feat: clothing-development-manager skill package v0.1.0

This commit is contained in:
skillfactor-pipeline
2026-08-14 16:24:42 +02:00
commit 5f392068f1
9 changed files with 932 additions and 0 deletions

31
PROVENANCE.md Normal file
View File

@@ -0,0 +1,31 @@
# Data provenance — clothing-development-manager
Where the content of this skill package comes from, counted by
content items (tasks, competences, tools, evidence entries, curated
knowledge). Rendered live by Gitea:
```mermaid
%%{init: {'theme':'base','themeVariables':{'pie1':'#f9a825','pie2':'#1e88e5','pie3':'#ff355e','pie4':'#d97757','pie5':'#8e24aa','pieOuterStrokeWidth':'0px','pieSectionTextColor':'#fff'}}}%%
pie showData
title Content sources — clothing-development-manager
"ESCO (occupation & competences)" : 24
"O*NET (tasks & tools)" : 59
"Job boards (market evidence)" : 33
"Anthropic official Claude skills" : 6
"External AI skill packs (mapped)" : 170
```
| Source | Items | Share | Files |
|---|---|---|---|
| ESCO (occupation & competences) | 24 | 8.2 % | references/profile.md, references/skills.md |
| O*NET (tasks & tools) | 59 | 20.2 % | references/tasks.md, references/tools.md |
| Job boards (market evidence) | 33 | 11.3 % | references/market.md (full report) + "Market evidence" headline sections |
| Wikipedia & AI expert curation | 0 | 0.0 % | glossary, literature, usecases, intake, quality, evals/ |
| Anthropic official Claude skills | 6 | 2.1 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
| External AI skill packs (mapped) | 170 | 58.2 % | references/ai-skills.md (per-source attribution inside) |
| Stack Exchange practitioner Q&A (CC-BY-SA) | 0 | 0.0 % | references/practitioner-qa.md (per-entry attribution inside) |
Licensing: O*NET (USDOL/ETA, CC BY 4.0) · ESCO (© European Union) ·
job-ad evidence via official APIs (JSearch/Adzuna) · Wikipedia content
paraphrased with source URLs — never copied · external AI skills are
linked, not copied (Apache-2.0/MIT/source-available, see ai-skills.md).

53
SKILL.md Normal file
View File

@@ -0,0 +1,53 @@
---
name: clothing-development-manager
description: "Occupational skill for the role 'clothing development manager' (also: clothing product manager, clothes product developer, apparel product developer, clothing manager, sample room manager). Use when the user asks for typical clothing development manager work such as: typical clothing development manager responsibilities"
---
# Clothing Development Manager
Clothing development managers define product concepts that are consistent with target consumers and overall marketing strategy. They receive scientific findings and specifications in order to lead the briefing and implementation of all relevant seasonal and strategic concepts, including distribution by channel, product, colour introductions, and merchandised assortments. They ensure realisation and execution within budget. They manage and execute the product line and category life cycle from concept determination through sales and distribution, contribution in market research and industry trends to influence category concepts and products.
## Core workflow
## How to use this skill
- Read [references/profile.md](references/profile.md) for the occupation profile and scope.
- Consult [references/tasks.md](references/tasks.md) for the full task and activity inventory.
- Check [references/skills.md](references/skills.md) for essential vs. optional competences.
- Check [references/tools.md](references/tools.md) for the software commonly used in this role.
- See [references/ai-skills.md](references/ai-skills.md) — matched external AI agent skills (per-source attribution).
## Key competences (essential)
- analyse supply chain strategies
- apparel manufacturing technology
- consumer goods industry
- coordinate manufacturing production activities
- distinguish accessories
- distinguish fabrics
- evaluate garment quality
- history of fashion
- manage briefs for clothing manufacturing
- manage budgets
- manufacturing of made-up textile articles
- manufacturing of wearing apparel
- operate computerised control systems
- perform process control in the wearing apparel industry
- prepare production prototypes
## Hot technologies
- Adobe Illustrator
- Epic Systems
- Linux
- Microsoft Excel
- Microsoft Office software
- Microsoft PowerPoint
- Microsoft Project
- Microsoft SQL Server
- Microsoft SQL Server Integration Services SSIS
- Microsoft SQL Server Reporting Services SSRS
---
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/01bcac9f-7881-4664-bd63-dea700e3b117), O*NET 30.3 (11-9041.01, manual nearest match). See manifest.json for licensing/attribution.*

262
manifest.json Normal file
View File

@@ -0,0 +1,262 @@
{
"name": "clothing-development-manager",
"title": "clothing development manager",
"version": "0.1.0",
"layer": "core",
"language": "en",
"generated": "2026-07-07",
"ids": {
"esco_uri": "http://data.europa.eu/esco/occupation/01bcac9f-7881-4664-bd63-dea700e3b117",
"esco_code": "1223.2.1.1",
"isco_group": "1223",
"onet_soc": "11-9041.01",
"crosswalk_match": "manual nearest via ISCO 1223 (Biofuels/Biodiesel Technology and Product Development Managers)"
},
"sources": [
{
"name": "ESCO",
"version": "1.2.1",
"url": "https://esco.ec.europa.eu/"
},
{
"name": "O*NET",
"version": "30.3",
"url": "https://www.onetcenter.org/",
"license": "CC BY 4.0"
}
],
"attribution": "This package includes information from the O*NET Database (v30.3) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), CC BY 4.0. skillfactor is not endorsed by USDOL/ETA. ESCO data (v1.2.1) (c) European Union, used per the ESCO download conditions: https://esco.ec.europa.eu/en/use-esco/download",
"counts": {
"tasks": 0,
"dwas": 0,
"skills_essential": 16,
"skills_optional": 7,
"software": 0
},
"enrichment_ai_skills": {
"generated": "2026-07-14",
"method": "deterministic mapping (ISCO prefix + title/competence keywords)",
"sources": {
"anthropics/skills": {
"repo": "https://github.com/anthropics/skills",
"commit": "f6656c1",
"license": "Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available \u2014 see the LICENSE.txt in the upstream skill folder",
"skills": 3
},
"wshobson/agents": {
"repo": "https://github.com/wshobson/agents",
"commit": "6fd3247",
"license": "MIT (c) Seth Hobson",
"skills": 1
},
"mukul975/Anthropic-Cybersecurity-Skills": {
"repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
"commit": "673da1f",
"license": "Apache-2.0",
"skills": 6
},
"zebbern/claude-code-guide": {
"repo": "https://github.com/zebbern/claude-code-guide",
"commit": "d2c5280",
"license": "MIT",
"skills": 2
},
"sanjay3290/ai-skills": {
"repo": "https://github.com/sanjay3290/ai-skills",
"commit": "3619692",
"license": "Apache-2.0",
"skills": 1
},
"gooseworks-ai/goose-skills": {
"repo": "https://github.com/gooseworks-ai/goose-skills",
"commit": "94ec916",
"license": "no explicit license \u2014 referenced by link only",
"skills": 1
},
"basicmachines-co/basic-memory": {
"repo": "https://github.com/basicmachines-co/basic-memory",
"commit": "53da71c",
"license": "custom (see upstream LICENSE)",
"skills": 2
},
"hypnguyen1209/offensive-claude": {
"repo": "https://github.com/hypnguyen1209/offensive-claude",
"commit": "4d62be7",
"license": "MIT",
"skills": 1
},
"aaron-he-zhu/aaron-marketing-skills": {
"repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills",
"commit": "b7b0b9f",
"license": "Apache-2.0",
"skills": 2
},
"nexscope-ai/eCommerce-Skills": {
"repo": "https://github.com/nexscope-ai/eCommerce-Skills",
"commit": "56f3288",
"license": "MIT",
"skills": 1
},
"OpenSenseNova/SenseNova-Skills": {
"repo": "https://github.com/OpenSenseNova/SenseNova-Skills",
"commit": "d8bb438",
"license": "MIT",
"skills": 12
},
"mohitagw15856/pm-claude-skills": {
"repo": "https://github.com/mohitagw15856/pm-claude-skills",
"commit": "876fa30",
"license": "MIT",
"skills": 1
},
"staruhub/ClaudeSkills": {
"repo": "https://github.com/staruhub/ClaudeSkills",
"commit": "3d4045d",
"license": "MIT",
"skills": 1
},
"a5c-ai/babysitter": {
"repo": "https://github.com/a5c-ai/babysitter",
"commit": "44a5d58b",
"license": "MIT",
"skills": 6
},
"jeremylongshore/claude-code-plugins-plus-skills": {
"repo": "https://github.com/jeremylongshore/claude-code-plugins-plus-skills",
"commit": "e112938a",
"license": "MIT",
"skills": 9
},
"ruvnet/claude-code-flow": {
"repo": "https://github.com/ruvnet/claude-code-flow",
"commit": "73914bd",
"license": "MIT",
"skills": 3
},
"ruvnet/ruflo": {
"repo": "https://github.com/ruvnet/ruflo",
"commit": "73914bd",
"license": "MIT",
"skills": 3
},
"affaan-m/everything-claude-code": {
"repo": "https://github.com/affaan-m/everything-claude-code",
"commit": "ed38744",
"license": "MIT",
"skills": 2
},
"brycewang-stanford/Auto-Empirical-Research-Skills": {
"repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills",
"commit": "85bf545",
"license": "CC-BY-4.0",
"skills": 1
},
"alirezarezvani/claude-skills": {
"repo": "https://github.com/alirezarezvani/claude-skills",
"commit": "0241f43",
"license": "MIT",
"skills": 2
},
"davepoon/buildwithclaude": {
"repo": "https://github.com/davepoon/buildwithclaude",
"commit": "3c94e0c",
"license": "MIT",
"skills": 1
},
"davila7/claude-code-templates": {
"repo": "https://github.com/davila7/claude-code-templates",
"commit": "fa79251",
"license": "MIT",
"skills": 8
},
"ahacker-1/cre-agent-skills": {
"repo": "https://github.com/ahacker-1/cre-agent-skills",
"commit": "618734e",
"license": "Apache-2.0",
"skills": 2
},
"giuseppe-trisciuoglio/developer-kit": {
"repo": "https://github.com/giuseppe-trisciuoglio/developer-kit",
"commit": "306f428",
"license": "MIT",
"skills": 1
},
"wanshuiyin/Auto-claude-code-research-in-sleep": {
"repo": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep",
"commit": "eb5c9d7",
"license": "MIT",
"skills": 1
},
"samber/cc-skills-golang": {
"repo": "https://github.com/samber/cc-skills-golang",
"commit": "4881c01",
"license": "MIT",
"skills": 1
},
"claude-world/director-mode-lite": {
"repo": "https://github.com/claude-world/director-mode-lite",
"commit": "9d0c333",
"license": "MIT",
"skills": 1
},
"vibeeval/vibecosystem": {
"repo": "https://github.com/vibeeval/vibecosystem",
"commit": "cea9462",
"license": "MIT",
"skills": 1
},
"microsoft/skills": {
"repo": "https://github.com/microsoft/skills",
"commit": "dc543aa",
"license": "MIT",
"skills": 1
},
"Orchestra-Research/AI-research-SKILLs": {
"repo": "https://github.com/Orchestra-Research/AI-research-SKILLs",
"commit": "773a529",
"license": "MIT",
"skills": 1
},
"zechenzhangAGI/AI-research-SKILLs": {
"repo": "https://github.com/zechenzhangAGI/AI-research-SKILLs",
"commit": "773a529",
"license": "MIT",
"skills": 1
},
"ThinkInAIXYZ/deepchat": {
"repo": "https://github.com/ThinkInAIXYZ/deepchat",
"commit": "f275c92",
"license": "Apache-2.0",
"skills": 1
}
},
"total_skills": 80,
"tiers": {
"core": 12,
"adjacent": 68
}
},
"provenance": {
"items": {
"esco": 24,
"onet": 59,
"jobads": 33,
"wiki_ai": 0,
"anthropic": 6,
"ai_skills": 170,
"stackx": 0
},
"share_percent": {
"esco": 8.2,
"onet": 20.2,
"jobads": 11.3,
"wiki_ai": 0.0,
"anthropic": 2.1,
"ai_skills": 58.2,
"stackx": 0.0
},
"method": "content items per source category"
},
"collar": "white",
"computer_work": true
}

354
references/ai-skills.md Normal file
View File

@@ -0,0 +1,354 @@
# External AI agent skills — clothing-development-manager
Proven, publicly available AI agent skills mapped to this occupation.
Nothing is copied from the sources: every entry is a name, a one-line
summary and a link to the upstream skill package. Each section names
its source repository, commit, license and retrieval date.
**Tiers:** `core` = the skill directly exercises a top market hard
skill, tool or method (from gated job-ad evidence) or an essential
ESCO competence of this occupation; `adjacent` =
plausibly useful, secondary. Entries are capped at 12 per source
and 80 in total per occupation (core first,
strongest matches survive); everything beyond the caps is excluded
and logged in the pipeline audit trail, not in this package.
_Matched deterministically (ISCO group + title/competence keywords,
tiered against market evidence + ESCO essentials) by
`pipeline/p5_enrich_ai_skills.py` on 2026-07-14._
## Source: anthropics/skills
- Repository: [https://github.com/anthropics/skills](https://github.com/anthropics/skills) (commit `f6656c1`, retrieved 2026-07-14)
- License: Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available — see the LICENSE.txt in the upstream skill folder
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `docx` | adjacent | Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to … | [source](https://github.com/anthropics/skills/tree/main/skills/docx) |
| `pdf` | adjacent | Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating … | [source](https://github.com/anthropics/skills/tree/main/skills/pdf) |
| `pptx` | adjacent | Use this skill any time a .pptx or .potx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx or .potx file (even … | [source](https://github.com/anthropics/skills/tree/main/skills/pptx) |
## Source: wshobson/agents
- Repository: [https://github.com/wshobson/agents](https://github.com/wshobson/agents) (commit `6fd3247`, retrieved 2026-07-14)
- License: MIT (c) Seth Hobson
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `team-collaboration-dx-optimizer (agent)` | adjacent | Developer Experience specialist. Improves tooling, setup, and workflows. Use PROACTIVELY when setting up new projects, after team feedback, or when development friction is noticed. | [source](https://github.com/wshobson/agents/tree/main/plugins/team-collaboration/agents/dx-optimizer.md) |
## Source: a5c-ai/babysitter
- Repository: [https://github.com/a5c-ai/babysitter](https://github.com/a5c-ai/babysitter) (commit `44a5d58b`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `supply-chain-digital-twin` | core | Digital twin representation of supply chain for real-time monitoring and simulation | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/business/supply-chain/skills/supply-chain-digital-twin) |
| `translation-management` | adjacent | Integration with translation management systems and i18n workflows. Connect with Crowdin, Transifex, Weblate, manage translation memory, synchronize glossaries, and automate localization pipelines. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/technical-documentation/skills/translation-management) |
| `growing-outside-in-systems` | adjacent | Drive feature development using Outside-In TDD with Hexagonal Architecture. Design emerges through inline code, in-memory fakes, interface extraction, and deferred I/O. Use when building features, writing tests, or structuring backend … | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/backend-development/skills/growing-outside-in-systems) |
| `context-engineering` | adjacent | Context window monitoring and budget management. Keeps orchestrator at 15-30% context usage while subagents get full 200k tokens. Provides warnings at thresholds, context-aware summarization triggers, and wave-level budget planning. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/methodologies/gsd/skills/context-engineering) |
| `embedded-docs` | adjacent | Embedded firmware documentation generation and maintenance using Doxygen and related tools. Expert skill for API documentation, hardware interface documentation, memory maps, and integration with documentation systems. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/embedded-systems/skills/embedded-docs) |
| `gpu-memory-analysis` | adjacent | Specialized skill for GPU memory hierarchy analysis and optimization. Analyze memory access patterns, detect bank conflicts, optimize cache utilization, profile global memory bandwidth, and generate optimized memory access code patterns. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/gpu-programming/skills/gpu-memory-analysis) |
## Source: aaron-he-zhu/aaron-marketing-skills
- Repository: [https://github.com/aaron-he-zhu/aaron-marketing-skills](https://github.com/aaron-he-zhu/aaron-marketing-skills) (commit `b7b0b9f`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `content-gap-analysis` | core | Use when the user asks to "find content gaps", "竞品写了什么", or "还应该写什么"; builds a competitor-relative coverage map of missing topics, keyword gaps, and editorial-calendar opportunities. Not for raw keyword demand discovery — use … | [source](https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/b7b0b9f/seo-geo/research/content-gap-analysis) |
| `memory-management` | adjacent | Use when the user asks to "remember project context", review saved findings, initialize runtime memory, archive stale work, reconcile notes, or erase a subject; manages authorized HOT/WARM/COLD working memory across all disciplines while … | [source](https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/b7b0b9f/protocol/memory-management) |
## Source: affaan-m/everything-claude-code
- Repository: [https://github.com/affaan-m/everything-claude-code](https://github.com/affaan-m/everything-claude-code) (commit `ed38744`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `agentic-os` | adjacent | Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/agentic-os) |
| `knowledge-ops` | adjacent | Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/knowledge-ops) |
## Source: ahacker-1/cre-agent-skills
- Repository: [https://github.com/ahacker-1/cre-agent-skills](https://github.com/ahacker-1/cre-agent-skills) (commit `618734e`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `cre-office` | adjacent | CRE Office analysis suite - 8 specialist skills for U.S. office acquisitions, refinancings, lease-up, tenant credit, TI/LC underwriting, financing fit, and investment committee memo writing. | [source](https://github.com/ahacker-1/cre-agent-skills/tree/618734e/claude-code-plugins/cre-office) |
| `cre-underwriting` | adjacent | CRE Underwriting analysis suite — 3 specialist skills for building pro formas, running sensitivity scenarios, and writing investment committee memos for multifamily acquisitions. | [source](https://github.com/ahacker-1/cre-agent-skills/tree/618734e/claude-code-plugins/cre-underwriting) |
## Source: alirezarezvani/claude-skills
- Repository: [https://github.com/alirezarezvani/claude-skills](https://github.com/alirezarezvani/claude-skills) (commit `0241f43`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `ceo-advisor` | adjacent | Executive leadership guidance for strategic decision-making, organizational development, and stakeholder management. Use when planning strategy, preparing board presentations, managing investors, developing organizational culture, making … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/c-level-advisor/skills/ceo-advisor) |
| `founder-coach` | adjacent | Personal leadership development for founders and first-time CEOs. Covers founder archetype identification, delegation frameworks, energy management, CEO calendar audits, leadership style evolution, blind spot identification, imposter … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/c-level-advisor/skills/founder-coach) |
## Source: basicmachines-co/basic-memory
- Repository: [https://github.com/basicmachines-co/basic-memory](https://github.com/basicmachines-co/basic-memory) (commit `53da71c`, retrieved 2026-07-14)
- License: custom (see upstream LICENSE)
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory-schema` | core | Schema lifecycle management for Basic Memory: discover unschemaed notes, infer schemas, create and edit schema definitions, validate notes, and detect drift. Use when working with structured note types (Task, Person, Meeting, etc.) to … | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-schema) |
| `memory-tasks` | adjacent | Task management via Basic Memory schemas: create, track, and resume structured tasks that survive context compaction. Uses BM's schema system for uniform notes queryable through the knowledge graph. | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-tasks) |
## Source: brycewang-stanford/Auto-Empirical-Research-Skills
- Repository: [https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills) (commit `85bf545`, retrieved 2026-07-14)
- License: CC-BY-4.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `hud` | adjacent | Diverga HUD (Heads-Up Display) management skill. Configure and manage the research project statusline display. Supports multiple presets: research, checkpoint, memory, minimal. Triggers: "hud", "statusline", "display settings | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/25-HosungYou-Diverga/skills/hud) |
## Source: claude-world/director-mode-lite
- Repository: [https://github.com/claude-world/director-mode-lite](https://github.com/claude-world/director-mode-lite) (commit `9d0c333`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `handoff-gemini` | adjacent | Delegate long-context analysis, research, and large-document summarization to Google Gemini CLI (1M-token context) via non-interactive `gemini -p`, preserving Claude context. Use when the user says 'use gemini'/'hand off to gemini' or a … | [source](https://github.com/claude-world/director-mode-lite/tree/9d0c333/skills/handoff-gemini) |
## Source: davepoon/buildwithclaude
- Repository: [https://github.com/davepoon/buildwithclaude](https://github.com/davepoon/buildwithclaude) (commit `3c94e0c`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `google-calendar-automation` | adjacent | Automate Google Calendar events, scheduling, availability checks, and attendee management via Rube MCP (Composio). Create events, find free slots, manage attendees, and list calendars programmatically. | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/google-calendar-automation) |
## Source: davila7/claude-code-templates
- Repository: [https://github.com/davila7/claude-code-templates](https://github.com/davila7/claude-code-templates) (commit `fa79251`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `Excel Analysis` | adjacent | Analyze Excel spreadsheets, create pivot tables, generate charts, and perform data analysis. Use when analyzing Excel files, spreadsheets, tabular data, or .xlsx files. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/enterprise-communication/excel-analysis) |
| `agent-memory-mcp` | adjacent | A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions). | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/agent-memory-mcp) |
| `context-window-management` | adjacent | Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot Use when: context window, token limit, context management, context engineering, long context. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/context-window-management) |
| `it-operations` | adjacent | Manages IT infrastructure, monitoring, incident response, and service reliability. Provides frameworks for ITIL service management, observability strategies, automation, backup/recovery, capacity planning, and operational excellence … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/development/it-operations) |
| `ai-agents-architect` | adjacent | Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build agent, AI agent, autonomous agent, tool use, function calling. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/ai-agents-architect) |
| `c-pro` | adjacent | Write efficient C code with proper memory management, pointer | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/development/c-pro) |
| `conversation-memory` | adjacent | Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory Use when: conversation memory, remember, memory persistence, long-term memory, chat history. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/conversation-memory) |
| `langchain` | adjacent | Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/agents-langchain) |
## Source: giuseppe-trisciuoglio/developer-kit
- Repository: [https://github.com/giuseppe-trisciuoglio/developer-kit](https://github.com/giuseppe-trisciuoglio/developer-kit) (commit `306f428`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory-md-management` | adjacent | Provides comprehensive memory file management capabilities including auditing, quality assessment, and targeted improvements for files such as CLAUDE.md. Use when user asks to check, audit, update, improve, fix, maintain, or validate … | [source](https://github.com/giuseppe-trisciuoglio/developer-kit/tree/306f428/plugins/developer-kit-core/skills/memory-md-management) |
## Source: gooseworks-ai/goose-skills
- Repository: [https://github.com/gooseworks-ai/goose-skills](https://github.com/gooseworks-ai/goose-skills) (commit `94ec916`, retrieved 2026-07-14)
- License: no explicit license — referenced by link only
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `investor-call-prep` | core | Prepare for investor calls by pulling upcoming meetings from Google Calendar, deeply researching each investor and their firm (website scraping, portfolio analysis, thesis extraction), checking for competitor conflicts, and outputting an … | [source](https://github.com/gooseworks-ai/goose-skills/tree/94ec916/skills/research/capabilities/investor-call-prep) |
## Source: hypnguyen1209/offensive-claude
- Repository: [https://github.com/hypnguyen1209/offensive-claude](https://github.com/hypnguyen1209/offensive-claude) (commit `4d62be7`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `vulnerability-analysis` | core | Use when auditing source code for vulnerabilities — drive CodeQL/Semgrep/Joern to taint untrusted data source-to-sink across injection, memory safety, deserialization/prototype-pollution, secrets/crypto/authz/race, and supply-chain risks | [source](https://github.com/hypnguyen1209/offensive-claude/tree/4d62be7/skills/vulnerability-analysis) |
## Source: jeremylongshore/claude-code-plugins-plus-skills
- Repository: [https://github.com/jeremylongshore/claude-code-plugins-plus-skills](https://github.com/jeremylongshore/claude-code-plugins-plus-skills) (commit `e112938a`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `windsurf-cascade-context` | adjacent | Manage Cascade context window and memory for complex projects. Activate when users mention "cascade context", "ai memory", "context management", "large codebase navigation", or "multi-session development". Handles context optimization and … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/skill-databases/windsurf/skills/windsurf-cascade-context) |
| `twinmind-reference-architecture` | adjacent | Production architecture for meeting AI systems using TwinMind: transcription pipeline, memory vault, action item workflow, and calendar integration. Use when implementing reference architecture, or managing TwinMind meeting AI operations. … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/twinmind-pack/skills/twinmind-reference-architecture) |
| `apify-cost-tuning` | adjacent | Optimize Apify platform costs through memory tuning, compute unit management, and proxy budgeting. Use when analyzing Apify billing, reducing Actor run costs, or implementing usage monitoring and budget alerts. Trigger: "apify cost", … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/apify-pack/skills/apify-cost-tuning) |
| `cursor-context-management` | adjacent | Optimize context window usage in Cursor with @-mentions, context pills, and conversation strategy. Triggers on "cursor context", "context window", "context limit", "cursor memory", "context management", "@-mentions", "context pills". | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/cursor-pack/skills/cursor-context-management) |
| `evernote-core-workflow-a` | adjacent | Execute Evernote primary workflow: Note Creation and Management. Use when creating notes, organizing content, managing notebooks, or implementing note-taking features. Trigger with phrases like "create evernote note", "evernote note … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/evernote-pack/skills/evernote-core-workflow-a) |
| `excel-lbo-modeler` | adjacent | Build leveraged buyout (LBO) models in Excel with debt schedules and IRR analysis. Use when structuring LBO transactions or analyzing PE returns. Trigger with phrases like ''excel lbo'', ''build lbo model'', ''calculate pe returns''. | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/business-tools/excel-analyst-pro/skills/excel-lbo-modeler) |
| `excel-variance-analyzer` | adjacent | Analyze budget vs actual variances in Excel with drill-down and root cause analysis. Use when performing variance analysis or explaining budget differences. Trigger with phrases like ''excel variance'', ''analyze budget variance'', … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/business-tools/excel-analyst-pro/skills/excel-variance-analyzer) |
| `maintainx-migration-deep-dive` | adjacent | Execute complete platform migrations to or from MaintainX. Use when migrating from legacy CMMS systems, performing major re-platforming, or transitioning to MaintainX from spreadsheets or other tools. Trigger with phrases like "migrate to … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/maintainx-pack/skills/maintainx-migration-deep-dive) |
| `memory-kit` | adjacent | Persistent context management for Claude Code sessions. Save, load, update, share, and audit session memory via MEMORY.md. Prevents context loss on compaction or session restart. Use when starting a session, before compaction, syncing … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/productivity/claude-memory-kit/skills/memory-kit) |
## Source: microsoft/skills
- Repository: [https://github.com/microsoft/skills](https://github.com/microsoft/skills) (commit `dc543aa`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `kql` | adjacent | KQL language expertise for writing correct, efficient Kusto Query Language queries. Covers syntax gotchas, join patterns, dynamic types, datetime pitfalls, regex patterns, serialization, memory management, result-size discipline, and … | [source](https://github.com/microsoft/skills/tree/dc543aa/.github/skills/kql) |
## Source: mohitagw15856/pm-claude-skills
- Repository: [https://github.com/mohitagw15856/pm-claude-skills](https://github.com/mohitagw15856/pm-claude-skills) (commit `876fa30`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `win-loss-analysis` | core | Analyze why deals are won and lost and turn it into an action plan. Use when asked to run a win/loss analysis, review closed-won and closed-lost deals, understand why the team is losing to a competitor, or summarize sales feedback into … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-pmm/skills/win-loss-analysis) |
## Source: mukul975/Anthropic-Cybersecurity-Skills
- Repository: [https://github.com/mukul975/Anthropic-Cybersecurity-Skills](https://github.com/mukul975/Anthropic-Cybersecurity-Skills) (commit `673da1f`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `analyzing-macro-malware-in-office-documents` | core | Analyzes malicious VBA macros embedded in Microsoft Office documents (Word, Excel, PowerPoint) to identify download cradles, payload execution, persistence mechanisms, and anti-analysis techniques. Uses olevba, oledump, and VBA … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-macro-malware-in-office-documents) |
| `analyzing-memory-forensics-with-lime-and-volatility` | adjacent | Performs Linux memory acquisition using LiME (Linux Memory Extractor) kernel module and analysis with Volatility 3 framework. Extracts process lists, network connections, bash history, loaded kernel modules, and injected code from Linux … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-memory-forensics-with-lime-and-volatility) |
| `analyzing-linux-kernel-rootkits` | adjacent | Detect kernel-level rootkits in Linux memory dumps using Volatility3 linux plugins (check_syscall, lsmod, hidden_modules), rkhunter system scanning, and /proc vs /sys discrepancy analysis to identify hooked syscalls, hidden kernel modules, … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-linux-kernel-rootkits) |
| `conducting-memory-forensics-with-volatility` | adjacent | Performs memory forensics analysis using Volatility 3 to extract evidence of malware execution, process injection, network connections, and credential theft from RAM dumps captured during incident response. Covers memory acquisition, … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/conducting-memory-forensics-with-volatility) |
| `detecting-process-injection-techniques` | adjacent | Detects and analyzes process injection techniques used by malware including classic DLL injection, process hollowing, APC injection, thread hijacking, and reflective loading. Uses memory forensics, API monitoring, and behavioral analysis … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-process-injection-techniques) |
| `detecting-rootkit-activity` | adjacent | Detects rootkit presence on compromised systems by identifying hidden processes, hooked system calls, modified kernel structures, hidden files, and covert network connections using memory forensics, cross-view detection, and integrity … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-rootkit-activity) |
## Source: nexscope-ai/eCommerce-Skills
- Repository: [https://github.com/nexscope-ai/eCommerce-Skills](https://github.com/nexscope-ai/eCommerce-Skills) (commit `56f3288`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `tiktok-shop-content-strategy` | core | TikTok Shop content creation strategy and planning. Trending formats, viral hooks, product showcasing, hashtag strategy, and content calendar development. Use when the user asks about TikTok content strategy, viral content creation, TikTok … | [source](https://github.com/nexscope-ai/eCommerce-Skills/tree/56f3288/tiktok-shop-content-strategy) |
## Source: OpenSenseNova/SenseNova-Skills
- Repository: [https://github.com/OpenSenseNova/SenseNova-Skills](https://github.com/OpenSenseNova/SenseNova-Skills) (commit `d8bb438`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `trend-analysis` | core | 基于多维度数据进行分级评估与趋势预测,通过设定差异化增长率计算预测值,并生成对比可视化图表,适用于绩效评估、目标设定等场景。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-analysis/trend-analysis) |
| `category-filtering-and-difficulty-analysis` | adjacent | 对Excel数据进行自定义分类统计、交叉分析与可视化并基于多维度指标如文本长度、术语密度、正则匹配等进行综合评分与分级适用于多类别数据分布统计及文本内容难度/质量评估场景。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-filtering/category-filtering) |
| `dynamic-large-file-parquet-analysis` | adjacent | 动态统计Excel总行数当数据量过大≥10000行时自动转换为Parquet格式加速读取并对指定目标列进行条件筛选、分类汇总与结果导出适用于超大体积Excel文件的快速读取与统计分析。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-table-styling/table-theme-styling) |
| `dynamic-percentage-and-large-file-analysis` | adjacent | 根据文件行数动态切换大文件处理策略Parquet转换通过逐行扫描或列匹配提取关键指标并计算占比、均值等统计量最终输出结构化Excel报告及可视化图表。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-statistics/percentage-calculation) |
| `excel-data-analysis-and-report-generation` | adjacent | 从Excel提取多类型数据并生成包含可视化图表与下载链接的综合分析报告。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-result-export/report-generation-export) |
| `excel-multi-sheet-dynamic-analysis` | adjacent | 用于分析包含多个Sheet的Excel文件动态判断数据量级以决定是否转换为Parquet进行大文件处理并支持跨Sheet的特定字段统计、数据清洗、交叉分析与可视化最终生成带下载链接的汇总报告。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-reading/specific-sheet-reading) |
| `excel-multi-sheet-threshold-analysis` | adjacent | 统计多Sheet Excel总行数并根据规模选择处理策略提取特定维度信息进行去重统计并生成摘要与明细报表。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-cleaning/duplicate-removal) |
| `excel-smart-analysis-and-cleaning` | adjacent | 对多 Sheet Excel 进行智能清洗、跨表核对与可视化分析。。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-cleaning/missing-value-handling) |
| `excel-threshold-analysis-and-styling` | adjacent | 根据 Excel 数据量级自动判断处理策略,执行数值列清洗、条件过滤,并使用 openpyxl 对符合条件的单元格进行样式标记与导出。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-filtering/threshold-filtering) |
| `group-by-analysis` | adjacent | 对多 Sheet 的 Excel 文件进行行数统计、大文件 Parquet 转换预处理、数据清洗及分组聚合分析,并生成带样式标记的统计表与可视化图表。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-analysis/group-by-analysis) |
| `large-excel-analysis-and-formatting` | adjacent | 用于处理多Sheet大型Excel文件支持大文件Parquet格式转换提速并使用openpyxl生成带条件高亮和自定义样式的格式化Excel报告及下载链接。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-reading/large-excel-reading) |
| `large-file-parquet-analysis-and-highlight` | adjacent | 当Excel文件总行数超过1万行时通过转换为Parquet格式提升读取性能提取目标指标并计算最大值最后将结果输出为Excel并对特定行进行高亮标注。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-cell-coloring/category-coloring) |
## Source: Orchestra-Research/AI-research-SKILLs
- Repository: [https://github.com/Orchestra-Research/AI-research-SKILLs](https://github.com/Orchestra-Research/AI-research-SKILLs) (commit `773a529`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `langchain` | adjacent | Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for … | [source](https://github.com/Orchestra-Research/AI-research-SKILLs/tree/773a529/14-agents/langchain) |
## Source: ruvnet/claude-code-flow
- Repository: [https://github.com/ruvnet/claude-code-flow](https://github.com/ruvnet/claude-code-flow) (commit `73914bd`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `AgentDB Memory Patterns` | adjacent | Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/agentdb-memory-patterns) |
| `memory-management` | adjacent | AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, … | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/memory-management) |
| `Hooks Automation` | adjacent | Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$post task hooks, session management, Git integration, memory coordination, and neural pattern training … | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/hooks-automation) |
## Source: ruvnet/ruflo
- Repository: [https://github.com/ruvnet/ruflo](https://github.com/ruvnet/ruflo) (commit `73914bd`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `AgentDB Memory Patterns` | adjacent | Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/agentdb-memory-patterns) |
| `memory-management` | adjacent | AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, … | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/memory-management) |
| `Hooks Automation` | adjacent | Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$post task hooks, session management, Git integration, memory coordination, and neural pattern training … | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/hooks-automation) |
## Source: samber/cc-skills-golang
- Repository: [https://github.com/samber/cc-skills-golang](https://github.com/samber/cc-skills-golang) (commit `4881c01`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `golang-security` | adjacent | Security best practices and vulnerability prevention for Golang. Covers injection (SQL, command, XSS), cryptography, filesystem safety, network security, cookies, secrets management, memory safety, and logging. Apply when writing, … | [source](https://github.com/samber/cc-skills-golang/tree/4881c01/skills/golang-security) |
## Source: sanjay3290/ai-skills
- Repository: [https://github.com/sanjay3290/ai-skills](https://github.com/sanjay3290/ai-skills) (commit `3619692`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `deep-research` | core | Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but produces detailed, cited … | [source](https://github.com/sanjay3290/ai-skills/tree/3619692/skills/deep-research) |
## Source: staruhub/ClaudeSkills
- Repository: [https://github.com/staruhub/ClaudeSkills](https://github.com/staruhub/ClaudeSkills) (commit `3d4045d`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `deep-research` | core | Use this skill when the user wants an evidence-based research memo, literature review, market/policy/technical landscape, or a multi-source decision brief with citations, trade-offs, and a clear conclusion. Best for tasks that need … | [source](https://github.com/staruhub/ClaudeSkills/tree/3d4045d/skills/Geek-skills-deep-research) |
## Source: ThinkInAIXYZ/deepchat
- Repository: [https://github.com/ThinkInAIXYZ/deepchat](https://github.com/ThinkInAIXYZ/deepchat) (commit `f275c92`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory-management` | adjacent | Guide the agent to recall, remember, and route durable learning into Memory, Skills, Scheduled Tasks, or Tape. | [source](https://github.com/ThinkInAIXYZ/deepchat/tree/f275c92/resources/skills/memory-management) |
## Source: vibeeval/vibecosystem
- Repository: [https://github.com/vibeeval/vibecosystem](https://github.com/vibeeval/vibecosystem) (commit `cea9462`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `knowledge-management` | adjacent | Proje bilgisini 4 katmanli yapida organize et. Aktif projeler, sorumluluk alanlari, referans kaynaklar ve arsiv. Progressive summarization ile bilgiyi katman katman ozumse. Second brain pattern'i ile codebase bilgisini yapilandir. | [source](https://github.com/vibeeval/vibecosystem/tree/cea9462/skills/knowledge-management) |
## Source: wanshuiyin/Auto-claude-code-research-in-sleep
- Repository: [https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep) (commit `eb5c9d7`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `system-profile` | adjacent | Profile a target (script, process, GPU, memory, interconnect) for performance analysis. Use when user says \"profile\", \"benchmark\", \"bottleneck\", or wants performance analysis. | [source](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/eb5c9d7/skills/skills-codex/system-profile) |
## Source: zebbern/claude-code-guide
- Repository: [https://github.com/zebbern/claude-code-guide](https://github.com/zebbern/claude-code-guide) (commit `d2c5280`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `vc-industry-research` | core | Generate professional primary market / venture capital industry research reports, including sector deep-dives, investment memos, and market analysis. Produces detailed PDF reports covering TMT, consumer, healthcare, and industrials. … | [source](https://github.com/zebbern/claude-code-guide/tree/d2c5280/skills/vc-industry-research) |
| `regression-modeler` | adjacent | Run regression analysis (OLS or logistic) on uploaded CSV/Excel data, generating coefficients, R², p-values, VIF, and plain-language interpretation. Triggered by requests for regression modeling, fitting data, testing significance, … | [source](https://github.com/zebbern/claude-code-guide/tree/d2c5280/skills/regression-modeler) |
## Source: zechenzhangAGI/AI-research-SKILLs
- Repository: [https://github.com/zechenzhangAGI/AI-research-SKILLs](https://github.com/zechenzhangAGI/AI-research-SKILLs) (commit `773a529`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `langchain` | adjacent | Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for … | [source](https://github.com/zechenzhangAGI/AI-research-SKILLs/tree/773a529/14-agents/langchain) |

69
references/market.md Normal file
View File

@@ -0,0 +1,69 @@
# Market evidence report — clothing-development-manager
Source: **10 real job ads** (JSearch API, countries: us 10), extracted into the MSSQL evidence store; as of 2026-07-10.
This report contains extracted, aggregated facts only — no ad text is
reproduced (copyright / platform terms).
## Seniority distribution
| Seniority | Ads | Share |
|---|---|---|
| mid | 8 | 80 % |
| senior | 2 | 20 % |
## Tools — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | PLM systems | 4 | 40 % |
| 2 | Microsoft Excel | 3 | 30 % |
## Hard skills — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | product development | 8 | 80 % |
## Methods — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
## Responsibilities — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
## Regional breakdown
> **Corpus note:** 10 relevant ads in total — below the 100-ad target for a fully reliable ranking. Percentages above should be read as indicative.
### US (us)
**Insufficient evidence** — 10 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
### UK (gb)
**Insufficient evidence** — 0 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
### EU/DACH (de, at, ch, nl)
**Insufficient evidence** — 0 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
## Job title variants in the market
| Title | Ads |
|---|---|
| Apparel Product Manager | 1 |
| Fashion Product Development & Sourcing Manager | 1 |
| FP Movement Sr Manager Product Development - Outerwear | 1 |
| Mens Woven Shirt and Soft Jacket Apparel Development Manager | 1 |
| Product Developer/Product Manager- Apparel | 1 |
| Product Development Manager (Textiles / Apparel) | 1 |
| Product Development Manager, Wholesale Apparel | 1 |
| Senior Fashion Product Manager - Production & Sourcing | 1 |
| Senior Product Manager, Fashion Development & Production | 1 |
| Strategic Product Development Manager — Apparel & Home | 1 |
Methodology: entities extracted per ad ({hard_skills, tools, methods, responsibilities, seniority}), normalized, counted as DISTINCT ads per entity; report threshold ≥ 3 ads. Headline sections in skills.md/tools.md use the stricter ≥ 20 % threshold.

21
references/profile.md Normal file
View File

@@ -0,0 +1,21 @@
# Occupation profile — clothing development manager
- **ESCO URI:** http://data.europa.eu/esco/occupation/01bcac9f-7881-4664-bd63-dea700e3b117
- **ESCO code:** 1223.2.1.1
- **ISCO-08 group:** 1223 — Research and development managers
## Description (ESCO)
Clothing development managers define product concepts that are consistent with target consumers and overall marketing strategy. They receive scientific findings and specifications in order to lead the briefing and implementation of all relevant seasonal and strategic concepts, including distribution by channel, product, colour introductions, and merchandised assortments. They ensure realisation and execution within budget. They manage and execute the product line and category life cycle from concept determination through sales and distribution, contribution in market research and industry trends to influence category concepts and products.
## Definition
nan
## Alternative labels
- clothing product manager
- clothes product developer
- apparel product developer
- clothing manager
- sample room manager

56
references/skills.md Normal file
View File

@@ -0,0 +1,56 @@
# Competences — clothing development manager
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/01bcac9f-7881-4664-bd63-dea700e3b117).
## Essential
- **analyse supply chain strategies** (skill/competence)
- **apparel manufacturing technology** (knowledge)
- **consumer goods industry** (knowledge)
- **coordinate manufacturing production activities** (skill/competence)
- **distinguish accessories** (skill/competence)
- **distinguish fabrics** (skill/competence)
- **evaluate garment quality** (skill/competence)
- **history of fashion** (knowledge)
- **manage briefs for clothing manufacturing** (skill/competence)
- **manage budgets** (skill/competence)
- **manufacturing of made-up textile articles** (knowledge)
- **manufacturing of wearing apparel** (knowledge)
- **operate computerised control systems** (skill/competence)
- **perform process control in the wearing apparel industry** (skill/competence)
- **prepare production prototypes** (skill/competence)
- **properties of textile materials** (knowledge)
## Optional
- keep up to date on costume design (skill/competence)
- manufacture personal protective equipment made of textile (skill/competence)
- manufacture wearing apparel products (skill/competence)
- portfolio management in textile manufacturing (knowledge)
- sew pieces of fabric (skill/competence)
- show sample garments (skill/competence)
- standard sizing systems for clothing (knowledge)
<!-- market-evidence -->
## Market evidence (job-ad analysis, 10 ads, as of 2026-07-10)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Hard skills
- product development — **80 %**
- sourcing — **20 %**
- manufacturing — **20 %**
- competitor analysis — **20 %**
- cost analysis — **20 %**
- issue resolution — **20 %**
- vendor communication — **20 %**
- vendor management — **20 %**
### Responsibilities
- issue resolution — **20 %**
- team leadership — **20 %**
<!-- market-evidence -->

36
references/tasks.md Normal file
View File

@@ -0,0 +1,36 @@
# Tasks & work activities — clothing development manager
Source: O*NET 30.3, occupation 11-9041.01 (Biofuels/Biodiesel Technology and Product Development Managers) — manual nearest-occupation mapping via ISCO group 1223; the official ESCO crosswalk has no entry for this ESCO occupation.
## Task statements
- **[Core]** Develop lab scale models of industrial scale processes, such as fermentation.
- **[Supplemental]** Develop computational tools or approaches to improve biofuels research and development activities.
- **[Core]** Provide technical or scientific guidance to technical staff in the conduct of biofuels research or development.
- **[Core]** Prepare, or oversee the preparation of, experimental plans for biofuels research or development.
- **[Core]** Prepare biofuels research and development reports for senior management or technical professionals.
- **[Supplemental]** Perform protein functional analysis and engineering for processing of feedstock and creation of biofuels.
- **[Supplemental]** Develop separation processes to recover biofuels.
- **[Supplemental]** Develop methods to recover ethanol or other fuels from complex bioreactor liquid and gas streams.
- **[Supplemental]** Develop methods to estimate the efficiency of biomass pretreatments.
- **[Supplemental]** Design or execute solvent or product recovery experiments in laboratory or field settings.
- **[Core]** Design or conduct applied biodiesel or biofuels research projects on topics, such as transport, thermodynamics, mixing, filtration, distillation, fermentation, extraction, and separation.
- **[Supplemental]** Design chemical conversion processes, such as etherification, esterification, interesterification, transesterification, distillation, hydrogenation, oxidation or reduction of fats and oils, and vegetable oil refining.
- **[Core]** Conduct experiments on biomass or pretreatment technologies.
- **[Core]** Conduct experiments to test new or alternate feedstock fermentation processes.
- **[Core]** Analyze data from biofuels studies, such as fluid dynamics, water treatments, or solvent extraction and recovery processes.
- **[Core]** Oversee biodiesel/biofuels prototyping or development projects.
- **[Core]** Propose new biofuels products, processes, technologies or applications based on findings from applied biofuels or biomass research projects.
- **[Supplemental]** Conduct research to breed or develop energy crops with improved biomass yield, environmental adaptability, pest resistance, production efficiency, bioprocessing characteristics, or reduced environmental impacts.
## Detailed work activities
- Communicate green energy production information.
- Develop operating strategies, plans, or procedures for green or sustainable operations.
- Develop specifications for new products or processes.
- Develop technical processes to improve the efficiency of biofuel production.
- Direct green energy production operations.
- Evaluate energy production data.
- Model operational processes.
- Supervise workers performing environmentally sustainable activities.
- Test green technologies or processes.

50
references/tools.md Normal file
View File

@@ -0,0 +1,50 @@
# Tools & technology — clothing development manager
Source: O*NET 30.3, occupation 11-9041.01 (Biofuels/Biodiesel Technology and Product Development Managers) — manual nearest-occupation mapping via ISCO group 1223; the official ESCO crosswalk has no entry for this ESCO occupation.
| Software | Category | Hot technology |
|---|---|---|
| Adobe Illustrator | Graphics or photo imaging software | yes |
| Epic Systems | Medical software | yes |
| Linux | Operating system software | yes |
| Microsoft Excel | Spreadsheet software | yes |
| Microsoft Office software | Office suite software | yes |
| Microsoft PowerPoint | Presentation software | yes |
| Microsoft Project | Project management software | yes |
| Microsoft SQL Server | Data base management system software | yes |
| Microsoft SQL Server Integration Services SSIS | Enterprise application integration software | yes |
| Microsoft SQL Server Reporting Services SSRS | Object or component oriented development software | yes |
| Microsoft Visio | Process mapping and design software | yes |
| Microsoft Word | Word processing software | yes |
| Oracle Java | Object or component oriented development software | yes |
| Oracle Primavera Enterprise Project Portfolio Management | Project management software | yes |
| Perl | Object or component oriented development software | yes |
| Python | Object or component oriented development software | yes |
| SAP software | Enterprise resource planning ERP software | yes |
| UNIX | Operating system software | yes |
| Ab Initio | Enterprise resource planning ERP software | |
| Agilent ChemStation | Analytical or scientific software | |
| Dassault Systemes CATIA | Computer aided manufacturing CAM software | |
| Email software | Electronic mail software | |
| Fleet Asset Management and Optimization Solutions FAMOS PEPSE | Analytical or scientific software | |
| Formula translation/translator FORTRAN | Development environment software | |
| Fund accounting software | Accounting software | |
| GE Energy GateCycle | Analytical or scientific software | |
| Microsoft Dynamics | Enterprise resource planning ERP software | |
| Microsoft Great Plains Personal Data Keeper | Time accounting software | |
| National Instruments LabVIEW | Development environment software | |
| Structure query language SQL | Data base user interface and query software | |
| Web browser software | Internet browser software | |
<!-- market-evidence -->
## Market evidence (job-ad analysis, 10 ads, as of 2026-07-10)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Tools
- PLM systems — **40 %**
- Microsoft Excel — **30 %**
<!-- market-evidence -->