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feat: warehouse-operators-for-clothing skill package v0.1.0

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# Data provenance — warehouse-operators-for-clothing
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':'#d97757','pie4':'#8e24aa','pieOuterStrokeWidth':'0px','pieSectionTextColor':'#fff'}}}%%
pie showData
title Content sources — warehouse-operators-for-clothing
"ESCO (occupation & competences)" : 31
"O*NET (tasks & tools)" : 80
"Anthropic official Claude skills" : 5
"External AI skill packs (mapped)" : 159
```
| Source | Items | Share | Files |
|---|---|---|---|
| ESCO (occupation & competences) | 31 | 11.3 % | references/profile.md, references/skills.md |
| O*NET (tasks & tools) | 80 | 29.1 % | references/tasks.md, references/tools.md |
| Job boards (market evidence) | 0 | 0.0 % | 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 | 5 | 1.8 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
| External AI skill packs (mapped) | 159 | 57.8 % | 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).

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---
name: warehouse-operators-for-clothing
description: "Occupational skill for the role 'warehouse operators for clothing' (also: clothing warehouse operators, clothing warehouse operatives, clothing warehouse workers, warehouse person for clothing, clothing warehouse representatives, fashion warehouse operative). Use when the user asks for typical warehouse operators for clothing work such as: Complete order receipts.; Obtain merchandise from bins or shelves.; Read orders to ascertain catalog numbers, sizes, colors, and quantities of merchandise."
---
# Warehouse Operators For Clothing
Warehouse operators for clothing are in charge of storing textile fabrics, accessories and components for clothing production. They ensure that all the components necessary for the production of clothing are ready to use in the production chain by classifying and registering the purchased component, forecasting purchases and distributing them across different departments.
## Core workflow
1. Complete order receipts.
2. Obtain merchandise from bins or shelves.
3. Read orders to ascertain catalog numbers, sizes, colors, and quantities of merchandise.
4. Pack and unpack items to be stocked on shelves in stockrooms, warehouses, or storage yards.
5. Store items in an orderly and accessible manner in warehouses, tool rooms, supply rooms, or other areas.
6. Examine and inspect stock items for wear or defects, reporting any damage to supervisors.
7. Answer customers' questions about merchandise and advise customers on merchandise selection.
8. Receive and count stock items, and record data manually or on computer.
## 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
- ensure efficient utilisation of warehouse space
- identify software for warehouse management
- maintain physical condition of warehouse
- manage inventory
- manage stock rotation
- manage warehouse operations
- operate material handling equipment
- operate warehouse record systems
- pack goods
- perform warehousing operations
- standard sizing systems for clothing
- use a warehouse management system
## Hot technologies
- Microsoft Access
- Microsoft Outlook
- SAP software
- Apple Safari
- Microsoft Edge
- Mozilla Firefox
- Microsoft Office software
- Microsoft Windows
- Microsoft Excel
- Google Docs
---
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/040fcfa5-24be-43eb-afd5-828297175b16), O*NET 30.3 (53-7065.00). See manifest.json for licensing/attribution.*

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{
"name": "warehouse-operators-for-clothing",
"title": "warehouse operators for clothing",
"version": "0.1.0",
"layer": "core",
"language": "en",
"generated": "2026-07-07",
"ids": {
"esco_uri": "http://data.europa.eu/esco/occupation/040fcfa5-24be-43eb-afd5-828297175b16",
"esco_code": "4321.1.5",
"isco_group": "4321",
"onet_soc": "53-7065.00",
"crosswalk_match": "closeMatch"
},
"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": 30,
"dwas": 26,
"skills_essential": 13,
"skills_optional": 17,
"software": 23
},
"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": 2
},
"wshobson/agents": {
"repo": "https://github.com/wshobson/agents",
"commit": "6fd3247",
"license": "MIT (c) Seth Hobson",
"skills": 1
},
"davila7/claude-code-templates": {
"repo": "https://github.com/davila7/claude-code-templates",
"commit": "fa79251",
"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": 12
},
"a5c-ai/babysitter": {
"repo": "https://github.com/a5c-ai/babysitter",
"commit": "44a5d58b",
"license": "MIT",
"skills": 12
},
"microsoft/power-platform-skills": {
"repo": "https://github.com/microsoft/power-platform-skills",
"commit": "0d7ed9a",
"license": "MIT",
"skills": 1
},
"davepoon/buildwithclaude": {
"repo": "https://github.com/davepoon/buildwithclaude",
"commit": "3c94e0c",
"license": "MIT",
"skills": 2
},
"nexscope-ai/eCommerce-Skills": {
"repo": "https://github.com/nexscope-ai/eCommerce-Skills",
"commit": "56f3288",
"license": "MIT",
"skills": 7
},
"mukul975/Anthropic-Cybersecurity-Skills": {
"repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
"commit": "673da1f",
"license": "Apache-2.0",
"skills": 10
},
"Sushegaad/Claude-Skills-Governance-Risk-and-Compliance": {
"repo": "https://github.com/Sushegaad/Claude-Skills-Governance-Risk-and-Compliance",
"commit": "71d8920",
"license": "MIT",
"skills": 1
},
"hypnguyen1209/offensive-claude": {
"repo": "https://github.com/hypnguyen1209/offensive-claude",
"commit": "4d62be7",
"license": "MIT",
"skills": 2
},
"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
},
"basicmachines-co/basic-memory": {
"repo": "https://github.com/basicmachines-co/basic-memory",
"commit": "53da71c",
"license": "custom (see upstream LICENSE)",
"skills": 1
},
"avelikiy/great_cto": {
"repo": "https://github.com/avelikiy/great_cto",
"commit": "4fe1e39",
"license": "MIT",
"skills": 1
},
"secondsky/claude-skills": {
"repo": "https://github.com/secondsky/claude-skills",
"commit": "c4889f6",
"license": "MIT",
"skills": 1
},
"mohitagw15856/pm-claude-skills": {
"repo": "https://github.com/mohitagw15856/pm-claude-skills",
"commit": "876fa30",
"license": "MIT",
"skills": 1
},
"backnotprop/plannotator": {
"repo": "https://github.com/backnotprop/plannotator",
"commit": "29513e1",
"license": "Apache-2.0",
"skills": 2
},
"trailofbits/skills": {
"repo": "https://github.com/trailofbits/skills",
"commit": "cfe5d7b",
"license": "custom (see upstream LICENSE)",
"skills": 1
},
"K-Dense-AI/claude-scientific-skills": {
"repo": "https://github.com/K-Dense-AI/claude-scientific-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 1
},
"K-Dense-AI/scientific-agent-skills": {
"repo": "https://github.com/K-Dense-AI/scientific-agent-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 1
},
"nWave-ai/nWave": {
"repo": "https://github.com/nWave-ai/nWave",
"commit": "1d0f13c",
"license": "MIT",
"skills": 1
},
"alirezarezvani/claude-skills": {
"repo": "https://github.com/alirezarezvani/claude-skills",
"commit": "0241f43",
"license": "MIT",
"skills": 1
},
"affaan-m/everything-claude-code": {
"repo": "https://github.com/affaan-m/everything-claude-code",
"commit": "ed38744",
"license": "MIT",
"skills": 3
},
"rampstackco/claude-skills": {
"repo": "https://github.com/rampstackco/claude-skills",
"commit": "bc6d961",
"license": "MIT",
"skills": 1
},
"honeydew-ai/honeydew-ai-coding-agents-plugins": {
"repo": "https://github.com/honeydew-ai/honeydew-ai-coding-agents-plugins",
"commit": "f4066d2",
"license": "Apache-2.0",
"skills": 1
},
"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
},
"silverstein/minutes": {
"repo": "https://github.com/silverstein/minutes",
"commit": "3fb2e83",
"license": "MIT",
"skills": 1
}
},
"total_skills": 80,
"tiers": {
"core": 53,
"adjacent": 27
}
},
"provenance": {
"items": {
"esco": 31,
"onet": 80,
"jobads": 0,
"wiki_ai": 0,
"anthropic": 5,
"ai_skills": 159,
"stackx": 0
},
"share_percent": {
"esco": 11.3,
"onet": 29.1,
"jobads": 0.0,
"wiki_ai": 0.0,
"anthropic": 1.8,
"ai_skills": 57.8,
"stackx": 0.0
},
"method": "content items per source category"
},
"collar": "white",
"computer_work": true
}

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# External AI agent skills — warehouse-operators-for-clothing
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) |
## 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 |
|---|---|---|---|
| `file-conversion` | adjacent | Convert files between formats — PDF to Word, HEIC to JPG, MP4 to MP3, CSV to JSON, EPUB to MOBI, and 999 total routes across images, video, audio, documents, data, fonts, ebooks, and archives. Free via changethisfile.com, no API key or … | [source](https://github.com/wshobson/agents/tree/main/plugins/file-conversion/skills/file-conversion) |
## 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 |
|---|---|---|---|
| `warehouse-slotting-optimizer` | core | Warehouse slotting and layout optimization skill for pick path minimization and space utilization. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/industrial-engineering/skills/warehouse-slotting-optimizer) |
| `supply-chain-visibility-integrator` | core | End-to-end supply chain visibility integration skill connecting systems and data sources | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/business/supply-chain/skills/supply-chain-visibility-integrator) |
| `contingency-plan-builder` | core | Business continuity and contingency plan development skill for supply chain resilience | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/business/supply-chain/skills/contingency-plan-builder) |
| `cost-to-serve-analyzer` | core | Supply chain cost-to-serve analysis skill by customer, product, or channel | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/business/supply-chain/skills/cost-to-serve-analyzer) |
| `disruption-response-coordinator` | core | Supply chain disruption rapid response skill with impact assessment and mitigation activation | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/business/supply-chain/skills/disruption-response-coordinator) |
| `early-warning-monitor` | core | Continuous supplier and supply chain risk monitoring with automated alerts | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/business/supply-chain/skills/early-warning-monitor) |
| `master-data-quality-manager` | core | Supply chain master data quality monitoring and improvement skill | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/business/supply-chain/skills/master-data-quality-manager) |
| `scor-kpi-dashboard-builder` | core | SCOR-aligned supply chain KPI dashboard design and implementation skill | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/business/supply-chain/skills/scor-kpi-dashboard-builder) |
| `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) |
| `supply-chain-risk-assessor` | core | Comprehensive supply chain risk identification and assessment skill with heat mapping | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/business/supply-chain/skills/supply-chain-risk-assessor) |
| `supply-chain-simulation-engine` | core | Supply chain discrete-event simulation for scenario testing and optimization | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/business/supply-chain/skills/supply-chain-simulation-engine) |
| `supply-chain-visibility-platform` | core | End-to-end supply chain visibility skill providing real-time tracking and control tower capabilities | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/business/logistics/skills/supply-chain-visibility-platform) |
## 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 |
|---|---|---|---|
| `data-throughput-accelerator` | adjacent | Use when large data ingestion, backfill, export, ETL, warehouse loading, manifest catch-up, or table synchronization needs to become much faster while preserving data correctness. | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/data-throughput-accelerator) |
| `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) |
| `autonomous-agent-harness` | adjacent | Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/autonomous-agent-harness) |
## 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 |
|---|---|---|---|
| `chief-data-officer-advisor` | adjacent | Chief Data Officer advisory for startups: AI training data rights and consent provenance, data product strategy (warehouse vs lakehouse vs mesh, build-vs-buy), B2B customer-data-as-asset valuation and M&A readiness, data team org … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/c-level-advisor/chief-data-officer-advisor/skills/chief-data-officer-advisor) |
## Source: avelikiy/great_cto
- Repository: [https://github.com/avelikiy/great_cto](https://github.com/avelikiy/great_cto) (commit `4fe1e39`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `vertical-logistics` | core | Domain knowledge for the logistics & supply-chain vertical (SMB shipping & inventory) so architect and pm don't spec naively. Covers the vocabulary (TMS vs WMS, multi-carrier rate shopping, dimensional weight, BOL/ASN, lot/batch, reorder … | [source](https://github.com/avelikiy/great_cto/tree/4fe1e39/skills/vertical-logistics) |
## Source: backnotprop/plannotator
- Repository: [https://github.com/backnotprop/plannotator](https://github.com/backnotprop/plannotator) (commit `29513e1`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `review-renovate` | core | Review Renovate bot PRs that update GitHub Actions dependencies. Verifies supply chain integrity by checking pinned commit SHAs against upstream tagged releases, reviews changelogs for breaking changes, and confirms compatibility with … | [source](https://github.com/backnotprop/plannotator/tree/29513e1/.agents/skills/review-renovate) |
| `update-deps` | core | Audit and update npm/Bun dependencies with supply chain integrity checks — verifies maintainers, publish age, tarball diffs, and provenance before bumping. Defers risky packages to ~/.supply-chain/notes/. | [source](https://github.com/backnotprop/plannotator/tree/29513e1/.agents/skills/update-deps) |
## 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-tasks` | core | 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: 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 |
|---|---|---|---|
| `googlesheets-automation` | core | Automate Google Sheets operations (read, write, format, filter, manage spreadsheets) via Rube MCP (Composio). Read/write data, manage tabs, apply formatting, and search rows programmatically. | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/googlesheets-automation) |
| `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 |
|---|---|---|---|
| `benchling-integration` | core | Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/benchling-integration) |
| `agent-memory-mcp` | core | 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) |
| `supply-chain-guard` | core | Detect and remediate software supply chain attacks in npm, PyPI, crates.io, GitHub Actions, and CI/CD pipelines by scanning for known compromised packages, malicious versions, filesystem IOCs, C2 indicators, and CI/CD misconfigurations. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/security/supply-chain-guard) |
| `vulnerability-scanner` | core | Advanced vulnerability analysis principles. OWASP 2025, Supply Chain Security, attack surface mapping, risk prioritization. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/security/vulnerability-scanner) |
| `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) |
## Source: honeydew-ai/honeydew-ai-coding-agents-plugins
- Repository: [https://github.com/honeydew-ai/honeydew-ai-coding-agents-plugins](https://github.com/honeydew-ai/honeydew-ai-coding-agents-plugins) (commit `f4066d2`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `entity-creation` | adjacent | Guides you through defining a new Honeydew entity from a data warehouse source — covering source type, granularity key, and initial attribute mapping — then pushes to Honeydew via the MCP tools. | [source](https://github.com/honeydew-ai/honeydew-ai-coding-agents-plugins/tree/f4066d2/skills/entity-creation) |
## 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 |
|---|---|---|---|
| `cicd-supply-chain` | core | Use when attacking or auditing a CI/CD pipeline or software supply chain — pwn requests, poisoned pipeline execution, compromised/mutable-tag actions, dependency confusion, registry worms, runner backdoors, OIDC trust abuse, SLSA/provenance | [source](https://github.com/hypnguyen1209/offensive-claude/tree/4d62be7/skills/cicd-supply-chain) |
| `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 |
|---|---|---|---|
| `snowflake-known-pitfalls` | core | Identify and avoid Snowflake anti-patterns and common mistakes in SQL, warehouse management, data loading, and access control. Use when reviewing Snowflake configurations, onboarding new users, or auditing existing Snowflake deployments … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/snowflake-pack/skills/snowflake-known-pitfalls) |
| `flexport-data-handling` | core | Implement data handling for Flexport supply chain data including PII redaction, shipment data retention, GDPR compliance, and secure document management. Trigger: "flexport data handling", "flexport PII", "flexport GDPR", "flexport data … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/flexport-pack/skills/flexport-data-handling) |
| `presentation-slide-outliner` | core | Manage presentation slide outliner operations. Auto-activating skill for Visual Content. Triggers on: presentation slide outliner, presentation slide outliner Part of the Visual Content skill category. Use when working with presentation … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/skills/18-visual-content/presentation-slide-outliner) |
| `freshie-inventory` | core | Manage the freshie ecosystem inventory database \u2014 a CMDB tracking\ \ all plugins,\nskills, packs, and compliance grades across 50 SQLite tables. Use\ \ when checking\necosystem health, running discovery scans, validating compliance,\ … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/database/freshie-inventory-manager/skills/freshie-inventory) |
| `shopify-core-workflow-a` | core | Manage Shopify products, variants, and collections using the GraphQL Admin API. Use when creating, updating, or querying products, managing inventory, or building product catalog integrations. Trigger with phrases like "shopify products", … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/shopify-pack/skills/shopify-core-workflow-a) |
| `flexport-reference-architecture` | core | Implement Flexport reference architecture for supply chain integrations with best-practice project layout, service boundaries, and data flow. Trigger: "flexport architecture", "flexport project structure", "flexport system design". | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/flexport-pack/skills/flexport-reference-architecture) |
| `flexport-deploy-integration` | core | Deploy Flexport logistics integrations to Vercel, Fly.io, and Cloud Run. Use when deploying shipment tracking dashboards, webhook receivers, or supply chain automation services to production infrastructure. Trigger: "deploy flexport", … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/flexport-pack/skills/flexport-deploy-integration) |
| `flexport-incident-runbook` | core | Execute Flexport incident response for API outages, webhook failures, and supply chain data sync issues with triage and mitigation steps. Trigger: "flexport incident", "flexport outage", "flexport down", "flexport emergency". | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/flexport-pack/skills/flexport-incident-runbook) |
| `flexport-prod-checklist` | core | Execute Flexport production deployment checklist for logistics integrations. Use when deploying shipment tracking, booking automation, or supply chain integrations to production with proper monitoring and rollback. Trigger: "flexport … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/flexport-pack/skills/flexport-prod-checklist) |
| `warden` | core | Security engineer — IAM, secrets, threat modeling, hardening, auth, and supply chain security. | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/ai-agency/tonone/skills/warden) |
| `customerio-webhooks-events` | adjacent | Implement Customer.io webhook and reporting event handling. Use when processing email delivery events, click/open tracking, bounce handling, or streaming to a data warehouse. Trigger: "customer.io webhook", "customer.io events", … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/customerio-pack/skills/customerio-webhooks-events) |
| `snowflake-advanced-troubleshooting` | adjacent | Apply advanced Snowflake debugging with query profiling, spill analysis, lock contention, and performance deep-dives using ACCOUNT_USAGE views. Use when standard troubleshooting fails, investigating slow queries, or diagnosing warehouse … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/snowflake-pack/skills/snowflake-advanced-troubleshooting) |
## Source: K-Dense-AI/claude-scientific-skills
- Repository: [https://github.com/K-Dense-AI/claude-scientific-skills](https://github.com/K-Dense-AI/claude-scientific-skills) (commit `4d97e29`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `benchling-integration` | adjacent | Benchling Python SDK and REST API integration for registry entities, inventory, ELN entries, workflows, Benchling Apps, and Data Warehouse queries. Use when automating lab data with benchling-sdk or the v2 API. | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/benchling-integration) |
## Source: K-Dense-AI/scientific-agent-skills
- Repository: [https://github.com/K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills) (commit `4d97e29`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `benchling-integration` | adjacent | Benchling Python SDK and REST API integration for registry entities, inventory, ELN entries, workflows, Benchling Apps, and Data Warehouse queries. Use when automating lab data with benchling-sdk or the v2 API. | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/benchling-integration) |
## Source: microsoft/power-platform-skills
- Repository: [https://github.com/microsoft/power-platform-skills](https://github.com/microsoft/power-platform-skills) (commit `0d7ed9a`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `manage-flows` | core | Manage flow lifecycle - publish, test, batch operations, inventory reports. Use when the user asks to publish, test, batch manage, or get an inventory of flows. | [source](https://github.com/microsoft/power-platform-skills/tree/0d7ed9a/plugins/power-automate/skills/manage-flows) |
## 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 |
|---|---|---|---|
| `logistics-incident-report` | core | Write up a supply chain disruption — port delay, carrier failure, customs hold, or in-transit damage — as a decision-ready incident report. Use when asked to document a shipment delay, write up a logistics failure, report a customs hold, … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-supplychain/skills/logistics-incident-report) |
## 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-sbom-for-supply-chain-vulnerabilities` | core | Parses Software Bill of Materials (SBOM) in CycloneDX and SPDX JSON formats to identify supply chain vulnerabilities by correlating components against the NVD CVE database via the NVD 2.0 API. Builds dependency graphs, calculates risk … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-sbom-for-supply-chain-vulnerabilities) |
| `analyzing-supply-chain-malware-artifacts` | core | Investigate supply chain attack artifacts including trojanized software updates, compromised build pipelines, and sideloaded dependencies to identify intrusion vectors and scope of compromise. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-supply-chain-malware-artifacts) |
| `implementing-code-signing-for-artifacts` | core | This skill covers implementing code signing for build artifacts to ensure integrity and authenticity throughout the software supply chain. It addresses signing binaries, packages, and containers using GPG, Sigstore, and platform-specific … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/implementing-code-signing-for-artifacts) |
| `hunting-for-supply-chain-compromise` | core | Hunt for supply chain compromise indicators including trojanized software updates, compromised dependencies, unauthorized code modifications, and tampered build artifacts. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/hunting-for-supply-chain-compromise) |
| `implementing-supply-chain-security-with-in-toto` | core | Implement software supply chain integrity verification for container builds using the in-toto framework to create cryptographically signed attestations across CI/CD pipeline steps. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/implementing-supply-chain-security-with-in-toto) |
| `performing-supply-chain-attack-simulation` | core | Simulate and detect software supply chain attacks including typosquatting detection via Levenshtein distance, dependency confusion testing against private registries, package hash verification with pip, and known vulnerability scanning … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/performing-supply-chain-attack-simulation) |
| `verifying-build-provenance-with-slsa-sigstore` | core | Verify signed artifacts and SLSA build provenance with Sigstore cosign and slsa-verifier, enforce keyless OIDC identity, and apply SLSA Build levels to harden the software supply chain. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/verifying-build-provenance-with-slsa-sigstore) |
| `detecting-supply-chain-attacks-in-ci-cd` | core | Scans GitHub Actions workflows and CI/CD pipeline configurations for supply chain attack vectors including unpinned actions, script injection via expressions, dependency confusion, and secrets exposure. Uses PyGithub and YAML parsing for … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-supply-chain-attacks-in-ci-cd) |
| `securing-github-actions-workflows` | core | This skill covers hardening GitHub Actions workflows against supply chain attacks, credential theft, and privilege escalation. It addresses pinning actions to SHA digests, minimizing GITHUB_TOKEN permissions, protecting secrets from … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/securing-github-actions-workflows) |
| `analyzing-memory-dumps-with-volatility` | adjacent | Analyzes RAM memory dumps from compromised systems using the Volatility framework to identify malicious processes, injected code, network connections, loaded modules, and extracted credentials. Supports Windows, Linux, and macOS memory … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-memory-dumps-with-volatility) |
## 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 |
|---|---|---|---|
| `supply-chain-optimization-tiktok` | core | Supply Chain Bottleneck Analyzer for TikTok Shop sellers. Diagnose cash flow, inventory turnover, affiliate commissions, and return rates. Includes FBT cost analysis, influencer payout optimization, and viral product lifecycle management. … | [source](https://github.com/nexscope-ai/eCommerce-Skills/tree/56f3288/supply-chain-optimization/supply-chain-optimization-tiktok) |
| `supply-chain-optimization-amazon-lite` | core | Supply Chain Optimization (Lite) - Diagnose bottlenecks and provide cost reduction strategies through conversation | [source](https://github.com/nexscope-ai/eCommerce-Skills/tree/56f3288/supply-chain-optimization/supply-chain-optimization-amazon) |
| `supply-chain-optimization-shopify` | core | Supply Chain Bottleneck Analyzer for Shopify/DTC stores. Diagnose cash flow, inventory, shipping costs, and customer acquisition efficiency. Includes CAC/LTV analysis, 3PL cost optimization, and ad spend benchmarks. No API key required for … | [source](https://github.com/nexscope-ai/eCommerce-Skills/tree/56f3288/supply-chain-optimization/supply-chain-optimization-shopify) |
| `supply-chain-optimization-walmart` | core | Supply Chain Bottleneck Analyzer for Walmart Marketplace sellers. Diagnose cash flow, inventory, WFS costs, and referral fees. Includes comparison with Amazon FBA, lower storage fee optimization, and Walmart Connect ad spend analysis. No … | [source](https://github.com/nexscope-ai/eCommerce-Skills/tree/56f3288/supply-chain-optimization/supply-chain-optimization-walmart) |
| `warehouse-optimization` | adjacent | E-commerce warehouse and inventory optimization advisor. Analyzes inventory health, calculates safety stock and reorder points, performs ABC analysis, evaluates fulfillment costs, and provides actionable recommendations for improving … | [source](https://github.com/nexscope-ai/eCommerce-Skills/tree/56f3288/warehouse-optimization) |
| `shopify-inventory-management` | adjacent | Multi-location inventory — transfers, low stock alerts, demand forecasting, safety stock, ABC analysis | [source](https://github.com/nexscope-ai/eCommerce-Skills/tree/56f3288/shopify-inventory-management) |
| `tiktok-shop-inventory` | adjacent | Inventory management for TikTok Shop — demand forecasting, viral stock planning, FBT optimization | [source](https://github.com/nexscope-ai/eCommerce-Skills/tree/56f3288/tiktok-shop-inventory) |
## Source: nWave-ai/nWave
- Repository: [https://github.com/nWave-ai/nWave](https://github.com/nWave-ai/nWave) (commit `1d0f13c`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `nw-data-architecture-patterns` | adjacent | Data architecture patterns (warehouse, lake, lakehouse, mesh), ETL/ELT pipelines, streaming architectures, scaling strategies, and schema design patterns | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-data-architecture-patterns) |
## Source: rampstackco/claude-skills
- Repository: [https://github.com/rampstackco/claude-skills](https://github.com/rampstackco/claude-skills) (commit `bc6d961`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `data-warehouse-experimentation` | adjacent | Running experiments out of the data warehouse instead of via dedicated experiment platforms. SQL-based assignment, exposure logging discipline, metric definitions in dbt models, statistical analysis in SQL or Python, variance reduction … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/data-warehouse-experimentation) |
## 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 |
|---|---|---|---|
| `memory-management` | core | 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) |
| `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) |
| `Hooks Automation` | adjacent | Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$post task hooks, session management, Git integration, memory coordination, and neural pattern training … | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/hooks-automation) |
## Source: ruvnet/ruflo
- Repository: [https://github.com/ruvnet/ruflo](https://github.com/ruvnet/ruflo) (commit `73914bd`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory-management` | core | AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, … | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/memory-management) |
| `AgentDB Memory Patterns` | adjacent | Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/agentdb-memory-patterns) |
| `Hooks Automation` | adjacent | Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$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: secondsky/claude-skills
- Repository: [https://github.com/secondsky/claude-skills](https://github.com/secondsky/claude-skills) (commit `c4889f6`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `dependency-upgrade` | core | Secure dependency upgrades with supply chain protection, cooldowns, and staged rollout. Use when upgrading deps, configuring security policies, or preventing supply chain attacks. | [source](https://github.com/secondsky/claude-skills/tree/c4889f6/plugins/dependency-upgrade/skills/dependency-upgrade) |
## Source: silverstein/minutes
- Repository: [https://github.com/silverstein/minutes](https://github.com/silverstein/minutes) (commit `3fb2e83`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `minutes-cleanup` | adjacent | Manage old recordings — find large files, archive old meetings, delete processed originals. Use when the user says "clean up recordings", "how much space are meetings using", "delete old recordings", "archive meetings", "manage meeting … | [source](https://github.com/silverstein/minutes/tree/3fb2e83/.agents/skills/minutes/minutes-cleanup) |
## Source: Sushegaad/Claude-Skills-Governance-Risk-and-Compliance
- Repository: [https://github.com/Sushegaad/Claude-Skills-Governance-Risk-and-Compliance](https://github.com/Sushegaad/Claude-Skills-Governance-Risk-and-Compliance) (commit `71d8920`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `cis-controls` | core | Expert CIS Controls v8 (CIS Top 18) advisor — implementation group scoping (IG1/IG2/IG3), control gap assessments, safeguard-level guidance, asset inventory, software inventory, data protection, secure configuration, account management, … | [source](https://github.com/Sushegaad/Claude-Skills-Governance-Risk-and-Compliance/tree/71d8920/plugins/cis-controls/skills/cis-controls) |
## Source: trailofbits/skills
- Repository: [https://github.com/trailofbits/skills](https://github.com/trailofbits/skills) (commit `cfe5d7b`, retrieved 2026-07-14)
- License: custom (see upstream LICENSE)
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `supply-chain-risk-auditor` | core | Identifies dependencies at heightened risk of exploitation or takeover. Use when assessing supply chain attack surface, evaluating dependency health, or scoping security engagements. | [source](https://github.com/trailofbits/skills/tree/cfe5d7b/plugins/supply-chain-risk-auditor/skills/supply-chain-risk-auditor) |

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# Occupation profile — warehouse operators for clothing
- **ESCO URI:** http://data.europa.eu/esco/occupation/040fcfa5-24be-43eb-afd5-828297175b16
- **ESCO code:** 4321.1.5
- **ISCO-08 group:** 4321 — Stock clerks
- **O*NET-SOC:** 53-7065.00 — Stockers and Order Fillers (match: closeMatch)
## Description (ESCO)
Warehouse operators for clothing are in charge of storing textile fabrics, accessories and components for clothing production. They ensure that all the components necessary for the production of clothing are ready to use in the production chain by classifying and registering the purchased component, forecasting purchases and distributing them across different departments.
## Definition
nan
## Alternative labels
- clothing warehouse operators
- clothing warehouse operatives
- clothing warehouse workers
- warehouse person for clothing
- clothing warehouse representatives
- fashion warehouse operative

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# Competences — warehouse operators for clothing
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/040fcfa5-24be-43eb-afd5-828297175b16).
## Essential
- **analyse supply chain strategies** (skill/competence)
- **ensure efficient utilisation of warehouse space** (skill/competence)
- **identify software for warehouse management** (skill/competence)
- **maintain physical condition of warehouse** (skill/competence)
- **manage inventory** (skill/competence)
- **manage stock rotation** (skill/competence)
- **manage warehouse operations** (skill/competence)
- **operate material handling equipment** (skill/competence)
- **operate warehouse record systems** (skill/competence)
- **pack goods** (skill/competence)
- **perform warehousing operations** (skill/competence)
- **standard sizing systems for clothing** (knowledge)
- **use a warehouse management system** (skill/competence)
## Optional
- apparel manufacturing technology (knowledge)
- clean warehouse (skill/competence)
- determine footwear warehouse layout (skill/competence)
- determine leather goods warehouse layout (skill/competence)
- handle paperwork related to warehouse stock (skill/competence)
- keep inventory of goods in production (skill/competence)
- maintain warehouse database (skill/competence)
- manage briefs for clothing manufacturing (skill/competence)
- manage intellectual property rights (skill/competence)
- manage warehouse inventory (skill/competence)
- manage warehouse organisation (skill/competence)
- operate warehouse materials (skill/competence)
- pick orders for dispatching (skill/competence)
- receive shipment packaging information (skill/competence)
- stack goods (skill/competence)
- store warehouse goods (skill/competence)
- warehouse operations (knowledge)

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# Tasks & work activities — warehouse operators for clothing
Source: O*NET 30.3, occupation 53-7065.00 (Stockers and Order Fillers).
## Task statements
- **[Core]** Complete order receipts.
- **[Core]** Obtain merchandise from bins or shelves.
- **[Core]** Read orders to ascertain catalog numbers, sizes, colors, and quantities of merchandise.
- **[Core]** Pack and unpack items to be stocked on shelves in stockrooms, warehouses, or storage yards.
- **[Core]** Store items in an orderly and accessible manner in warehouses, tool rooms, supply rooms, or other areas.
- **[Core]** Examine and inspect stock items for wear or defects, reporting any damage to supervisors.
- **[Core]** Answer customers' questions about merchandise and advise customers on merchandise selection.
- **[Core]** Receive and count stock items, and record data manually or on computer.
- **[Core]** Stamp, attach, or change price tags on merchandise, referring to price list.
- **[Core]** Stock shelves, racks, cases, bins, and tables with new or transferred merchandise.
- **[Core]** Mark stock items, using identification tags, stamps, electric marking tools, or other labeling equipment.
- **[Core]** Take inventory or examine merchandise to identify items to be reordered or replenished.
- **[Core]** Issue or distribute materials, products, parts, and supplies to customers or coworkers, based on information from incoming requisitions.
- **[Core]** Provide assistance or direction to other stockroom, warehouse, or storage yard workers.
- **[Core]** Clean display cases, shelves, and aisles.
- **[Core]** Design and set up advertising signs and displays of merchandise on shelves, counters, or tables to attract customers and promote sales.
- **[Core]** Pack customer purchases in bags or cartons.
- **[Core]** Dispose of damaged or defective items, or return them to vendors.
- **[Core]** Clean and maintain supplies, tools, equipment, and storage areas to ensure compliance with safety regulations.
- **[Core]** Recommend disposal of excess, defective, or obsolete stock.
- **[Core]** Keep records on the use or damage of stock or stock-handling equipment.
- **[Core]** Keep records of out-going orders.
- **[Core]** Determine proper storage methods, identification, and stock location, based on turnover, environmental factors, and physical capabilities of facilities.
- **[Core]** Operate equipment such as forklifts.
- **[Core]** Receive, unload, open, unpack, or issue sales floor merchandise.
- **[Supplemental]** Compare merchandise invoices to items actually received to ensure that shipments are correct.
- **[Supplemental]** Itemize and total customer merchandise selection at checkout counter, using cash register, and accept cash or charge card for purchases.
- **[Supplemental]** Transport packages to customers' vehicles.
- **[Supplemental]** Compute prices of items or groups of items.
- **[Supplemental]** Requisition merchandise from supplier, based on available space, merchandise on hand, customer demand, or advertised specials.
## Detailed work activities
- Advise others on business or operational matters.
- Attach identification information to products, items or containers.
- Calculate costs of goods or services.
- Clean facilities or equipment.
- Collect deposits, payments or fees.
- Deliver items.
- Discuss goods or services information with customers or patrons.
- Distribute materials to employees or customers.
- Inspect items for damage or defects.
- Inspect shipments to ensure correct order fulfillment.
- Maintain operational records.
- Monitor inventories of products or materials.
- Operate forklifts or other loaders.
- Order materials, supplies, or equipment.
- Package objects for shipping.
- Prepare documentation for contracts, transactions, or regulatory compliance.
- Read work orders to determine material or setup requirements.
- Receive shipments.
- Record shipping information.
- Remove debris or damaged materials.
- Send information, materials or documentation.
- Set up merchandise displays.
- Stock supplies or merchandise.
- Store items.
- Store records or related materials.
- Unload materials or equipment.

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# Tools & technology — warehouse operators for clothing
Source: O*NET 30.3 'Software Skills' for 53-7065.00.
| Software | Category | Hot technology |
|---|---|---|
| Microsoft Access | Data base user interface and query software | yes |
| Microsoft Outlook | Electronic mail software | yes |
| SAP software | Enterprise resource planning ERP software | yes |
| Apple Safari | Internet browser software | yes |
| Microsoft Edge | Internet browser software | yes |
| Mozilla Firefox | Internet browser software | yes |
| Microsoft Office software | Office suite software | yes |
| Microsoft Windows | Operating system software | yes |
| Microsoft Excel | Spreadsheet software | yes |
| Google Docs | Word processing software | yes |
| Microsoft Word | Word processing software | yes |
| Work scheduling software | Calendar and scheduling software | |
| Data entry software | Data base user interface and query software | |
| Eko | Desktop communications software | |
| Email software | Electronic mail software | |
| Microsoft Dynamics GP | Enterprise resource planning ERP software | |
| Oracle JD Edwards EnterpriseOne | Enterprise resource planning ERP software | |
| Inventory management systems | Inventory management software | |
| Inventory tracking software | Inventory management software | |
| Ordering software | Inventory management software | |
| Warehouse management system WMS | Materials requirements planning logistics and supply chain software | |
| Handheld computer device software | Operating system software | |
| Voice picking software | Voice synthesizer and recognition software | |