From f05846c57d944f3f23ef52f3a9bf001cd08a89a3 Mon Sep 17 00:00:00 2001 From: skillfactor-pipeline Date: Fri, 14 Aug 2026 19:12:49 +0200 Subject: [PATCH] feat: lottery-operator skill package v0.1.0 --- PROVENANCE.md | 31 ++++ SKILL.md | 46 ++++++ manifest.json | 262 +++++++++++++++++++++++++++++ references/ai-skills.md | 354 ++++++++++++++++++++++++++++++++++++++++ references/market.md | 63 +++++++ references/profile.md | 18 ++ references/skills.md | 98 +++++++++++ references/tasks.md | 39 +++++ references/tools.md | 28 ++++ 9 files changed, 939 insertions(+) create mode 100644 PROVENANCE.md create mode 100644 SKILL.md create mode 100644 manifest.json create mode 100644 references/ai-skills.md create mode 100644 references/market.md create mode 100644 references/profile.md create mode 100644 references/skills.md create mode 100644 references/tasks.md create mode 100644 references/tools.md diff --git a/PROVENANCE.md b/PROVENANCE.md new file mode 100644 index 0000000..e52d08b --- /dev/null +++ b/PROVENANCE.md @@ -0,0 +1,31 @@ +# Data provenance — lottery-operator + +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 — lottery-operator + "ESCO (occupation & competences)" : 21 + "O*NET (tasks & tools)" : 38 + "Job boards (market evidence)" : 71 + "Anthropic official Claude skills" : 5 + "External AI skill packs (mapped)" : 171 +``` + +| Source | Items | Share | Files | +|---|---|---|---| +| ESCO (occupation & competences) | 21 | 6.9 % | references/profile.md, references/skills.md | +| O*NET (tasks & tools) | 38 | 12.4 % | references/tasks.md, references/tools.md | +| Job boards (market evidence) | 71 | 23.2 % | 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 | 1.6 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) | +| External AI skill packs (mapped) | 171 | 55.9 % | 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). diff --git a/SKILL.md b/SKILL.md new file mode 100644 index 0000000..56a204e --- /dev/null +++ b/SKILL.md @@ -0,0 +1,46 @@ +--- +name: lottery-operator +description: "Occupational skill for the role 'lottery operator' (also: lottery worker). Use when the user asks for typical lottery operator work such as: Compute and verify amounts won or lost, paying out winnings or referring patrons to workers, such as gaming cashiers, so that winnings can be collected.; Collect bets in the form of cash or chips, verifying and recording amounts.; Collect cards or tickets from players." +--- + +# Lottery Operator + +Lottery operators run the day-to-day functions of lotteries. They verify and enter data into the system, prepare reports and assist the forwarding of company equipment. They operate the communication tools used. + +## Core workflow + +1. Compute and verify amounts won or lost, paying out winnings or referring patrons to workers, such as gaming cashiers, so that winnings can be collected. +2. Collect bets in the form of cash or chips, verifying and recording amounts. +3. Collect cards or tickets from players. +4. Answer questions about game rules or casino policies. + +## 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) + +- communicate with customers +- data protection +- follow ethical code of conduct of gambling +- games rules +- legal standards in gambling +- lottery company policies +- maintain lottery equipment +- responsible gambling +- solve problems in gambling through digital means + +## Hot technologies + +- Microsoft Office software +- Microsoft Windows +- Microsoft PowerPoint +- Microsoft Excel +- Microsoft Word + +--- +*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/d18a8976-a283-42ad-9541-75c49396dbd7), O*NET 30.3 (39-3012.00). See manifest.json for licensing/attribution.* diff --git a/manifest.json b/manifest.json new file mode 100644 index 0000000..5f729f2 --- /dev/null +++ b/manifest.json @@ -0,0 +1,262 @@ +{ + "name": "lottery-operator", + "title": "lottery operator", + "version": "0.1.0", + "layer": "core", + "language": "en", + "generated": "2026-07-07", + "ids": { + "esco_uri": "http://data.europa.eu/esco/occupation/d18a8976-a283-42ad-9541-75c49396dbd7", + "esco_code": "4212.6", + "isco_group": "4212", + "onet_soc": "39-3012.00", + "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": 18, + "dwas": 12, + "skills_essential": 9, + "skills_optional": 11, + "software": 7 + }, + "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 + }, + "mukul975/Anthropic-Cybersecurity-Skills": { + "repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills", + "commit": "673da1f", + "license": "Apache-2.0", + "skills": 9 + }, + "samber/cc-skills-golang": { + "repo": "https://github.com/samber/cc-skills-golang", + "commit": "4881c01", + "license": "MIT", + "skills": 1 + }, + "jeremylongshore/claude-code-plugins-plus-skills": { + "repo": "https://github.com/jeremylongshore/claude-code-plugins-plus-skills", + "commit": "e112938a", + "license": "MIT", + "skills": 8 + }, + "davila7/claude-code-templates": { + "repo": "https://github.com/davila7/claude-code-templates", + "commit": "fa79251", + "license": "MIT", + "skills": 6 + }, + "K-Dense-AI/claude-scientific-skills": { + "repo": "https://github.com/K-Dense-AI/claude-scientific-skills", + "commit": "4d97e29", + "license": "MIT", + "skills": 3 + }, + "foryourhealth111-pixel/Vibe-Skills": { + "repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills", + "commit": "34429a8", + "license": "Apache-2.0", + "skills": 5 + }, + "K-Dense-AI/scientific-agent-skills": { + "repo": "https://github.com/K-Dense-AI/scientific-agent-skills", + "commit": "4d97e29", + "license": "MIT", + "skills": 3 + }, + "eduardo-sl/go-agent-skills": { + "repo": "https://github.com/eduardo-sl/go-agent-skills", + "commit": "3c45d7f", + "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 + }, + "ljagiello/ctf-skills": { + "repo": "https://github.com/ljagiello/ctf-skills", + "commit": "d19f35f", + "license": "MIT", + "skills": 2 + }, + "zebbern/claude-code-guide": { + "repo": "https://github.com/zebbern/claude-code-guide", + "commit": "d2c5280", + "license": "MIT", + "skills": 1 + }, + "open-gitagent/opengap": { + "repo": "https://github.com/open-gitagent/opengap", + "commit": "d7a8e2e", + "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": 3 + }, + "brycewang-stanford/Auto-Empirical-Research-Skills": { + "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills", + "commit": "85bf545", + "license": "CC-BY-4.0", + "skills": 2 + }, + "alinaqi/claude-bootstrap": { + "repo": "https://github.com/alinaqi/claude-bootstrap", + "commit": "f61ec87", + "license": "MIT", + "skills": 1 + }, + "ahacker-1/cre-agent-skills": { + "repo": "https://github.com/ahacker-1/cre-agent-skills", + "commit": "618734e", + "license": "Apache-2.0", + "skills": 2 + }, + "a5c-ai/babysitter": { + "repo": "https://github.com/a5c-ai/babysitter", + "commit": "44a5d58b", + "license": "MIT", + "skills": 3 + }, + "dotnet/skills": { + "repo": "https://github.com/dotnet/skills", + "commit": "79a2ada", + "license": "MIT", + "skills": 1 + }, + "basicmachines-co/basic-memory": { + "repo": "https://github.com/basicmachines-co/basic-memory", + "commit": "53da71c", + "license": "custom (see upstream LICENSE)", + "skills": 2 + }, + "ComPDFKit/compdf-skills": { + "repo": "https://github.com/ComPDFKit/compdf-skills", + "commit": "b77153e", + "license": "no explicit license \u2014 referenced by link only", + "skills": 1 + }, + "HeshamFS/materials-simulation-skills": { + "repo": "https://github.com/HeshamFS/materials-simulation-skills", + "commit": "fa1ce8d", + "license": "Apache-2.0", + "skills": 1 + }, + "googleworkspace/cli": { + "repo": "https://github.com/googleworkspace/cli", + "commit": "a3768d0", + "license": "Apache-2.0", + "skills": 1 + }, + "hypnguyen1209/offensive-claude": { + "repo": "https://github.com/hypnguyen1209/offensive-claude", + "commit": "4d62be7", + "license": "MIT", + "skills": 1 + }, + "pedrohcgs/claude-code-my-workflow": { + "repo": "https://github.com/pedrohcgs/claude-code-my-workflow", + "commit": "be53c12", + "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": 1 + }, + "sanjay3290/ai-skills": { + "repo": "https://github.com/sanjay3290/ai-skills", + "commit": "3619692", + "license": "Apache-2.0", + "skills": 1 + }, + "davepoon/buildwithclaude": { + "repo": "https://github.com/davepoon/buildwithclaude", + "commit": "3c94e0c", + "license": "MIT", + "skills": 1 + }, + "snyk/agent-scan": { + "repo": "https://github.com/snyk/agent-scan", + "commit": "f3a4621", + "license": "Apache-2.0", + "skills": 1 + }, + "ThinkInAIXYZ/deepchat": { + "repo": "https://github.com/ThinkInAIXYZ/deepchat", + "commit": "f275c92", + "license": "Apache-2.0", + "skills": 1 + } + }, + "total_skills": 80, + "tiers": { + "core": 77, + "adjacent": 3 + } + }, + "provenance": { + "items": { + "esco": 21, + "onet": 38, + "jobads": 71, + "wiki_ai": 0, + "anthropic": 5, + "ai_skills": 171, + "stackx": 0 + }, + "share_percent": { + "esco": 6.9, + "onet": 12.4, + "jobads": 23.2, + "wiki_ai": 0.0, + "anthropic": 1.6, + "ai_skills": 55.9, + "stackx": 0.0 + }, + "method": "content items per source category" + }, + "collar": "white", + "computer_work": true +} \ No newline at end of file diff --git a/references/ai-skills.md b/references/ai-skills.md new file mode 100644 index 0000000..d2a8161 --- /dev/null +++ b/references/ai-skills.md @@ -0,0 +1,354 @@ +# External AI agent skills — lottery-operator + +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 | +|---|---|---|---| +| `gpu-memory-analysis` | core | 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) | +| `memory-leak-detector` | core | Detect memory leaks in desktop applications through heap analysis and object tracking | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/desktop-development/skills/memory-leak-detector) | +| `nvenc-nvdec` | core | NVIDIA hardware video encoding/decoding integration. Configure NVENC encoding parameters, set up NVDEC decoding pipelines, handle codec configurations, integrate with CUDA for pre/post processing, and manage video memory surfaces. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/gpu-programming/skills/nvenc-nvdec) | + +## 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) | + +## 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` | core | 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` | core | 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: alinaqi/claude-bootstrap + +- Repository: [https://github.com/alinaqi/claude-bootstrap](https://github.com/alinaqi/claude-bootstrap) (commit `f61ec87`, retrieved 2026-07-14) +- License: MIT + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `code-graph` | core | AST-based code graph for fast symbol lookup, dependency analysis, and blast radius via codebase-memory-mcp MCP server | [source](https://github.com/alinaqi/claude-bootstrap/tree/f61ec87/skills/code-graph) | + +## 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-literary-analysis` | core | Analyze a complete literary work into a structured Basic Memory knowledge graph. Covers schema design, entity seeding, chapter-by-chapter processing, cross-referencing, validation, and visualization. | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-literary-analysis) | +| `memory-notes` | core | How to write well-structured Basic Memory notes: frontmatter, observations with semantic categories, relations with wiki-links, and best practices for building a rich knowledge graph. Use when creating or improving notes. | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-notes) | + +## 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 | +|---|---|---|---| +| `markitdown` | core | Convert various file formats (PDF, Office documents, images, audio, web content, structured data) to Markdown optimized for LLM processing. Use when converting documents to markdown, extracting text from PDFs/Office files, transcribing … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/67-econfin-workflow-toolkit/markitdown) | +| `tensorflow-guide` | core | TensorFlow best practices for tf.function, GPU memory, and deployment | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/ai-ml/tensorflow-guide) | + +## Source: ComPDFKit/compdf-skills + +- Repository: [https://github.com/ComPDFKit/compdf-skills](https://github.com/ComPDFKit/compdf-skills) (commit `b77153e`, retrieved 2026-07-14) +- License: no explicit license — referenced by link only + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `pdf-to-word-docx` | core | PDF to Word converts PDF to editable Word/DOCX with AI-powered layout analysis and table recognition, built on ComPDF Conversion SDK to better preserve tables, multi-column layouts, lists, and images for downstream editing. It fits … | [source](https://github.com/ComPDFKit/compdf-skills/tree/b77153e/skills/pdf-to-word-docx) | + +## 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 | +|---|---|---|---| +| `docx` | core | Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new … | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/docx) | + +## 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 | +|---|---|---|---| +| `gcc` | core | Git Context Controller (GCC) - Manages agent memory as a versioned file system under .GCC/. This skill should be used when working on multi-step projects that benefit from structured memory persistence, milestone tracking, branching for … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/git/git-context-controller) | +| `get-available-resources` | core | This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/get-available-resources) | +| `code-review-excellence` | core | Transform code reviews from gatekeeping to knowledge sharing through constructive feedback, systematic analysis, and collaborative improvement. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/productivity/code-review-excellence) | +| `Excel Analysis` | core | 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) | +| `dask` | core | Parallel/distributed computing. Scale pandas/NumPy beyond memory, parallel DataFrames/Arrays, multi-file processing, task graphs, for larger-than-RAM datasets and parallel workflows. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/dask) | +| `vaex` | core | Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/vaex) | + +## Source: dotnet/skills + +- Repository: [https://github.com/dotnet/skills](https://github.com/dotnet/skills) (commit `79a2ada`, retrieved 2026-07-14) +- License: MIT + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `mcp-csharp-test` | core | Test C# MCP servers at multiple levels: unit tests for individual tools and integration tests using the MCP client SDK. USE FOR: unit testing MCP tool methods, integration testing with in-memory MCP client/server, end-to-end testing via … | [source](https://github.com/dotnet/skills/tree/79a2ada/plugins/dotnet-ai/skills/mcp-csharp-test) | + +## Source: eduardo-sl/go-agent-skills + +- Repository: [https://github.com/eduardo-sl/go-agent-skills](https://github.com/eduardo-sl/go-agent-skills) (commit `3c45d7f`, retrieved 2026-07-14) +- License: MIT + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `go-troubleshooting` | core | Diagnose runtime problems in Go programs: panics and stack traces, deadlocks, goroutine leaks, memory leaks, OOM kills, race reports, and debugging with delve and pprof. Use when: "debug this panic", "read this stack trace", "deadlock", … | [source](https://github.com/eduardo-sl/go-agent-skills/tree/3c45d7f/skills/(safety)/go-troubleshooting) | + +## Source: foryourhealth111-pixel/Vibe-Skills + +- Repository: [https://github.com/foryourhealth111-pixel/Vibe-Skills](https://github.com/foryourhealth111-pixel/Vibe-Skills) (commit `34429a8`, retrieved 2026-07-14) +- License: Apache-2.0 + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `get-available-resources` | core | This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/get-available-resources) | +| `dask` | core | Parallel/distributed computing. Scale pandas/NumPy beyond memory, parallel DataFrames/Arrays, multi-file processing, task graphs, for larger-than-RAM datasets and parallel workflows. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/dask) | +| `vaex` | core | Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/vaex) | +| `xlsx` | core | Spreadsheet toolkit (.xlsx/.csv). Create/edit with formulas/formatting, analyze data, visualization, recalculate formulas, for spreadsheet processing and analysis. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/xlsx) | +| `docx` | core | Document toolkit (.docx). Create/edit documents, tracked changes, comments, formatting preservation, text extraction, for professional document processing. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/document-skills/docx) | + +## Source: googleworkspace/cli + +- Repository: [https://github.com/googleworkspace/cli](https://github.com/googleworkspace/cli) (commit `a3768d0`, retrieved 2026-07-14) +- License: Apache-2.0 + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `recipe-backup-sheet-as-csv` | core | Export a Google Sheets spreadsheet as a CSV file for local backup or processing. | [source](https://github.com/googleworkspace/cli/tree/a3768d0/skills/recipe-backup-sheet-as-csv) | + +## Source: HeshamFS/materials-simulation-skills + +- Repository: [https://github.com/HeshamFS/materials-simulation-skills](https://github.com/HeshamFS/materials-simulation-skills) (commit `fa1ce8d`, retrieved 2026-07-14) +- License: Apache-2.0 + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `post-processing` | core | Extract, analyze, and summarize simulation output data — pull spatial fields at specific timesteps, compute time-series trends and detect steady state, extract line profiles through the domain, generate statistical summaries and … | [source](https://github.com/HeshamFS/materials-simulation-skills/tree/fa1ce8d/skills/simulation-workflow/post-processing) | + +## 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 | +|---|---|---|---| +| `clickhouse-common-errors` | core | Diagnose and fix the top 15 ClickHouse errors \u2014 query failures,\ \ insert problems,\nmemory limits, and merge issues.\nUse when encountering ClickHouse\ \ exceptions, debugging failed queries,\nor troubleshooting server-side … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/clickhouse-pack/skills/clickhouse-common-errors) | +| `detecting-memory-leaks` | core | Detect potential memory leaks and analyze memory usage patterns in code. Use when troubleshooting performance issues related to memory growth or identifying leak sources. Trigger with phrases like "detect memory leaks", "analyze memory … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/performance/memory-leak-detector/skills/detecting-memory-leaks) | +| `stackblitz-rate-limits` | core | WebContainer resource limits: memory, CPU, file system size, process count. Use when working with WebContainers or StackBlitz SDK. Trigger: "webcontainer limits". | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/stackblitz-pack/skills/stackblitz-rate-limits) | +| `replit-advanced-troubleshooting` | core | Debug hard Replit issues: container lifecycle, Nix build failures, deployment crashes, and memory leaks. Use when standard troubleshooting fails, investigating intermittent failures, or diagnosing complex Replit platform behavior. Trigger … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/replit-pack/skills/replit-advanced-troubleshooting) | +| `excel-lbo-modeler` | core | 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` | core | 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) | +| `granola-core-workflow-b` | core | Post-meeting note processing, sharing, and follow-up workflows in Granola. Use when enhancing notes after meetings, sharing to Slack/Notion/CRM, drafting follow-up emails, or processing action items. Trigger: "granola post-meeting", "share … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/granola-pack/skills/granola-core-workflow-b) | +| `assemblyai-core-workflow-a` | core | Execute AssemblyAI primary workflow: async transcription with audio intelligence. Use when transcribing audio/video files, enabling speaker diarization, sentiment analysis, entity detection, PII redaction, or content moderation. Trigger … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/assemblyai-pack/skills/assemblyai-core-workflow-a) | + +## 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 | +|---|---|---|---| +| `get-available-resources` | core | This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/get-available-resources) | +| `dask` | core | Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/dask) | +| `vaex` | core | Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/vaex) | + +## 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 | +|---|---|---|---| +| `get-available-resources` | core | This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/get-available-resources) | +| `dask` | core | Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/dask) | +| `vaex` | core | Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/vaex) | + +## Source: ljagiello/ctf-skills + +- Repository: [https://github.com/ljagiello/ctf-skills](https://github.com/ljagiello/ctf-skills) (commit `d19f35f`, retrieved 2026-07-14) +- License: MIT + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `ctf-forensics` | core | Provides digital forensics and signal analysis techniques for CTF challenges. Use when analyzing disk images, memory dumps, event logs, network captures, cryptocurrency transactions, steganography, PDF analysis, Windows registry, … | [source](https://github.com/ljagiello/ctf-skills/tree/d19f35f/ctf-forensics) | +| `ctf-pwn` | core | Provides binary exploitation techniques for CTF challenges. Use when you already have a vulnerable native target or service and need to turn memory corruption or low-level primitives into code execution or privilege escalation, such as … | [source](https://github.com/ljagiello/ctf-skills/tree/d19f35f/ctf-pwn) | + +## 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 | +|---|---|---|---| +| `kyc-escalation` | core | Write an internal KYC/AML escalation memo: a factual time-stamped trigger description, customer-profile vs activity mismatch analysis, red-flag taxonomy mapping, outstanding information, and a recommendation with rationale. Use when asked … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-banking/skills/kyc-escalation) | +| `roadmap-presentation` | core | Create structured roadmap presentations calibrated to any audience. Use when asked to build a product roadmap, present roadmap to leadership, create a roadmap slide, or communicate quarterly plans to execs, teams, or customers. Produces an … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-planning/skills/roadmap-presentation) | +| `meeting-notes` | core | Structure and format meeting notes following PM best practices. Use when asked to create meeting notes, format discussion notes, capture action items, or document decisions from any meeting type. Produces structured notes with decisions, … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-essentials/skills/meeting-notes) | + +## 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-linux-kernel-rootkits` | core | 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) | +| `analyzing-memory-forensics-with-lime-and-volatility` | core | 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) | +| `performing-endpoint-forensics-investigation` | core | Performs digital forensics investigation on compromised endpoints including memory acquisition, disk imaging, artifact analysis, and timeline reconstruction. Use when investigating security incidents, collecting evidence for legal … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/performing-endpoint-forensics-investigation) | +| `conducting-memory-forensics-with-volatility` | core | 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` | core | 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) | +| `implementing-memory-protection-with-dep-aslr` | core | Implements memory protection mechanisms including DEP (Data Execution Prevention), ASLR (Address Space Layout Randomization), CFG (Control Flow Guard), and other exploit mitigations to prevent memory corruption attacks. Use when hardening … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/implementing-memory-protection-with-dep-aslr) | +| `performing-plc-firmware-security-analysis` | core | This skill covers analyzing Programmable Logic Controller (PLC) firmware for security vulnerabilities including hardcoded credentials, insecure update mechanisms, backdoor functions, memory corruption flaws, and undocumented debug … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/performing-plc-firmware-security-analysis) | +| `extracting-config-from-agent-tesla-rat` | core | Extract embedded configuration from Agent Tesla RAT samples including SMTP/FTP/Telegram exfiltration credentials, keylogger settings, and C2 endpoints using .NET decompilation and memory analysis. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/extracting-config-from-agent-tesla-rat) | + +## Source: open-gitagent/opengap + +- Repository: [https://github.com/open-gitagent/opengap](https://github.com/open-gitagent/opengap) (commit `d7a8e2e`, retrieved 2026-07-14) +- License: MIT + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `document-review` | core | Reviews financial documents (prospectuses, ADVs, marketing materials) for FINRA 2210 compliance, required disclosures, and balanced presentation. Use when reviewing financial statements, audit documents, regulatory filings, or when the … | [source](https://github.com/open-gitagent/opengap/tree/d7a8e2e/examples/full/skills/document-review) | + +## 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 | +|---|---|---|---| +| `dynamic-large-file-parquet-analysis` | core | 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` | core | 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-conditional-comparison-and-large-file-processing` | core | 对比Excel多表中的特定系数并对异常值进行颜色标记。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-cell-coloring/duplicate-value-coloring) | +| `excel-large-file-processing-and-cleaning` | core | 读取多 sheet Excel 文件，动态识别目标列进行统计，并使用正则清洗文本字段提取中文字符，最终输出标准化 Excel 文件。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-reading/structured-header-reading) | +| `large-file-parquet-analysis-and-highlight` | core | 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) | +| `multi-file-excel-parquet-analysis` | core | 读取多 Sheet Excel 文件并统计规模，支持大文件向 Parquet 格式转换、分类数据统计及可视化报告生成。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-reading/multi-file-reading) | +| `range-reading-and-large-file-analysis` | core | 读取多 Sheet Excel 文件，根据数据量动态选择处理策略，支持特定区域数据提取、大文件 Parquet 转换、统计分析及可视化图表生成。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-reading/range-reading) | +| `sn-da-large-file-analysis` | core | 万行以上 Excel 数据集的高性能分析引擎。提供 openpyxl read_only 流式读取（iter_rows 支持 10 万行以上）、Parquet 转换加速、内存优化、分块处理和大文件写入模式。**遇到以下任一情况就主动使用本 skill**：①数据行数 ≥ 10k（由 sn-da-excel-workflow 的行数评估步骤触发）；②用户出现触发词：大文件 / 大数据量 / 性能优化 / 内存不足 / OOM / 百万行 / 十万行 / 流式读取 / … | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-large-file-analysis) | +| `text-normalization-and-large-file-processing` | core | 对Excel文件进行文本标准化清洗（如去除异常前缀、提取纯中文字符等），并，最终输出清洗后的Excel文件并提供下载链接。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-cleaning/text-normalization) | +| `category-filtering-and-difficulty-analysis` | core | 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) | +| `excel-data-analysis-and-report-generation` | core | 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` | core | 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) | + +## Source: pedrohcgs/claude-code-my-workflow + +- Repository: [https://github.com/pedrohcgs/claude-code-my-workflow](https://github.com/pedrohcgs/claude-code-my-workflow) (commit `be53c12`, retrieved 2026-07-14) +- License: MIT + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `coauthor-brief` | core | Generate a co-author / collaborator handoff brief for a multi-author, multi-machine project — summarizing what changed since the last brief (git delta), the current state of each artifact (manuscript, analysis, slides), open questions, how … | [source](https://github.com/pedrohcgs/claude-code-my-workflow/tree/be53c12/.claude/skills/coauthor-brief) | + +## 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` | core | 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: snyk/agent-scan + +- Repository: [https://github.com/snyk/agent-scan](https://github.com/snyk/agent-scan) (commit `f3a4621`, retrieved 2026-07-14) +- License: Apache-2.0 + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `docx` | core | Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new … | [source](https://github.com/snyk/agent-scan/tree/f3a4621/tests/skills/docx) | + +## 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 | +|---|---|---|---| +| `docx` | core | Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new … | [source](https://github.com/ThinkInAIXYZ/deepchat/tree/f275c92/resources/skills/docx) | + +## 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` | core | 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 | +|---|---|---|---| +| `regression-modeler` | core | 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) | diff --git a/references/market.md b/references/market.md new file mode 100644 index 0000000..67efe81 --- /dev/null +++ b/references/market.md @@ -0,0 +1,63 @@ +# Market evidence report — lottery-operator + +Source: **6 real job ads** (JSearch API, countries: us 6), extracted into the MSSQL evidence store; as of 2026-07-15. +This report contains extracted, aggregated facts only — no ad text is +reproduced (copyright / platform terms). + +## Seniority distribution + +| Seniority | Ads | Share | +|---|---|---| +| n/a | 4 | 67 % | +| junior | 1 | 17 % | +| mid | 1 | 17 % | + +## Tools — full market ranking + +| # | Item | Ads | Share | +|---|---|---|---| + +## Hard skills — full market ranking + +| # | Item | Ads | Share | +|---|---|---|---| + +## Methods — full market ranking + +| # | Item | Ads | Share | +|---|---|---|---| + +## Responsibilities — full market ranking + +| # | Item | Ads | Share | +|---|---|---|---| + +## Regional breakdown + +> **Corpus note:** 6 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** — 6 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 | +|---|---| +| Lottery Attendant | 1 | +| Lottery Data Center Operator at IGT Richmond, VA | 1 | +| Lottery Drawing Officer (Administrative Officer 1) | 1 | +| Lottery Security/Operations Specialist I | 1 | +| Lottery Security/Operations Specialist I Lottery Security/Operations Specialist I - CS | 1 | +| Video Lottery Attendant | 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. diff --git a/references/profile.md b/references/profile.md new file mode 100644 index 0000000..6ac7cc6 --- /dev/null +++ b/references/profile.md @@ -0,0 +1,18 @@ +# Occupation profile — lottery operator + +- **ESCO URI:** http://data.europa.eu/esco/occupation/d18a8976-a283-42ad-9541-75c49396dbd7 +- **ESCO code:** 4212.6 +- **ISCO-08 group:** 4212 — Bookmakers, croupiers and related gaming workers +- **O*NET-SOC:** 39-3012.00 — Gambling and Sports Book Writers and Runners (match: closeMatch) + +## Description (ESCO) + +Lottery operators run the day-to-day functions of lotteries. They verify and enter data into the system, prepare reports and assist the forwarding of company equipment. They operate the communication tools used. + +## Definition + +nan + +## Alternative labels + +- lottery worker diff --git a/references/skills.md b/references/skills.md new file mode 100644 index 0000000..c5720fe --- /dev/null +++ b/references/skills.md @@ -0,0 +1,98 @@ +# Competences — lottery operator + +Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/d18a8976-a283-42ad-9541-75c49396dbd7). + +## Essential + +- **communicate with customers** (skill/competence) +- **data protection** (knowledge) +- **follow ethical code of conduct of gambling** (skill/competence) +- **games rules** (knowledge) +- **legal standards in gambling** (knowledge) +- **lottery company policies** (knowledge) +- **maintain lottery equipment** (skill/competence) +- **responsible gambling** (knowledge) +- **solve problems in gambling through digital means** (skill/competence) + +## Optional + +- analyse gambling data (skill/competence) +- announce bingo numbers (skill/competence) +- create gambling games concepts (skill/competence) +- gambling games (knowledge) +- identify indicators of problem gambling (skill/competence) +- lottery equipment (knowledge) +- maintain equipment (skill/competence) +- manage lottery operations (skill/competence) +- present reports (skill/competence) +- quality standards (knowledge) +- supervise betting shop staff (skill/competence) + + + +## Market evidence (job-ad analysis, 6 ads, as of 2026-07-15) + +Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs. + +### Hard skills + +- computer security — **33 %** +- data analysis — **33 %** +- data network diagnosis — **33 %** +- hardware troubleshooting — **33 %** +- financial data interpretation — **33 %** +- software troubleshooting — **33 %** +- system balancing — **17 %** +- system monitoring — **17 %** +- file system maintenance — **17 %** +- troubleshooting — **17 %** +- witness coordination — **17 %** +- drawing operations — **17 %** +- record keeping — **17 %** +- regulatory compliance — **17 %** +- network troubleshooting — **17 %** +- office management — **17 %** +- data processing — **17 %** +- cash handling — **17 %** +- customer service — **17 %** + +### Methods + +- internal control system (ICS) — **33 %** +- unit acceptance testing (UAT) — **33 %** +- service level agreements (SLAs) — **17 %** +- IT best practices — **17 %** + +### Responsibilities + +- data transmission — **33 %** +- report preparation — **33 %** +- drawing oversight — **33 %** +- security checks — **33 %** +- sales tracking — **33 %** +- system operation — **33 %** +- system troubleshooting — **17 %** +- scheduling witnesses — **17 %** +- monitoring machines — **17 %** +- security monitoring — **17 %** +- verifying age — **17 %** +- equipment monitoring — **17 %** +- greeting customers — **17 %** +- resolving issues — **17 %** +- restocking supplies — **17 %** +- operating equipment — **17 %** +- operator training — **17 %** +- player information line activity monitoring — **17 %** +- problem solving — **17 %** +- procedure maintenance — **17 %** +- process execution — **17 %** +- processing payouts — **17 %** +- providing broadcast support — **17 %** +- documenting activities — **17 %** +- conducting drawings — **17 %** +- customer request coordination — **17 %** +- jackpot amount monitoring — **17 %** +- lottery attendance — **17 %** +- maintaining cleanliness — **17 %** + + diff --git a/references/tasks.md b/references/tasks.md new file mode 100644 index 0000000..fcdd814 --- /dev/null +++ b/references/tasks.md @@ -0,0 +1,39 @@ +# Tasks & work activities — lottery operator + +Source: O*NET 30.3, occupation 39-3012.00 (Gambling and Sports Book Writers and Runners). + +## Task statements + +- **[Core]** Compute and verify amounts won or lost, paying out winnings or referring patrons to workers, such as gaming cashiers, so that winnings can be collected. +- **[Core]** Collect bets in the form of cash or chips, verifying and recording amounts. +- **[Core]** Collect cards or tickets from players. +- **[Core]** Answer questions about game rules or casino policies. +- **[Supplemental]** Compare the house hand with players' hands to determine the winner. +- **[Supplemental]** Check to ensure that all players have placed their bets before play begins. +- **[Supplemental]** Conduct gambling tables or games, such as dice, roulette, cards, or keno, and ensure that game rules are followed. +- **[Supplemental]** Prepare collection reports for submission to supervisors. +- **[Supplemental]** Pay off or move bets as established by game rules and procedures. +- **[Supplemental]** Inspect cards or equipment to be used in games to ensure they are in proper condition. +- **[Supplemental]** Exchange paper currency for playing chips or coins. +- **[Supplemental]** Open or close cash floats or game tables. +- **[Supplemental]** Start gaming equipment that randomly selects numbered balls and announce winning numbers and colors. +- **[Supplemental]** Record the number of tickets cashed and the amount paid out after each race or event. +- **[Supplemental]** Operate games in which players bet that a ball will come to rest in a particular slot on a rotating wheel, performing actions such as spinning the wheel and releasing the ball. +- **[Supplemental]** Supervise staff and games and mediate disputes. +- **[Supplemental]** Deliver tickets, cards, and money to bingo callers. +- **[Supplemental]** Sell food, beverages, or tobacco to players. + +## Detailed work activities + +- Compute gaming wins and losses. +- Conduct amusement or gaming activities. +- Conduct gaming transactions. +- Deliver items. +- Inspect equipment to ensure proper functioning. +- Maintain financial or account records. +- Mediate disputes. +- Operate gaming equipment. +- Prepare operational reports or records. +- Respond to customer inquiries. +- Sell products or services. +- Supervise service workers. diff --git a/references/tools.md b/references/tools.md new file mode 100644 index 0000000..dae625a --- /dev/null +++ b/references/tools.md @@ -0,0 +1,28 @@ +# Tools & technology — lottery operator + +Source: O*NET 30.3 'Software Skills' for 39-3012.00. + +| Software | Category | Hot technology | +|---|---|---| +| Microsoft Office software | Office suite software | yes | +| Microsoft Windows | Operating system software | yes | +| Microsoft PowerPoint | Presentation software | yes | +| Microsoft Excel | Spreadsheet software | yes | +| Microsoft Word | Word processing software | yes | +| Web browser software | Internet browser software | | +| Credit card processing software | Point of sale POS software | | + + + +## Market evidence (job-ad analysis, 6 ads, as of 2026-07-15) + +Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs. + +### Tools + +- Microsoft Excel — **17 %** +- Microsoft Outlook — **17 %** +- Microsoft Teams — **17 %** +- Microsoft Word — **17 %** + +