From 966368d5aa44e1a752a29d8be64e721d65b9101d Mon Sep 17 00:00:00 2001 From: skillfactor-pipeline Date: Fri, 14 Aug 2026 18:00:58 +0200 Subject: [PATCH] feat: footwear-assembly-supervisor skill package v0.1.0 --- PROVENANCE.md | 31 ++++ SKILL.md | 53 ++++++ manifest.json | 262 +++++++++++++++++++++++++++++ references/ai-skills.md | 354 ++++++++++++++++++++++++++++++++++++++++ references/market.md | 61 +++++++ references/profile.md | 29 ++++ references/skills.md | 105 ++++++++++++ references/tasks.md | 47 ++++++ references/tools.md | 73 +++++++++ 9 files changed, 1015 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..2e90fe3 --- /dev/null +++ b/PROVENANCE.md @@ -0,0 +1,31 @@ +# Data provenance — footwear-assembly-supervisor + +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 — footwear-assembly-supervisor + "ESCO (occupation & competences)" : 27 + "O*NET (tasks & tools)" : 90 + "Job boards (market evidence)" : 71 + "Anthropic official Claude skills" : 5 + "External AI skill packs (mapped)" : 171 +``` + +| Source | Items | Share | Files | +|---|---|---|---| +| ESCO (occupation & competences) | 27 | 7.4 % | references/profile.md, references/skills.md | +| O*NET (tasks & tools) | 90 | 24.7 % | references/tasks.md, references/tools.md | +| Job boards (market evidence) | 71 | 19.5 % | 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 | 1.4 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) | +| External AI skill packs (mapped) | 171 | 47.0 % | 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..d18073a --- /dev/null +++ b/SKILL.md @@ -0,0 +1,53 @@ +--- +name: footwear-assembly-supervisor +description: "Occupational skill for the role 'footwear assembly supervisor' (also: assembly team leader, assembly line supervisor, lasting supervisor, assembly room forewoman, footwear lasting supervisor, assembly room supervisor). Use when the user asks for typical footwear assembly supervisor work such as: typical footwear assembly supervisor responsibilities" +--- + +# Footwear Assembly Supervisor + +Footwear assembly supervisors check and coordinate activities of operators in the lasting room. They are in charge of coordinating lasting room activity with the previous and following activities of the production chain. They examine uppers and soles to be lasted and give instructions to produce them. These supervisors are in charge of supplying the lasting room with uppers, lasts, shanks, counters and small handling tools, and they are also in charge of the quality control of the lasting. + +## Core workflow + + +## How to use this skill + +- Read [references/profile.md](references/profile.md) for the occupation profile and scope. +- Consult [references/tasks.md](references/tasks.md) for the full task and activity inventory. +- Check [references/skills.md](references/skills.md) for essential vs. optional competences. +- Check [references/tools.md](references/tools.md) for the software commonly used in this role. +- See [references/ai-skills.md](references/ai-skills.md) — matched external AI agent skills (per-source attribution). + +## Key competences (essential) + +- assembling processes and techniques for california footwear construction +- assembling processes and techniques for cemented footwear construction +- assembling processes and techniques for goodyear footwear construction +- coordinate assembling room in footwear manufacturing +- create solutions to problems +- footwear bottoms pre-assembly +- footwear components +- footwear equipments +- footwear machinery +- footwear manufacturing technology +- footwear materials +- footwear quality +- footwear uppers pre-assembly +- use communication techniques +- use IT tools + +## Hot technologies + +- Apple Safari +- Autodesk AutoCAD +- Extensible markup language XML +- Kronos Workforce Timekeeper +- Microsoft Access +- Microsoft Excel +- Microsoft Office software +- Microsoft Outlook +- Microsoft PowerPoint +- Microsoft Project + +--- +*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/95d69048-3a4b-4cce-a155-584aaecfe403), O*NET 30.3 (51-1011.00, manual nearest match). See manifest.json for licensing/attribution.* diff --git a/manifest.json b/manifest.json new file mode 100644 index 0000000..dd65487 --- /dev/null +++ b/manifest.json @@ -0,0 +1,262 @@ +{ + "name": "footwear-assembly-supervisor", + "title": "footwear assembly supervisor", + "version": "0.1.0", + "layer": "core", + "language": "en", + "generated": "2026-07-07", + "ids": { + "esco_uri": "http://data.europa.eu/esco/occupation/95d69048-3a4b-4cce-a155-584aaecfe403", + "esco_code": "3122.3.3", + "isco_group": "3122", + "onet_soc": "51-1011.00", + "crosswalk_match": "manual nearest via ISCO 3122 (First-Line Supervisors of Production and Operating Workers)" + }, + "sources": [ + { + "name": "ESCO", + "version": "1.2.1", + "url": "https://esco.ec.europa.eu/" + }, + { + "name": "O*NET", + "version": "30.3", + "url": "https://www.onetcenter.org/", + "license": "CC BY 4.0" + } + ], + "attribution": "This package includes information from the O*NET Database (v30.3) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), CC BY 4.0. skillfactor is not endorsed by USDOL/ETA. ESCO data (v1.2.1) (c) European Union, used per the ESCO download conditions: https://esco.ec.europa.eu/en/use-esco/download", + "counts": { + "tasks": 0, + "dwas": 0, + "skills_essential": 16, + "skills_optional": 10, + "software": 0 + }, + "enrichment_ai_skills": { + "generated": "2026-07-14", + "method": "deterministic mapping (ISCO prefix + title/competence keywords)", + "sources": { + "anthropics/skills": { + "repo": "https://github.com/anthropics/skills", + "commit": "f6656c1", + "license": "Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available \u2014 see the LICENSE.txt in the upstream skill folder", + "skills": 2 + }, + "mukul975/Anthropic-Cybersecurity-Skills": { + "repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills", + "commit": "673da1f", + "license": "Apache-2.0", + "skills": 11 + }, + "ruvnet/claude-code-flow": { + "repo": "https://github.com/ruvnet/claude-code-flow", + "commit": "73914bd", + "license": "MIT", + "skills": 1 + }, + "ruvnet/ruflo": { + "repo": "https://github.com/ruvnet/ruflo", + "commit": "73914bd", + "license": "MIT", + "skills": 1 + }, + "qdrant/skills": { + "repo": "https://github.com/qdrant/skills", + "commit": "2a06cb1", + "license": "Apache-2.0", + "skills": 1 + }, + "jeremylongshore/claude-code-plugins-plus-skills": { + "repo": "https://github.com/jeremylongshore/claude-code-plugins-plus-skills", + "commit": "e112938a", + "license": "MIT", + "skills": 10 + }, + "davepoon/buildwithclaude": { + "repo": "https://github.com/davepoon/buildwithclaude", + "commit": "3c94e0c", + "license": "MIT", + "skills": 3 + }, + "ThinkInAIXYZ/deepchat": { + "repo": "https://github.com/ThinkInAIXYZ/deepchat", + "commit": "f275c92", + "license": "Apache-2.0", + "skills": 1 + }, + "Orchestra-Research/AI-research-SKILLs": { + "repo": "https://github.com/Orchestra-Research/AI-research-SKILLs", + "commit": "773a529", + "license": "MIT", + "skills": 7 + }, + "davila7/claude-code-templates": { + "repo": "https://github.com/davila7/claude-code-templates", + "commit": "fa79251", + "license": "MIT", + "skills": 7 + }, + "zechenzhangAGI/AI-research-SKILLs": { + "repo": "https://github.com/zechenzhangAGI/AI-research-SKILLs", + "commit": "773a529", + "license": "MIT", + "skills": 7 + }, + "nexu-io/open-design": { + "repo": "https://github.com/nexu-io/open-design", + "commit": "4b66023", + "license": "Apache-2.0", + "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 + }, + "foryourhealth111-pixel/Vibe-Skills": { + "repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills", + "commit": "34429a8", + "license": "Apache-2.0", + "skills": 2 + }, + "OpenRaiser/NanoResearch": { + "repo": "https://github.com/OpenRaiser/NanoResearch", + "commit": "7144364", + "license": "MIT", + "skills": 1 + }, + "egorfedorov/claude-context-optimizer": { + "repo": "https://github.com/egorfedorov/claude-context-optimizer", + "commit": "c604d3a", + "license": "MIT", + "skills": 1 + }, + "a5c-ai/babysitter": { + "repo": "https://github.com/a5c-ai/babysitter", + "commit": "44a5d58b", + "license": "MIT", + "skills": 4 + }, + "giuseppe-trisciuoglio/developer-kit": { + "repo": "https://github.com/giuseppe-trisciuoglio/developer-kit", + "commit": "306f428", + "license": "MIT", + "skills": 1 + }, + "raintree-technology/apple-hig-skills": { + "repo": "https://github.com/raintree-technology/apple-hig-skills", + "commit": "431fd30", + "license": "MIT", + "skills": 1 + }, + "dotnet/skills": { + "repo": "https://github.com/dotnet/skills", + "commit": "79a2ada", + "license": "MIT", + "skills": 1 + }, + "rockscy/solo-skills": { + "repo": "https://github.com/rockscy/solo-skills", + "commit": "80ec4cf", + "license": "MIT", + "skills": 1 + }, + "pedrohcgs/claude-code-my-workflow": { + "repo": "https://github.com/pedrohcgs/claude-code-my-workflow", + "commit": "be53c12", + "license": "MIT", + "skills": 1 + }, + "nWave-ai/nWave": { + "repo": "https://github.com/nWave-ai/nWave", + "commit": "1d0f13c", + "license": "MIT", + "skills": 1 + }, + "jabrena/plinth": { + "repo": "https://github.com/jabrena/plinth", + "commit": "065eae8", + "license": "Apache-2.0", + "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 + }, + "code-yeongyu/oh-my-openagent": { + "repo": "https://github.com/code-yeongyu/oh-my-openagent", + "commit": "b19f652", + "license": "custom (see upstream LICENSE)", + "skills": 1 + }, + "hypnguyen1209/offensive-claude": { + "repo": "https://github.com/hypnguyen1209/offensive-claude", + "commit": "4d62be7", + "license": "MIT", + "skills": 1 + }, + "elementalsouls/Claude-BugHunter": { + "repo": "https://github.com/elementalsouls/Claude-BugHunter", + "commit": "05098fc", + "license": "MIT", + "skills": 1 + }, + "HeshamFS/materials-simulation-skills": { + "repo": "https://github.com/HeshamFS/materials-simulation-skills", + "commit": "fa1ce8d", + "license": "Apache-2.0", + "skills": 1 + }, + "JasonColapietro/suede-creator-skills": { + "repo": "https://github.com/JasonColapietro/suede-creator-skills", + "commit": "0dc2aef", + "license": "MIT", + "skills": 1 + }, + "infrasity-labs/dev-gtm-claude-skills": { + "repo": "https://github.com/infrasity-labs/dev-gtm-claude-skills", + "commit": "02cfefb", + "license": "MIT", + "skills": 1 + } + }, + "total_skills": 80, + "tiers": { + "core": 38, + "adjacent": 42 + } + }, + "provenance": { + "items": { + "esco": 27, + "onet": 90, + "jobads": 71, + "wiki_ai": 0, + "anthropic": 5, + "ai_skills": 171, + "stackx": 0 + }, + "share_percent": { + "esco": 7.4, + "onet": 24.7, + "jobads": 19.5, + "wiki_ai": 0.0, + "anthropic": 1.4, + "ai_skills": 47.0, + "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..efbf9fc --- /dev/null +++ b/references/ai-skills.md @@ -0,0 +1,354 @@ +# External AI agent skills — footwear-assembly-supervisor + +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: 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 | +|---|---|---|---| +| `embedded-docs` | core | Embedded firmware documentation generation and maintenance using Doxygen and related tools. Expert skill for API documentation, hardware interface documentation, memory maps, and integration with documentation systems. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/embedded-systems/skills/embedded-docs) | +| `nsight-profiler` | core | Expert skill for NVIDIA Nsight Systems and Nsight Compute profiling tools. Configure profiling sessions, analyze kernel reports, interpret occupancy metrics, roofline model data, memory bandwidth bottlenecks, and warp execution efficiency. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/gpu-programming/skills/nsight-profiler) | +| `gas-optimization` | adjacent | Advanced gas optimization techniques for EVM smart contracts. Covers storage packing, memory vs calldata optimization, assembly/Yul, efficient data structures, batch operations, and benchmark-driven optimization strategies. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/cryptography-blockchain/skills/gas-optimization) | +| `SSA/IR Design` | adjacent | Expert skill for designing intermediate representations and implementing SSA construction | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/programming-languages/skills/ssa-ir-design) | + +## 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 | +|---|---|---|---| +| `system-profile` | core | Profile a target (script, process, GPU, memory, interconnect) using external tools and code instrumentation. Produces structured performance reports with actionable recommendations. Use when user says "profile", "benchmark", "bottleneck", … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/42-wanshuiyin-ARIS/skills/system-profile) | +| `code-review-excellence` | adjacent | This skill should be used when the user asks to review a diff or pull request, write review comments, audit code quality, establish review standards, or improve how a team performs code review. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/33-Galaxy-Dawn-claude-scholar/skills/code-review-excellence) | + +## Source: code-yeongyu/oh-my-openagent + +- Repository: [https://github.com/code-yeongyu/oh-my-openagent](https://github.com/code-yeongyu/oh-my-openagent) (commit `b19f652`, retrieved 2026-07-14) +- License: custom (see upstream LICENSE) + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `debugging` | adjacent | MUST USE for any real runtime debugging across ANY language or binary — crashes, silent failures, wrong responses, stuck processes, memory leaks, async misbehavior, unexplained timing, reverse engineering. Runs a hypothesis-driven loop: … | [source](https://github.com/code-yeongyu/oh-my-openagent/tree/b19f652/packages/shared-skills/skills/debugging) | + +## 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 | +|---|---|---|---| +| `outlook-calendar-automation` | core | Automate Outlook Calendar tasks via Rube MCP (Composio): create events, manage attendees, find meeting times, and handle invitations. Always search tools first for current schemas. | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/outlook-calendar-automation) | +| `outlook-automation` | core | Automate Outlook tasks via Rube MCP (Composio): emails, calendar, contacts, folders, attachments. Always search tools first for current schemas. | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/outlook-automation) | +| `image-enhancer` | adjacent | Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts. | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/image-enhancer) | + +## 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 | +|---|---|---|---| +| `gptq` | core | Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory reduction with <2% perplexity degradation, or for faster inference (3-4× speedup) vs … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/optimization-gptq) | +| `optimizing-attention-flash` | core | Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/optimization-flash-attention) | +| `quantizing-models-bitsandbytes` | core | Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 formats, QLoRA training, and 8-bit … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/optimization-bitsandbytes) | +| `unsloth` | core | Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/fine-tuning-unsloth) | +| `crewai-multi-agent` | adjacent | Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/agents-crewai) | +| `serving-llms-vllm` | adjacent | Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/inference-serving-vllm) | +| `image-enhancer` | adjacent | Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/media/image-enhancer) | + +## 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: egorfedorov/claude-context-optimizer + +- Repository: [https://github.com/egorfedorov/claude-context-optimizer](https://github.com/egorfedorov/claude-context-optimizer) (commit `c604d3a`, retrieved 2026-07-14) +- License: MIT + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `cco-overhead` | core | Audit the fixed context overhead every session starts with — system prompt, MCP tools, agents, CLAUDE.md, memory — measured from real transcript usage | [source](https://github.com/egorfedorov/claude-context-optimizer/tree/c604d3a/skills/cco-overhead) | + +## Source: elementalsouls/Claude-BugHunter + +- Repository: [https://github.com/elementalsouls/Claude-BugHunter](https://github.com/elementalsouls/Claude-BugHunter) (commit `05098fc`, retrieved 2026-07-14) +- License: MIT + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `hunt-file-upload` | adjacent | Hunt file upload bugs — RCE via webshell, XSS via SVG/HTML, SSRF via XXE in DOCX, path traversal via filename. Bypass tables (10 techniques): double extension (shell.php.jpg if server checks last ext only), magic bytes spoofing (PNG header … | [source](https://github.com/elementalsouls/Claude-BugHunter/tree/05098fc/skills/hunt-file-upload) | + +## 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 | +|---|---|---|---| +| `unsloth` | core | Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/unsloth) | +| `sentry` | adjacent | Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform read-only queries with the bundled script and require `SENTRY_AUTH_TOKEN`. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/sentry) | + +## Source: giuseppe-trisciuoglio/developer-kit + +- Repository: [https://github.com/giuseppe-trisciuoglio/developer-kit](https://github.com/giuseppe-trisciuoglio/developer-kit) (commit `306f428`, retrieved 2026-07-14) +- License: MIT + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `graalvm-native-image` | core | Provides expert guidance for building GraalVM Native Image executables from Java applications. Use when converting JVM applications to native binaries, optimizing cold start times, reducing memory footprint, configuring native build tools … | [source](https://github.com/giuseppe-trisciuoglio/developer-kit/tree/306f428/plugins/developer-kit-java/skills/graalvm-native-image) | + +## 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 | +|---|---|---|---| +| `performance-profiling` | adjacent | Identify computational bottlenecks, analyze parallel scaling, estimate memory requirements, and generate optimization recommendations for materials simulations — parse timing logs to find dominant phases (solver, assembly, I/O), evaluate … | [source](https://github.com/HeshamFS/materials-simulation-skills/tree/fa1ce8d/skills/simulation-workflow/performance-profiling) | + +## 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 | +|---|---|---|---| +| `engagement-memory` | adjacent | Use when recalling prior techniques at recon/weaponize, or recording a confirmed finding at report — cross-engagement pattern memory ranked by impact | [source](https://github.com/hypnguyen1209/offensive-claude/tree/4d62be7/skills/engagement-memory) | + +## Source: infrasity-labs/dev-gtm-claude-skills + +- Repository: [https://github.com/infrasity-labs/dev-gtm-claude-skills](https://github.com/infrasity-labs/dev-gtm-claude-skills) (commit `02cfefb`, retrieved 2026-07-14) +- License: MIT + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `brief-outline-generator` | adjacent | Generates a fully structured SEO content **outline** (not a finished brief) and exports it as a formatted .docx Word document. The output is a skeleton for a writer to fill in — section headings, topic prompts, angles — not pre-written … | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/skills/brief-outline-generator) | + +## Source: jabrena/plinth + +- Repository: [https://github.com/jabrena/plinth](https://github.com/jabrena/plinth) (commit `065eae8`, retrieved 2026-07-14) +- License: Apache-2.0 + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `145-java-refactoring-high-performance` | adjacent | Use when you need to refactor Java code for high performance — including memory/allocation reduction, CPU hot-path optimization, and syntax/API/control-flow improvements. This should trigger for requests such as Review Java code for high … | [source](https://github.com/jabrena/plinth/tree/065eae8/skills/145-java-refactoring-high-performance) | + +## Source: JasonColapietro/suede-creator-skills + +- Repository: [https://github.com/JasonColapietro/suede-creator-skills](https://github.com/JasonColapietro/suede-creator-skills) (commit `0dc2aef`, retrieved 2026-07-14) +- License: MIT + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `suede-instagram-growth` | adjacent | Suede-owned Instagram growth operating system for account-specific audits, Reels, carousels, Stories, conversion mapping, calendars, and daily candidate-production loops. Use when the user names Instagram, IG, Reels, Stories, asks to … | [source](https://github.com/JasonColapietro/suede-creator-skills/tree/0dc2aef/skills/suede-instagram-growth) | + +## 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 | +|---|---|---|---| +| `twinmind-reference-architecture` | core | Production architecture for meeting AI systems using TwinMind: transcription pipeline, memory vault, action item workflow, and calendar integration. Use when implementing reference architecture, or managing TwinMind meeting AI operations. … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/twinmind-pack/skills/twinmind-reference-architecture) | +| `mnemos` | core | Persistent memory and learning-loop skills for AI coding agents using mnemos MCP tools. Use whenever mnemos_* MCP tools are available and you are doing work worth remembering. Cross-session memory, conventions, corrections, and … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/community/mnemos/.claude/skills/mnemos) | +| `gamma-migration-deep-dive` | core | Deep dive into migrating to Gamma from other presentation platforms. Use when migrating from PowerPoint, Google Slides, Canva, or other presentation tools to Gamma. Trigger with phrases like "gamma migration", "migrate to gamma", "gamma … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/gamma-pack/skills/gamma-migration-deep-dive) | +| `granola-migration-deep-dive` | core | Migrate to Granola from Otter.ai, Fireflies, Fathom, tl;dv, or manual note-taking. Covers data export from source tools, parallel-run strategy, team transition, and historical data preservation. Trigger: "migrate to granola", "switch to … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/granola-pack/skills/granola-migration-deep-dive) | +| `maintainx-migration-deep-dive` | core | Execute complete platform migrations to or from MaintainX. Use when migrating from legacy CMMS systems, performing major re-platforming, or transitioning to MaintainX from spreadsheets or other tools. Trigger with phrases like "migrate to … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/maintainx-pack/skills/maintainx-migration-deep-dive) | +| `oraclecloud-sdk-patterns` | adjacent | Production-grade OCI SDK patterns for client lifecycle, retry logic, and memory leak avoidance. Use when building long-running OCI services, fixing memory leaks with Instance Principal auth, or implementing retry/backoff. Trigger with "oci … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/oraclecloud-pack/skills/oraclecloud-sdk-patterns) | +| `twinmind-observability` | adjacent | Monitor TwinMind transcription quality, meeting coverage, action item extraction rates, and memory vault health. Use when implementing observability, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/twinmind-pack/skills/twinmind-observability) | +| `vertex-engine-inspector` | adjacent | Inspect and validate Vertex AI Agent Engine deployments including Code Execution Sandbox, Memory Bank, A2A protocol compliance, and security posture. Generates production readiness scores. Use when asked to inspect, validate, or audit an … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/ai-ml/jeremy-vertex-engine/skills/vertex-engine-inspector) | +| `excel-macro-creator` | adjacent | Create excel macro creator operations. Auto-activating skill for Business Automation. Triggers on: excel macro creator, excel macro creator Part of the Business Automation skill category. Use when working with excel macro creator … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/skills/19-business-automation/excel-macro-creator) | +| `ink-calendar` | adjacent | Build a content calendar — editorial plan, publishing cadence, topic assignment, and distribution workflow. Use when asked to "build a content calendar", "plan our content for the quarter", "how often should we publish", or "create an … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/ai-agency/tonone/skills/ink-calendar) | + +## 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` | adjacent | 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` | adjacent | 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: 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) | +| `detecting-t1055-process-injection-with-sysmon` | adjacent | Detect process injection techniques (T1055) including classic DLL injection, process hollowing, and APC injection by analyzing Sysmon events for cross-process memory operations, remote thread creation, and anomalous DLL loading patterns. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-t1055-process-injection-with-sysmon) | +| `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) | +| `collecting-volatile-evidence-from-compromised-host` | adjacent | Collect volatile forensic evidence from a compromised system following order of volatility, preserving memory, network connections, processes, and system state before they are lost. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/collecting-volatile-evidence-from-compromised-host) | +| `detecting-fileless-malware-techniques` | adjacent | Detects and analyzes fileless malware that operates entirely in memory using PowerShell, WMI, .NET reflection, registry-resident payloads, and living-off-the-land binaries (LOLBins) without writing traditional executable files to disk. … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-fileless-malware-techniques) | +| `detecting-process-injection-techniques` | adjacent | Detects and analyzes process injection techniques used by malware including classic DLL injection, process hollowing, APC injection, thread hijacking, and reflective loading. Uses memory forensics, API monitoring, and behavioral analysis … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-process-injection-techniques) | +| `detecting-rootkit-activity` | adjacent | Detects rootkit presence on compromised systems by identifying hidden processes, hooked system calls, modified kernel structures, hidden files, and covert network connections using memory forensics, cross-view detection, and integrity … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-rootkit-activity) | +| `detecting-t1003-credential-dumping-with-edr` | adjacent | Detect OS credential dumping techniques targeting LSASS memory, SAM database, NTDS.dit, and cached credentials using EDR telemetry, Sysmon process access monitoring, and Windows security event correlation. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-t1003-credential-dumping-with-edr) | +| `extracting-memory-artifacts-with-rekall` | adjacent | Uses Rekall memory forensics framework to analyze memory dumps for process hollowing, injected code via VAD anomalies, hidden processes, and rootkit detection. Applies plugins like pslist, psscan, vadinfo, malfind, and dlllist to extract … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/extracting-memory-artifacts-with-rekall) | +| `performing-memory-forensics-with-volatility3` | adjacent | Analyze volatile memory dumps using Volatility 3 to extract running processes, network connections, loaded modules, and evidence of malicious activity. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/performing-memory-forensics-with-volatility3) | +| `implementing-memory-protection-with-dep-aslr` | adjacent | 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) | + +## Source: nexu-io/open-design + +- Repository: [https://github.com/nexu-io/open-design](https://github.com/nexu-io/open-design) (commit `4b66023`, retrieved 2026-07-14) +- License: Apache-2.0 + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `pptx` | core | Read, generate, and adjust PowerPoint slides, layouts, and templates. Useful for executive decks, training material, and product reviews. | [source](https://github.com/nexu-io/open-design/tree/4b66023/skills/pptx) | +| `pptx-generator` | adjacent | Create and edit PowerPoint presentations from scratch with PptxGenJS — MiniMax's production-tested deck pipeline. | [source](https://github.com/nexu-io/open-design/tree/4b66023/skills/pptx-generator) | +| `image-enhancer` | adjacent | Improve image and screenshot quality by enhancing resolution, sharpness, and clarity for professional presentations and documentation. | [source](https://github.com/nexu-io/open-design/tree/4b66023/skills/image-enhancer) | + +## 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-production-readiness` | adjacent | Monitoring, observability, operational procedures, CI/CD lessons learned, and quality gate definitions. Load when assessing production readiness or validating operational excellence. | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-production-readiness) | + +## Source: OpenRaiser/NanoResearch + +- Repository: [https://github.com/OpenRaiser/NanoResearch](https://github.com/OpenRaiser/NanoResearch) (commit `7144364`, retrieved 2026-07-14) +- License: MIT + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `unsloth` | core | Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization | [source](https://github.com/OpenRaiser/NanoResearch/tree/7144364/skills/vendor-ai-research/unsloth) | + +## Source: Orchestra-Research/AI-research-SKILLs + +- Repository: [https://github.com/Orchestra-Research/AI-research-SKILLs](https://github.com/Orchestra-Research/AI-research-SKILLs) (commit `773a529`, retrieved 2026-07-14) +- License: MIT + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `gptq` | core | Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory reduction with <2% perplexity degradation, or for faster inference (3-4× speedup) vs … | [source](https://github.com/Orchestra-Research/AI-research-SKILLs/tree/773a529/10-optimization/gptq) | +| `optimizing-attention-flash` | core | Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster … | [source](https://github.com/Orchestra-Research/AI-research-SKILLs/tree/773a529/10-optimization/flash-attention) | +| `pytorch-fsdp2` | core | Adds PyTorch FSDP2 (fully_shard) to training scripts with correct init, sharding, mixed precision/offload config, and distributed checkpointing. Use when models exceed single-GPU memory or when you need DTensor-based sharding with … | [source](https://github.com/Orchestra-Research/AI-research-SKILLs/tree/773a529/08-distributed-training/pytorch-fsdp2) | +| `quantizing-models-bitsandbytes` | core | Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 formats, QLoRA training, and 8-bit … | [source](https://github.com/Orchestra-Research/AI-research-SKILLs/tree/773a529/10-optimization/bitsandbytes) | +| `unsloth` | core | Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization | [source](https://github.com/Orchestra-Research/AI-research-SKILLs/tree/773a529/03-fine-tuning/unsloth) | +| `crewai-multi-agent` | adjacent | Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows … | [source](https://github.com/Orchestra-Research/AI-research-SKILLs/tree/773a529/14-agents/crewai) | +| `serving-llms-vllm` | adjacent | Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible … | [source](https://github.com/Orchestra-Research/AI-research-SKILLs/tree/773a529/12-inference-serving/vllm) | + +## 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 | +|---|---|---|---| +| `promote-memory` | core | Review candidate `[LEARN]` entries in `.claude/state/personal-memory.md` (gitignored) and run them through a five-critic council in parallel: generality, staleness, redundancy, evidence, format. Majority vote (3+ of 5) promotes the entry … | [source](https://github.com/pedrohcgs/claude-code-my-workflow/tree/be53c12/.claude/skills/promote-memory) | + +## Source: qdrant/skills + +- Repository: [https://github.com/qdrant/skills](https://github.com/qdrant/skills) (commit `2a06cb1`, retrieved 2026-07-14) +- License: Apache-2.0 + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `qdrant-monitoring-debugging` | core | Diagnoses Qdrant production issues using metrics and observability tools. Use when someone reports 'optimizer stuck', 'indexing too slow', 'memory too high', 'OOM crash', 'queries are slow', 'latency spike', or 'search was fast now it's … | [source](https://github.com/qdrant/skills/tree/2a06cb1/skills/qdrant-monitoring/debugging) | + +## Source: raintree-technology/apple-hig-skills + +- Repository: [https://github.com/raintree-technology/apple-hig-skills](https://github.com/raintree-technology/apple-hig-skills) (commit `431fd30`, retrieved 2026-07-14) +- License: MIT + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `hig-components-dialogs` | core | Apple HIG guidance for presentation components including alerts, action sheets, popovers, sheets, and digit entry views. Use this skill when the user says "should I use an alert or a sheet," "how do I show a confirmation dialog," "when … | [source](https://github.com/raintree-technology/apple-hig-skills/tree/431fd30/skills/hig-components-dialogs) | + +## Source: rockscy/solo-skills + +- Repository: [https://github.com/rockscy/solo-skills](https://github.com/rockscy/solo-skills) (commit `80ec4cf`, retrieved 2026-07-14) +- License: MIT + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `changelog-from-commits` | core | Generate a user-facing CHANGELOG entry from raw git log output. Use when the user is preparing a release, says "what changed since last version", asks to write release notes, or wants to summarize a batch of commits for end users. | [source](https://github.com/rockscy/solo-skills/tree/80ec4cf/skills/changelog-from-commits) | + +## 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 | +|---|---|---|---| +| `Hooks Automation` | core | Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$post task hooks, session management, Git integration, memory coordination, and neural pattern training … | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/hooks-automation) | + +## Source: ruvnet/ruflo + +- Repository: [https://github.com/ruvnet/ruflo](https://github.com/ruvnet/ruflo) (commit `73914bd`, retrieved 2026-07-14) +- License: MIT + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `Hooks Automation` | core | Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$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: 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 | +|---|---|---|---| +| `feishu-tools` | core | Use the Feishu/Lark plugin MCP tools for Feishu documents, spreadsheets, knowledge content, and other matching workspace operations. | [source](https://github.com/ThinkInAIXYZ/deepchat/tree/f275c92/plugins/feishu/skills/feishu-tools) | + +## 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 | +|---|---|---|---| +| `dataset-quality-audit` | adjacent | Run comprehensive quality checks on tabular data (CSV/Excel/TSV/JSON), detecting missing values, duplicates, outliers, format issues, and type inconsistencies to produce an overall score, grade, and actionable suggestions. Triggered when … | [source](https://github.com/zebbern/claude-code-guide/tree/d2c5280/skills/dataset-quality-audit) | + +## Source: zechenzhangAGI/AI-research-SKILLs + +- Repository: [https://github.com/zechenzhangAGI/AI-research-SKILLs](https://github.com/zechenzhangAGI/AI-research-SKILLs) (commit `773a529`, retrieved 2026-07-14) +- License: MIT + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `gptq` | core | Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory reduction with <2% perplexity degradation, or for faster inference (3-4× speedup) vs … | [source](https://github.com/zechenzhangAGI/AI-research-SKILLs/tree/773a529/10-optimization/gptq) | +| `optimizing-attention-flash` | core | Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster … | [source](https://github.com/zechenzhangAGI/AI-research-SKILLs/tree/773a529/10-optimization/flash-attention) | +| `pytorch-fsdp2` | core | Adds PyTorch FSDP2 (fully_shard) to training scripts with correct init, sharding, mixed precision/offload config, and distributed checkpointing. Use when models exceed single-GPU memory or when you need DTensor-based sharding with … | [source](https://github.com/zechenzhangAGI/AI-research-SKILLs/tree/773a529/08-distributed-training/pytorch-fsdp2) | +| `quantizing-models-bitsandbytes` | core | Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 formats, QLoRA training, and 8-bit … | [source](https://github.com/zechenzhangAGI/AI-research-SKILLs/tree/773a529/10-optimization/bitsandbytes) | +| `unsloth` | core | Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization | [source](https://github.com/zechenzhangAGI/AI-research-SKILLs/tree/773a529/03-fine-tuning/unsloth) | +| `crewai-multi-agent` | adjacent | Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows … | [source](https://github.com/zechenzhangAGI/AI-research-SKILLs/tree/773a529/14-agents/crewai) | +| `serving-llms-vllm` | adjacent | Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible … | [source](https://github.com/zechenzhangAGI/AI-research-SKILLs/tree/773a529/12-inference-serving/vllm) | diff --git a/references/market.md b/references/market.md new file mode 100644 index 0000000..45282cd --- /dev/null +++ b/references/market.md @@ -0,0 +1,61 @@ +# Market evidence report — footwear-assembly-supervisor + +Source: **6 real job ads** (JSearch API, countries: us 6), extracted into the MSSQL evidence store; as of 2026-07-12. +This report contains extracted, aggregated facts only — no ad text is +reproduced (copyright / platform terms). + +## Seniority distribution + +| Seniority | Ads | Share | +|---|---|---| +| lead | 5 | 83 % | +| 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 | +|---|---| +| Assembly Team Lead | 2 | +| 1st Shift Assembly Team Lead | 1 | +| Assembly Team Lead — Lead & Optimize Production | 1 | +| Assembly Team Lead: Lean Manufacturing Champion | 1 | +| Assembly Team Lead: Production & Quality | 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..45f7429 --- /dev/null +++ b/references/profile.md @@ -0,0 +1,29 @@ +# Occupation profile — footwear assembly supervisor + +- **ESCO URI:** http://data.europa.eu/esco/occupation/95d69048-3a4b-4cce-a155-584aaecfe403 +- **ESCO code:** 3122.3.3 +- **ISCO-08 group:** 3122 — Manufacturing supervisors + +## Description (ESCO) + +Footwear assembly supervisors check and coordinate activities of operators in the lasting room. They are in charge of coordinating lasting room activity with the previous and following activities of the production chain. They examine uppers and soles to be lasted and give instructions to produce them. These supervisors are in charge of supplying the lasting room with uppers, lasts, shanks, counters and small handling tools, and they are also in charge of the quality control of the lasting. + +## Definition + +nan + +## Alternative labels + +- assembly team leader +- assembly line supervisor +- lasting supervisor +- assembly room forewoman +- footwear lasting supervisor +- assembly room supervisor +- assembling team leader +- footwear assembling room supervisor +- assembly room foreman +- assembling room forewoman +- assembling room supervisor +- assembling room foreman +- assembly supervisor diff --git a/references/skills.md b/references/skills.md new file mode 100644 index 0000000..4fd05b7 --- /dev/null +++ b/references/skills.md @@ -0,0 +1,105 @@ +# Competences — footwear assembly supervisor + +Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/95d69048-3a4b-4cce-a155-584aaecfe403). + +## Essential + +- **assembling processes and techniques for california footwear construction** (knowledge) +- **assembling processes and techniques for cemented footwear construction** (knowledge) +- **assembling processes and techniques for goodyear footwear construction** (knowledge) +- **coordinate assembling room in footwear manufacturing** (skill/competence) +- **create solutions to problems** (skill/competence) +- **footwear bottoms pre-assembly** (knowledge) +- **footwear components** (knowledge) +- **footwear equipments** (knowledge) +- **footwear machinery** (knowledge) +- **footwear manufacturing technology** (knowledge) +- **footwear materials** (knowledge) +- **footwear quality** (knowledge) +- **footwear uppers pre-assembly** (knowledge) +- **use communication techniques** (skill/competence) +- **use IT tools** (skill/competence) +- **work in textile manufacturing teams** (skill/competence) + +## Optional + +- apply assembling techniques for cemented footwear construction (skill/competence) +- apply basic rules of maintenance to leather goods and footwear machinery (skill/competence) +- apply footwear bottoms pre-assembling techniques (skill/competence) +- apply footwear uppers pre-assembling techniques (skill/competence) +- communicate commercial and technical issues in foreign languages (skill/competence) +- coordinate closing room in footwear manufacturing (skill/competence) +- coordinate cutting room in footwear manufacturing (skill/competence) +- plan footwear manufacture (skill/competence) +- prepare footwear samples (skill/competence) +- reduce environmental impact of footwear manufacturing (skill/competence) + + + +## Market evidence (job-ad analysis, 6 ads, as of 2026-07-12) + +Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs. + +### Hard skills + +- quality control — **33 %** +- quality inspection — **33 %** +- task delegation — **33 %** +- training — **17 %** +- training coordination — **17 %** +- wiring — **17 %** +- safety training — **17 %** +- staff assignment — **17 %** +- technical drawing interpretation — **17 %** +- workflow management — **17 %** +- workflow observation — **17 %** +- assembly — **17 %** +- incident investigation — **17 %** +- inventory control — **17 %** +- machinery adjustment — **17 %** +- manufacturing oversight — **17 %** +- manufacturing processes — **17 %** +- data entry — **17 %** +- packaging — **17 %** +- performance feedback — **17 %** +- personnel assignment — **17 %** +- problem solving — **17 %** +- production control — **17 %** +- production operations — **17 %** +- production scheduling — **17 %** + +### Methods + +- continuous improvement — **33 %** +- ISO training — **17 %** +- lean manufacturing — **17 %** + +### Responsibilities + +- performance monitoring — **33 %** +- team leadership — **33 %** +- team member training — **17 %** +- team oversight — **17 %** +- team direction — **17 %** +- work area maintenance — **17 %** +- workflow coordination — **17 %** +- production workflow management — **17 %** +- schedule adherence — **17 %** +- record maintenance — **17 %** +- safety compliance — **17 %** +- safety issue communication — **17 %** +- safety leadership — **17 %** +- time record processing — **17 %** +- parts production quality control — **17 %** +- operator training — **17 %** +- efficiency improvement — **17 %** +- employee relations — **17 %** +- production standards compliance — **17 %** +- process training — **17 %** +- product assembly — **17 %** +- issue resolution — **17 %** +- daily operation oversight — **17 %** +- assembly worker training — **17 %** +- material receiving inspection — **17 %** + + diff --git a/references/tasks.md b/references/tasks.md new file mode 100644 index 0000000..db1f7c4 --- /dev/null +++ b/references/tasks.md @@ -0,0 +1,47 @@ +# Tasks & work activities — footwear assembly supervisor + +Source: O*NET 30.3, occupation 51-1011.00 (First-Line Supervisors of Production and Operating Workers) — manual nearest-occupation mapping via ISCO group 3122; the official ESCO crosswalk has no entry for this ESCO occupation. + +## Task statements + +- **[Core]** Conduct employee training in equipment operations or work and safety procedures, or assign employee training to experienced workers. +- **[Core]** Keep records of employees' attendance and hours worked. +- **[Core]** Recommend or execute personnel actions, such as hirings, evaluations, or promotions. +- **[Core]** Evaluate employee performance. +- **[Core]** Enforce safety and sanitation regulations. +- **[Core]** Direct and coordinate the activities of employees engaged in the production or processing of goods, such as inspectors, machine setters, or fabricators. +- **[Core]** Read and analyze charts, work orders, production schedules, and other records and reports to determine production requirements and to evaluate current production estimates and outputs. +- **[Core]** Confer with other supervisors to coordinate operations and activities within or between departments. +- **[Core]** Plan and establish work schedules, assignments, and production sequences to meet production goals. +- **[Core]** Inspect materials, products, or equipment to detect defects or malfunctions. +- **[Core]** Observe work and monitor gauges, dials, and other indicators to ensure that operators conform to production or processing standards. +- **[Core]** Confer with management or subordinates to resolve worker problems, complaints, or grievances. +- **[Core]** Interpret specifications, blueprints, job orders, and company policies and procedures for workers. +- **[Core]** Maintain operations data, such as time, production, and cost records, and prepare management reports of production results. +- **[Core]** Recommend or implement measures to motivate employees and to improve production methods, equipment performance, product quality, or efficiency. +- **[Core]** Determine standards, budgets, production goals, and rates, based on company policies, equipment and labor availability, and workloads. +- **[Core]** Requisition materials, supplies, equipment parts, or repair services. +- **[Core]** Set up and adjust machines and equipment. +- **[Core]** Calculate labor and equipment requirements and production specifications, using standard formulas. +- **[Core]** Plan and develop new products and production processes. + +## Detailed work activities + +- Adjust equipment to ensure optimal performance. +- Advise others on ways to improve processes or products. +- Calculate specific material, equipment, or labor requirements for production. +- Confer with others to resolve production problems or equipment malfunctions. +- Determine metal or plastic production methods. +- Direct operational or production activities. +- Enforce rules or regulations. +- Evaluate employee performance. +- Exchange information with colleagues. +- Inspect production equipment. +- Install equipment attachments or components. +- Instruct workers to use equipment or perform technical procedures. +- Monitor equipment operation to ensure proper functioning. +- Order materials, supplies, or equipment. +- Perform human resources activities. +- Plan production or operational procedures or sequences. +- Record operational or production data. +- Study blueprints or other instructions to determine equipment setup requirements. diff --git a/references/tools.md b/references/tools.md new file mode 100644 index 0000000..dd6f4c0 --- /dev/null +++ b/references/tools.md @@ -0,0 +1,73 @@ +# Tools & technology — footwear assembly supervisor + +Source: O*NET 30.3, occupation 51-1011.00 (First-Line Supervisors of Production and Operating Workers) — manual nearest-occupation mapping via ISCO group 3122; the official ESCO crosswalk has no entry for this ESCO occupation. + +| Software | Category | Hot technology | +|---|---|---| +| Apple Safari | Internet browser software | yes | +| Autodesk AutoCAD | Computer aided design CAD software | yes | +| Extensible markup language XML | Enterprise application integration software | yes | +| Kronos Workforce Timekeeper | Time accounting software | yes | +| Microsoft Access | Data base user interface and query software | yes | +| Microsoft Excel | Spreadsheet software | yes | +| Microsoft Office software | Office suite software | yes | +| Microsoft Outlook | Electronic mail software | yes | +| Microsoft PowerPoint | Presentation software | yes | +| Microsoft Project | Project management software | yes | +| Microsoft SharePoint | Document management software | yes | +| Microsoft Word | Word processing software | yes | +| Mozilla Firefox | Internet browser software | yes | +| SAP software | Enterprise resource planning ERP software | yes | +| Apple iWork Pages | Word processing software | | +| Aptean Made2Manage | Enterprise resource planning ERP software | | +| Bowen & Groves M1 ERP | Enterprise resource planning ERP software | | +| Capterra Enterprise Resource Planning | Enterprise resource planning ERP software | | +| Database software | Data base user interface and query software | | +| Delphi Technology | Financial analysis software | | +| Email software | Electronic mail software | | +| Encompix ERP | Enterprise resource planning ERP software | | +| Epicor Vantage ERP | Enterprise resource planning ERP software | | +| Epicor Vista ERP | Enterprise resource planning ERP software | | +| Exact MAX | Enterprise resource planning ERP software | | +| GHG Clockwise | Human resources software | | +| Giraffe Production Systems Giraffe Schedule System | Enterprise resource planning ERP software | | +| Google Chrome | Internet browser software | | +| HCSS HeavyJob | Project management software | | +| IBM Notes | Electronic mail software | | +| Intacct ERP | Enterprise resource planning ERP software | | +| Integrated materials management systems | Materials requirements planning logistics and supply chain software | | +| Materials management software | Materials requirements planning logistics and supply chain software | | +| Microsoft Axapta | Enterprise resource planning ERP software | | +| Microsoft Exchange | Electronic mail software | | +| Microsoft Internet Explorer | Internet browser software | | +| Microsoft Total Quality Control Management | Data base user interface and query software | | +| Minitab | Analytical or scientific software | | +| NetSuite NetERP | Enterprise resource planning ERP software | | +| Operational databases | Data base user interface and query software | | +| Oracle JD Edwards EnterpriseOne | Enterprise resource planning ERP software | | +| QA Software QMS Materials Management | Materials requirements planning logistics and supply chain software | | +| Resource planning software | Enterprise resource planning ERP software | | +| Retain Resource Planning | Enterprise resource planning ERP software | | +| SAP Business One | Enterprise resource planning ERP software | | +| Supervisory control and data acquisition SCADA software | Industrial control software | | +| SYSPRO business software | Enterprise resource planning ERP software | | +| Technology Group International Enterprise 21 ERP | Enterprise resource planning ERP software | | +| Timekeeping software | Time accounting software | | +| Total quality management TQM software | Project management software | | +| Work Technology WorkTech Time | Time accounting software | | + + + +## Market evidence (job-ad analysis, 6 ads, as of 2026-07-12) + +Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs. + +### Tools + +- Microsoft Excel — **17 %** +- Microsoft Office — **17 %** +- Microsoft Outlook — **17 %** +- Microsoft Word — **17 %** +- production tracking tools — **17 %** + +