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feat: leather-goods-quality-control-laboratory-technician skill package v0.1.0

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# Data provenance — leather-goods-quality-control-laboratory-technician
Where the content of this skill package comes from, counted by
content items (tasks, competences, tools, evidence entries, curated
knowledge). Rendered live by Gitea:
```mermaid
%%{init: {'theme':'base','themeVariables':{'pie1':'#f9a825','pie2':'#1e88e5','pie3':'#d97757','pie4':'#8e24aa','pieOuterStrokeWidth':'0px','pieSectionTextColor':'#fff'}}}%%
pie showData
title Content sources — leather-goods-quality-control-laboratory-technician
"ESCO (occupation & competences)" : 13
"O*NET (tasks & tools)" : 101
"Anthropic official Claude skills" : 5
"External AI skill packs (mapped)" : 177
```
| Source | Items | Share | Files |
|---|---|---|---|
| ESCO (occupation & competences) | 13 | 4.4 % | references/profile.md, references/skills.md |
| O*NET (tasks & tools) | 101 | 34.1 % | references/tasks.md, references/tools.md |
| Job boards (market evidence) | 0 | 0.0 % | references/market.md (full report) + "Market evidence" headline sections |
| Wikipedia & AI expert curation | 0 | 0.0 % | glossary, literature, usecases, intake, quality, evals/ |
| Anthropic official Claude skills | 5 | 1.7 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
| External AI skill packs (mapped) | 177 | 59.8 % | references/ai-skills.md (per-source attribution inside) |
| Stack Exchange practitioner Q&A (CC-BY-SA) | 0 | 0.0 % | references/practitioner-qa.md (per-entry attribution inside) |
Licensing: O*NET (USDOL/ETA, CC BY 4.0) · ESCO (© European Union) ·
job-ad evidence via official APIs (JSearch/Adzuna) · Wikipedia content
paraphrased with source URLs — never copied · external AI skills are
linked, not copied (Apache-2.0/MIT/source-available, see ai-skills.md).

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---
name: leather-goods-quality-control-laboratory-technician
description: "Occupational skill for the role 'leather goods quality control laboratory technician' (also: leather goods quality assurance laboratory technologist, leather goods QC laboratory technician, QC laboratory technician leather goods, QC/QA laboratory technician leather goods, leather goods QC/QA laboratory technician, leather goods QA/QC laboratory technologist). Use when the user asks for typical leather goods quality control laboratory technician work such as: typical leather goods quality control laboratory technician responsibilities"
---
# Leather Goods Quality Control Laboratory Technician
Leather goods quality control laboratory technicians perform laboratory control tests according to the national and international standards. During laboratory control tests they prepare samples, address test procedures, analysis and interpretation of the results and comparison with guidelines and standards and prepare reports. They make the linkage with outsourced laboratories for the tests which cannot be performed inside the company. They propose corrective and preventive measures.
## 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)
- apply footwear and leather goods quality control techniques
- communicate commercial and technical issues in foreign languages
- leather goods components
- leather goods manufacturing processes
- leather goods materials
- leather goods quality
- manage footwear quality systems
- perform laboratory tests on footwear or leather goods
- reduce environmental impact of footwear manufacturing
- use IT tools
## Hot technologies
- Adobe Acrobat
- Atlassian JIRA
- C
- Extensible markup language XML
- Hypertext markup language HTML
- JavaScript
- Microsoft Access
- Microsoft ASP.NET
- Microsoft Excel
- Microsoft Office software
---
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/45f8504d-24ac-4bcd-8692-a93acc74204c), O*NET 30.3 (19-4099.01, manual nearest match). See manifest.json for licensing/attribution.*

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{
"name": "leather-goods-quality-control-laboratory-technician",
"title": "leather goods quality control laboratory technician",
"version": "0.1.0",
"layer": "core",
"language": "en",
"generated": "2026-07-07",
"ids": {
"esco_uri": "http://data.europa.eu/esco/occupation/45f8504d-24ac-4bcd-8692-a93acc74204c",
"esco_code": "3119.16.3",
"isco_group": "3119",
"onet_soc": "19-4099.01",
"crosswalk_match": "manual nearest via ISCO 3119 (Quality Control Analysts)"
},
"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": 10,
"skills_optional": 2,
"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
},
"a5c-ai/babysitter": {
"repo": "https://github.com/a5c-ai/babysitter",
"commit": "44a5d58b",
"license": "MIT",
"skills": 6
},
"jeremylongshore/claude-code-plugins-plus-skills": {
"repo": "https://github.com/jeremylongshore/claude-code-plugins-plus-skills",
"commit": "e112938a",
"license": "MIT",
"skills": 10
},
"dotnet/skills": {
"repo": "https://github.com/dotnet/skills",
"commit": "79a2ada",
"license": "MIT",
"skills": 1
},
"davepoon/buildwithclaude": {
"repo": "https://github.com/davepoon/buildwithclaude",
"commit": "3c94e0c",
"license": "MIT",
"skills": 4
},
"qdrant/skills": {
"repo": "https://github.com/qdrant/skills",
"commit": "2a06cb1",
"license": "Apache-2.0",
"skills": 1
},
"egorfedorov/claude-context-optimizer": {
"repo": "https://github.com/egorfedorov/claude-context-optimizer",
"commit": "c604d3a",
"license": "MIT",
"skills": 1
},
"ThinkInAIXYZ/deepchat": {
"repo": "https://github.com/ThinkInAIXYZ/deepchat",
"commit": "f275c92",
"license": "Apache-2.0",
"skills": 1
},
"giuseppe-trisciuoglio/developer-kit": {
"repo": "https://github.com/giuseppe-trisciuoglio/developer-kit",
"commit": "306f428",
"license": "MIT",
"skills": 2
},
"brycewang-stanford/Auto-Empirical-Research-Skills": {
"repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills",
"commit": "85bf545",
"license": "CC-BY-4.0",
"skills": 5
},
"zebbern/claude-code-guide": {
"repo": "https://github.com/zebbern/claude-code-guide",
"commit": "d2c5280",
"license": "MIT",
"skills": 1
},
"davila7/claude-code-templates": {
"repo": "https://github.com/davila7/claude-code-templates",
"commit": "fa79251",
"license": "MIT",
"skills": 5
},
"nexu-io/open-design": {
"repo": "https://github.com/nexu-io/open-design",
"commit": "4b66023",
"license": "Apache-2.0",
"skills": 2
},
"nWave-ai/nWave": {
"repo": "https://github.com/nWave-ai/nWave",
"commit": "1d0f13c",
"license": "MIT",
"skills": 1
},
"OpenSenseNova/SenseNova-Skills": {
"repo": "https://github.com/OpenSenseNova/SenseNova-Skills",
"commit": "d8bb438",
"license": "MIT",
"skills": 1
},
"foryourhealth111-pixel/Vibe-Skills": {
"repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
"commit": "34429a8",
"license": "Apache-2.0",
"skills": 3
},
"mukul975/Anthropic-Cybersecurity-Skills": {
"repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
"commit": "673da1f",
"license": "Apache-2.0",
"skills": 9
},
"hypnguyen1209/offensive-claude": {
"repo": "https://github.com/hypnguyen1209/offensive-claude",
"commit": "4d62be7",
"license": "MIT",
"skills": 1
},
"antfu/skills": {
"repo": "https://github.com/antfu/skills",
"commit": "a74f281",
"license": "MIT",
"skills": 1
},
"nicobailon/visual-explainer": {
"repo": "https://github.com/nicobailon/visual-explainer",
"commit": "528b71f",
"license": "MIT",
"skills": 1
},
"jabrena/plinth": {
"repo": "https://github.com/jabrena/plinth",
"commit": "065eae8",
"license": "Apache-2.0",
"skills": 3
},
"ruvnet/claude-code-flow": {
"repo": "https://github.com/ruvnet/claude-code-flow",
"commit": "73914bd",
"license": "MIT",
"skills": 2
},
"ruvnet/ruflo": {
"repo": "https://github.com/ruvnet/ruflo",
"commit": "73914bd",
"license": "MIT",
"skills": 2
},
"affaan-m/everything-claude-code": {
"repo": "https://github.com/affaan-m/everything-claude-code",
"commit": "ed38744",
"license": "MIT",
"skills": 2
},
"Leonxlnx/taste-skill": {
"repo": "https://github.com/Leonxlnx/taste-skill",
"commit": "b177427",
"license": "MIT",
"skills": 1
},
"JuliusBrussee/caveman": {
"repo": "https://github.com/JuliusBrussee/caveman",
"commit": "0d95a81",
"license": "MIT",
"skills": 1
},
"secondsky/claude-skills": {
"repo": "https://github.com/secondsky/claude-skills",
"commit": "c4889f6",
"license": "MIT",
"skills": 2
},
"dembrandt/dembrandt-skills": {
"repo": "https://github.com/dembrandt/dembrandt-skills",
"commit": "38cd2b7",
"license": "MIT",
"skills": 1
},
"ljagiello/ctf-skills": {
"repo": "https://github.com/ljagiello/ctf-skills",
"commit": "d19f35f",
"license": "MIT",
"skills": 2
},
"code-yeongyu/oh-my-openagent": {
"repo": "https://github.com/code-yeongyu/oh-my-openagent",
"commit": "b19f652",
"license": "custom (see upstream LICENSE)",
"skills": 1
},
"sanjay3290/ai-skills": {
"repo": "https://github.com/sanjay3290/ai-skills",
"commit": "3619692",
"license": "Apache-2.0",
"skills": 2
},
"staruhub/ClaudeSkills": {
"repo": "https://github.com/staruhub/ClaudeSkills",
"commit": "3d4045d",
"license": "MIT",
"skills": 1
},
"open-gitagent/opengap": {
"repo": "https://github.com/open-gitagent/opengap",
"commit": "d7a8e2e",
"license": "MIT",
"skills": 1
},
"basicmachines-co/basic-memory": {
"repo": "https://github.com/basicmachines-co/basic-memory",
"commit": "53da71c",
"license": "custom (see upstream LICENSE)",
"skills": 1
}
},
"total_skills": 80,
"tiers": {
"core": 15,
"adjacent": 65
}
},
"provenance": {
"items": {
"esco": 13,
"onet": 101,
"jobads": 0,
"wiki_ai": 0,
"anthropic": 5,
"ai_skills": 177,
"stackx": 0
},
"share_percent": {
"esco": 4.4,
"onet": 34.1,
"jobads": 0.0,
"wiki_ai": 0.0,
"anthropic": 1.7,
"ai_skills": 59.8,
"stackx": 0.0
},
"method": "content items per source category"
},
"collar": "white",
"computer_work": true
}

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# External AI agent skills — leather-goods-quality-control-laboratory-technician
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) |
| `translation-management` | core | Integration with translation management systems and i18n workflows. Connect with Crowdin, Transifex, Weblate, manage translation memory, synchronize glossaries, and automate localization pipelines. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/technical-documentation/skills/translation-management) |
| `growing-outside-in-systems` | adjacent | Drive feature development using Outside-In TDD with Hexagonal Architecture. Design emerges through inline code, in-memory fakes, interface extraction, and deferred I/O. Use when building features, writing tests, or structuring backend … | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/backend-development/skills/growing-outside-in-systems) |
| `cuda-debugging` | adjacent | Expert skill for GPU debugging using CUDA-GDB and NVIDIA Compute Sanitizer. Detect memory errors, race conditions, uninitialized memory access, validate atomic operations, analyze kernel synchronization issues, and generate debugging … | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/gpu-programming/skills/cuda-debugging) |
| `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) |
## Source: affaan-m/everything-claude-code
- Repository: [https://github.com/affaan-m/everything-claude-code](https://github.com/affaan-m/everything-claude-code) (commit `ed38744`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `agentic-os` | adjacent | Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/agentic-os) |
| `content-engine` | adjacent | Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/.agents/skills/content-engine) |
## Source: antfu/skills
- Repository: [https://github.com/antfu/skills](https://github.com/antfu/skills) (commit `a74f281`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `slidev` | adjacent | Create and present web-based slidedecks for developers using Slidev with Markdown, Vue components, code highlighting, animations, and interactive features. Use when building technical presentations, conference talks, code walkthroughs, … | [source](https://github.com/antfu/skills/tree/a74f281/skills/slidev) |
## 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 |
|---|---|---|---|
| `fix-pr-issues` | adjacent | Use when addressing Basic Memory pull request feedback, failed checks, or BM Bossbot blockers from Codex. | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/.agents/skills/fix-pr-issues) |
## 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) |
| `referee2` | adjacent | Systematic audit and review by Referee 2. Two modes — "deck" reviews slide presentations for rhetoric, visual quality, and compile cleanliness; "code" performs cross-language replication and econometric audit of empirical pipelines. Use … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/13-scunning1975-MixtapeTools/skills/referee2) |
| `review` | adjacent | All quality reviews — routes to appropriate critics based on target file type and flags. Replaces /paper-excellence, /proofread, /econometrics-check, /review-r, /review-paper. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/16-hsantanna88-clo-author/dot-claude/skills/review) |
| `slide-excellence` | adjacent | Multi-agent slide review (visual, pedagogy, proofreading). Use for comprehensive quality check before milestones. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/12-pedrohcgs-claude-code-my-workflow/dot-claude/skills/slide-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) |
| `googlesheets-automation` | adjacent | Automate Google Sheets operations (read, write, format, filter, manage spreadsheets) via Rube MCP (Composio). Read/write data, manage tabs, apply formatting, and search rows programmatically. | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/googlesheets-automation) |
## 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 |
|---|---|---|---|
| `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) |
| `Excel Analysis` | adjacent | Analyze Excel spreadsheets, create pivot tables, generate charts, and perform data analysis. Use when analyzing Excel files, spreadsheets, tabular data, or .xlsx files. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/enterprise-communication/excel-analysis) |
| `agent-memory-systems` | adjacent | Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/agent-memory-systems) |
| `ai-agents-architect` | adjacent | Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build agent, AI agent, autonomous agent, tool use, function calling. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/ai-agents-architect) |
| `conversation-memory` | adjacent | Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory Use when: conversation memory, remember, memory persistence, long-term memory, chat history. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/conversation-memory) |
## Source: dembrandt/dembrandt-skills
- Repository: [https://github.com/dembrandt/dembrandt-skills](https://github.com/dembrandt/dembrandt-skills) (commit `38cd2b7`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `component-family-consistency` | adjacent | Buttons, inputs, pills, badges, calendars, and other interactive components form a visual family — they share the same border-radius, colour logic, shadow scale, border style, and spacing rhythm. Inconsistency between them breaks the sense … | [source](https://github.com/dembrandt/dembrandt-skills/tree/38cd2b7/skills/component-family-consistency) |
## 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: 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 |
|---|---|---|---|
| `slides-as-code` | adjacent | Build research slides with text-first source (Slidev/Marp/Reveal/Quarto) and reproducible export (PDF). Includes structure, figure reuse rules, and quality checklist for top-tier scientific presentations. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/slides-as-code) |
| `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) |
| `document-skills` | adjacent | Umbrella skill for document workflows (PDF/DOCX/XLSX/PPTX). Dispatches to the most specific document skill to reduce noise and improve routing precision. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/document-skills) |
## 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) |
| `memory-md-management` | adjacent | Provides comprehensive memory file management capabilities including auditing, quality assessment, and targeted improvements for files such as CLAUDE.md. Use when user asks to check, audit, update, improve, fix, maintain, or validate … | [source](https://github.com/giuseppe-trisciuoglio/developer-kit/tree/306f428/plugins/developer-kit-core/skills/memory-md-management) |
## Source: 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: 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) |
| `161-java-profiling-detect` | adjacent | Use when you need to set up Java application profiling to detect and measure performance issues — including trusted preinstalled async-profiler v4.x setup, problem-driven profiling (CPU, memory, threading, GC, I/O), interactive profiling … | [source](https://github.com/jabrena/plinth/tree/065eae8/skills/161-java-profiling-detect) |
| `162-java-profiling-analyze` | adjacent | Use when you need to analyze Java profiling data collected during the detection phase — including interpreting flamegraphs, memory allocation patterns, CPU hotspots, threading issues, systematic problem categorization, evidence … | [source](https://github.com/jabrena/plinth/tree/065eae8/skills/162-java-profiling-analyze) |
## 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 |
|---|---|---|---|
| `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) |
| `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) |
| `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) |
| `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) |
| `cursor-performance-tuning` | adjacent | Optimize Cursor IDE performance: reduce memory usage, speed up indexing, tune AI features, and manage extensions for large codebases. Triggers on "cursor performance", "cursor slow", "cursor optimization", "cursor memory", "speed up … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/cursor-pack/skills/cursor-performance-tuning) |
| `atlas-present` | adjacent | Generate a polished HTML presentation page and Obsidian Canvas for big releases — new products, takeovers, major migrations. Non-technical audience. Use when asked to "present this", "release announcement", "show what we built", or … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/ai-agency/tonone/skills/atlas-present) |
| `clickhouse-common-errors` | adjacent | 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` | adjacent | 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) |
| `gamma-core-workflow-b` | adjacent | Generate from templates, retrieve exports, and manage sharing via Gamma API. Use when creating content from template gammas, downloading PDF/PPTX/PNG exports, or configuring sharing and folder organization. Trigger: "gamma template", … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/gamma-pack/skills/gamma-core-workflow-b) |
## Source: JuliusBrussee/caveman
- Repository: [https://github.com/JuliusBrussee/caveman](https://github.com/JuliusBrussee/caveman) (commit `0d95a81`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `caveman-compress` | adjacent | Compress natural language memory files (CLAUDE.md, todos, preferences) into caveman format to save input tokens. Preserves all technical substance, code, URLs, and structure. Compressed version overwrites the original file. Human-readable … | [source](https://github.com/JuliusBrussee/caveman/tree/0d95a81/plugins/caveman/skills/caveman-compress) |
## Source: Leonxlnx/taste-skill
- Repository: [https://github.com/Leonxlnx/taste-skill](https://github.com/Leonxlnx/taste-skill) (commit `b177427`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `brandkit` | adjacent | Premium brand-kit image generation skill for creating high-end brand-guidelines boards, logo systems, identity decks, and visual-world presentations. Trained for minimalist, cinematic, editorial, dark-tech, luxury, cultural, security, … | [source](https://github.com/Leonxlnx/taste-skill/tree/b177427/skills/brandkit) |
## 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-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) |
| `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) |
| `analyzing-macro-malware-in-office-documents` | adjacent | 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) |
| `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-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) |
| `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) |
| `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) |
## 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 |
|---|---|---|---|
| `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) |
| `brandkit` | adjacent | Premium brand-kit image generation skill for creating high-end brand-guidelines boards, logo systems, identity decks, and visual-world presentations. Trained for minimalist, cinematic, editorial, dark-tech, luxury, cultural, security, … | [source](https://github.com/nexu-io/open-design/tree/4b66023/skills/brandkit) |
## Source: nicobailon/visual-explainer
- Repository: [https://github.com/nicobailon/visual-explainer](https://github.com/nicobailon/visual-explainer) (commit `528b71f`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `visual-explainer` | adjacent | Generate self-contained HTML visual explanations for systems, code changes, plans, data, and technical concepts. Use for diagrams, architecture overviews, diff or plan reviews, project recaps, comparison tables, slide decks, and other … | [source](https://github.com/nicobailon/visual-explainer/tree/528b71f/plugins/visual-explainer) |
## 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: 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` | adjacent | 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 |
|---|---|---|---|
| `outlier-detection-and-quality-assessment` | adjacent | 执行全面的异常值检测与数据质量评估，利用 IQR 方法识别异常值并结合偏度、峰度分析数据分布特征，适用于非正态分布数据的预处理阶段。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-cleaning/outlier-detection) |
## 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: ruvnet/claude-code-flow
- Repository: [https://github.com/ruvnet/claude-code-flow](https://github.com/ruvnet/claude-code-flow) (commit `73914bd`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `AgentDB Memory Patterns` | adjacent | Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/agentdb-memory-patterns) |
| `V3 Memory Unification` | adjacent | Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend). | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/v3-memory-unification) |
## Source: ruvnet/ruflo
- Repository: [https://github.com/ruvnet/ruflo](https://github.com/ruvnet/ruflo) (commit `73914bd`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `AgentDB Memory Patterns` | adjacent | Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/agentdb-memory-patterns) |
| `V3 Memory Unification` | adjacent | Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend). | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/v3-memory-unification) |
## 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` | adjacent | 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) |
| `gmail` | adjacent | Interact with Gmail - search emails, read messages, send emails, create drafts, and manage labels. Use when user asks to: search email, read email, send email, create email draft, mark as read, archive email, star email, or manage Gmail … | [source](https://github.com/sanjay3290/ai-skills/tree/3619692/skills/gmail) |
## Source: secondsky/claude-skills
- Repository: [https://github.com/secondsky/claude-skills](https://github.com/secondsky/claude-skills) (commit `c4889f6`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `cloudflare-browser-rendering` | adjacent | Cloudflare Browser Rendering with Puppeteer/Playwright. Use for screenshots, PDFs, web scraping, or encountering rendering errors, timeout issues, memory exceeded. | [source](https://github.com/secondsky/claude-skills/tree/c4889f6/plugins/cloudflare-browser-rendering/skills/cloudflare-browser-rendering) |
| `cloudflare-workers-performance` | adjacent | Cloudflare Workers performance optimization with CPU, memory, caching, bundle size. Use for slow workers, high latency, cold starts, or encountering CPU limits, memory issues, timeout errors. | [source](https://github.com/secondsky/claude-skills/tree/c4889f6/plugins/cloudflare-workers/skills/cloudflare-workers-performance) |
## Source: staruhub/ClaudeSkills
- Repository: [https://github.com/staruhub/ClaudeSkills](https://github.com/staruhub/ClaudeSkills) (commit `3d4045d`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `deep-research` | adjacent | Use this skill when the user wants an evidence-based research memo, literature review, market/policy/technical landscape, or a multi-source decision brief with citations, trade-offs, and a clear conclusion. Best for tasks that need … | [source](https://github.com/staruhub/ClaudeSkills/tree/3d4045d/skills/Geek-skills-deep-research) |
## Source: ThinkInAIXYZ/deepchat
- Repository: [https://github.com/ThinkInAIXYZ/deepchat](https://github.com/ThinkInAIXYZ/deepchat) (commit `f275c92`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `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) |

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# Occupation profile — leather goods quality control laboratory technician
- **ESCO URI:** http://data.europa.eu/esco/occupation/45f8504d-24ac-4bcd-8692-a93acc74204c
- **ESCO code:** 3119.16.3
- **ISCO-08 group:** 3119 — Physical and engineering science technicians not elsewhere classified
## Description (ESCO)
Leather goods quality control laboratory technicians perform laboratory control tests according to the national and international standards. During laboratory control tests they prepare samples, address test procedures, analysis and interpretation of the results and comparison with guidelines and standards and prepare reports. They make the linkage with outsourced laboratories for the tests which cannot be performed inside the company. They propose corrective and preventive measures.
## Definition
nan
## Alternative labels
- leather goods quality assurance laboratory technologist
- leather goods QC laboratory technician
- QC laboratory technician leather goods
- QC/QA laboratory technician leather goods
- leather goods QC/QA laboratory technician
- leather goods QA/QC laboratory technologist
- leather goods quality control laboratory specialist
- leather goods QC laboratory specialist
- leather goods quality control laboratory technologist
- leather goods QC laboratory technologist
- leather goods quality assurance laboratory specialist

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# Competences — leather goods quality control laboratory technician
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/45f8504d-24ac-4bcd-8692-a93acc74204c).
## Essential
- **apply footwear and leather goods quality control techniques** (skill/competence)
- **communicate commercial and technical issues in foreign languages** (skill/competence)
- **leather goods components** (knowledge)
- **leather goods manufacturing processes** (knowledge)
- **leather goods materials** (knowledge)
- **leather goods quality** (knowledge)
- **manage footwear quality systems** (skill/competence)
- **perform laboratory tests on footwear or leather goods** (skill/competence)
- **reduce environmental impact of footwear manufacturing** (skill/competence)
- **use IT tools** (skill/competence)
## Optional
- innovate in footwear and leather goods industry (skill/competence)
- use communication techniques (skill/competence)

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# Tasks & work activities — leather goods quality control laboratory technician
Source: O*NET 30.3, occupation 19-4099.01 (Quality Control Analysts) — manual nearest-occupation mapping via ISCO group 3119; the official ESCO crosswalk has no entry for this ESCO occupation.
## Task statements
- **[Core]** Train other analysts to perform laboratory procedures and assays.
- **[Core]** Perform visual inspections of finished products.
- **[Core]** Serve as a technical liaison between quality control and other departments, vendors, or contractors.
- **[Core]** Participate in internal assessments and audits as required.
- **[Core]** Identify and troubleshoot equipment problems.
- **[Supplemental]** Evaluate new technologies and methods to make recommendations regarding their use.
- **[Core]** Ensure that lab cleanliness and safety standards are maintained.
- **[Supplemental]** Develop and qualify new testing methods.
- **[Supplemental]** Coordinate testing with contract laboratories and vendors.
- **[Core]** Write technical reports or documentation, such as deviation reports, testing protocols, and trend analyses.
- **[Core]** Write or revise standard quality control operating procedures.
- **[Core]** Supply quality control data necessary for regulatory submissions.
- **[Core]** Receive and inspect raw materials.
- **[Supplemental]** Review data from contract laboratories to ensure accuracy and regulatory compliance.
- **[Supplemental]** Prepare or review required method transfer documentation including technical transfer protocols or reports.
- **[Core]** Perform validations or transfers of analytical methods in accordance with applicable policies or guidelines.
- **[Core]** Participate in out-of-specification and failure investigations and recommend corrective actions.
- **[Core]** Monitor testing procedures to ensure that all tests are performed according to established item specifications, standard test methods, or protocols.
- **[Core]** Investigate or report questionable test results.
- **[Core]** Interpret test results, compare them to established specifications and control limits, and make recommendations on appropriateness of data for release.
- **[Core]** Identify quality problems and recommend solutions.
- **[Core]** Evaluate analytical methods and procedures to determine how they might be improved.
- **[Core]** Complete documentation needed to support testing procedures, including data capture forms, equipment logbooks, or inventory forms.
- **[Core]** Calibrate, validate, or maintain laboratory equipment.
- **[Core]** Compile laboratory test data and perform appropriate analyses.
- **[Core]** Conduct routine and non-routine analyses of in-process materials, raw materials, environmental samples, finished goods, or stability samples.
## Detailed work activities
- Advise others on business or operational matters.
- Advise others on the development or use of new technologies.
- Analyze test results.
- Apply mathematical principles or statistical approaches to solve problems in scientific or applied fields.
- Calibrate scientific or technical equipment.
- Conduct financial or regulatory audits.
- Conduct quantitative failure analyses of operational data.
- Coordinate activities with suppliers, contractors, clients, or other departments.
- Determine appropriate methods for data analysis.
- Develop collaborative relationships between departments or with external organizations.
- Develop testing routines or procedures.
- Establish standards for products, processes, or procedures.
- Evaluate new technologies or methods.
- Evaluate quality of materials or products.
- Inspect areas for compliance with sanitation standards.
- Interpret research or operational data.
- Maintain laboratory or technical equipment.
- Monitor operational procedures in technical environments to ensure conformance to standards.
- Prepare information or documentation related to legal or regulatory matters.
- Prepare operational reports.
- Record research or operational data.
- Test quality of materials or finished products.
- Train personnel in technical or scientific procedures.
- Verify accuracy of data.

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# Tools & technology — leather goods quality control laboratory technician
Source: O*NET 30.3, occupation 19-4099.01 (Quality Control Analysts) — manual nearest-occupation mapping via ISCO group 3119; the official ESCO crosswalk has no entry for this ESCO occupation.
| Software | Category | Hot technology |
|---|---|---|
| Adobe Acrobat | Document management software | yes |
| Atlassian JIRA | Content workflow software | yes |
| C | Development environment software | yes |
| Extensible markup language XML | Enterprise application integration software | yes |
| Hypertext markup language HTML | Web platform development software | yes |
| JavaScript | Web platform development software | yes |
| Microsoft Access | Data base user interface and query software | yes |
| Microsoft ASP.NET | Web platform development 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 SQL Server | Data base user interface and query software | yes |
| Microsoft Visio | Process mapping and design software | yes |
| Microsoft Visual Basic | Development environment software | yes |
| Microsoft Windows | Operating system software | yes |
| Microsoft Word | Word processing software | yes |
| SAP software | Enterprise resource planning ERP software | yes |
| Selenium | Program testing software | yes |
| Structured query language SQL | Data base user interface and query software | yes |
| The MathWorks MATLAB | Analytical or scientific software | yes |
| Borland SilkTest | Program testing software | |
| Code profilers | Program testing software | |
| Database software | Data base user interface and query software | |
| dBASE | Data base user interface and query software | |
| Eko | Desktop communications software | |
| FileMaker Pro | Data base user interface and query software | |
| Hewlett Packard LoadRunner | Program testing software | |
| Hewlett Packard QuickTest Professional | Program testing software | |
| IBM Notes | Electronic mail software | |
| IBM Rational Functional Tester | Program testing software | |
| IBM Rational Robot | Program testing software | |
| Laboratory information management system LIMS | Analytical or scientific software | |
| LabWare LIMS | Analytical or scientific software | |
| Micro Focus TestPartner | Program testing software | |
| Microsoft Internet Explorer | Internet browser software | |
| Microsoft Internet Information Services (IIS) | Transaction server software | |
| Microsoft Visual Studio Test Professional | Program testing software | |
| Minitab | Analytical or scientific software | |
| National Instruments LabVIEW | Development environment software | |
| Parasoft SOAtest | Program testing software | |
| Relational database management software | Data base management system software | |
| SAP BusinessObjects Crystal Reports | Data base reporting software | |
| SmartBear Software AutomatedQA TestComplete | Program testing software | |
| SmugMug Flickr | Graphics or photo imaging software | |
| Sparta Systems TrackWise | Compliance software | |
| Test automation software | Analytical or scientific software | |
| Watir | Program testing software | |