feat: microelectronics-maintenance-technician skill package v0.1.0

This commit is contained in:
skillfactor-pipeline
2026-08-14 17:50:58 +02:00
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# Data provenance — microelectronics-maintenance-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':'#ff355e','pie4':'#d97757','pie5':'#8e24aa','pieOuterStrokeWidth':'0px','pieSectionTextColor':'#fff'}}}%%
pie showData
title Content sources — microelectronics-maintenance-technician
"ESCO (occupation & competences)" : 27
"O*NET (tasks & tools)" : 54
"Job boards (market evidence)" : 106
"Anthropic official Claude skills" : 5
"External AI skill packs (mapped)" : 180
```
| Source | Items | Share | Files |
|---|---|---|---|
| ESCO (occupation & competences) | 27 | 7.3 % | references/profile.md, references/skills.md |
| O*NET (tasks & tools) | 54 | 14.5 % | references/tasks.md, references/tools.md |
| Job boards (market evidence) | 106 | 28.5 % | 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 | 1.3 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
| External AI skill packs (mapped) | 180 | 48.4 % | 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: microelectronics-maintenance-technician
description: "Occupational skill for the role 'microelectronics maintenance technician' (also: microelectronics maintenance and repair technician, industrial maintenance technician, microelectronic devices maintenance technician, maintenance and repair technician, microelectronic systems maintenance technician). Use when the user asks for typical microelectronics maintenance technician work such as: Disassemble machinery or equipment to remove parts and make repairs.; Repair or replace broken or malfunctioning components of machinery or equipment.; Repair or maintain the operating condition of industrial production or processing machinery or equipment."
---
# Microelectronics Maintenance Technician
Microelectronics maintenance technicians are responsible for carrying out preventive and corrective activities and troubleshooting of microelectronic systems and devices. They diagnose and detect malfunctions in microelectronic systems, products, and components and remove, replace, or repair these components when necessary. They execute preventative equipment maintenance tasks.
## Core workflow
1. Disassemble machinery or equipment to remove parts and make repairs.
2. Repair or replace broken or malfunctioning components of machinery or equipment.
3. Repair or maintain the operating condition of industrial production or processing machinery or equipment.
4. Examine parts for defects, such as breakage or excessive wear.
5. Reassemble equipment after completion of inspections, testing, or repairs.
6. Observe and test the operation of machinery or equipment to diagnose malfunctions, using voltmeters or other testing devices.
7. Operate newly repaired machinery or equipment to verify the adequacy of repairs.
8. Clean, lubricate, or adjust parts, equipment, or machinery.
## 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)
- CAD software
- CAM software
- conduct inter-shift communication
- conduct routine machinery checks
- electronics
- environmental legislation
- integrated circuits
- maintain microelectronics
- mathematics
- mechanics
- microassembly
- microelectronics
- physics
- quality assurance procedures
- quality standards
## Hot technologies
- Microsoft Outlook
- SAP software
- Microsoft Office software
- Microsoft PowerPoint
- Microsoft Excel
- Microsoft Word
---
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/2168e49d-e58a-43ec-a15e-8e173939b255), O*NET 30.3 (49-9041.00). See manifest.json for licensing/attribution.*

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{
"name": "microelectronics-maintenance-technician",
"title": "microelectronics maintenance technician",
"version": "0.1.0",
"layer": "core",
"language": "en",
"generated": "2026-07-07",
"ids": {
"esco_uri": "http://data.europa.eu/esco/occupation/2168e49d-e58a-43ec-a15e-8e173939b255",
"esco_code": "3114.1.7",
"isco_group": "3114",
"onet_soc": "49-9041.00",
"crosswalk_match": "closeMatch"
},
"sources": [
{
"name": "ESCO",
"version": "1.2.1",
"url": "https://esco.ec.europa.eu/"
},
{
"name": "O*NET",
"version": "30.3",
"url": "https://www.onetcenter.org/",
"license": "CC BY 4.0"
}
],
"attribution": "This package includes information from the O*NET Database (v30.3) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), CC BY 4.0. skillfactor is not endorsed by USDOL/ETA. ESCO data (v1.2.1) (c) European Union, used per the ESCO download conditions: https://esco.ec.europa.eu/en/use-esco/download",
"counts": {
"tasks": 16,
"dwas": 22,
"skills_essential": 22,
"skills_optional": 4,
"software": 15
},
"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": 8
},
"jeremylongshore/claude-code-plugins-plus-skills": {
"repo": "https://github.com/jeremylongshore/claude-code-plugins-plus-skills",
"commit": "e112938a",
"license": "MIT",
"skills": 11
},
"ruvnet/claude-code-flow": {
"repo": "https://github.com/ruvnet/claude-code-flow",
"commit": "73914bd",
"license": "MIT",
"skills": 4
},
"ruvnet/ruflo": {
"repo": "https://github.com/ruvnet/ruflo",
"commit": "73914bd",
"license": "MIT",
"skills": 4
},
"affaan-m/everything-claude-code": {
"repo": "https://github.com/affaan-m/everything-claude-code",
"commit": "ed38744",
"license": "MIT",
"skills": 3
},
"muratcankoylan/Agent-Skills-for-Context-Engineering": {
"repo": "https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering",
"commit": "c578e85",
"license": "MIT",
"skills": 1
},
"davila7/claude-code-templates": {
"repo": "https://github.com/davila7/claude-code-templates",
"commit": "fa79251",
"license": "MIT",
"skills": 6
},
"basicmachines-co/basic-memory": {
"repo": "https://github.com/basicmachines-co/basic-memory",
"commit": "53da71c",
"license": "custom (see upstream LICENSE)",
"skills": 4
},
"mukul975/Anthropic-Cybersecurity-Skills": {
"repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
"commit": "673da1f",
"license": "Apache-2.0",
"skills": 4
},
"brycewang-stanford/Auto-Empirical-Research-Skills": {
"repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills",
"commit": "85bf545",
"license": "CC-BY-4.0",
"skills": 3
},
"nWave-ai/nWave": {
"repo": "https://github.com/nWave-ai/nWave",
"commit": "1d0f13c",
"license": "MIT",
"skills": 1
},
"DheerG/swarms": {
"repo": "https://github.com/DheerG/swarms",
"commit": "617900e",
"license": "MIT",
"skills": 1
},
"inkline/inkline": {
"repo": "https://github.com/inkline/inkline",
"commit": "fcc2bf4",
"license": "no explicit license \u2014 referenced by link only",
"skills": 1
},
"nicobailon/visual-explainer": {
"repo": "https://github.com/nicobailon/visual-explainer",
"commit": "528b71f",
"license": "MIT",
"skills": 1
},
"Leonxlnx/taste-skill": {
"repo": "https://github.com/Leonxlnx/taste-skill",
"commit": "b177427",
"license": "MIT",
"skills": 1
},
"nexu-io/open-design": {
"repo": "https://github.com/nexu-io/open-design",
"commit": "4b66023",
"license": "Apache-2.0",
"skills": 2
},
"eduardo-sl/go-agent-skills": {
"repo": "https://github.com/eduardo-sl/go-agent-skills",
"commit": "3c45d7f",
"license": "MIT",
"skills": 1
},
"Orchestra-Research/AI-research-SKILLs": {
"repo": "https://github.com/Orchestra-Research/AI-research-SKILLs",
"commit": "773a529",
"license": "MIT",
"skills": 1
},
"zechenzhangAGI/AI-research-SKILLs": {
"repo": "https://github.com/zechenzhangAGI/AI-research-SKILLs",
"commit": "773a529",
"license": "MIT",
"skills": 1
},
"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
},
"dotnet/skills": {
"repo": "https://github.com/dotnet/skills",
"commit": "79a2ada",
"license": "MIT",
"skills": 1
},
"giuseppe-trisciuoglio/developer-kit": {
"repo": "https://github.com/giuseppe-trisciuoglio/developer-kit",
"commit": "306f428",
"license": "MIT",
"skills": 2
},
"vibeeval/vibecosystem": {
"repo": "https://github.com/vibeeval/vibecosystem",
"commit": "cea9462",
"license": "MIT",
"skills": 2
},
"alirezarezvani/claude-skills": {
"repo": "https://github.com/alirezarezvani/claude-skills",
"commit": "0241f43",
"license": "MIT",
"skills": 1
},
"zebbern/claude-code-guide": {
"repo": "https://github.com/zebbern/claude-code-guide",
"commit": "d2c5280",
"license": "MIT",
"skills": 1
},
"davepoon/buildwithclaude": {
"repo": "https://github.com/davepoon/buildwithclaude",
"commit": "3c94e0c",
"license": "MIT",
"skills": 4
},
"codeaholicguy/ai-devkit": {
"repo": "https://github.com/codeaholicguy/ai-devkit",
"commit": "c037861",
"license": "no explicit license \u2014 referenced by link only",
"skills": 1
},
"plasma-ai/fractal": {
"repo": "https://github.com/plasma-ai/fractal",
"commit": "73ce05a",
"license": "Apache-2.0",
"skills": 1
},
"aaron-he-zhu/aaron-marketing-skills": {
"repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills",
"commit": "b7b0b9f",
"license": "Apache-2.0",
"skills": 1
},
"shanraisshan/claude-code-best-practice": {
"repo": "https://github.com/shanraisshan/claude-code-best-practice",
"commit": "67c2696",
"license": "MIT",
"skills": 1
},
"qdrant/skills": {
"repo": "https://github.com/qdrant/skills",
"commit": "2a06cb1",
"license": "Apache-2.0",
"skills": 1
},
"parcadei/Continuous-Claude-v3": {
"repo": "https://github.com/parcadei/Continuous-Claude-v3",
"commit": "d07ff4b",
"license": "MIT",
"skills": 1
},
"microsoft/power-platform-skills": {
"repo": "https://github.com/microsoft/power-platform-skills",
"commit": "0d7ed9a",
"license": "MIT",
"skills": 1
}
},
"total_skills": 80,
"tiers": {
"core": 18,
"adjacent": 62
}
},
"provenance": {
"items": {
"esco": 27,
"onet": 54,
"jobads": 106,
"wiki_ai": 0,
"anthropic": 5,
"ai_skills": 180,
"stackx": 0
},
"share_percent": {
"esco": 7.3,
"onet": 14.5,
"jobads": 28.5,
"wiki_ai": 0.0,
"anthropic": 1.3,
"ai_skills": 48.4,
"stackx": 0.0
},
"method": "content items per source category"
},
"collar": "white",
"computer_work": true
}

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# External AI agent skills — microelectronics-maintenance-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 |
|---|---|---|---|
| `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) |
| `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) |
## 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) |
| `vector-memory` | core | HNSW vector search for pattern similarity retrieval and knowledge graph maintenance with PageRank scoring, community detection, and 3-tier memory management. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/methodologies/ruflo/skills/vector-memory) |
| `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) |
| `nsight-profiler` | adjacent | 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) |
| `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) |
| `ipa-transcription-phonological` | adjacent | Transcribe speech using International Phonetic Alphabet and analyze sound systems including phonotactics and phonological rules | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/social-sciences-humanities/humanities/skills/ipa-transcription-phonological) |
| `linker-script` | adjacent | GNU linker script generation and optimization for embedded systems. Expert skill for memory layout definition, section placement, multi-image linking, and memory protection configuration. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/embedded-systems/skills/linker-script) |
| `knowledge-extractor` | adjacent | Extract tribal knowledge from code, documentation, and commit history to preserve institutional memory | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/code-migration-modernization/skills/knowledge-extractor) |
## Source: aaron-he-zhu/aaron-marketing-skills
- Repository: [https://github.com/aaron-he-zhu/aaron-marketing-skills](https://github.com/aaron-he-zhu/aaron-marketing-skills) (commit `b7b0b9f`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory-management` | adjacent | Use when the user asks to "remember project context", review saved findings, initialize runtime memory, archive stale work, reconcile notes, or erase a subject; manages authorized HOT/WARM/COLD working memory across all disciplines while … | [source](https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/b7b0b9f/protocol/memory-management) |
## Source: affaan-m/everything-claude-code
- Repository: [https://github.com/affaan-m/everything-claude-code](https://github.com/affaan-m/everything-claude-code) (commit `ed38744`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `agentic-os` | core | 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) |
| `knowledge-ops` | adjacent | Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/knowledge-ops) |
## Source: alirezarezvani/claude-skills
- Repository: [https://github.com/alirezarezvani/claude-skills](https://github.com/alirezarezvani/claude-skills) (commit `0241f43`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `ceo-advisor` | adjacent | Executive leadership guidance for strategic decision-making, organizational development, and stakeholder management. Use when planning strategy, preparing board presentations, managing investors, developing organizational culture, making … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/c-level-advisor/skills/ceo-advisor) |
## Source: basicmachines-co/basic-memory
- Repository: [https://github.com/basicmachines-co/basic-memory](https://github.com/basicmachines-co/basic-memory) (commit `53da71c`, retrieved 2026-07-14)
- License: custom (see upstream LICENSE)
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory-tasks` | core | Task management via Basic Memory schemas: create, track, and resume structured tasks that survive context compaction. Uses BM's schema system for uniform notes queryable through the knowledge graph. | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-tasks) |
| `memory-continue` | adjacent | Resume prior work by rebuilding context from the Basic Memory knowledge graph — pick up where you left off using memory:// URLs, recent activity, and search. Use when starting a session or when the user says 'continue with...', 'back … | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-continue) |
| `memory-literary-analysis` | adjacent | Analyze a complete literary work into a structured Basic Memory knowledge graph. Covers schema design, entity seeding, chapter-by-chapter processing, cross-referencing, validation, and visualization. | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-literary-analysis) |
| `memory-onboarding` | adjacent | Guide someone new to Basic Memory through designing and building a complete personal knowledge system — interview them about what they want to track, propose a structure, build it with schemas and instruction notes, teach them to use it, … | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-onboarding) |
## 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 |
|---|---|---|---|
| `code-review-excellence` | core | 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) |
| `system-profile` | adjacent | 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) |
| `obsidian-project-memory` | adjacent | This skill should be used when the user asks to maintain an Obsidian knowledge base for a research project, import an existing research repository into Obsidian, keep project memory or daily notes synchronized, summarize project context … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/33-Galaxy-Dawn-claude-scholar/skills/obsidian-project-memory) |
## Source: codeaholicguy/ai-devkit
- Repository: [https://github.com/codeaholicguy/ai-devkit](https://github.com/codeaholicguy/ai-devkit) (commit `c037861`, retrieved 2026-07-14)
- License: no explicit license — referenced by link only
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory` | adjacent | AI DevKit · Use the memory CLI as a durable knowledge layer. Search before non-trivial work, store verified reusable knowledge, update stale entries, and avoid saving transcripts, secrets, or one-off task progress. | [source](https://github.com/codeaholicguy/ai-devkit/tree/c037861/skills/memory) |
## Source: davepoon/buildwithclaude
- Repository: [https://github.com/davepoon/buildwithclaude](https://github.com/davepoon/buildwithclaude) (commit `3c94e0c`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `google-calendar-automation` | adjacent | Automate Google Calendar events, scheduling, availability checks, and attendee management via Rube MCP (Composio). Create events, find free slots, manage attendees, and list calendars programmatically. | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/google-calendar-automation) |
| `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) |
| `outlook-automation` | adjacent | 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) |
| `outlook-calendar-automation` | adjacent | 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) |
## 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 |
|---|---|---|---|
| `agent-memory-mcp` | core | A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions). | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/agent-memory-mcp) |
| `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) |
| `code-review-excellence` | adjacent | Transform code reviews from gatekeeping to knowledge sharing through constructive feedback, systematic analysis, and collaborative improvement. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/productivity/code-review-excellence) |
| `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: DheerG/swarms
- Repository: [https://github.com/DheerG/swarms](https://github.com/DheerG/swarms) (commit `617900e`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `workflow-rules` | core | Returns the universal governance spec for swarm team runs — hard rules, briefing templates, gate presentation contract, launch mechanics, and pulse setup. The canonical source: invoked by launch.md at Step 1 and by user-authored shortcut … | [source](https://github.com/DheerG/swarms/tree/617900e/skills/workflow-rules) |
## 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` | adjacent | Test C# MCP servers at multiple levels: unit tests for individual tools and integration tests using the MCP client SDK. USE FOR: unit testing MCP tool methods, integration testing with in-memory MCP client/server, end-to-end testing via … | [source](https://github.com/dotnet/skills/tree/79a2ada/plugins/dotnet-ai/skills/mcp-csharp-test) |
## Source: eduardo-sl/go-agent-skills
- Repository: [https://github.com/eduardo-sl/go-agent-skills](https://github.com/eduardo-sl/go-agent-skills) (commit `3c45d7f`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `go-troubleshooting` | adjacent | Diagnose runtime problems in Go programs: panics and stack traces, deadlocks, goroutine leaks, memory leaks, OOM kills, race reports, and debugging with delve and pprof. Use when: "debug this panic", "read this stack trace", "deadlock", … | [source](https://github.com/eduardo-sl/go-agent-skills/tree/3c45d7f/skills/(safety)/go-troubleshooting) |
## Source: 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` | adjacent | 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: giuseppe-trisciuoglio/developer-kit
- Repository: [https://github.com/giuseppe-trisciuoglio/developer-kit](https://github.com/giuseppe-trisciuoglio/developer-kit) (commit `306f428`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory-md-management` | adjacent | Provides comprehensive memory file management capabilities including auditing, quality assessment, and targeted improvements for files such as CLAUDE.md. Use when user asks to check, audit, update, improve, fix, maintain, or validate … | [source](https://github.com/giuseppe-trisciuoglio/developer-kit/tree/306f428/plugins/developer-kit-core/skills/memory-md-management) |
| `graalvm-native-image` | adjacent | 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: inkline/inkline
- Repository: [https://github.com/inkline/inkline](https://github.com/inkline/inkline) (commit `fcc2bf4`, retrieved 2026-07-14)
- License: no explicit license — referenced by link only
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `starter-templates` | adjacent | Anatomy and maintenance of inkline-starter-* repos and examples — the two starter flavors, what every starter must include, per-framework specifics, and the clone-to-rendered-component-under-2-minutes bar. Use when creating or maintaining … | [source](https://github.com/inkline/inkline/tree/fcc2bf4/.claude/skills/starter-templates) |
## 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) |
| `granola-common-errors` | core | Troubleshoot common Granola errors \u2014 audio capture failures, transcription\ \ issues,\ncalendar sync problems, and integration errors. Platform-specific fixes\ \ for macOS and Windows.\nTrigger: \"granola error\", \"granola not … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/granola-pack/skills/granola-common-errors) |
| `memorystore-config` | adjacent | Configure memorystore config operations. Auto-activating skill for GCP Skills. Triggers on: memorystore config, memorystore config Part of the GCP Skills skill category. Use when configuring systems or services. Trigger with phrases like … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/skills/14-gcp-skills/memorystore-config) |
| `twinmind-reference-architecture` | adjacent | Production architecture for meeting AI systems using TwinMind: transcription pipeline, memory vault, action item workflow, and calendar integration. Use when implementing reference architecture, or managing TwinMind meeting AI operations. … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/twinmind-pack/skills/twinmind-reference-architecture) |
| `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) |
| `replit-advanced-troubleshooting` | adjacent | Debug hard Replit issues: container lifecycle, Nix build failures, deployment crashes, and memory leaks. Use when standard troubleshooting fails, investigating intermittent failures, or diagnosing complex Replit platform behavior. Trigger … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/replit-pack/skills/replit-advanced-troubleshooting) |
| `mnemos` | adjacent | 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` | adjacent | 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` | adjacent | 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) |
| `twinmind-data-handling` | adjacent | Handle TwinMind meeting data with GDPR compliance: transcript storage, memory vault management, data export, and deletion policies. Use when implementing data handling, or managing TwinMind meeting AI operations. Trigger with phrases like … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/twinmind-pack/skills/twinmind-data-handling) |
## 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: microsoft/power-platform-skills
- Repository: [https://github.com/microsoft/power-platform-skills](https://github.com/microsoft/power-platform-skills) (commit `0d7ed9a`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `add-excel` | adjacent | Adds Excel Online (Business) connector to a Power Apps code app. Use when reading or writing Excel workbook data from OneDrive or SharePoint. | [source](https://github.com/microsoft/power-platform-skills/tree/0d7ed9a/plugins/code-apps/skills/add-excel) |
## 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 |
|---|---|---|---|
| `performing-plc-firmware-security-analysis` | core | This skill covers analyzing Programmable Logic Controller (PLC) firmware for security vulnerabilities including hardcoded credentials, insecure update mechanisms, backdoor functions, memory corruption flaws, and undocumented debug … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/performing-plc-firmware-security-analysis) |
| `performing-thick-client-application-penetration-test` | core | Conduct a thick client application penetration test to identify insecure local storage, hardcoded credentials, DLL hijacking, memory manipulation, and insecure API communication in desktop applications using dnSpy, Procmon, and Burp Suite. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/performing-thick-client-application-penetration-test) |
| `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-memory-dumps-with-volatility` | adjacent | Analyzes RAM memory dumps from compromised systems using the Volatility framework to identify malicious processes, injected code, network connections, loaded modules, and extracted credentials. Supports Windows, Linux, and macOS memory … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-memory-dumps-with-volatility) |
## Source: muratcankoylan/Agent-Skills-for-Context-Engineering
- Repository: [https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering](https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering) (commit `c578e85`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory-systems` | core | This skill should be used for persistent semantic memory in agent systems: cross-session knowledge retention, entity tracking, temporal validity, graph or vector retrieval, memory consolidation, and memory benchmark selection. Route … | [source](https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/c578e85/skills/memory-systems) |
## 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 |
|---|---|---|---|
| `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) |
| `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: 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` | core | 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: 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 |
|---|---|---|---|
| `presenting-conference-talks` | adjacent | Generates conference presentation slides (Beamer LaTeX PDF and editable PPTX) from a compiled paper with speaker notes and talk script. Use when preparing oral talks, spotlight presentations, or invited talks for ML and systems conferences. | [source](https://github.com/Orchestra-Research/AI-research-SKILLs/tree/773a529/20-ml-paper-writing/presenting-conference-talks) |
## Source: parcadei/Continuous-Claude-v3
- Repository: [https://github.com/parcadei/Continuous-Claude-v3](https://github.com/parcadei/Continuous-Claude-v3) (commit `d07ff4b`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `system-overview` | adjacent | Show users how Continuous Claude works - the opinionated setup with hooks, memory, and coordination | [source](https://github.com/parcadei/Continuous-Claude-v3/tree/d07ff4b/.claude/skills/system_overview) |
## Source: plasma-ai/fractal
- Repository: [https://github.com/plasma-ai/fractal](https://github.com/plasma-ai/fractal) (commit `73ce05a`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory` | adjacent | How to maintain node memory well -- the node's persistent knowledge store. | [source](https://github.com/plasma-ai/fractal/tree/73ce05a/fractal/_node/skills/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` | adjacent | 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` | core | Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/agentdb-memory-patterns) |
| `memory-management` | core | AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, … | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/memory-management) |
| `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) |
| `Hooks Automation` | adjacent | Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$post task hooks, session management, Git integration, memory coordination, and neural pattern training … | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/hooks-automation) |
## Source: ruvnet/ruflo
- Repository: [https://github.com/ruvnet/ruflo](https://github.com/ruvnet/ruflo) (commit `73914bd`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `AgentDB Memory Patterns` | core | Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/agentdb-memory-patterns) |
| `memory-management` | core | AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, … | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/memory-management) |
| `V3 Memory Unification` | adjacent | Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend). | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/v3-memory-unification) |
| `Hooks Automation` | adjacent | Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$post task hooks, session management, Git integration, memory coordination, and neural pattern training … | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/hooks-automation) |
## Source: shanraisshan/claude-code-best-practice
- Repository: [https://github.com/shanraisshan/claude-code-best-practice](https://github.com/shanraisshan/claude-code-best-practice) (commit `67c2696`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `presentation-structure` | adjacent | Knowledge about the presentation slide format, weight system, navigation, and section structure | [source](https://github.com/shanraisshan/claude-code-best-practice/tree/67c2696/.claude/skills/presentation/presentation-structure) |
## 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` | adjacent | 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: vibeeval/vibecosystem
- Repository: [https://github.com/vibeeval/vibecosystem](https://github.com/vibeeval/vibecosystem) (commit `cea9462`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `knowledge-management` | adjacent | Proje bilgisini 4 katmanli yapida organize et. Aktif projeler, sorumluluk alanlari, referans kaynaklar ve arsiv. Progressive summarization ile bilgiyi katman katman ozumse. Second brain pattern'i ile codebase bilgisini yapilandir. | [source](https://github.com/vibeeval/vibecosystem/tree/cea9462/skills/knowledge-management) |
| `knowledge-graph` | adjacent | Knowledge graph integration for token-efficient codebase understanding. Uses codebase-memory MCP for AST indexing, dependency graphs, and smart context selection. 6-71x token savings vs raw file reading. | [source](https://github.com/vibeeval/vibecosystem/tree/cea9462/skills/knowledge-graph) |
## 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 |
|---|---|---|---|
| `presenting-conference-talks` | adjacent | Generates conference presentation slides (Beamer LaTeX PDF and editable PPTX) from a compiled paper with speaker notes and talk script. Use when preparing oral talks, spotlight presentations, or invited talks for ML and systems conferences. | [source](https://github.com/zechenzhangAGI/AI-research-SKILLs/tree/773a529/20-ml-paper-writing/presenting-conference-talks) |

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# Market evidence report — microelectronics-maintenance-technician
Source: **8 real job ads** (JSearch API, countries: us 8), extracted into the MSSQL evidence store; as of 2026-07-17.
This report contains extracted, aggregated facts only — no ad text is
reproduced (copyright / platform terms).
## Seniority distribution
| Seniority | Ads | Share |
|---|---|---|
| mid | 7 | 88 % |
| junior | 1 | 12 % |
## Tools — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
## Hard skills — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | preventive maintenance | 7 | 88 % |
| 2 | electrical troubleshooting | 5 | 62 % |
| 3 | mechanical repair | 5 | 62 % |
| 4 | blueprint reading | 4 | 50 % |
| 5 | schematic interpretation | 3 | 38 % |
## Methods — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
## Responsibilities — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | routine maintenance | 3 | 38 % |
## Regional breakdown
> **Corpus note:** 8 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** — 8 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 |
|---|---|
| Industrial Maintenance Technician | 6 |
| Entry-Level Maintenance Mechanic / Industrial Maintenance Technician | 1 |
| Industrial Maintenance Technician (1st/2nd shift) | 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.

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# Occupation profile — microelectronics maintenance technician
- **ESCO URI:** http://data.europa.eu/esco/occupation/2168e49d-e58a-43ec-a15e-8e173939b255
- **ESCO code:** 3114.1.7
- **ISCO-08 group:** 3114 — Electronics engineering technicians
- **O*NET-SOC:** 49-9041.00 — Industrial Machinery Mechanics (match: closeMatch)
## Description (ESCO)
Microelectronics maintenance technicians are responsible for carrying out preventive and corrective activities and troubleshooting of microelectronic systems and devices. They diagnose and detect malfunctions in microelectronic systems, products, and components and remove, replace, or repair these components when necessary. They execute preventative equipment maintenance tasks.
## Definition
nan
## Alternative labels
- microelectronics maintenance and repair technician
- industrial maintenance technician
- microelectronic devices maintenance technician
- maintenance and repair technician
- microelectronic systems maintenance technician

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# Competences — microelectronics maintenance technician
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/2168e49d-e58a-43ec-a15e-8e173939b255).
## Essential
- **CAD software** (knowledge)
- **CAM software** (knowledge)
- **conduct inter-shift communication** (skill/competence)
- **conduct routine machinery checks** (skill/competence)
- **electronics** (knowledge)
- **environmental legislation** (knowledge)
- **integrated circuits** (knowledge)
- **maintain microelectronics** (skill/competence)
- **mathematics** (knowledge)
- **mechanics** (knowledge)
- **microassembly** (knowledge)
- **microelectronics** (knowledge)
- **physics** (knowledge)
- **quality assurance procedures** (knowledge)
- **quality standards** (knowledge)
- **robotics** (knowledge)
- **solder components onto electronic board** (skill/competence)
- **surface-mount technology** (knowledge)
- **test microelectronics** (skill/competence)
- **troubleshoot** (skill/competence)
- **use technical documentation** (skill/competence)
- **work safely with machines** (skill/competence)
## Optional
- automatic control system (knowledge)
- collaborate with engineers (skill/competence)
- firmware (knowledge)
- program firmware (skill/competence)
<!-- market-evidence -->
## Market evidence (job-ad analysis, 8 ads, as of 2026-07-17)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Hard skills
- preventive maintenance — **88 %**
- mechanical repair — **62 %**
- electrical troubleshooting — **62 %**
- blueprint reading — **50 %**
- schematic interpretation — **38 %**
- equipment installation — **25 %**
- hydraulic systems knowledge — **25 %**
- hydraulic systems maintenance — **25 %**
- mechanical troubleshooting — **25 %**
- pneumatic systems knowledge — **25 %**
- pneumatic systems maintenance — **25 %**
- pneumatic systems repair — **12 %**
- pneumatic systems troubleshooting — **12 %**
- equipment setup — **12 %**
- equipment troubleshooting — **12 %**
- equipment reassembly — **12 %**
- equipment repair — **12 %**
- mechanical maintenance — **12 %**
- preventative maintenance — **12 %**
- hydraulic systems troubleshooting — **12 %**
- industrial maintenance — **12 %**
- conveyor system repair — **12 %**
- equipment disassembly — **12 %**
- equipment inspection — **12 %**
- electronic troubleshooting — **12 %**
- electrical maintenance — **12 %**
- electrical systems knowledge — **12 %**
- electrical systems troubleshooting — **12 %**
- schematic reading — **12 %**
- welding — **12 %**
### Methods
- computerized maintenance management system (CMMS) — **12 %**
- continuous improvement — **12 %**
- preventive maintenance programs — **12 %**
- osha standards compliance — **12 %**
### Responsibilities
- routine maintenance — **38 %**
- equipment repair — **25 %**
- maintenance record keeping — **25 %**
- equipment troubleshooting — **25 %**
- equipment inspection — **25 %**
- corrective action implementation — **12 %**
- downtime minimization — **12 %**
- equipment installation — **12 %**
- equipment maintenance — **12 %**
- equipment operation — **12 %**
- equipment performance improvement — **12 %**
- inventory management — **12 %**
- issue identification — **12 %**
- machine part assembly — **12 %**
- machine support — **12 %**
- machinery commissioning — **12 %**
- maintaining records — **12 %**
- maintenance and repair — **12 %**
- maintenance documentation — **12 %**
- continuous improvement support — **12 %**
- conducting inspections — **12 %**
- breakdown response — **12 %**
- emergency maintenance — **12 %**
- employee training — **12 %**
- equipment diagnosis — **12 %**
- housekeeping — **12 %**
- safety compliance — **12 %**
- safety policy compliance — **12 %**
- safety procedure adherence — **12 %**
- structure welding — **12 %**
- system repair — **12 %**
- technical assistance — **12 %**
- tool inventory management — **12 %**
- troubleshooting — **12 %**
- troubleshooting issues — **12 %**
- quality checks — **12 %**
- records maintenance — **12 %**
- repair communication — **12 %**
- repairing equipment — **12 %**
- routine inspections — **12 %**
- waste disposal — **12 %**
- work environment maintenance — **12 %**
<!-- market-evidence -->

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# Tasks & work activities — microelectronics maintenance technician
Source: O*NET 30.3, occupation 49-9041.00 (Industrial Machinery Mechanics).
## Task statements
- **[Core]** Disassemble machinery or equipment to remove parts and make repairs.
- **[Core]** Repair or replace broken or malfunctioning components of machinery or equipment.
- **[Core]** Repair or maintain the operating condition of industrial production or processing machinery or equipment.
- **[Core]** Examine parts for defects, such as breakage or excessive wear.
- **[Core]** Reassemble equipment after completion of inspections, testing, or repairs.
- **[Core]** Observe and test the operation of machinery or equipment to diagnose malfunctions, using voltmeters or other testing devices.
- **[Core]** Operate newly repaired machinery or equipment to verify the adequacy of repairs.
- **[Core]** Clean, lubricate, or adjust parts, equipment, or machinery.
- **[Core]** Analyze test results, machine error messages, or information obtained from operators to diagnose equipment problems.
- **[Core]** Record repairs and maintenance performed.
- **[Core]** Study blueprints or manufacturers' manuals to determine correct installation or operation of machinery.
- **[Core]** Record parts or materials used and order or requisition new parts or materials, as necessary.
- **[Core]** Cut and weld metal to repair broken metal parts, fabricate new parts, or assemble new equipment.
- **[Core]** Demonstrate equipment functions and features to machine operators.
- **[Core]** Enter codes and instructions to program computer-controlled machinery.
- **[Supplemental]** Assign schedules to work crews.
## Detailed work activities
- Adjust equipment to ensure optimal performance.
- Analyze test or performance data to assess equipment operation.
- Assign duties or work schedules to employees.
- Clean equipment, parts, or tools to repair or maintain them in good working order.
- Cut materials according to specifications or needs.
- Disassemble equipment for maintenance or repair.
- Enter codes or other information into computers.
- Inspect mechanical equipment to locate damage, defects, or wear.
- Interpret blueprints, specifications, or diagrams to inform installation, development or operation activities.
- Lubricate equipment to allow proper functioning.
- Maintain repair or maintenance records.
- Maintain work equipment or machinery.
- Observe equipment in operation to detect potential problems.
- Operate welding equipment.
- Order materials, supplies, or equipment.
- Plan employee work schedules.
- Reassemble equipment after repair.
- Record information about parts, materials or repair procedures.
- Repair worn, damaged, or defective mechanical parts.
- Replace worn, damaged, or defective mechanical parts.
- Test mechanical equipment to ensure proper functioning.
- Train others in operational procedures.

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# Tools & technology — microelectronics maintenance technician
Source: O*NET 30.3 'Software Skills' for 49-9041.00.
| Software | Category | Hot technology |
|---|---|---|
| Microsoft Outlook | Electronic mail software | yes |
| SAP software | Enterprise resource planning ERP software | yes |
| Microsoft Office software | Office suite software | yes |
| Microsoft PowerPoint | Presentation software | yes |
| Microsoft Excel | Spreadsheet software | yes |
| Microsoft Word | Word processing software | yes |
| Extranet Machine Tools Suite | Computer aided manufacturing CAM software | |
| Maintenance planning and control software | Data base user interface and query software | |
| Maintenance management software | Facilities management software | |
| BIT Corp ProMACS PLC | Industrial control software | |
| KEYENCE PLC Ladder Logic | Industrial control software | |
| Programmable logic controller PLC software | Industrial control software | |
| Supervisory control and data acquisition SCADA software | Industrial control software | |
| Web browser software | Internet browser software | |
| Inventory tracking software | Inventory management software | |
<!-- market-evidence -->
## Market evidence (job-ad analysis, 8 ads, as of 2026-07-17)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Tools
- welding equipment — **12 %**
- scissor lifts — **12 %**
- Movex — **12 %**
- voltage meters — **12 %**
- forklifts — **12 %**
- hand tools — **12 %**
- overhead cranes — **12 %**
- PLC (Programmable Logic Controller) — **12 %**
- plc troubleshooting tools — **12 %**
- power tools — **12 %**
- electrical testing equipment — **12 %**
- cmms (computerized maintenance management systems) — **12 %**
- boom lifts — **12 %**
<!-- market-evidence -->