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microsystem-engineer/references/ai-skills.md
skillfactor-pipeline c79bce2456 feat: microsystem-engineer skill package v0.1.0
2026-08-14 16:59:12 +02:00

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External AI agent skills — microsystem-engineer

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 (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
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

Source: a5c-ai/babysitter

Skill Tier What it adds Upstream
A/B Test Design core Statistical experiment design and analysis capabilities for product experimentation source
growing-outside-in-systems core 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
quantitative-methods core Design and execute statistical analyses including regression modeling, hypothesis testing, power analysis, and robustness checks using R, Stata, SPSS, or Python source
simulation-experiment-designer core Simulation experimental design skill for efficient scenario analysis and optimization. source
autonomous-research-engineering core Autonomous research engineering — web search orchestration, source synthesis, hypothesis formation, and structured research report generation. source
context-engineering core Context window monitoring and budget management. Keeps orchestrator at 15-30% context usage while subagents get full 200k tokens. Provides warnings at thresholds, context-aware summarization triggers, and wave-level budget planning. source
A/B Test Statistical Analyzer core Performs statistical analysis for A/B testing experiments source
statistical-testing core Apply statistical hypothesis testing, significance analysis, A/B test evaluation, and distribution comparisons for data science workflows. source
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
benchmark-suite-manager core Manage benchmarks for algorithm engineering experiments and evaluations source
chaos-runner core Run chaos engineering experiments using Chaos Monkey, Litmus, or Gremlin source
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

Source: AgriciDaniel/claude-blog

Skill Tier What it adds Upstream
blog-strategy core Blog strategy development including topic cluster architecture with hub-and-spoke design, audience mapping, competitive landscape analysis, AI citation surface strategy across ChatGPT/Perplexity/AI Overviews, distribution channel planning … source

Source: alirezarezvani/claude-skills

Skill Tier What it adds Upstream
chaos-engineering core Use when planning, running, or learning from chaos engineering experiments. Triggers on "chaos experiment", "fault injection", "gameday", "resilience test", "blast radius", "steady state", "abort criteria", "Chaos Toolkit", "Chaos Mesh", … source

Source: basicmachines-co/basic-memory

Skill Tier What it adds Upstream
bm-decide core Capture a durable engineering decision in Basic Memory with rationale, alternatives, consequences, and affected work. source

Source: brycewang-stanford/Auto-Empirical-Research-Skills

Skill Tier What it adds Upstream
statistics-skills core 10 statistical analysis skills. Trigger: statistical tests, Bayesian analysis, hypothesis testing, sampling. Design: method guides covering assumptions, code, and result interpretation. source
deep-research-skills core 13 deep research & systematic reviews skills. Trigger: systematic reviews, multi-source synthesis, comprehensive literature surveys. Design: multi-step research protocols with quality assessment and evidence grading. source
action-research-guide core Design and conduct action research and participatory studies source
claude-scientific-guide core Ready-to-use agent skills for scientific research and engineering source
qualitative-research-guide core Design and conduct qualitative research using grounded theory and case studies source
academic-baseline core Use when working on any empirical academic research context — paper writing, data analysis, literature review, or any task involving citations, results, or publication artifacts. Establishes non-negotiable principles that govern all other … source
research-ideation core This skill should be used when the user asks to "brainstorm research ideas", "use 5W1H framework", "identify research gaps", "conduct gap analysis", "start research project", "conduct literature review", "define research question", "select … source
mle-agent-guide core Intelligent companion for ML engineering with arXiv integration source
physics-skills core 5 physics & astrophysics skills. Trigger: physics simulations, astronomical data, computational physics. Design: domain databases (NASA ADS, arXiv) and simulation tool guides. source
econ-audit core Audit economic analysis outputs (fiscal briefings, macro briefings, market research, longlists, and other quantitative economic documents) against methodology standards, academic literature, and common errors. Runs structured checks across … source
game-theory-paper-writer core Generate, continue, revise, polish, and stress-test game theory research papers. Use when the user provides a game theory topic, phenomenon, draft, outline, model idea, literature anchor, reviewer comments, or asks for 博弈论论文生成, 选题建模, 文献迁移, … source
results-analysis core This skill should be used when the user asks to "analyze experimental results", "run strict statistical analysis", "compare model performance", "generate scientific figures", "check significance", "do ablation analysis", or mentions … source

Source: code-yeongyu/oh-my-openagent

Skill Tier What it adds Upstream
debugging core 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

Source: davila7/claude-code-templates

Skill Tier What it adds Upstream
cobrapy core Constraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology and metabolic engineering analysis. source
scientific-critical-thinking core Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis of scientific claims. source
pymoo core Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems. source
pufferlib core This skill should be used when working with reinforcement learning tasks including high-performance RL training, custom environment development, vectorized parallel simulation, multi-agent systems, or integration with existing RL … source
statistical-analysis core Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, APA reporting, for academic research. source
latex-posters core Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, … source
simpy core Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, … source
context-window-management core Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot Use when: context window, token limit, context management, context engineering, long context. source
exploratory-data-analysis core Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. … source
Excel Analysis core Analyze Excel spreadsheets, create pivot tables, generate charts, and perform data analysis. Use when analyzing Excel files, spreadsheets, tabular data, or .xlsx files. source

Source: foryourhealth111-pixel/Vibe-Skills

Skill Tier What it adds Upstream
scientific-critical-thinking core Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best … source
designing-experiments core Design experiments and quasi-experiments before analysis. Use when choosing study design, treatment/control structure, outcomes, assumptions, validation plans after scientific experiment failure, or which of DiD, ITS, synthetic control, or … source
statistical-analysis core Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, APA reporting, for academic research. source
matlab core MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential … source
exploratory-data-analysis core Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. … source
scholar-evaluation core Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and … source

Source: HeshamFS/materials-simulation-skills

Skill Tier What it adds Upstream
parameter-optimization core Explore and optimize simulation parameters via design of experiments (DOE), sensitivity analysis, and optimizer selection — generate Latin Hypercube, quasi-random, or factorial sample plans, rank parameter influence with sensitivity … source

Source: hypnguyen1209/offensive-claude

Skill Tier What it adds Upstream
malware-analysis core Use when reverse-engineering or detecting malware — static triage + capa/YARA-X, emulation/DBI/.NET unpacking, dynamic/fileless/Volatility 3 memory analysis, C2 config extraction (Cobalt Strike/CAPE), C2 traffic detection (JA4+, beaconing) source

Source: infrasity-labs/dev-gtm-claude-skills

Skill Tier What it adds Upstream
blog-strategy core Blog strategy development including topic cluster architecture with hub-and-spoke design, audience mapping, competitive landscape analysis, AI citation surface strategy across ChatGPT/Perplexity/AI Overviews, distribution channel planning … source

Source: jeremylongshore/claude-code-plugins-plus-skills

Skill Tier What it adds Upstream
running-chaos-tests core Execute chaos engineering experiments to test system resilience. Use when performing specialized testing. Trigger with phrases like "run chaos tests", "test resilience", or "inject failures". source
twinmind-reference-architecture core Production architecture for meeting AI systems using TwinMind: transcription pipeline, memory vault, action item workflow, and calendar integration. Use when implementing reference architecture, or managing TwinMind meeting AI operations. … source

Source: JimLiu/baoyu-design

Skill Tier What it adds Upstream
baoyu-design core Create polished design artifacts as self-contained HTML: UI mockups, interactive prototypes, wireframes, landing pages, dashboards, app screens, mobile apps, slide decks (a.k.a. PPT / PowerPoint presentations), and visual explorations. Use … source

Source: K-Dense-AI/claude-scientific-skills

Skill Tier What it adds Upstream
hugging-science core Use when the user is doing AI/ML work in a scientific domain such as biology, chemistry, physics, astronomy, climate, genomics, materials, medicine, ecology, energy, engineering, math, drug discovery, protein design, weather modeling, … source
scientific-critical-thinking core Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best … source
statistical-analysis core Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze … source
latex-posters core Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, … source
matlab core MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential … source
exploratory-data-analysis core Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. … source
markdown-mermaid-writing core Comprehensive markdown and Mermaid diagram writing skill. Use when creating any scientific document, report, analysis, or visualization. Establishes text-based diagrams as the default documentation standard with full style guides (markdown … source
scholar-evaluation core Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and … source

Source: K-Dense-AI/scientific-agent-skills

Skill Tier What it adds Upstream
hugging-science core Use when the user is doing AI/ML work in a scientific domain such as biology, chemistry, physics, astronomy, climate, genomics, materials, medicine, ecology, energy, engineering, math, drug discovery, protein design, weather modeling, … source
scientific-critical-thinking core Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best … source
statistical-analysis core Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze … source
latex-posters core Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, … source
matlab core MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential … source
exploratory-data-analysis core Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. … source
markdown-mermaid-writing core Comprehensive markdown and Mermaid diagram writing skill. Use when creating any scientific document, report, analysis, or visualization. Establishes text-based diagrams as the default documentation standard with full style guides (markdown … source
scholar-evaluation core Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and … source

Source: mukul975/Anthropic-Cybersecurity-Skills

Skill Tier What it adds Upstream
implementing-security-chaos-engineering core Implements security chaos engineering experiments that deliberately disable or degrade security controls to verify detection and response capabilities. Tests WAF bypass, firewall rule removal, log pipeline disruption, and EDR disablement … source

Source: NeoLabHQ/context-engineering-kit

Skill Tier What it adds Upstream
memorize core Curates insights from reflections and critiques into CLAUDE.md using Agentic Context Engineering source

Source: nWave-ai/nWave

Skill Tier What it adds Upstream
nw-interviewing-techniques core Mom Test questioning toolkit, JTBD analysis, interview conduct, assumption testing framework, and hypothesis design source

Source: rampstackco/claude-skills

Skill Tier What it adds Upstream
cro-optimization core Run conversion rate optimization through hypothesis-driven testing including audit, hypothesis generation, test design, statistical analysis, and rollout decisions. Use this skill whenever the user wants to optimize conversion, run A/B … source
experiment-design core A discipline for designing experiments (A/B tests, multivariate, holdouts) so the results actually answer the question you asked. Hypothesis writing, sample size, duration, segment analysis, interpretation, decision-making, and the common … source

Source: rohitg00/skillkit

Skill Tier What it adds Upstream
design-first core Guides the creation of technical design documents before writing code, producing architecture diagrams, data models, API interface definitions, implementation plans, and multi-option trade-off analyses. Use when the user asks to plan a … source

Source: sanjay3290/ai-skills

Skill Tier What it adds Upstream
deep-research core Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but produces detailed, cited … source

Source: shanraisshan/claude-code-best-practice

Skill Tier What it adds Upstream
vibe-to-agentic-framework core The conceptual framework behind the presentation — what "Vibe Coding to Agentic Engineering" means, why the journey is structured the way it is, and how every slide fits the narrative arc source

Source: vibeeval/vibecosystem

Skill Tier What it adds Upstream
experiment-loop core Autonomous experiment loop: hypothesize > modify > test > evaluate > keep/discard > repeat. Run N experiments automatically with measurable metrics. Works for performance optimization, A/B testing, prompt engineering, and any measurable … source
chaos-engineering core Failure injection patterns, blast radius control, steady state hypothesis, and gameday planning for resilience testing. source

Source: wanshuiyin/Auto-claude-code-research-in-sleep

Skill Tier What it adds Upstream
system-profile core Profile a target (script, process, GPU, memory, interconnect) for performance analysis. Use when user says "profile", "benchmark", "bottleneck", or wants performance analysis. source

Source: zebbern/claude-code-guide

Skill Tier What it adds Upstream
vc-industry-research core Generate professional primary market / venture capital industry research reports, including sector deep-dives, investment memos, and market analysis. Produces detailed PDF reports covering TMT, consumer, healthcare, and industrials. … source