majiayu000/claude-skill-registry - 41ページ

ab-testing-analysis

A/B testing (also known as split testing) is a controlled experiment where two variants (A and B) are compared to determine which performs better for a specific metric. Effective A/B testing uses prop

原文の言語: 英語

ab-testing

Design and analyze A/B tests and controlled experiments for data-driven decisions. Use for: experiment design, hypothesis formulation, sample size calculation, statistical significance testing, multivariate testing, test implementation, results analysis,…

原文の言語: 英語

academic-research

A tool for rigorous academic research using Semantic Scholar and ArXiv. Focuses on finding highly-cited papers, retrieving abstracts, and following citation trails to understand the provenance of ideas.

原文の言語: 英語

academic-research

A tool for rigorous academic research using Semantic Scholar and ArXiv. Focuses on finding highly-cited papers, retrieving abstracts, and following citation trails to understand the provenance of ideas.

原文の言語: 英語

decision-action

Use when the user needs to choose, prioritize, or make a go/no-go decision among options.

原文の言語: 英語

diagnostic-action

Use when the user asks why something happened, what’s wrong, root cause analysis, debugging, or incident explanation.

原文の言語: 英語

adaptive-temporal-analysis-integration

Integrate adaptive temporal analysis for drift detection.

原文の言語: 英語

add-httparchive-metric-report

Add new metrics to HTTPArchive reports config. USE FOR adding performance metrics, adoption/percentage metrics, or custom metric analysis from crawl data. Chooses timeseries vs histogram based on data type.

原文の言語: 英語

ado-repo-analysis

Analyze sibling repos to find best match for a work item

原文の言語: 英語

aeo-audit

Run a comprehensive AEO audit for brand visibility across ChatGPT, Gemini, and Google. Use when user mentions "audit", "LLM visibility", "ChatGPT mentions", "check visibility".

原文の言語: 英語

agent-data-researcher

Expert data researcher specializing in discovering, collecting, and analyzing diverse data sources. Masters data mining, statistical analysis, and pattern recognition with focus on extracting meaningful insights from complex datasets to support evidence-based…

原文の言語: 英語

agent-error-detective

Expert error detective specializing in complex error pattern analysis, correlation, and root cause discovery. Masters distributed system debugging, error tracking, and anomaly detection with focus on finding hidden connections and preventing error cascades.

原文の言語: 英語

agent-market-researcher

Expert market researcher specializing in market analysis, consumer insights, and competitive intelligence. Masters market sizing, segmentation, and trend analysis with focus on identifying opportunities and informing strategic business decisions.

原文の言語: 英語

agent-ops-context-map

Analyze the codebase to create a concise, LLM-optimized structured overview in .agent/map.md.

原文の言語: 英語

agent-ops-dogfood

Dogfooding discovery agent — establish human-approved project baseline from public docs without code inspection

原文の言語: 英語

agent-ops-git-analysis

Analyze git repository for insights: contributor stats, commit patterns, branch health, and change analysis. Outputs actionable reports.

原文の言語: 英語

agent-ops-git-story

Generate narrative summaries from git history for onboarding, retrospectives, changelogs, and exploration. LLM-enhanced when available, works without LLM too.

原文の言語: 英語

agent-ops-potential-discovery

Analyze incoming content (text, files, folders, URLs) to extract purpose, create summaries, and identify potential value for the current project.

原文の言語: 英語

agent-ops-project-sections

Identify and map different sections of a software project (API, frontend, database, CLI, domain). Use for context scoping and architecture documentation.

原文の言語: 英語

prove-your-worth

Ruthlessly audit project features for justification. Challenge every feature to prove its value with evidence or face removal. Uses MCP tools for research.

原文の言語: 英語

agent-ops-report

Generate markdown reports from issues. Filter by type, priority, epic, date range. Supports summary, detailed, progress, completion, velocity, and backlog analysis views.

原文の言語: 英語

agent-research-analyst

Expert research analyst specializing in comprehensive information gathering, synthesis, and insight generation. Masters research methodologies, data analysis, and report creation with focus on delivering actionable intelligence that drives informed…

原文の言語: 英語

agent-scorer

Generate semantic + keyword match score. Compares resume content against job description to calculate a fit score and identify gaps.

原文の言語: 英語

agent-trend-analyst

Expert trend analyst specializing in identifying emerging patterns, forecasting future developments, and strategic foresight. Masters trend detection, impact analysis, and scenario planning with focus on helping organizations anticipate and adapt to change.

原文の言語: 英語

agentv-eval-analyzer

Analyze evaluation results for quality improvements — identify LLM-judge evaluators replaceable with deterministic assertions, flag weak/vague assertions, and surface cost/quality opportunities. Use after running evals to improve your evaluation config.

原文の言語: 英語

agentv-trace-analyst

Analyze AgentV evaluation traces and result JSONL files using `agentv trace` and `agentv compare` CLI commands. Use when asked to inspect AgentV eval results, find regressions between AgentV evaluation runs, identify failure patterns in AgentV trace data,…

原文の言語: 英語

aget-capture-observation

Capture research observations into AGET KB without committing specs. Use when discovering vocabulary candidates, RQ proposals, web findings, patterns, or observations mid-session that should be preserved before continuing.

原文の言語: 英語

aget-studyup

Research a topic across the knowledge base before implementation. Searches L-docs, patterns, PROJECT_PLANs, SOPs, and governance for relevant context.

原文の言語: 英語

agnxi-search-skill

Advanced search using Agnxi AI for specialized knowledge retrieval.

原文の言語: 英語

ai-daily-digest

Daily AI news digest covering technical advances, business news, and engineering impact. Aggregates from research papers, tech blogs, HN, newsletters. Use daily for staying current on AI developments.

原文の言語: 英語

ai-explain

Use when explaining code, concepts, patterns, or architecture: engineer-grade technical explanations with 3-tier depth control, ASCII diagrams, and execution traces.

原文の言語: 英語

ai-strategist

Use when evaluating AI tools and agentic workflows against workflow gaps, when conducting quarterly landscape scans, or when assessing integration feasibility of new tools for startup workflows.

原文の言語: 英語

ai-tool-assessment

Assess and report on AI tool subscriptions, usage patterns, and cost-effectiveness. Use for reviewing AI subscriptions, analyzing tool usage, optimizing AI spend.

原文の言語: 英語

aidd-observability

Owns shared observability/runtime reporting for diagnostics, inventory, identifiers, logs, and DAG export. Use when deterministic diagnostics or inventory exports are required.

原文の言語: 英語

aim-best-practices-researcher

Research current best practices for any technology, pattern, or coding standard. Use when asking about best practices, conventions, coding standards, recommended approaches, or how should I questions. Searches local knowledge first, then web for 2024-2026…

原文の言語: 英語

aim-freshness-report

Scan code-patterns collection for stale memories by comparing against GitHub code blob data

原文の言語: 英語

aitask-explain

Explain files in the project: functionality, usage examples, and code evolution history traced through aitasks.

原文の言語: 英語

aitask-stats

Calculate and display statistics of AI task completions (daily, global, per-label).

原文の言語: 英語

aitask-stats

Calculate and display statistics of AI task completions (daily, global, per-label).

原文の言語: 英語

aitask-stats

Calculate and display statistics of AI task completions (daily, global, per-label).

原文の言語: 英語