majiayu000/claude-skill-registry - 41페이지

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

원문 언어: 영어

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,…

원문 언어: 영어

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.

원문 언어: 영어

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.

원문 언어: 영어

decision-action

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

원문 언어: 영어

diagnostic-action

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

원문 언어: 영어

adaptive-temporal-analysis-integration

Integrate adaptive temporal analysis for drift detection.

원문 언어: 영어

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.

원문 언어: 영어

ado-repo-analysis

Analyze sibling repos to find best match for a work item

원문 언어: 영어

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".

원문 언어: 영어

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…

원문 언어: 영어

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.

원문 언어: 영어

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.

원문 언어: 영어

agent-ops-context-map

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

원문 언어: 영어

agent-ops-dogfood

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

원문 언어: 영어

agent-ops-git-analysis

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

원문 언어: 영어

agent-ops-git-story

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

원문 언어: 영어

agent-ops-potential-discovery

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

원문 언어: 영어

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.

원문 언어: 영어

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.

원문 언어: 영어

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.

원문 언어: 영어

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…

원문 언어: 영어

agent-scorer

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

원문 언어: 영어

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.

원문 언어: 영어

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.

원문 언어: 영어

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,…

원문 언어: 영어

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.

원문 언어: 영어

aget-studyup

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

원문 언어: 영어

agnxi-search-skill

Advanced search using Agnxi AI for specialized knowledge retrieval.

원문 언어: 영어

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.

원문 언어: 영어

ai-explain

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

원문 언어: 영어

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.

원문 언어: 영어

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.

원문 언어: 영어

aidd-observability

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

원문 언어: 영어

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…

원문 언어: 영어

aim-freshness-report

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

원문 언어: 영어

aitask-explain

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

원문 언어: 영어

aitask-stats

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

원문 언어: 영어

aitask-stats

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

원문 언어: 영어

aitask-stats

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

원문 언어: 영어