Root cause analysis workflows - systematic investigation of failures
原文の言語: 英語
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このリポジトリの skills
SkillsMP は majiayu000/claude-skill-registry から 5,485 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
majiayu000/claude-skill-registry収集済み skill 5,485 件中 40 件を表示しています。
Root cause analysis workflows - systematic investigation of failures
原文の言語: 英語
Pipeline Component Analysis & Feedback Tool. Decomposes pipelines into components with traceability feedback. Records all interactions in Machine-Readable YAML format. Integrates with /research skill for skill-driven pipeline support.
原文の言語: 英語
Apply RE11 Calibration Loops to repeatedly check predictions against outcomes to improve forecasting accuracy.
原文の言語: 英語
Apply RE5 Fractal Reasoning to recognize self-similar patterns repeating across different scales.
原文の言語: 英語
Reactome pathway enrichment using ReactomePA package. Performs over-representation analysis and GSEA on Reactome pathways, a curated peer-reviewed knowledgebase of biological pathways. Supports visualization and pathway hierarchy exploration.
原文の言語: 英語
Use this skill when when asked to read an arxiv paper given an arxiv URL
原文の言語: 英語
Use this skill when when asked to read an arxiv paper given an arxiv URL
原文の言語: 英語
Convert a research paper into structured Obsidian notes and link research projects
原文の言語: 英語
Read and navigate software package documentation websites. Use when the user provides a documentation URL and wants to understand an API, SDK, framework, or library. Triggers on requests like "read the docs at [url]", "look up [topic] in the [package]…
原文の言語: 英語
Reality is the ultimate judge. Use when need to ground insights in experience, test if it actually works, or validate through results not theory.
原文の言語: 英語
Analyze narrative structures, character arcs, and genre conventions in reality television for academic research and content analysis. Use when studying reality TV editing patterns, mapping contestant storylines, analyzing producer manipulation techniques,…
原文の言語: 英語
Generate and evaluate explanatory hypotheses from incomplete observations. Use when diagnosing anomalies, explaining unexpected outcomes, or inferring causes from effects. Produces ranked hypotheses with evidence and confidence scores.
原文の言語: 英語
Transfer knowledge from source domains to novel target situations through structural mapping. Use when facing new markets, products, or situations where past experience provides relevant patterns. Produces adapted solutions with explicit mappings and context…
原文の言語: 英語
Execute evidence-based decision-making through 6-stage causal flow. Use for known processes, operational execution, and decisions with clear cause-effect chains.
原文の言語: 英語
First principles reasoning and optimization methodology. Applies the Idiot Index, requirement questioning, and 5-step optimization process (question, delete, simplify, accelerate, automate). Triggers on problem-solving, decision-making, evaluating…
原文の言語: 英語
Recall the reasoning behind a past change from Codex session history when available, falling back to commit diff and surrounding code. Use when the user asks to "recall reasoning", "find reasoning", "look up reasoning", "recall implementation reasoning",…
原文の言語: 英語
recenter on where we are, what's done/left, and where necessary reflect on our work's principle compliance, performance, and pristineness.
原文の言語: 英語
Reconcile P&L vs KPI data sources. Validates consistency and identifies discrepancies with variance analysis.
原文の言語: 英語
This skill should be used when facing long-context tasks, processing large documents, handling multi-file analysis, aggregating information across many sources, answering questions requiring hierarchical reasoning, or when context length would cause "context…
原文の言語: 英語
Activate the Recursive Thought Committee multi-persona framework.
原文の言語: 英語
Execute recursive thought committee multi-perspective analysis.
原文の言語: 英語
Extract insights from Reddit discussions. Track communities, sentiment, and trends.
原文の言語: 英語
리팩토링 분석 전문가. 기존 코드베이스를 컨벤션 기준으로 분석. Zero-Tolerance 위반 탐지, 영향도 분석, 단계별 리팩토링 계획 수립. /refactor-plan 명령 시 자동 활성화. Serena Memory에 결과 저장.
原文の言語: 韓国語
Find past learnings applicable to current work
原文の言語: 英語
Create publication-quality visualizations of immune repertoire data including circos plots, clone tracking, diversity plots, and network graphs. Use when generating figures for repertoire comparisons, clonal dynamics, or V(D)J gene usage.
原文の言語: 英語
Code repository analysis and technical documentation generation skill
原文の言語: 英語
Analyzes repository modules for current capabilities, groups them by domain, and identifies strategic gaps against mission objectives
原文の言語: 英語
{{ 𝛀𝛀𝛀 }} Probe the project for weaknesses
原文の言語: 英語
{{ 𝛀𝛀𝛀 }} Provide a detailed high-level overview of this codebase
原文の言語: 英語
{{ 𝛀𝛀𝛀 }} Investigate a codebase in detail
原文の言語: 英語
Repository Health Analyzer
原文の言語: 英語
Generate user demand research reports from real user feedback. Scrape and analyze feature requests, complaints, and questions from Reddit, X, and GitHub.
原文の言語: 英語
Multi-source parallel research with confidence-based synthesis.
原文の言語: 英語
Comprehensive research skill using Zai MCP web search and native Claude Code tools
原文の言語: 英語
Conducts thorough landscape research, competitive analysis, best practices evaluation, and evidence-based recommendations. Expert in market research and trend analysis.
原文の言語: 英語
Research and compare the Stateless Agent Methodology (SAM) against other methodologies using only verifiable reference material. Produce overlap/divergence analysis that is useful for comparing strategy, methodologies, and potential implementations, and for…
原文の言語: 英語
Research external topics, create comprehensive analysis, determine project applicability, and incorporate learnings into Serena and Forgetful memory systems. Transforms knowledge into searchable, actionable project context.
原文の言語: 英語
Fetch and summarize authoritative external sources into actionable guidance using MCP helpers. EXCLUSIVE to researcher agent.
原文の言語: 英語
Multi-source research across code, discourse, and academic channels.
原文の言語: 英語
Gather facts and context from codebase, docs, and web,... Use when exploring patterns, finding implementations, looking up documentation, or researching before decisions.
原文の言語: 英語