Assess delivery health metrics. For software: DORA + APEX. For content/AI/service products: product-type-appropriate metrics.
原文の言語: 英語
メニュー
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。
Assess delivery health metrics. For software: DORA + APEX. For content/AI/service products: product-type-appropriate metrics.
原文の言語: 英語
Deep Researchの探索・収集フェーズ。世界中のニュース/SNS/論文/公式Docs/OSS情報を横断して 証拠(evidence.jsonl)として保存する。調査の一次素材を作りたいときに使う。
dr-explore が作った run(evidence.jsonl / sources)を検証・統合して、 レポート(report.md)と実装計画(implementation_plan.md)を作る。
This skill should be used when the user asks about "plan drift", "reality check", "comparing docs to code", "project state analysis", "roadmap alignment", "implementation gaps", or needs guidance on identifying discrepancies between documented plans and…
原文の言語: 英語
This skill should be used when the user asks to "start a data science project", "brainstorm analysis", "plan a data analysis", or wants to clarify analysis requirements. REQUIRED Phase 1 of /ds workflow. Uses Socratic questioning to clarify goals, data…
原文の言語: 英語
This skill should be used when the user asks to 'fix analysis', 'wrong results', 'notebook error', 'reviewer feedback', 'data changed', 'debug notebook', or needs mid-analysis course-correction for wrong results, notebook errors, or data changes.
原文の言語: 英語
REQUIRED Phase 3 of /ds workflow. Enforces output-first verification at each step.
原文の言語: 英語
Phase 3 of /ds workflow. Execute analysis tasks with output-first verification.
原文の言語: 英語
REQUIRED Phase 2 of /ds workflow. Profiles data and creates analysis task breakdown.
原文の言語: 英語
REQUIRED Phase 2 of /ds workflow. Profiles data and creates analysis task breakdown.
原文の言語: 英語
This skill should be used when running Phase 4 of the /ds workflow to review methodology, data quality, and statistical validity. Provides structured review checklists, confidence scoring, and issue identification for data analysis validation.
原文の言語: 英語
This skill should be used when running Phase 4 of the /ds workflow or reviewing data analysis methodology.
原文の言語: 英語
This skill should be used when the user asks to 'start data analysis', 'brainstorm analysis approach', 'plan a data project', 'clarify analysis requirements', or needs the full 5-phase data science workflow with output-first verification.
原文の言語: 英語
Validate analysis outputs against SPEC.md requirements using DQ checks.
原文の言語: 英語
This skill should be used when the user asks to 'verify analysis results', 'check reproducibility', 'validate data science output', 'confirm completion', or as Phase 5 of the /ds workflow.
原文の言語: 英語
This skill should be used when the user asks to 'verify analysis results', 'check reproducibility', 'validate data science output', 'confirm completion', or as Phase 5 of the /ds workflow (final). Enforces reproducibility demonstration and user acceptance…
原文の言語: 英語
Layer 4: IES Interactome Analytics with GF(3) Momentum Tracking
原文の言語: 英語
Analyzes why stocks moved after 8-K earnings filings. Use ultrathink for all analyses. Invoke when asked to analyze stock movements, earnings reactions, or determine the primary driver of price changes.
原文の言語: 英語
Predicts stock direction/magnitude at T=0 (report release). Uses PIT data only. Run before earnings-attribution.
原文の言語: 英語
Cross-platform competitor analysis for e-commerce brands. Compare competitors across Amazon, Shopify, social media, and advertising channels. Build a complete competitive intelligence picture.
原文の言語: 英語
Use when order-of-magnitude cost estimates are needed to assess financial feasibility, compare cost-effectiveness of alternatives, or identify major cost drivers (not for detailed quotes—that's Procurement)
原文の言語: 英語
Verifies relationships between a source text (e.g. Episode, Task) and existing Knowledge Graph lessons. Runs KNN/Hybrid search to find candidates, then uses LLM (scillm) to verify "verifies", "contradicts", or "related" stances with strict rationales.
原文の言語: 英語
At milestones, compare achievement vs human programmer time and cost. Keep it realistic.
原文の言語: 英語
プラグイン要素間の依存関係や呼び出し順序を分析する。プラグイン整合性確認時、依存関係検証時、またはユーザーが要素間依存、呼び出し順序、循環依存、アーキテクチャ検証に言及した際に使用する。
Monitor bioRxiv/medRxiv preprints and academic discussions to identify emerging research hotspots before they appear in mainstream journals
原文の言語: 英語
Comprehensive Claude Code telemetry via 10 hooks capturing sessions, conversations, tools, subagents, context, permissions, and repository analytics. Use when analyzing detailed usage patterns beyond default OTEL.
原文の言語: 英語
Three-tier enterprise code analysis system. Tier 1 analyzes individual repositories (structure, patterns, dependencies, memory). Tier 2 maps cross-repository relationships (API contracts, shared libraries, service coupling). Tier 3 provides enterprise…
原文の言語: 英語
Monitors enterprise account health, usage, and contract compliance. Alerts on low engagement, quota breaches, or churn risk.
原文の言語: 英語
Generate epic progress reports. Use for epic status, story tracking, blocker detection, and progress summaries.
原文の言語: 英語
Query and analyze Turkish electricity market prices including MCP (PTF/Piyasa Takas Fiyatı), SMP (SMF/Sistem Marjinal Fiyatı), WAP (Ağırlıklı Ortalama Fiyat), and imbalance prices. Use when asking about electricity prices, market clearing prices, day-ahead…
原文の言語: 英語
Comprehensive project audit — health, architecture, phase retrospective, and codebase quality. Produces a scannable report with actionable recommendations.
原文の言語: 英語
Explore an idea before committing to a plan. Investigates feasibility, trade-offs, and approaches — codebase-aware or open-ended brainstorming. Saves findings to .esper/explorations/ for future /esper:phase intake.
原文の言語: 英語
Use when factual claims in a science blog essay need verification with source URLs, or when proactive research enrichment would strengthen an argument.
原文の言語: 英語
Analyze evaluation baseline results, identify failure patterns, and generate actionable insights. Use after running eval baselines or when user asks to analyze eval results, check benchmarks, investigate failures, or understand what's failing.
原文の言語: 英語
Generate evaluation report from session metrics, checkpoint evals, and pass@k data
原文の言語: 英語
Critically assess external feedback (code reviews, AI reviewers, PR comments) and decide which suggestions to apply using adversarial verification. Use when the user asks to "evaluate findings", "assess review comments", "triage review feedback", "evaluate…
原文の言語: 英語
MMI評価エージェント - Modularity Maturity Indexによるモジュール成熟度評価(Cohesion/Coupling/Independence/Reusability)。/evaluate-mmi [対象パス] で呼び出し。
Create a Technology Evaluation Pack (problem framing, options matrix, build vs buy, pilot plan, risk review, decision memo). Use for evaluating new tech, emerging technology, AI tools, vendor selection, and tech stack decisions.
原文の言語: 英語
Systematic content evaluation framework progressing through Critique → Reinforcement → Risk Analysis → Growth. Use when reviewing writing, arguments, proposals, code documentation, or any content requiring rigorous multi-dimensional assessment. Supports…
原文の言語: 英語
Use this skill as foundation for all evidence-based review workflows. Use when conducting any review that needs evidence trails, creating audit documentation, ensuring reproducibility of analyses. Do not use when quick informal checks without documentation…
原文の言語: 英語