Discover devops project management skills, compare source repositories and read the instructions for each workflow.
Customer/user segmentation with actionable insights. Use when identifying distinct customer groups, analyzing segment-specific behavior, profiling high-value segments, or testing segmentation hypotheses.
Structured requirements elicitation for analysis requests. Use when scoping new analysis projects, clarifying ambiguous business questions, or documenting analysis acceptance criteria with stakeholders.
Systematic investigation of metric changes and anomalies. Use when a metric unexpectedly changes, investigating business metric drops, explaining performance variations, or drilling into aggregated metric drive...
Create concise executive summaries from detailed analysis. Use when preparing board decks, executive briefings, or condensing complex analysis into decision-ready formats.
Conversion funnel analysis with drop-off investigation. Use when analyzing multi-step processes, identifying conversion bottlenecks, A/B testing funnel performance, or optimizing user journeys.
Create effective, publication-ready data visualizations. Use when choosing chart types, designing dashboards, creating presentation visuals, or building interactive visualizations with best practices.
Track and document analytical assumptions and decisions. Use when making analytical choices, documenting trade-offs, ensuring transparency, or creating audit trails for analytical work.
Pre-delivery quality assurance for analysis work. Use when reviewing analysis before sharing with stakeholders, checking for completeness, validating assumptions, or ensuring clarity of recommendations.
Transform data findings into compelling insights. Use when converting analysis results into actionable insights, connecting findings to business impact, or preparing insights for stakeholder communication.
Structure analysis approach before starting work. Use when receiving new analysis requests, breaking down complex questions into steps, or planning iterative analysis workflows.
Rigorous A/B test statistical analysis. Use when analyzing experiment results, calculating statistical significance, checking for sample ratio mismatch, or validating test design before launch.
Time-based cohort analysis with retention and behavior tracking. Use when analyzing user retention over time, comparing cohort performance, identifying lifecycle patterns, or measuring feature adoption by cohor...
Build compelling data-driven narratives and stories. Use when presenting analysis results, creating reports, or communicating data insights through storytelling frameworks.
Estimate and communicate business impact of insights. Use when sizing opportunities discovered in analysis, calculating ROI of recommended actions, or prioritizing initiatives by potential impact.
Standard business metric calculation with industry benchmarks. Use when calculating SaaS metrics (MRR, churn, LTV, CAC), e-commerce KPIs, or product analytics metrics with proper definitions.
Create comprehensive semantic layer documentation for analytics assets. Use when documenting data models, defining business metrics, creating data dictionaries, or building context for AI-assisted analysis.
Execute approved external actions via MCP servers in the Personal AI Employee system. This skill should be used when files appear in the /Approved folder (moved there by human after reviewing approval requests)...
Process and analyze action items discovered by watchers in the Personal AI Employee system. This skill should be used when new files appear in the Obsidian vault's /Needs_Action folder (created by Gmail watcher...
Enforce 1 PR = 1 Jira Issue workflow for clean project tracking
Use when partner provides a complete implementation plan to execute in controlled batches with review checkpoints - loads plan, reviews critically, executes tasks in batches, reports for review between batches
Algorithmic decision tree for when to follow plan exactly vs when to report STOPPED - prevents scope creep and unauthorized deviations
.claude/skills 配下のスキル（各SKILL.md）をレビューして改善提案を出す。name/description妥当性、簡潔さ、progressive disclosure、例の有無、参照の深さ、ツール制限、500行制限などのベストプラクティス観点でチェック。...
プロジェクト状況を網羅的にチェックし、追加すべき機能や改善すべき点を洗い出すスキル。PRD/設計/実装の整合性チェック、機能ギャップ分析、改善提案レポートを出力。「プロジェクトを分析して」「ギャップ分析をして」「コ...
作業指示ごとに .steering/ 配下へ requirements/design/tasklist を作成し、tasklist.md を唯一の進捗ソースとして実装を推進する。計画（作成）/実装（ループ）/振り返り（記録）の3モードで運用する。詳細ルールは ./refere...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.