GitHub
requirements
PMBOK準拠の要件定義書を作成する。要件定義、スコープ定義、機能要件の整理時に使う。
Skills IA Tests et sécurité
Découvrez les skills Tests et sécurité, comparez leurs dépôts et consultez leurs instructions.
Catégories: Tests et sécurité
Tests et sécurité Effacer les filtres
Explorer
GitHub
weekly-context
週次コンテキストを生成する。NotebookLM連携、週次サマリー自動生成時に使う。
GitHub
doc-from-examples
過去資料の「型」に合わせて新規ビジネス文書を作成する。提案書・稟議・PRDを書くとき、過去資料と同じ形式で作りたいときに使う。
GitHub
subagent-driven-development
サブエージェント駆動開発スキル。タスクごとに新しいサブエージェントを派遣し、2段階レビュープロセスで品質を確保。
GitHub
template-miner
過去資料からテンプレ・スタイルガイド・チェックリストを抽出して資産化する。テンプレが無い、文書品質がバラつく、過去資料を活用したいときに使う。
GitHub
codex-cli
OpenAI Codex CLIを起動・操作するスキル。マルチエージェント連携、コード生成の委譲、サブエージェントとしてCodexを活用したいときに使う。
GitHub
handover
保守・運用引継ぎ書を作成する。運用移行、引き継ぎ時に使う。
GitHub
systematic-debugging
体系的デバッグスキル。根本原因調査を先に行い、修正は後に行う規律あるアプローチ。
GitHub
stakeholder-register
ステークホルダー登録簿を作成する。関係者分析、ステークホルダー管理時に使う。
GitHub
analysis-retrospective
Post-analysis learning and process improvement. Use when completing major analysis projects, documenting lessons learned, or improving team analytical practices.
GitHub
peer-review-template
Structured peer review for analytical work. Use when reviewing teammates' analysis, providing constructive feedback, or establishing analysis quality standards.
GitHub
sql-to-business-logic
Translate SQL queries into plain language business logic. Use when documenting queries, explaining analysis to non-technical stakeholders, code review, or creating user-friendly query descriptions.
GitHub
data-catalog-entry
Create standardized metadata for data assets. Use when documenting new datasets, building data catalogs, improving data discoverability, or creating data dictionaries for teams.
GitHub
methodology-explainer
Explain analysis methodology to diverse audiences. Use when documenting 'how we did this' sections, building trust through transparency, or teaching analytical approaches to stakeholders.
GitHub
time-series-analysis
Temporal pattern detection and forecasting. Use when analyzing trends over time, detecting seasonality, identifying anomalies in time series, or building simple forecasting models.
GitHub
segmentation-analysis
Customer/user segmentation with actionable insights. Use when identifying distinct customer groups, analyzing segment-specific behavior, profiling high-value segments, or testing segmentation hypotheses.
GitHub
stakeholder-requirements-gathering
Structured requirements elicitation for analysis requests. Use when scoping new analysis projects, clarifying ambiguous business questions, or documenting analysis acceptance criteria with stakeholders.
GitHub
root-cause-investigation
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...
GitHub
executive-summary-generator
Create concise executive summaries from detailed analysis. Use when preparing board decks, executive briefings, or condensing complex analysis into decision-ready formats.
GitHub
funnel-analysis
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.
GitHub
visualization-builder
Create effective, publication-ready data visualizations. Use when choosing chart types, designing dashboards, creating presentation visuals, or building interactive visualizations with best practices.
GitHub
analysis-assumptions-log
Track and document analytical assumptions and decisions. Use when making analytical choices, documenting trade-offs, ensuring transparency, or creating audit trails for analytical work.
GitHub
analysis-qa-checklist
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.
GitHub
insight-synthesis
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.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.