GitHub
session-start-routine
Execute work session initialization routine at conversation start. Identifies new skills, researches improvements for existing skills, and updates skill library. Triggers automatically at session start.
Explorer
Explorez des skills pour le développement, le contenu, les données et la productivité. Comparez les descriptions et dépôts.
Catégories
Explorer
GitHub
x-retrieval-systems
Use this skill when analyzing how the system narrows down 500 million daily tweets to a candidate pool of ~1,500. This is the "top-of-funnel" engineering that determines what is even eligible to be ranked.
GitHub
skill-architect
Facilitates the creation and refactoring of Agent Skills compliant with the official specification. Use this to scaffold new skills or audit existing ones.
GitHub
cc-configuring-mcp
Use when configuring MCP servers in Claude Code, optimizing MCP token usage, troubleshooting MCP connections, understanding Tool Search thresholds, or deciding between MCP tools vs skills for token efficiency
GitHub
managing-context-window
Helps manage context window efficiently by summarizing, focusing, and pruning context to stay within token limits.
GitHub
skills-sh-marketplace
This skill should be used when searching, discovering, or installing skills from the skills.sh marketplace (Vercel's open agent skills ecosystem). It applies when the user wants to find skills for AI agents, br...
GitHub
aida-dispatch
This skill routes /aida commands to appropriate handlers - configuration, diagnostics, feedback, extension management, session persistence (memento operations), and CLAUDE.md management.
GitHub
prompt-lookup
Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use for discovering, retrieving, and improving prompts.
GitHub
inquiry-prompts
Generate research agent prompts from INQ QUESTION.md files for Phase 1 deliberation
GitHub
inquiry
Orchestrate multi-agent deliberation for INQ work items through all 4 phases
GitHub
decompose-plan
Decomposes a plan file into beads with epics, dependencies, and self-documenting context. Use when you have a comprehensive feature specification or implementation plan that needs to be broken into actionable,...
GitHub
requirements-framework-status
This skill should be used when the user asks to "requirements framework status", "show requirements project context", "what's the state of requirements framework", "requirements framework overview", or wants a...
GitHub
retrospective
Conducts retrospectives, archives items, and reprioritizes backlog
GitHub
scan-prioritize
Scans repository and builds priority queue
GitHub
task-scanner-agent
Scans infrastructure task repositories for active and backlog tasks, builds priority queue based on criticality and dependencies
GitHub
project-context
Provides current project state, architecture overview, and structured metadata
GitHub
r2mo-rad-lain
R2MO RAD CLI Dev Skill (Optimization V2)
GitHub
m2-krisis
FEP Octave M2: 判断モジュール (I-P-F)。目標との整合性を即時判断し、優先順位を決定する。 Use when: M1完了後、複数タスク存在時、「どれを先に？」質問時、Eisenhower分類が必要な時。 Use when NOT: 単一タスクで優先判...
GitHub
reflect
Reflect on a session to identify learnings, friction points, and improvements. Captures valuable insights for future sessions and system evolution.
GitHub
jira-task
Creates Jira tasks following Prowler's standard format. Trigger: When user asks to create a Jira task, ticket, or issue.
GitHub
m4-phronsis
FEP Octave M4: 実践知モジュール (I-P-S)。長期目標に基づき方策を設計する。 Use when: 「どう進める？」質問時、複雑なタスクの分解が必要な時、A案/B案の比較評価時。 Use when NOT: 単純な即時実行タスクの時、既に計画が...
GitHub
mixseek-config-validate
MixSeekの設定ファイル（team.toml、orchestrator.toml、evaluator.toml、judgment.toml）を検証します。「設定を検証」「TOMLをチェック」「設定ファイルの確認」「バリデーション」「ワークスペースの検証」といった依頼で使...
GitHub
mixseek-evaluator-config
MixSeekの評価設定ファイル（evaluator.toml、judgment.toml）を生成します。「評価設定を作成」「スコアリング設定」「判定設定を作って」「メトリクスを設定」といった依頼で使用してください。Submissionの評価基準と最終判...
GitHub
mixseek-orchestrator-config
MixSeekのオーケストレーター設定ファイル（orchestrator.toml）を生成します。「オーケストレーターを設定」「チーム競合設定」「複数チームで競わせる」「マルチチーム実行設定」といった依頼で使用してください。複数チーム...
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.