Discover DevOps skills, compare source repositories and read the instructions for each workflow.
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.
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.
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
Helps manage context window efficiently by summarizing, focusing, and pruning context to stay within token limits.
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...
This skill routes /aida commands to appropriate handlers - configuration, diagnostics, feedback, extension management, session persistence (memento operations), and CLAUDE.md management.
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.
Generate research agent prompts from INQ QUESTION.md files for Phase 1 deliberation
Orchestrate multi-agent deliberation for INQ work items through all 4 phases
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...
Conducts retrospectives, archives items, and reprioritizes backlog
Scans repository and builds priority queue
Scans infrastructure task repositories for active and backlog tasks, builds priority queue based on criticality and dependencies
Provides current project state, architecture overview, and structured metadata
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...
Reflect on a session to identify learnings, friction points, and improvements. Captures valuable insights for future sessions and system evolution.
Creates Jira tasks following Prowler's standard format. Trigger: When user asks to create a Jira task, ticket, or issue.
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...
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...
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...
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...
Translate an approved plan into specs with acceptance criteria and derived tasks. Use after plan mode when transitioning to implementation.
Creates Jira epics for large features following Prowler's standard format. Trigger: When user asks to create an epic, large feature, or multi-task initiative.
タスク完了後に自律的に実行する必要があるフロースキルです。 Trigger: task completed, ready to submit code
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.