Master reference for categorical meta-prompting unified syntax. Contains all modifiers, operators, composition patterns, and execution protocols. Use this skill for self-reference when executing any prompt workflow, ensuring consistent syntax across all commands and skills.
Standalone CLI bridge - launch external AI CLIs (gemini, codex, claude) directly without MCP server. Use when you need to delegate tasks to specialized CLI tools with their own context windows. Supports role-based prompts and file references.
专业的LangGraph AI应用开发技能，提供从概念到生产的完整开发指导。基于Context7最新调研，涵盖StateGraph设计、多代理协作、RAG系统实现、生产部署等核心场景。使用此技能构建有状态、多参与者、长期运行的AI代理应用。
AI-powered web search and reasoning using Perplexity API through the scraper MCP server. Invoked when searching the web with AI synthesis, conducting research with citations, performing complex reasoning tasks, or answering questions requiring real-time information. Provides two tools for different query types.
推論パターンを選択し、根拠サマリーを短く提示するためのプロンプト設計スキル。 自己一貫性の比較、推論パターンの適用、説明の明確化を通じて、再現性の高い結論を導く。 Anchors: • The Pragmatic Programmer / 適用: 手順設計 / 目的: 実践的な整理 • Reasoning and Logic / 適用: 推論パターン / 目的: 一貫性のある説明 • Self-Consistency (Wang et al.) / 適用: 複数案比較 / 目的: 精度向上 Trigger: Use when selecting reasoning patterns, designing prompts for structured explanations, or comparing multiple solution paths for higher confidence.
Export the current Pi session transcript to an HTML file for inclusion in a pull request. Use when the user is ready to submit a PR and wants to include an AI session transcript.
Modular orchestration of agent patterns from Anthropic's engineering guide. Intelligently selects and implements prompt chaining, routing, parallelization, orchestrator-workers, evaluator-optimizer, and autonomous agents. Includes pattern combinations and language-specific implementations.
Execute prompts from ./prompts/ directory with various AI models. Use when user asks to run a prompt, execute a task, delegate work to an AI model, run prompts in worktrees/tmux, or run prompts with verification loops.
Claude Codeセッションの状態管理、コンテキスト保持、会話履歴の効率的な運用を支援するスキル。 長時間セッションでのコンテキスト消費最適化、セッション再開時の状態復元、 マルチタスク切り替え時の状態保存・復元を提供する。 Anchors: • The Pragmatic Programmer (Hunt & Thomas) / 適用: 状態管理の原則 / 目的: 効率的なセッション運用 • Domain-Driven Design (Evans) / 適用: コンテキスト境界 / 目的: 適切な状態分離 • Clean Architecture (Martin) / 適用: 依存関係管理 / 目的: セッション間の独立性確保 Trigger: Use when managing Claude Code sessions, preserving context across interactions, or optimizing token usage in long conversations. session management, context preservation, token optimization, session state, conversation history
Generates comprehensive synthetic fine-tuning datasets in ChatML format (JSONL) for use with Unsloth, Axolotl, and similar training frameworks. Gathers requirements, creates datasets with diverse examples, validates quality, and provides framework integration guidance.
Develop and test Flexus bots. Use when working with bot files (*_bot.py, *_prompts.py, *_install.py), flexus_client_kit, or kanban/scheduler systems.
Multi-model battle for iterative (recursive) refinement. Rotates models every iteration and has other models judge/critique. Use when user asks to "battle models", "compare models", "multi-LLM", or wants iterative refinement across multiple OpenAI-compatible / Ollama models.
Use when starting any conversation - establishes mandatory workflows for finding and using ZenPowers skills, including using Read tool before announcing usage, following brainstorming before coding, and creating TodoWrite todos for checklists
SQLiteプロジェクト向けのベクトル検索代替戦略スキル。 SQLite VSS、外部ベクトルDB、RAGパイプラインの実装を提供します。 Anchors: - The Pragmatic Programmer（Andrew Hunt）/ 適用: 実践的ソリューション選定 / 目的: 適材適所の技術選択 - Designing Data-Intensive Applications（Martin Kleppmann）/ 適用: データシステム設計 / 目的: スケーラブルなアーキテクチャ - Building LLM Apps（各種論文）/ 適用: RAGパターン / 目的: 効果的な情報検索 Trigger: Use when implementing vector search, building RAG systems, setting up SQLite VSS, or integrating external vector databases like Pinecone or Weaviate.
Comprehensive prompting techniques including chain-of-thought, few-shot, zero-shot, system prompts, persona design, and evaluation patterns
Framework for starting new daily chat with gentle context loading from previous day's summary. Use when user says "good morning", starts new chat with minimal prompt, or explicitly requests morning brief. Loads yesterday's summary and generates scannable brief. Optimized for low cognitive load during morning wakeup. Extend with personal metrics and protocols.
Explain what this skill does and when Claude should use it. Include trigger keywords and use cases.
Full-stack AI application generator with Next.js, AI SDK, and ai-elements. Use when creating chatbots, agent dashboards, or custom AI applications. Triggers: chatbot, chat app, agent dashboard, AI application, Next.js AI, useChat, streamText, ai-elements, build AI app, create chatbot
Build backend AI with Vercel AI SDK v5/v6. Agent abstraction, tool approval, error solutions. Use when: implementing AI SDK v5/v6 or troubleshooting AI errors.
Claude Agent SDK（@anthropic-ai/claude-agent-sdk）および直接Anthropic SDK（@anthropic-ai/sdk）を使用したエージェント統合の実装を専門とするスキル。 query() API、Hooksシステム、Permission Control、Electron統合、ストリーミング処理、Direct SDKパターンを支援します。 Anchors: • Claude Agent SDK Official Docs / 適用: SDK API、Hooks、Permissions / 目的: 公式パターンに準拠した実装 • Anthropic SDK (@anthropic-ai/sdk) / 適用: Direct SDK呼び出し / 目的: シンプルなMain Process統合 • Electron IPC Best Practices / 適用: Main-Renderer間通信 / 目的: セキュアなプロセス間通信 • TypeScript Handbook / 適用: 型定義、ジェネリクス / 目的: 型安全なSDK統合 Trigger: Claude Agent SDKを使用したエージェント機能実装、query() APIストリーミング処理、Hooksシステム実装、Electron統合、Permission Control設計、MCP統合、Direct SDK統合を行う場合に使用。 claude-agent-sdk, query API, PreToolUse, PostToolUse, PermissionRequest, Electron IPC, MCP, ストリーミング, 権限制御, @anthropic-ai/sdk, Direct SDK
