Use when building Claude Code skills or plugins for Pokemon TCG Pocket. Creates Pokemon-specific commands, integrates MCP servers, scaffolds deck-building workflows, and provides templates for Pokemon automation tools. Covers Claude skill structure and Pokemon integration patterns.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Self-improving holon implementing Plan→Execute→Assess→Compound workflow loops with explicit knowledge crystallization. Generalizes compound engineering beyond coding to any domain where work produces learnable signals: writing, research, learning, problem-solving, design. Use when: (1) task quality matters and can improve over time, (2) patterns emerge from repeated work, (3) institutional knowledge should accumulate, (4) future tasks should benefit from past learnings, (5) "compound", "learn from", "improve process", "capture learnings", or multi-step workflows with review cycles. Orchestrates parallel research agents, multi-lens assessment, and structured knowledge codification into searchable documentation with YAML frontmatter. Implements λο.τ → λ(ο,Κ).τ where Κ is accumulated knowledge that compounds interest-like over time.
Use claude_code MCP as a third-party co-agent to gather alternative opinions, unblock stalemates, or delegate scoped tasks (reviews, ideas, draft edits) while you remain the decision-maker. Trigger when seeking another perspective or backup executor: "他の意見", "別の人", "違う観点", "打開策ない?", "別LLMの見解", "claudeに頼んで".
Expert Claude Code engineer with deep knowledge of skills authoring, Agent SDK (TypeScript/Python), Claude API, prompt engineering, MCP servers, hooks, slash commands, and tool use. Use when creating skills, building agents, writing hooks, configuring MCP servers, or implementing Claude API integrations.
Solve complex multi-constraint problems through systematic web search using multiple engines with adaptive strategies.
Workflow for processing large Things3 inboxes (100+ items) using LLM-driven confidence matching and intelligent automation. Integrates with personal taxonomy and MCP tools for efficient cleanup with self-improving pattern learning.
Tavily MCPを使用して最新AIニュースを取得し、日英バイリンガルのマークダウン記事を生成。「AIニュースを取得」「最新ニュース」などで使用。
Externalize detailed memory to Memory Bank before conversation summarization to prevent context loss. Triggers: CP, checkpoint, save, 存檔, 記一下, 保存, sync memory, dump, 先記著, 備份, backup, snapshot, 快照, 記錄, 等等, 先停, pause, 離開前, before leaving, 收工.
Advanced AI capabilities for paracle_meta including web search, code execution, MCP integration, and autonomous agent spawning. Use when you need enhanced AI functionality beyond basic generation.
Brainstorm and advise on technical decisions using structured process and MCP helpers. EXCLUSIVE to brainstormer agent. Does NOT implement — only advises.
Find the right Claude Code docs fast (slash commands, hooks, plugins, agent skills, subagents, MCP). Use when you’re building or debugging Claude Code customizations and need the relevant API reference or guide (e.g., “write a slash command”, “add a hook”, “build a plugin”, “agent skills”, “subagents”).
Comprehensive prompt engineering techniques for Claude models. Use this skill when crafting, optimizing, or debugging prompts for Claude API, Claude Code, or any Claude-powered application. Covers system prompts, role prompting, multishot examples, chain of thought, XML structuring, long context handling, extended thinking, prompt chaining, Claude 4.x-specific best practices, and agentic orchestration including subagents, agent loops, skills, MCP integration, and multi-agent workflows.
ML Engineer role: LLM APIs (OpenAI, Claude, Gemini), embeddings, RAG pipelines, fine-tuning, LangChain, LlamaIndex, vector databases (Pinecone, Chroma, Weaviate), prompt engineering, model evaluation, cost optimization, Agentic RAG, AI Agents, MCP, LLM observability. 30 methodologies.
This skill should be used when the user asks to "add MCP server", "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model Context Protocol", "connect external service", mentions "${CLAUDE_PLUGIN_ROOT} with MCP", or discusses MCP server types (SSE, stdio, HTTP, WebSocket). Provides comprehensive guidance for integrating Model Context Protocol servers into Claude Code plugins for external tool and service integration.
Add a React + WebSocket UI on top of Claude Agent SDK agents with tool approval and SQLite persistence
Claude Code CLI configuration guide for Codex. Use when users ask about: claude code config, ~/.claude/settings.json, claude plugins, claude agents, claude skills, claude hooks, claude mcp servers, or integrating tools with Claude Code.
Build AI chat applications with OpenAI ChatKit SDK. Use when creating chat UIs, multi-session systems, integrating AI agents (OpenAI, Gemini, Claude, Ollama), adding tools with MCP, widgets, or building conversational apps. Covers server setup, Store implementations, frontend integration (@openai/chatkit-react), function tools, MCP servers, multi-user sessions, and streaming responses.
