mesh-builder
Build TX V4 meshes - agent configs, prompts, routing. Use for new meshes, agent roles, or multi-agent workflows. Triggers - mesh, routing, agents, multi-agent, config.yaml
Build TX V4 meshes - agent configs, prompts, routing. Use for new meshes, agent roles, or multi-agent workflows. Triggers - mesh, routing, agents, multi-agent, config.yaml
A simple skill that echoes a message with the current timestamp. Use when asked to echo or repeat a message with a timestamp, get the current time along with a message, or demonstrate basic skill functionality.
Write maximally terse agent prompts from scratch. Use when creating new agent specs, command prompts, or instruction sets. Teaches structure-first composition with compression-by-default patterns.
Final Approach - the landing sequence. Runs Go Poll with review agents (mission-control, telemetry, flight-director) using Haiku model. Supports A+ skip rule for efficient re-reviews.
Skills版エージェント骨格(CLAUDE.md, .claude/skills/, .codex/等)を生成し、初期設定を完了する。「スケルトン生成」「エージェント生成」「骨格作成」を依頼されたときに使用する。
Operate agentpack safely in Claude Code. Use /ap-* commands for execution; prefer --json.
Compresses prompts/skills into minimal goal-focused instructions. Trusts the model, drops what it already knows, maximizes action space. Use when asked to compress, condense, or minimize a prompt.
Use this skill to coordinate concurrent agent work. Activates when tasks can be parallelized, during multi-agent workflows, or when orchestrating independent work streams.
This skill should be used when the user asks to "review my Suno song", "check Suno prompt quality", "evaluate song lyrics", "review this prompt", "check for AI-slop", "validate my Suno prompt", or wants independent quality assessment of Suno prompts and lyrics. Launches the quality-reviewer sub-agent to evaluate material against professional production standards including AI-slop detection, cliché detection, poor quality lines, rhyme assessment, style-lyric consistency, gender-pronoun consistency, and general taste.
Generates executable Python protocols for Opentrons OT-2 and Flex robots from natural language descriptions.
Model Context Protocol (MCP) server development and AI/ML integration patterns. Covers MCP server implementation, tool design, resource handling, and LLM integration best practices. Use when developing MCP servers, creating AI tools, integrating with LLMs, or when asking about MCP protocol, prompt engineering, or AI system architecture.
Creates and manages Claude Code rules files. Use when creating .claude/rules/ files or applying conditional rules to specific files/situations.
新規エージェント作成のためのヒアリング・要件定義を実施し、draft_requirements.mdとframework_research.mdを生成する。「エージェント作成」「新規Agent」「ヒアリング開始」を依頼されたときに使用する。
Skills群に対応するサブエージェント(.claude/agents/*.md)を設計・生成する。「サブエージェント作成」「並列処理エージェント」「専門エージェント」を依頼されたときに使用する。
Skills群に対応するサブエージェント(.claude/agents/*.md)を設計・生成する。「サブエージェント作成」「並列処理エージェント」「専門エージェント」を依頼されたときに使用する。
快速在新 Next.js 项目中集成 LangGraph 后端(localhost:2024),创建极简的 /chat 页面,支持真正的流式 AI 对话。适用于需要快速搭建聊天界面的场景:1) 集成 LangGraph Studio 本地部署的后端,2) 创建支持实时流式响应的聊天页面,3) 使用 LangGraph SDK 进行客户端直接连接,4) 实现优雅的 UI 交互(避免双气泡、流畅的加载动画)。
Skills群に対応するサブエージェント(.claude/agents/*.md)を設計・生成する。「サブエージェント作成」「並列処理エージェント」「専門エージェント」を依頼されたときに使用する。
Intent-based code interpretation across all languages — SQL, Python, JS, YAML, Bash, and beyond
Use this skill when creating Model Context Protocol (MCP) servers, adding tools to extend Claude's capabilities, or integrating external APIs as MCP tools.
Deploys a multi-agent swarm (Researcher, Reviewer, Safety Officer) to solve complex biomedical or research tasks in parallel.