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Found 391 Skills
Configure AWS Documentation MCP server to query up-to-date AWS knowledge, APIs, and best practices
Agent Skill: Generate and maintain AGENTS.md files following the public agents.md convention. Use when creating AI agent documentation, onboarding guides, or standardizing agent patterns. By Netresearch.
Create custom tools using the @tool decorator for domain-specific agents. Use when building agent-specific tools, implementing MCP servers, or creating in-memory tools with the Agent SDK.
Augmented cognition layer that makes users smarter by connecting conversations to their persistent knowledge tree. Use proactively when topics arise that might have prior knowledge, and when users ask to remember, recall, search, or organize. Triggers on technical discussions, decision-making, project work, "remember this", "recall", "what do I know about", or any knowledge request.
Install behavioral skills from trousse. Use FIRST when onboarding a new machine or after fresh Claude Code install. Creates symlinks for session lifecycle, utilities, and optionally offers tool repos (todoist-gtd, garde-manger). Triggers on 'help me set up', 'install skills', '/setup'. (user)
Tool for creating and validating Agent Skills. Use when users want to create a new skill or manage existing skills. Supports initialization, validation, and iterative development workflows.
Convert PRDs to prd.json format for the Ralph autonomous agent system. Use when you have an existing PRD and need to convert it to Ralph's JSON format. Triggers on: convert this prd, turn this into ralph format, create prd.json from this, ralph json.
Manage AI agent memory files (AGENTS.md/CLAUDE.md). Supports update and restructure modes. Use this when users need to sync, update, or restructure agent memory files. Triggered by keywords such as "记忆文件", "memory file", "AGENTS.md", "更新记忆", "重构记忆", "memory sync", "memory restructure".
Discord ops via the message tool (channel=discord).
Monitor STX stacking positions — status, PoX cycles, reward payouts, and delegation eligibility for autonomous agents.
Designs robust function/tool calling schemas for LLMs with JSON schemas, validation strategies, typed interfaces, and example calls. Use when implementing "function calling", "tool use", "LLM tools", or "agent actions".
Interactive onboarding for new AgentOps users. Guided RPI cycle on your actual codebase in under 10 minutes. Triggers: "quickstart", "get started", "onboarding", "how do I start".