Boost efficiency with task automation and organizers.
Creating and Optimizing Claude Code Skills. Design reusable knowledge capsules with progressive disclosure (metadata → content → resources). Apply freedom levels (high/medium/low), create examples, validate YAML. Use when building domain-specific guidance or automating recurring patterns.
Deploy and manage Lark (Feishu) bot for Milady meme generation, command handling, and team collaboration. Use when setting up Lark webhooks, handling bot commands, deploying to production, or integrating with Lark messaging.
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
Multi-agent collaboration. Use when working with other Claude Code sessions, coordinating work, or needing to communicate with teammates.
Parallel development using git worktrees with Claude Code subagents. Use when spawning multiple async Claude agents across isolated worktrees, running parallel implementations, coordinating multi-agent workflows, leveraging LLM non-determinism for multiple solutions, or running background agents that signal completion. Triggers on "parallel agents", "worktrees", "subagents", "async Claude", "spawn agents", "parallel development", "multi-agent workflow", "background agents", "agent coordination", "parallel tasks".
Create Claude Code subagents. Use when user wants to create a subagent, specialized agent, or custom AI assistant for Claude Code.
Enterprise Mermaid diagramming skill for Claude Code using MCP Playwright
Expert in FastAPI async endpoint patterns, dependency injection, request/response models, error handling, and CORS configuration. Use for all backend API implementations.
Guide for creating, configuring, and distributing Claude Code plugins with hooks, skills, commands, and MCP servers. Use when user asks to create a plugin, set up hooks, add plugin functionality, create a marketplace, or distribute custom Claude Code extensions.
Prompt engineering standards for AI interactions with cache optimization. Use when writing AI prompts, optimizing context usage, or structuring AGENTS.md files. Covers prompt caching, token efficiency, and progressive disclosure patterns.
Search your conversation history using ripgrep. Use when you need to find previous messages, file edits, tool calls, or decisions from earlier in the session.
Consult external AI council (Gemini, Codex, Qwen, GLM-4.7) for thorough reviews and consensus-driven decisions. Use ONLY when explicitly invoked with "/council" or when user says "consult the council", "invoke council", or "council review". Do NOT auto-trigger on generic phrases like "thorough review".
Build production-ready FastAPI applications with async patterns, Pydantic validation, dependency injection, middleware, and database integration. Use for FastAPI endpoints, async workflows, or API design.
AI agent supporting REST/GraphQL/gRPC API design, OpenAPI specification generation, and API best practices Trigger terms: API design, REST API, GraphQL, OpenAPI, API specification, endpoint design, API contract, API documentation, gRPC, API versioning Use when: User requests involve api designer tasks.
Generate OpenCode configuration components and skills. Use this skill when you need to create or update OpenCode agents, commands, MCP servers, plugins, tools, or full agent skills following the official opencode.json schema. Supports generating supagents, commands, mcp configs, frontmatter, plugins, and tool mappings.
Create new Claude Agent Skills following best practices. Use when user wants to create, scaffold, or update a skill package with proper progressive disclosure structure.
Consult multiple LLM providers via src.agents.scripts.consult to get approach suggestions before implementing changes. Use when you need design options, risk checks, or alternative solutions for a task in this repo, especially before complex work.
Use PROACTIVELY when you need to create, update, configure, or validate Claude hooks for various events and integrations
Use when designing agent tools, creating tool descriptions, implementing MCP tools, or asking about "tool design", "agent tools", "tool descriptions", "MCP", "function calling", "tool consolidation"
AI collaboration protocols for multi-agent problem solving. Use when bouncing ideas between different AI perspectives, reviewing documents for updates, or simulating expert consultations. Enables structured thinking and comprehensive analysis.
Unified router for agent delegation and skill routing. Absorbs agents-router + skills-router. Triggers on complex tasks, multi-step operations, research, exploration, or specialized skill needs.
Mandatory workflow for creating LLM-facing content. Follow the 4-step process (objective → draft → verify → adjust) before writing any prompt, skill, tool description, or system instruction. Triggers on requests to create or revise skills, prompts, agent workflows, or any content that will be sent to an LLM repeatedly.
