Guide for creating effective AGENTS.md files for Cursor. Use when (1) Creating new AGENTS.md files in project root, (2) Improving existing agent instructions, (3) Setting up project-specific...
Guides developers through using cursor-agent CLI for interactive development, session management, and implementing development-verification loops. Use when working with cursor-agent, creating...
Guide for building agents with the Claude Agent SDK (TypeScript/Node.js). Use when creating SDK-based agents, custom tools, in-code subagents, or production agent applications. Provides templates,...
Skills, MCP servers, Custom Coding Agents, Agents.md for SDKs to ground Coding Agents
Agent coordination, orchestration, and multi-agent workflow management scripts
Orchestrate parallel CLI agents (Claude Code, Codex, Gemini) for competitive evaluation. Use when user says "run multi-agent", "compare agents", "launch competitive evaluation", "use parallel...
Coding Agent Session Search - unified CLI/TUI to index and search local coding agent history from Claude Code, Codex, Gemini, Cursor, Aider, ChatGPT, Pi-Agent, Factory, and more. Purpose-built for...
统一智能体协议适配层。一套 API 调用所有 Agent 协议（ANP/MCP/A2A/AITP 等）。当用户需要调用 Agent、跨协议通信、连接工具时触发此技能。
This skill should be used when the user asks to "offload context to files", "implement dynamic context discovery", "use filesystem for agent memory", "reduce context window bloat", or mentions...
Dynamically generate and execute a specialized agent for any task. Use when the user has an arbitrary task that would benefit from a custom-generated agent.
Design tools that agents can use effectively. Use when creating new tools for agents, debugging tool-related failures, or optimizing existing tool sets.
Estimate GPU memory usage for Megatron-based MoE (Mixture of Experts) and dense models. Use when users need to (1) estimate memory from HuggingFace model configs (DeepSeek-V3, Qwen, etc.), (2)...
Building AI agents with the Convex Agent component including thread management, tool integration, streaming responses, RAG patterns, and workflow orchestration
Building AI agents with the Convex Agent component including thread management, tool integration, streaming responses, RAG patterns, and workflow orchestration
An AI Agent Engine built in Go. Features portable skills (SKILL.md), human-in-the-loop approvals, structured memory, and OpenAI-compatible tool calling. Single binary & Docker ready.
Generate or update CLAUDE.md/AGENTS.md files for AI coding agents through auto-scanning project files combined with interactive Q&A. Supports multiple tech stacks, development environments, and...
Headless browser automation CLI for AI agents. Covers commands, refs, sessions, snapshots, cloud providers, profiles. Keywords: agent-browser, browser automation, refs, snapshot.
Create, review, and update Prompt and agents and workflows. Covers 5 workflow patterns, runSubagent delegation, Handoffs, Context Engineering. Use for any .agent.md file work or multi-agent system design.
Use when facing 3+ independent failures that can be investigated without shared state or dependencies - dispatches multiple Claude agents to investigate and fix independent problems concurrently
Get external agent review and feedback. Routes Anthropic models through Claude Agent SDK (uses local subscription) and other models through OpenRouter API. Use for code review, architecture...