- 📁 assets/
- 📁 references/
- 📄 README.md
- 📄 SKILL.md
Build, modify, debug, and deploy agents with Agentforce Agent Script. TRIGGER when: user creates, modifies, or asks about .agent files or aiAuthoringBundle metadata; changes agent behavior, responses, or conversation logic; designs agent topics, actions, tools, sub-agents, or flow control; writes or reviews an Agent Spec; previews, debugs, deploys, publishes, or tests agents; uses Agent Script CLI commands (sf agent generate/preview/publish/test). DO NOT TRIGGER when: Apex development, Flow building, Prompt Template authoring, Experience Cloud configuration, or general Salesforce CLI tasks unrelated to Agent Script.
Join the Cortex agent team — reads agent config from team directory, generates .cortex.md protocol, updates CLAUDE.local.md. Idempotent — safe to re-run as a sync.
- 📁 .clawhub/
- 📁 references/
- 📄 _meta.json
- 📄 SKILL.md
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.
Scan running Claude sessions to see what other agents are working on. Use when asked "what are the other agents doing", "check other sessions", "what's running", "scan agents", "who's working on what", or before picking up new work to avoid overlap. --- # Agents: Scan Running Claude Sessions Runs `scan.sh` to inspect all tmux sessions running Claude and report what each is doing. ## Usage ```bash bash ~/.claude/skills/agents/scripts/scan.sh # all sessions bash ~/.claude/skills/agents/scripts/scan.sh floom # only floom/* sessions bash ~/.claude/skills/agents/scripts/scan.sh openpaper # only openpaper/* sessions ``` ## What It Shows
- 📁 .github/
- 📁 a2a/
- 📁 agenttax/
- 📄 .gitignore
- 📄 AGENTS.md
- 📄 CHANGELOG.md
Use when an autonomous agent needs to register an identity, resolve agent:// aliases, discover capabilities, execute routed tasks, or list paid services on Agoragentic with USDC settlement on Base L2.
Use this skill whenever the user wants to design, build, evaluate, or debug AI agent systems, RAG pipelines, or LLM-powered applications. Triggers include: any mention of 'agent', 'AI agent', 'agentic', 'autonomous agent', 'multi-agent', 'ReAct', 'chain of thought', 'tool use', 'function calling', 'RAG', 'retrieval augmented generation', 'vector search', 'semantic search', 'embedding pipeline', 'chunking strategy', 'LangChain', 'LangGraph', 'LlamaIndex', 'CrewAI', 'AutoGen', 'Claude agent', 'agent SDK', 'Letta', 'MemGPT', 'agent memory', 'context window management', 'prompt engineering', 'system prompt', 'guardrails', 'agent evaluation', 'LLM evaluation', 'hallucination', 'grounding', 'citation', 'agent orchestration', 'planning agent', 'coding agent', 'research agent', 'agent loop', 'agent tools', 'MCP tools', 'structured output', 'JSON mode', 'streaming', 'agent observability', 'agent testing', or any request to build an AI-powered application, design agent workflows, implement RAG, evaluate LLM outputs, or architect systems where LLMs make decisions and take actions. Also use when the user asks 'how do I build an AI agent?', 'how should I chunk my documents?', 'why is my RAG returning bad results?', or wants to connect an LLM to external tools and data. If someone is building anything where an LLM reasons and acts, use this skill.
Create agent company packages conforming to the Agent Companies specification (agentcompanies/v1). Use when a user wants to create a new agent company from scratch, build a company around an existing git repo or skills collection, or scaffold a team/department of agents. Triggers on: "create a company", "make me a company", "build a company from this repo", "set up an agent company", "create a team of agents", "hire some agents", or when given a repo URL and asked to turn it into a company. Do NOT use for importing an existing company package (use the CLI import command instead) or for modifying a company that is already running in Paperclip. --- # Company Creator Create agent company packages that conform to the Agent Companies specification.
- 📁 assets/
- 📁 references/
- 📁 scripts/
- 📄 .gitignore
- 📄 _meta.json
- 📄 bridge_simple.py
IMClaw 跨网通信能力 — 让 AI Agent 具备实时聊天能力。用于：(1) Agent 需要与其他 Agent 实时通信，(2) 管理群聊，(3) 订阅和接收群聊消息，(4) 构建聊天机器人或协作 Agent。触发词：imclaw、跨网通信、agent 聊天、群聊、实时消息、龙虾。
Register this AI agent on-chain via ERC-8004 Identity Registry on Base, link to the Augmi marketplace, check reputation. Use this skill when setting up a new agent or checking registration status.
- 📁 examples/
- 📁 references/
- 📄 SKILL.md
This skill should be used when the user asks to "configure agents", "create a custom agent", "set up agent permissions", "customize agent behavior", "switch agents", or needs guidance on OpenCode agent system.
- 📁 references/
- 📄 .gitignore
- 📄 README.md
- 📄 README_EN.md
Production-grade Agent development methodology extracted from Claude Code. 7-dimension framework covering tool design, system prompts, permission & safety, multi-agent orchestration, token economy, memory/state, and extensibility. Supports architecture design, implementation guidance, and agent review. Trigger on "Agent design", "build an agent", "AI agent", "tool design", "system prompt architecture", "agent review", "multi-agent", or any agent development concern.
Use when the user asks about Agent SDK permissions, canUseTool callback, permission modes, hooks system, PreToolUse/PostToolUse, custom subagents, agent definitions, structured output, outputFormat, sandbox configuration, budget controls, maxTurns, file checkpointing, or thinking/effort configuration.
