Add community skills, agents, system prompts from 22+ sources
Community Skills (32): - jat: jat-start, jat-verify, jat-complete - pi-mono: codex-cli, codex-5.3-prompting, interactive-shell - picoclaw: github, weather, tmux, summarize, skill-creator - dyad: 18 skills (swarm-to-plan, multi-pr-review, fix-issue, lint, etc.) - dexter: dcf valuation skill Agents (23): - pi-mono subagents: scout, planner, reviewer, worker - toad: 19 agent configs (Claude, Codex, Gemini, Copilot, OpenCode, etc.) System Prompts (91): - Anthropic: 15 Claude prompts (opus-4.6, code, cowork, etc.) - OpenAI: 49 GPT prompts (gpt-5 series, o3, o4-mini, tools) - Google: 13 Gemini prompts (2.5-pro, 3-pro, workspace, cli) - xAI: 5 Grok prompts - Other: 9 misc prompts (Notion, Raycast, Warp, Kagi, etc.) Hooks (9): - JAT hooks for session management, signal tracking, activity logging Prompts (6): - pi-mono templates for PR review, issue analysis, changelog audit Sources analyzed: jat, ralph-desktop, toad, pi-mono, cmux, pi-interactive-shell, craft-agents-oss, dexter, picoclaw, dyad, system_prompts_leaks, Prometheus, zed, clawdbot, OS-Copilot, and more
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59
agents/community/toad/docker.com.toml
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59
agents/community/toad/docker.com.toml
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# Schema defined in agent_schema.py
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# https://github.com/docker/cagent
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identity = "docker.com"
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name = "Docker cagent"
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short_name = "cagent"
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url = "https://docs.docker.com/ai/cagent/"
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protocol = "acp"
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author_name = "Docker"
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author_url = "https://www.docker.com/"
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publisher_name = "Will McGugan"
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publisher_url = "https://willmcgugan.github.io/"
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type = "coding"
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description = "Agent Builder and Runtime by Docker Engineering. Build, orchestrate, and share AI agents with MCP and ACP support."
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tags = []
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run_command."*" = "cagent acp"
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recommended = false
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help = '''
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# Docker cagent
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**Agent Builder and Runtime by Docker Engineering**
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Docker cagent lets you build, orchestrate, and share AI agents that work together as a team.
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## Key Features
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- **Hierarchical Agent System**: Intelligent task delegation between multiple agents
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- **Model Context Protocol (MCP)**: Rich tool ecosystem via MCP integration
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- **Multiple Interfaces**: CLI, TUI, API server, and MCP server modes
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- **Share & Distribute**: Package and share agents to Docker Hub as OCI artifacts
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## Agent Client Protocol Support
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cagent supports ACP, enabling integration with ACP-compatible editors and development environments.
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## Installation
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The easiest way to get cagent is to install Docker Desktop version 4.49 or later, which includes cagent.
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## Distribution
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Agent configurations can be packaged and shared using the `cagent push` command, treating agents as reproducible OCI artifacts.
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---
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**Documentation**: https://docs.docker.com/ai/cagent/
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**GitHub**: https://github.com/docker/cagent
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**Blog Post**: https://www.docker.com/blog/cagent-build-and-distribute-ai-agents-and-workflows/
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'''
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welcome = '''
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Say "hello" to CAgent!
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'''
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[actions."*".install]
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command = "echo 'Install Docker Desktop 4.49+ which includes cagent: https://www.docker.com/products/docker-desktop/'"
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description = "Install Docker Desktop with cagent"
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