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
52 lines
1.6 KiB
TOML
52 lines
1.6 KiB
TOML
# Schema defined in agent_schema.py
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# https://github.com/block/goose
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identity = "goose.ai"
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name = "Goose"
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short_name = "goose"
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url = "https://block.github.io/goose/"
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protocol = "acp"
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author_name = "Block"
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author_url = "https://block.xyz/"
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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 = "An open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM."
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tags = []
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run_command."*" = "goose acp"
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help = '''
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# Goose 🪿
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**An open source, extensible AI agent**
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Goose is an open framework for AI agents that goes beyond code suggestions to install dependencies, execute commands, edit files, and run tests.
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## Key Features
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- **Extensible Framework**: Plugin-based architecture for custom tools and behaviors
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- **Multi-LLM Support**: Works with various LLM providers
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- **Agent Client Protocol (ACP)**: Native ACP support for editor integration
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- **Multiple Interfaces**: CLI, and ACP server modes
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## Configuration
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You can override ACP configurations using environment variables:
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- `GOOSE_PROVIDER`: Set your preferred LLM provider
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- `GOOSE_MODEL`: Specify the model to use
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---
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**Documentation**: https://block.github.io/goose/docs/guides/acp-clients/
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**GitHub**: https://github.com/block/goose
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**Quickstart**: https://block.github.io/goose/docs/quickstart/
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'''
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[actions."*".install]
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command = "curl -fsSL https://github.com/block/goose/releases/download/stable/download_cli.sh | bash"
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description = "Install Goose"
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[action."*".update]
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command = "Update Goose"
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description = "Update Goose"
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