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infragateUnified configuration and management for AI coding agents
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Summary
CAPA addresses the fragmented configuration landscape for AI coding agents by providing a unified package manager. It allows users to define skills, tools, rules, and plugins in a single capabilities.yaml file, which CAPA then translates into provider-specific formats for over 35 agents. This simplifies setup, ensures consistency, and optimizes agent performance through on-demand tool exposure, benefiting developers managing complex AI agent workflows.
How It Works
The core mechanism revolves around a declarative capabilities.yaml file where users specify agent capabilities. The capa install command processes this file, resolving dependencies, generating provider-specific configurations (e.g., .cursor/rules/, .claude/agents/), and registering necessary services like MCP servers. A key design choice is on-demand tool exposure, where agents only access tools as needed, significantly reducing context window size and associated costs without compromising quality. Reproducibility is ensured via capabilities.lock and a SHA-keyed cache.
Quick Start & Requirements
curl -LsSf https://capa.infragate.ai/install.sh | shpowershell -ExecutionPolicy ByPass -c "irm https://capa.infragate.ai/install.ps1 | iex"capa init in your project directory to create capabilities.yaml.capa add <source> (e.g., capa add anthropics/skills@frontend-design).${BraveApiKey}). A local HTTP server runs for the web UI and API.capa.infragate.ai. Full documentation, schema, and registry catalog at https://capa.infragate.ai.Highlighted Details
capa sh provides a CLI interface to execute defined MCP tools and shell commands directly.beforeShell) into provider-specific configurations.capabilities.lock ensures deterministic builds by pinning resolved commit SHAs.Maintenance & Community
The README does not detail specific community channels (like Discord/Slack) or notable contributors/sponsorships.
Licensing & Compatibility
Limitations & Caveats
1 day ago
Inactive
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