Enables AI coding tools to discover local Skills, plugin metadata, and runtime tools from configured sources, then classify a task's request and produce advisory cards (skip, consult, adapt, or execute) that the host may act on. Supports staged lookups under a single route ID and collaboration planning without executing recommended business tools or expanding user authorization.
Enables coding agents to search, recommend, and validate a stack of reusable skills from a local catalog, producing deterministic plans without modifying the project.
An autonomous, extensible LLM build orchestrator. Give it a repo and a goal; it decomposes the goal into tasks, edits code, and gates every change on build/tests/lint, reverting regressions. Polygot, cost-aware model selection, pluggable via entry points. Ships as an MCP server so any client can drive it in plain English.
Enables goal-driven mission orchestration for Goose, turning a user goal into a structured plan with an approval gate, isolated workers in git worktrees, dual validation, auto-correction, and crash recovery to produce validated code.
Enables AI assistants to research topics, analyze codebases, generate requirements and user stories, scaffold starter projects, and run multi-step development workflows through natural language.