copilot-goal-skill или agent-discovery

Goal-driven task orchestration with independent verification. Interviews the user to define a clear goal, then loops between a Builder subagent (does the work) and an Inspector subagent (judges the result with fresh context). The Inspector never trusts the Builder. Output is auditable in git commits from each subagent actions. Use when the user says "achieve this goal", "make this work", "implement until done", or wants verified autonomous task completion with independent quality review.

Agent Discovery lets developers discover, review, install, and manage AI agent configurations from a curated catalog of 687+ entries — with zero setup. It ships a pre-built SQLite index of agents, skills, and instructions from awesome-copilot and GitHub's Agent Factory, so search is instant and requires no API keys or authentication. The interactive /recommend flow analyzes your project's tech stack, surfaces relevant agents with explanations, then guides you through reviewing content before installing, customizing in your editor, or assembling multiple agents into a coordinated team with an agentic lead. Additional /list and /edit commands let you manage everything you've installed without leaving Claude Code.