Use Agent Dispatch MCP tools only when the user names an external dispatch target or another skill explicitly requires dispatch. Do not use it for generic subagent, second-agent, or fresh-context requests; use the built-in subagent instead.
Manage local skills backed by known remote Git repositories. Use when the user wants to import, inspect, diff, pull, resolve, push, reset, or remove them, or project current local skills to enabled clients with al sync. Do not use to discover new skills or create user-owned skills.
Run A/B tests of skills, instructions, agents, harnesses, and other coding-agent system changes with Agent Layer's DeltaSelect benchmark workflow. Use to select tasks, run or resume a benchmark, interpret score and cost results, or investigate why results changed.
Manage ordered local and Git-backed Agent Layer instructions. Use for known instruction imports, status, diff, pull, resolve, reset, push, removal, and projection.
Explore Agent Layer through real tasks and inventive experiments in disposable projects; investigate failures, usability friction, and batch fixes. Use for product dogfooding in this repository, excluding skill-content evaluation and A/B benchmarks.
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originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: