Install one, then just prompt in plain English. The FLOW.md fires the right skill at the right moment. No re-orchestration, no babysitting.
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Point at any LLM agent codebase. Harness Evolver will autonomously improve it — prompts, routing, tools, architecture — using multi-agent evolution with LangSmith as the evaluation backend.
@raphaelchristiUse when the user wants to verify that the evolved agent's score is stable and reliable. Runs evaluation multiple times and reports mean ± std.
@raphaelchristiUse when the user is done evolving and wants to finalize, clean up, tag the result, or push the optimized agent.
@raphaelchristiUse when the user wants to smoke-test the evolve pipeline, test tools, or verify the plugin works end-to-end. Also use when the user says 'dry run', 'smoke…
@raphaelchristiUse when the user wants to release a new version, publish to npm, create a GitHub release, bump version, or tag a release. Also use when the user says…
@raphaelchristiUse when the user wants to validate the plugin, check integrity, verify cross-references, or before a release. Also use when the user says 'validate', 'check…
@raphaelchristiUse when the user wants to run the optimization loop, improve agent performance, evolve the agent, or iterate on quality. Requires .evolver.json to exist (run…
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