autoharness
Autoharness, a self-learning skill layer for Claude Code, distills skills from your real sessions, updates them as you work, and prunes the ones that stop getting used. No daemon, no benchmark.

Autoharness, a self-learning skill layer for Claude Code, distills skills from your real sessions, updates them as you work, and prunes the ones that stop getting used. No daemon, no benchmark.
A decision board for evidence-based design calls, where the human decides and the agent handles the bookkeeping. Sources, ideas and output are kept as plain markdown and shown on a visual canvas, for use with Claude Code and other SKILL.md-compatible agents.
Influencer discovery & contact enrichment pipeline that runs as a Claude Code skill, 15 channels, stdlib only, appends to a Google Sheet.
A decision board for evidence-based calls — the human adjudicates, the agent runs the errands. Three layers (sources → ideas →…
Find the bloggers/creators who can help promote your work, capture their contact info, and append them to the target sheet in…
Use when users /learn, save, remember, or distill lessons.
Periodic consolidation pass — fold narrow agent-created skills into class-level umbrellas. Proposes intents only, never writes to…
Distill a finished episode into skill changes aligned with the existing library. Compare-first preference, generation stays open;…
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