factory-learn

What this skill does

factory-learn orchestrates the continuous improvement learning loop of the software factory. It coordinates individual learning-related skills (team-init, team-levelup, change-init, change-clarify, change-publish, team-repair, evals-analyze) to transition draft directives into verified, published, and minimal team context assets.

It operates as a Kind-A DAG orchestrator in alignment with the shared executor engine contract in factory-mission/references/executor.md.

When to use

• You want to extract and compile hard-won session learnings into your team's centralized team-ai-directives repository.
• You want to mine git commit history to capture the rationale (ChDRs) behind past reverts and hotfixes.
• You want to run "Build to Delete" (Harness Decay checks) to prune redundant rules.

When NOT to use:

• For product-level specification or development (use factory-product or factory-mission instead).
• If the team directives repository is completely unconfigured (run /team-setup first).