lorekit-setup

Sets up a self-improvement loop for a skill, workflow, or agent using LoreKit, so a host gets better across runs by reading its own accumulated lessons at the start of every run and hardening the proven ones into permanent rules. Designs the two tiers (a fast episodic tier of LoreKit lessons, advisory-only; a slow procedural tier that promotes a recurring lesson into a host rule), chooses the lesson bucket (tag + key namespace) and scopes, and installs the entrenchment guards that stop a learning loop from reinforcing its own mistakes. Also covers the non-LLM case: giving a deterministic job (a GitHub Actions workflow, a cron script, a release pipeline) durable JSON state records so it knows what happened on its last run — flaky tests, a benchmark baseline, the last deployed SHA — in the same store agents read. Runtime reading and writing of lessons is the lorekit-memory skill; this is the authoring counterpart. Use when giving a host durable cross-run memory or wiring a lessons loop. Triggers on "set up memory for my skill", "add a self-improvement loop", "give my workflow memory", "make this learn from its mistakes", "self-improving memory", "memory in CI", "GitHub Actions state", "remember the last CI run", "/lorekit-setup".