MemorySmith

Monitor CI conservatively with snapshot-first status checks and actionable failure triage.

Submit a pull request, request review, triage comments, fix issues, and use script-driven review waits with a bounded timeout before merge/cleanup. Use when implementation is complete and the branch is ready for PR handling end to end.

Audit and reconcile drift between agent/prompt docs and actual runtime capabilities in MemorySmith services/controllers.

Run a repeatable hygiene audit over Data/Memories and Data/Pages for drift, stale facts, broken source links, and cleanup candidates.

Run a MemorySmith LLM council review for high-impact decisions. Use when evaluating schema changes, retrieval/search behavior, chat or agent write governance, wiki conventions, or long-term architecture tradeoffs with explicit dissent, risks, confidence, and acceptance criteria.

Run an agent self-review for skill and prompt improvements, including script extraction opportunities and token-conscious workflow upgrades.

Shared core workflow for MemorySmith task execution: scope, evidence, minimal-change implementation, validation, and tracking updates.

Run a /tasks-first implementation loop from active task selection through validation evidence and task status/comment updates.

Run a full deep-dive, evidence-first codebase audit and convert findings into prioritized sprint plans with implementation-ready task documents. Use when you need comprehensive architecture, quality, risk, and delivery planning from current code and docs.

Run a repeatable training sprint loop: implement, validate, commit, push, and CI check with clear evidence and scoped commits.