Menu
Run a repeatable training sprint loop: implement, validate, commit, push, and CI check with clear evidence and scoped commits.
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
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.
| name | training-sprint-loop |
| description | Run a repeatable training sprint loop: implement, validate, commit, push, and CI check with clear evidence and scoped commits. |
| argument-hint | Task slice, validation scope, and commit intent |
| user-invocable | true |
| disable-model-invocation | false |
Inherits from task-core-loop.
Use this skill for short, repeatable training-focused delivery rounds where each round ends in a pushed checkpoint and CI status update.
task-core-loop steps first.status.json, benchmark.json, event traces) when relevant.gh run list status refresh per round.