timesfm-autonomous-trainer

Activate when a user invokes /agentic-harness:precommit, :review, :submit, or asks to run a Prose-packaged review workflow ("precommit review", "run mr-review on MR 21", "submit MR 42 via prose", etc.). Verifies prereqs, resolves reviewer defaults, and delegates to the openprose skill which embodies the Prose VM for the actual program execution. Not for one-shot questions or static documentation lookups — decline unless the user clearly wants to run a pipeline.

Rules for deduplicating code review findings across agents

Rules for auto-dismissing code review findings that are false positives

Local GitLab MR code review orchestrator. Use when the operator asks to "review this MR", "run a local MR review", "review my branch's MR", or wants a LOCAL-only (no GitLab posts) multi-dimensional review with automatic filtering and optional fix loop. Dispatches specialized review agents in parallel (intent, security, code quality, silent failures, type design, tests, comments), applies a 4-phase filtering pipeline, and iteratively fixes Critical/Important issues until convergence.

This skill should be used when the user asks to "address MR feedback", "fix review comments", "respond to code review", "handle MR suggestions", "shepherd an MR", "resolve discussion threads", or "run the MR feedback loop". Provides a systematic workflow for reviewing, implementing, and closing GitLab MR feedback — used standalone by operators AND as the thread-handling primitive for /agentic-harness:mr-submit.

Inspect and manage shepherd agents spawned by /agentic-harness:mr-submit. Use when the operator asks to "check MR status", "list active shepherds", "resume a shepherd after restart", "retire an MR", "approve drafted thread replies", or wants a dashboard of CI state and review-thread progress per MR. Reads state files under ~/.claude/mr-shepherds/; writes nothing except in response to an explicit mode flag.

End-to-end GitLab MR lifecycle orchestration. Use when the operator says "submit this MR", "open an MR with full review", "run the MR pipeline", "submit and shepherd", or wants to take a branch from "ready to push" through merge with automatic review, push, and CI/thread monitoring. Provides simplify → iterative review loop with TaskCreate-backed findings → push → open MR → background shepherd for CI + threads.

Activate when the user says "watch MR X until it lands", "babysit MR Y", "keep MR Z healthy", "keep an eye on this MR until it merges", or asks to run a long-running shepherd that survives across sessions. Complements `mr-shepherd` (single-pass) and `mr-submit` (end-to-end one-shot): mr-watcher is the persistent tail state that polls until GitLab marks the MR `merged` or `closed`, dispatching per-cycle shepherd work as new threads/CI events land.

Activate when the user types `prose ...`, opens a `.md` file with `kind:` frontmatter, opens a `.prose` file, or asks for reusable multi-agent orchestration. Treat `prose run ...` as an in-session instruction: embody the OpenProse VM yourself; do not shell out to a `prose` binary unless the host explicitly provides one. On activation read the Markdown contract, wire services, execute with host primitives, and persist `.prose/runs/`. Decline for one-shot questions — a plain prompt is often the right answer.

Autonomously fine-tune Google TimesFM 2.5 on crypto data with two-level Optuna search, Trackio logging, and end-of-round reflection. Use when the user says "autonomously train timesfm", "optimize timesfm on crypto until it stops improving", "run the autonomous trainer", or invokes `/train-timesfm`.