skills-autonomous-engineering

Review a change across every dimension at once, then keep only the findings that survive an adversarial check — autonomously. It fans out independent reviewers over the diff (correctness, security, performance, maintainability/readability, test adequacy, API/contract & compatibility), dedups their findings, and puts each through a majority-refute verification so false positives never reach you or drive a fix. Survivors come back severity-labeled and actionable (file:line, why, suggested fix), and — if you ask — a bounded fix loop resolves the confirmed blockers. It fails closed: a dimension that didn't actually run is reported as a gap, never as "clean". This is the REVIEW phase. Composes fan-out-work (dimensions), adversarial-verify (confirm findings), converge-loop (optional fix), and checkpoint-resume.

Make long autonomous work durable and resumable: a live .ulpi/runs/<id>.json status file (per-unit + per-phase state, atomic locked writes via the bundled scripts/checkpoint.mjs CLI) that a resume reads to SKIP everything already done — session-independent. Status writes are non-fatal observability. Use for any multi-unit run worth resuming after a stop or crash.

Implement a whole DAG plan autonomously — one approved pass, one clean rollback point per task, never building on a broken base. It requires an approved plan (specced upstream) and a clean git baseline, takes a SINGLE human approval of the plan, then walks the DAG layer by layer: for each task it implements on an isolated worktree branch test-first (RED → GREEN), integrates the slice onto the working branch, reviews the integrated change, runs a bounded fix loop until the task passes, and commits it individually — so any point is a clean rollback. It follows the dependency graph strictly (a task builds only once its deps integrate), checkpoints every task so it resumes exactly where it stopped, and STOPS-and-asks on unfixable failures, ambiguity, or irreversible steps rather than pushing through. This is the BUILD phase. Composes fan-out-work (per layer), converge-loop (per-task fix), adversarial-verify (per-task review), checkpoint-resume, and budget-guard.

Run the whole engineering lifecycle end-to-end from one request — spec → plan → build → simplify → test → review → performance → ship — as a single autonomous pass with ONE human approval (the plan) and hard-gated escalation for anything irreversible. It chains the auto-* phase skills, carries a durable pipeline checkpoint so a stop/crash resumes at the exact phase and task it left off, watches the signal between phases (a phase that misses its gate is recorded blocked and surfaces in the register — fail closed, no false-green downstream), and returns a verified findings register at the end. It does NOT loop on its own: after one pass it reports what shipped and what's open, and the user decides on any fix round. This is the top-level "maximise autonomous agents" entry point. Composes every auto-* phase plus checkpoint-resume, budget-guard, watch-and-act, and adversarial-verify.

Turn a spec into a self-reviewed DAG of atomic build tasks: each task gets acceptance criteria, a disjoint write scope (≤3 files), and a slice-scoped validate; dependencies are wired and layered topologically so nothing builds on a missing base. Adversarial critics then attack the graph (cycles, phantom paths, coverage vs spec, task independence) until it is clean. Writes .ulpi/plans/<name>.json. Use when a spec needs an implementable, ordered breakdown before building.

Cover a large work-list in parallel without losing correctness or honesty — scout the items inline, then run each through its stages concurrently (map, optionally reduce) via the Workflow tool, with concurrency caps, per-item isolation where items mutate files, and an explicit account of anything dropped. Use when the task is "do the same thing to N independent things" — audit every module, migrate every call site, write tests for every gap, review every changed file — and N is big enough that serial is wasteful. It keeps the coordinator in control of the decision to continue while the per-item work runs in agents; it never silently truncates (a top-N/sampling cap is logged), and it aggregates results faithfully (a failed item becomes a reported null, not a hidden success). Composes with converge-loop (per-item loops) and adversarial-verify (gate each item's result).

Turn a raw feature request into a grounded, TESTABLE spec — autonomously. It recons the real repo and domain to ground every claim, drafts a spec (objectives, user-visible behavior, acceptance criteria, explicit non-goals, constraints, interfaces, risks), then runs a completeness-critic loop that adversarially hunts for gaps, ambiguity, and untestable criteria and fixes them until the spec is stable. Every acceptance criterion it emits is measurable (you could write a test for it); every requirement is grounded in the repo or flagged as an assumption — no invented requirements, no phantom paths. It writes `.ulpi/spec/<name>.md` and is the DEFINE phase that feeds auto-plan. Composes fan-out-work (recon), adversarial-verify (the critic), converge-loop (until-stable), and checkpoint-resume.