Audit a window of recent commits for real defects, confirm each finding before fixing, verify every surface a fix touches, then report confirmed/dismissed/no-op with evidence. Enforces Law 4 (Verify Before Reporting).
Distill repeated successful tool sequences from the observation log into reusable draft instincts, with an explicit propose-edit-promote ladder. Enforces Law 7 (Learn From Every Session).
Check whether recent tool activity still relates to the stated goal in taskplan.md, reporting a drift score and the top off-goal tool calls. Enforces Law 2 (Plan Is Sacred).
Grilling session that challenges your plan against the existing domain model, sharpens terminology, and updates CONTEXT.md + ADRs inline as decisions crystallise. Ported from mattpocock/skills under MIT.
Turn an ambiguous or high-impact change into scoped, verifiable acceptance criteria (observable AC-NNN, explicit scope, named verification methods, and a [revised] protocol that forbids silently dropping a criterion) before or alongside implementation. Enforces Law 2 (Plan Is Sacred).
Execute the agent's prior recommendation list under the 7 Laws — walk in order, route per item, verify, reflect. Standalone companion skill with inline fallbacks when other skills are not installed.
Parallel multi-agent readiness gate — fan blind reviewers across performance, security, UI/UX, test coverage, and simplicity, each grounding findings in real code/logs/live data, then reconcile into one deduplicated, severity-ranked punch-list. Reports only; never fixes, merges, or deploys.
Search past tool-call observations with BM25 ranking to answer "have I seen this before?" before re-deriving a fix or repeating a mistake. Enforces Law 1 (Research Before Executing).
Establish git ground truth (branch, status, stashes, worktrees, ahead/behind) before any mutation, halt on protected or destructive operations, then carry the known-good state through a single-concern commit, a push, an open PR, and — after the PR merges — a fast-forward of the default branch. Enforces Law 1 (Research…
Autonomous multi-PR release train — plan stacked single-concern PRs, open each on its own branch, monitor CI, rebase on conflicts, and ship in dependency order while you sleep. Driven by report.html horizon item 'Autonomous Multi-PR Release Trains'.
Convene a 5-persona adversarial council (Contrarian, Expansionist, Logician, Researcher, Buyer) to pressure-test an idea, then deliver one GO / RESHAPE / KILL verdict plus the cheapest 48-hour test to de-risk it. Enforces Law 1 (Research Before Executing).
Brand-aligned alias for /continuous-improvement. Reflect on the current session, analyze observations for patterns, and show instinct status under the 7 Laws of AI Agent Discipline.