Diagnose Codex Desktop or CLI local-state bloat and safe recovery options. Use when sessions, archived history, logs, worktrees, or stale Codex config may be making Codex feel…
Run, plan, and validate pnpm workspace operations. Use when a user needs pnpm monorepo installs, tests, builds, filters, changed-package selection, or publish routing.
Restore broken behavior by reproducing failures, identifying root cause, and delivering verified fixes.
Create, review, or repair recurring Harness Engineering heartbeats that wake a thread, re-check live state, and route back into the right HE stage; use when PRs, CI, reviews,…
Review, triage, and validate visual regression diffs. Use when the user wants snapshot-change analysis, layout regression evidence, Storybook diffs, Playwright screenshots, or…
Explains Paul Stack's architecture-first AI workflow and helps create safe design artifacts: intent documents, architecture constraints, planner/reviewer loops, UAT criteria, and…
Analyze and validate compound Harness Engineering run state, blockers, validation status, and Linear context.
Answers questions about Lamis's (Anthropic) AI Native DevCon talk on context engineering, agent memory systems, and dreaming — an asynchronous, out-of-band memory-curation…
Use when the user asks about Maximiliano Firtman's (\"Maxi\") AI Native DevCon talk on Web MCP and the agentic web — including questions about how Web MCP differs from MCP,…
Summarizes Rob Sloan's harness-engineering talk and creates safe design artifacts for agent context beyond code: product-intent packets, design constraints, acceptance criteria,…
Create, review, and validate an alignment checkpoint. Use when a request is ambiguous, high-stakes, multi-step, or requires explicit approval before tool use.
Review the completed slice for correctness, risk, evidence gaps, and next-stage blockers. Use when the user asks for review, PR readiness, risk assessment, blocker identification,…
Run a bounded Harness Engineering lifecycle across multiple stages. Use when the user wants coordinated brainstorm, spec, plan, work, review, and fix flow rather than one isolated…
Analyze, design, or triage LLM evaluation workflows. Use when the user asks for evaluator design, error analysis, judge prompts, RAG evals, synthetic data, or review tooling.
Analyze stale or conflicting lifecycle state by separating local, PR, CI, review, tracker, artifact, and session truth.
Create, review, and maintain gold-standard Skills SDK eval scenarios before internal evals, dry Tessl staging, or live private Tessl scoring.
Analyze repo, tracker, PR, validation, session, and .harness evidence. Use when multi-stage Harness Engineering work needs safe resume routing.
WHAT: Generate local Codex usage reports. WHEN: Use when users ask for usage analytics, weekly insights, session summaries, telemetry patterns, or prompting help.
Create and validate implementation-grade CLI specifications when command trees, JSON contracts, dry-run plans, errors, or agent-ready behavior need a binding spec.
Deepen an existing implementation plan so sequencing, verification, and risk treatment are strong enough for execution.
Create evidence-backed HE reframe migration programs. Use when structural drift, routing ambiguity, or source-prompt gaps need phased rollback-safe execution.
Use when the user asks about Peter Wilson and Davide Eynard's AI Native DevCon talk on cq, a Stack Overflow-like knowledge commons for agents, local/team/public knowledge sharing,…
Analyze recent Codex session evidence for repeated manual workflows and route them to skills, subagents, validators, or no artifact when Jamie asks what he keeps doing manually.
Generate and compare grounded product or engineering directions with tradeoffs. Use when users want possibilities, critique, or direction-setting before a spec.
Review PRs, branches, diffs, and workflow artifacts for package-level go/no-go readiness with severity-ranked synthesis.
Assists with questions about Hannah Foxwell's talk 'The Reinvention of the Dev Team'. Use when a user asks about Foxwell's arguments on agentic software development, engineering…
Deepen an existing system or UI spec so boundaries, lifecycle rules, failure handling, and validation are strong enough for planning.
Use when the user asks about Daniel Jones (Deejay) and Tomasz's talk \"More software, faster — Odevo's AI Native transformation\" — including questions about how Odevo (Sweden's…
Analyze broad, mixed, or unclear Plugin Factory follow-up requests and select the correct plugin lane. Use when plugin intent lacks a clear lane owner.
Review, configure, and troubleshoot prek hooks when users need prek.toml edits, shim installs, hook validation, or pre-commit migration help.
Use when the user asks about Justin Cormack's AI Native DevCon talk on tests, observability, AI-generated behavior, evidence, instrumentation, and keeping AI systems honest when…
Check if a repository or agent-facing product surface is ready for AI coding agents. Use when you need to audit repo agent compatibility, review AGENTS.md, find missing test/build…
Plan tracker-ready slices with dependencies, labels, acceptance fields, and validation placeholders. Use when trace work needs Linear-ready or tracker-ready issue structure…
Use when the user asks about Amit Kushwaha's AI Native DevCon talk on benchmarking agent-era systems, measuring performance beyond single LLM calls, inference, workflow…
Answers questions about, summarises key insights from, and helps apply concepts from Simon Martinelli's talk \"Lessons from Spec-driven Development\" — providing verbatim-grounded…
Write Harness Engineering specs before planning. Use when a feature, QA report, Linear issue, or UI source needs a clear WHAT contract.
Use when the user asks about Don Syme's AI Native DevCon talk on Continuous AI, GitHub agentic workflows, repository automation, and safe developer-controlled automation loops.
Use when the user asks about Shachar Azriel's AI Native DevCon talk on executable specs, verification layers for agentic coding, planner/verifier separation, requirement mapping,…
Use when the user asks about Christopher Batey's talk 'Building Product Teams in the Age of AI: What We Had to Relearn Every Quarter' (Latent Space, 2026) — including questions…
Install, repair, and validate Vale prose linting. Use when users need Vale config, style sync, docs lint gates, or broken Vale workflow diagnosis.
Route ambiguous Harness Engineering requests to one lifecycle stage when users ask where to start, resume, plan, implement, review, debug, schedule a heartbeat, or resolve domain…
Use when the user asks about Lieven Scheire's talk \"Artificial Intelligence\" (a Belgian physicist/comedian's keynote on AI for a developer audience) — including questions about…
Capture a completed Codex workflow as a reusable SKILL.md package by analyzing session context plus optional session-collector evidence, interviewing the user with structured…
Explains and applies Liran Tal's AI Native DevCon talk on skills security. Use for questions about skill supply-chain risk, AI tool vetting, third-party plugin risks, provenance…
Use when the user asks about Katie Roberts''s talk \"Stop Maintaining, Start Evolving: Applying AI-Native Practices to Brownfield Codebases\" — including questions about using AI…
Selects the correct Harness Engineering lifecycle stage and compatibility alias route. Use when a request is ambiguous, mixes brainstorm/spec/plan/work/review intent, references…
Audit, validate, and troubleshoot Agentation integrations in frontend apps. Use when annotations, MCP registration, endpoint sync, webhook delivery, or watch mode readiness are…
Use when you need focused cleanup audits, safe removals, scoped quality-risk reductions, and evidence-backed cleanup plans before touching code.
Plan execution work from specs, brainstorm outputs, bugs, or feature requests into an implementation-ready sequence.
Answers questions about, applies frameworks from, and generates artifacts based on Tammuz Dubnov's talk \"When Our PM Started Writing Code: What Merge Rate Taught Us About AI…
Assists with questions about a practitioner panel talk titled 'From Pipelines to Prompts: Surviving the Shift to AI' featuring Stephane Jourdan, Simon (Saxo Bank), and Samantha.
Explains the Product Brain talk and helps design curated product-memory systems for AI-assisted product work: knowledge structure, provenance, synthesis cadence, ownership, and…
Generate, validate, and refresh @brainwav/diagram architecture artifacts when repo diagrams, context packs, PR impact, or CI drift evidence is needed.
Explains Jack Wotherspoon's Humans vs Slop talk and helps create quality gates for AI-heavy software work: review-cost analysis, slop detection heuristics, durable-value metrics,…
Use when a project or Codex runtime needs environment TOML created, triaged, or updated with safe setup, actions, exec-server providers, and validation evidence.
Plan AI-native hackathon scope, demo pitch, and judge Q&A. Use when the user needs 1-hour pitch prep, 24-hour build scoping, AI Native DevCon-style track choice, idea pressure…
Build only the approved slice while preserving scope, unrelated worktree changes, and validation evidence.
Provides detailed answers, conceptual explanations, workflow guidance, and framework-based analysis about Edouard Maleix's talk \"How AI-First Dev Teams Build Collective…
Use when the user asks about Shaun Smith's AI Native DevCon talk on MCP transports, remote Streamable HTTP servers, stateless protocol direction, Hugging Face MCP adoption, and…
Use when creating, installing, validating, folding, or troubleshooting Codex custom subagent role TOML and discoverability config.