Analyze session work and automatically convert reusable patterns into Claude Code skills. Use when: "세션을 스킬로", "스킬 만들어", "이거 스킬로", "skill factory", "이 작업 자동화해", "스킬 추출", "make…
Plan how to implement one approved slice, including file targets, validation gates, rollback, and proof lanes.
Create, install, validate, and orchestrate Codex custom subagents as standalone TOMLs with canonical global defaults (`~/dev/configs/codex/agents/{name}/{name}.toml`,…
Summarizes Simon Maple's AI Native DevCon welcome and explains the conference framing: context window, latent space, tool pool, hallway track, attendee goals, and practical…
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…
Create and validate implementation-grade CLI specifications when command trees, JSON contracts, dry-run plans, errors, or agent-ready behavior need a binding spec.
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,…
Analyze broad frontend design requests and route them to the correct local UI skill after classifying intent and maturity.
WHAT: Generate local Codex usage reports. WHEN: Use when users ask for usage analytics, weekly insights, session summaries, telemetry patterns, or prompting help.
Plan traceable work bullets that connect intent, evidence, acceptance, and proof gaps. Use when an idea or reframe needs decomposition into traceable work units before tracker or…
Deepen an existing implementation plan so sequencing, verification, and risk treatment are strong enough for execution.
Use when the user asks about Luke Marsden's talk \"Giving Every Agent Its Own Desktop: Lessons from Dogfooding HelixML\" — including questions about HelixML, giving each agent its…
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,…
Create one selected trace or tracker slice spec with acceptance criteria, constraints, validation, and exit conditions.
Analyze, review, and plan architecture alternatives through a structured interview. Use when the user needs tradeoffs surfaced before implementation or a Linear decision note…
Answers questions about, retrieves safe excerpts from, explains concepts from, and summarizes key arguments in Birgitta Böckeler's talk \"State of Play: AI Coding Assistants\" (AI…
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…
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.
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.
Use when the user asks about Patrick Debois's talk \"Coding Agents Don't Scale Themselves. Neither Do Your Teams.
Use when the user asks about Steve Ruiz's AI Native DevCon talk on tldraw, Make Real, annotations as prompt input, canvas workflows, tldraw computer, and agents collaborating on…
Review and prune stale branches safely. Use when branch cleanup needs evidence, protected-branch caution, PR awareness, and non-destructive recommendations.
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 Dana Lawson's talk \"Built for Humans. Now Agents Are Here.\" (Netlify CTO, 2026) — including questions about Agent Experience (AX), the AX paradox,…
Generate, validate, and refresh @brainwav/diagram architecture artifacts when repo diagrams, context packs, PR impact, or CI drift evidence is needed.
Use when creating, installing, validating, folding, or troubleshooting Codex custom subagent role TOML and discoverability config.
Use when the user asks about Ian Thomas's talk \"AI Native Engineering\" (Meta / Reality Labs / Horizon Experiences) — including questions about Meta's AI4P (AI For Productivity)…
Review, create, and validate Bash scripts when shell work needs strict mode, quoting safety, portability, or interpreter-compatible behavior.
Improve existing Harness Engineering implementations or workflows with evidence-backed changes. Use when users ask for targeted enhancement of shipped or drafted work.
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…
Run, plan, and validate pnpm workspace operations. Use when a user needs pnpm monorepo installs, tests, builds, filters, changed-package selection, or publish routing.
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, repair, and validate uv Python project setup. Use when initializing Python apps or libraries, managing uv dependencies, virtual environments, or CI-ready uv workflows.
Answers questions about Brian Douglas's talk on training AI on your own code. Use when a user asks about Brian Douglas's pipeline for capturing agent sessions, extracting skills…
Plan a stuck, stale, or unsafe frame into a smaller viable direction with rollback and decision boundaries.
Turn Slack #code-fixes, CodeRabbit, Codex Review, CI, and check-status noise into a repo-and-PR action queue.
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 Maximiliano Firtman's (\"Maxi\") AI Native DevCon talk on Web MCP and the agentic web — including questions about how Web MCP differs from MCP,…
Analyze repo, tracker, PR, validation, session, and .harness evidence. Use when multi-stage Harness Engineering work needs safe resume routing.
Design, review, and validate Codex app automations when recurring background workflows need safe scheduling, scope, preflight, and consolidation.
Use when the user asks about Simon Obstbaum and Rob Willoughby's AI Native DevCon talk on measuring AI agents, output evals versus trajectory evals, instrumentation, compliance,…
Use when the user asks about Macey Baker and Baruch Sadogursky's workshop-style AI Native DevCon session on turning repeated agent work into skills, rules, scripts, hooks, and…
Use when a Codex goal/task is stuck, hanging, not finishing, or needs status. Reads goal.md, state.yaml, receipts.jsonl; syncs reported status with board files; fixes invalid…
Diagnose, fix, and validate mise runtime failures. Use when commands fail from mise config, missing runtimes, stale pins, trust prompts, or shell activation drift.
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…
Analyze stale or conflicting lifecycle state by separating local, PR, CI, review, tracker, artifact, and session truth.
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…
Generate closure proof with exact commands, outcomes, artifact paths, untested lanes, and residual risk.
Implement approved Harness Engineering work. Use when a plan, todo list, or tiny spec needs traceable delivery and validation.
Create, review, and maintain gold-standard Skills SDK eval scenarios before internal evals, dry Tessl staging, or live private Tessl scoring.
Generate, review, and refine high-retention technical YouTube hooks, outlines, and scripts. Use when the user wants video scripting tailored to a topic, audience, runtime, and…
Route skill lifecycle requests to a Skill Factory lane. Use when users ask to create, harden, install, audit, or skillify skills.
Explains James Moss's team-skills workflow and helps design skill governance: decomposition, ownership, versioning, eval scenarios, quality review, and lifecycle maintenance.
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…
Build only the approved slice while preserving scope, unrelated worktree changes, and validation evidence.
Answers questions about, summarizes, and applies May Walter's AI Native DevCon talk \"From Blind Spots to Merged PRs\" on runtime intelligence for coding agents.
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…
Use when a project or Codex runtime needs environment TOML created, triaged, or updated with safe setup, actions, exec-server providers, and validation evidence.
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…
Build behavior-safe code changes with TDD and RED/GREEN evidence. Use when he-plan or he-work requires TDD for a concrete behavior target.