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…
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.
Design, review, and validate Codex app automations when recurring background workflows need safe scheduling, scope, preflight, and consolidation.
Install, update, audit, diagnose, and explain @brainwav/coding-harness when repository governance, harness init, CI migration, or action-sync needs live command evidence.
Turn Slack #code-fixes, CodeRabbit, Codex Review, CI, and check-status noise into a repo-and-PR action queue.
Remove AI slop and corporate jargon from text without applying a personal voice. Use when the user asks to "unslopify", "remove AI slop", "deslopify", "clean up AI writing",…
Build and audit polished interaction refinements for existing React or Tauri UI when motion, accessibility, reduced-motion, and browser-verified behavior need focused improvement.
Compress HE cognition artifacts into evidence-backed strategy. Use when intent, review, triage, ADR, core, or source-prompt comparison evidence needs durable direction.
Use when the user asks about Patrick Debois's talk \"Coding Agents Don't Scale Themselves. Neither Do Your Teams.
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…
Create, install, validate, and orchestrate Codex custom subagents as standalone TOMLs with canonical global defaults (`~/dev/configs/codex/agents/{name}/{name}.toml`,…
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,…
Refine Harness Engineering artifacts, plans, specs, or work into clearer action plans. Use when users ask for tightening, simplification, or lifecycle repair.
Use when the user asks about Dave Kerr's AI Native DevCon talk on bipolar disorder, dysregulation, and AI, including responsible interpretation of personal and clinical themes…
Ship skill changes to PRs when Codex skills need source edits, rooted sync, strict audit, reviewer evidence, commit, push, and PR status.
Review services, APIs, and multi-component systems for reliability risks including failure modes, cascading failures, resilience gaps, and SLO readiness.
Explains Robert Overweg's One Brain, No Filtering talk and helps design safe knowledge-memory systems: context maps, retrieval rules, provenance labels, local knowledge-store…
Summarizes, explains, and applies Lars Trieloff's AI Native DevCon talk on browser-native agents. Use for browser agents, running AI in the browser, browser-as-runtime…
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…
WHAT: Route plugin-factory requests to the right lane. WHEN: Use when plugin creation, building, installation, review, or routing is broad, mixed, or under-specified.
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…
Scan Codex session history for skill failures, usage patterns, and coverage gaps. Use when the user wants daily skill-health monitoring or evidence-backed recommendations about…
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…
Implement approved Harness Engineering work. Use when a plan, todo list, or tiny spec needs traceable delivery and validation.
Routes old phase-heartbeat requests into HE phase work: check the approved plan, reuse or create a 10-minute continuation only with authority, run phase gates, delegate the active…
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)…
Analyze, review, and plan architecture alternatives through a structured interview. Use when the user needs tradeoffs surfaced before implementation or a Linear decision note…
Create or refactor AGENTS.md and linked instruction docs using progressive disclosure. Use when the user wants repo-specific agent guidance organized, deduplicated, or routed…
Analyze, compare, and recommend a Codex build primitive. Use when the user is packaging or automating a workflow and the right primitive is unclear.
Diagnose, fix, and validate mise runtime failures. Use when commands fail from mise config, missing runtimes, stale pins, trust prompts, or shell activation drift.
Explains, summarizes, and turns Matthias Luebken's talk on embedding Pi-style coding agents into safe product-design artifacts: tool-contract sketches, guardrail checklists,…
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…
Analyze options and trade-offs before traceable work is ready, without pretending exploration is a plan.
Explains James Moss's team-skills workflow and helps design skill governance: decomposition, ownership, versioning, eval scenarios, quality review, and lifecycle maintenance.
Automate until-green PR review, CI, merge, and cleanup follow-through. Use when open project PRs need GitHub/gh, CodeRabbit, CircleCI, Context7, Snyk, autofix, heartbeat, and…
Create or refresh evidence-bound Harness Engineering learning artifacts from verified solved problems.
Plan how to implement one approved slice, including file targets, validation gates, rollback, and proof lanes.
Route skill lifecycle requests to a Skill Factory lane. Use when users ask to create, harden, install, audit, or skillify skills.
Runs approved Harness Engineering plans in recurring phases: check live state, confirm continuation authority, execute only the active he-work slice, verify gates, update Linear…
Generate closure proof with exact commands, outcomes, artifact paths, untested lanes, and residual risk.
Review and prune stale branches safely. Use when branch cleanup needs evidence, protected-branch caution, PR awareness, and non-destructive recommendations.
Convert approved HE cognition into small live-ready Linear execution tracking. Use when strategy, reframe, plan, bug, or source-prompt evidence needs scoped issue, milestone, or…
Answers questions about, summarises key insights from, and applies the security guidance of Joseph Katsioloudes's talk 'Code Security Reinvented: Navigating the era of AI'.
Explains Kevin Groetzinger's Skills Everywhere talk and helps teams operationalize reusable skills: trigger design, ownership, discoverability, maintenance, quality review, and…
Summarizes, explains, and answers questions about Dave Farley's talk 'Vibe Coding — Is this really the best we can do?', including key arguments, frameworks, and recommendations.
Run, audit, and design authorized Recon Workbench workflows when scoped target interrogation needs evidence artifacts, redaction, validation, and safe reporting.
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 Katie Roberts's talk \"Stop Maintaining, Start Evolving: Applying AI-Native Engineering in Brownfield Codebases\" (AI Native DevCon, June 2026) —…
Explains Oleg Selajev's Docker Sandboxes talk and helps design safe, conceptual agent-isolation policies: file-sharing boundaries, network policy, secret isolation, audit…
Generate closure-grade HE eval and drift proof for one execution slice. Use when Linear, milestone, or source-prompt closure needs validation evidence.
Create, validate, and repair Project Brain .harness memory files when setting up Project Brain, saving repo learnings, recording decisions, or preserving quality rules.
Use when the user asks about Ryan Lopopolo's AI Native DevCon talk on harness engineering, steering coding agents with goals, constraints, context, tool scope, eval loops, and…
Assists with questions about Guy Podjarny's talk \"Skills are the new Code\". Use when the user wants to understand, apply, audit, or explore frameworks from this keynote —…
Create one selected trace or tracker slice spec with acceptance criteria, constraints, validation, and exit conditions.
Define problem scope, requirements, and decision options before spec or plan stages. Use when the user has ambiguity in what to build, why it matters, or which direction to choose.
Create a durable guardrail, validator, doc, eval, or skill-reference update from a verified failure or learning.
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.
Use when creating, auditing, upgrading, or validating Codex hook packs, hooks.json files, hook scripts, or repo-local/user-level .codex hook installs.
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,…
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.