az-skills

In the author's own words, from each skill's SKILL.md.

• design-roundtable

  5 legendary designers debate your brief in parallel using the most powerful AI model available. Spawns sub-agents as Dieter Rams, Jony Ive, Massimo Vignelli, Naoto Fukasawa, and Hella Jongerius — each explores independently, then synthesizes into a ranked consensus. Use when starting a new screen, component, or visual direction and you want breadth before committing.

  skills/design/design-roundtable/SKILL.md on GitHub (opens in a new tab)

• az-skills-feedback

  Submit feedback about az-skills to Hivenet. Use when a skill, tool, doc, CLI, MCP, or API is broken, confusing, missing, outdated, or notably good; when an az-skills task fails after real effort or needs a workaround; or when continuing a feedback thread or answering a team question.

  skills/engineering/az-skills-feedback/SKILL.md on GitHub (opens in a new tab)

• call-advisor

  Call the premium Fable advisor through Claude Code CLI from Codex for hard judgment, architecture, product thinking, frontend/design critique, and high-stakes decisions. Treat the advisor as the smartest and most expensive local AI. Use when the user asks to call an advisor, consult Fable/Claude, get a second opinion, compare another agent's output, improve design quality, reason through a hard p…

  skills/engineering/call-advisor/SKILL.md on GitHub (opens in a new tab)

• call-worker

  Call the fast Codex GPT-5.5 worker through Codex CLI from Codex or another terminal for clean code implementation, focused repo exploration, tests, refactors, bug fixes, and mechanical engineering tasks. Treat the worker as fast and strong at code, but less suited than the Fable advisor for hard judgment and frontend/design taste. Use when the user asks to call a worker, trigger Codex from the CL…

  skills/engineering/call-worker/SKILL.md on GitHub (opens in a new tab)

• code-review

  Multi-lens code review — spawns parallel sub-agents to independently review branch changes for bugs, security, and design, then validates and reports only high-signal findings. Use when you want a thorough review before merging or when self-reviewing your own changes.

  skills/engineering/code-review/SKILL.md on GitHub (opens in a new tab)

• code-simplifier

  Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality. Use when asked to "simplify code", "clean up code", "refactor for clarity", "improve readability", or review recently modified code for elegance. Focuses on project-specific best practices.

  skills/engineering/code-simplifier/SKILL.md on GitHub (opens in a new tab)

• complexity-check

  After making changes, audit the diff through four lenses — Additions, Premises, Spread, Duplicates — to catch overbuilt changes and surface simplification opportunities the change itself can't see. Use after implementing a feature, refactor, or bug fix, before committing. Apply only the lenses that have signal to find for your diff; mark the rest N/A.

  skills/engineering/complexity-check/SKILL.md on GitHub (opens in a new tab)

• deslop

  Remove AI-generated code slop and clean up code style

  skills/engineering/deslop/SKILL.md on GitHub (opens in a new tab)

• devs-roundtable

  5 legendary engineers debate your problem in parallel using the most powerful AI model available. Spawns sub-agents as John Carmack, Rich Hickey, Sandi Metz, Linus Torvalds, and Kent Beck — each explores independently, then synthesizes into a ranked consensus. Use when facing architectural decisions, non-obvious implementation choices, or when you want to stress-test an approach from multiple ang…

  skills/engineering/devs-roundtable/SKILL.md on GitHub (opens in a new tab)

• greenlight-pr

  Greenlight a PR — fix CI failures, triage review comments, iterate until green.

  skills/engineering/greenlight-pr/SKILL.md on GitHub (opens in a new tab)

• implementation-rehearsal

  Rehearse a proposed code change against the actual codebase without implementing it. Use when the user asks for an imagined implementation, mental dry run, or several build-and-critique passes to uncover regressions and improve the plan before coding. Produces a revised recommendation; ordinary implementation requests do not require this review.

  skills/engineering/implementation-rehearsal/SKILL.md on GitHub (opens in a new tab)

• pre-factor

  Before implementing a feature or non-trivial change, scan the code it will land in and surface prep refactors that make the change easy — so the feature lands clean instead of accreting tech debt (Kent Beck "make the change easy, then make the easy change"). Use BEFORE writing code, when about to build a feature, add a new case/provider/handler to an existing pattern, restructure in service of up…

  skills/engineering/pre-factor/SKILL.md on GitHub (opens in a new tab)

• repo-history-book

  Build a durable, evidence-backed "book" of how an engineering project evolved by mining git history, PRs, releases, and docs. Use when the user wants repository archaeology, commit-by-commit walkthroughs, engineering learning extraction, pivot analysis, or a readable chronology of what the team changed, learned, reverted, and refined over time.

  skills/engineering/repo-history-book/SKILL.md on GitHub (opens in a new tab)

• setup-agent-workflow

  Set up or improve a repository so AI agents can understand the product, make changes, and verify them with less repeated human correction. Use when bootstrapping agent workflows, onboarding agents to an unfamiliar codebase, improving AGENTS.md and local skills, or turning recurring agent mistakes and throwaway scripts into durable tooling. Inspects and reuses existing conventions, implements the…

  skills/engineering/setup-agent-workflow/SKILL.md on GitHub (opens in a new tab)

• tour

  Take a guided tour of a codebase subsystem — explore the code in parallel, then produce a self-contained HTML tour document that teaches the architecture so the reader doesn't need to read the code themselves. Optionally critiques the architecture for issues.

  skills/engineering/tour/SKILL.md on GitHub (opens in a new tab)

• verify-harness

  Give a repository a verification harness its agents actually use — a `control-<app>` driver CLI that runs the real app in an isolated session and drives it the way a person and an agent do, plus a user-POV feature map that says what exists, how to reach it, how to prove it and what misleads — then keep it true. Use to set one up in a fresh repo, to expand or maintain the map, to verify a change w…

  skills/engineering/verify-harness/SKILL.md on GitHub (opens in a new tab)

• ai-answer-audit

  Audit an AI answer back to the searches, sources, citations, and assumptions behind it — which results actually shaped it, and which claims are unsupported model guesswork. Traces what the answer was based on; does not grade whether it is correct. User-run on an answer (with its question if available); read-only — never alters the answer.

  skills/marketing/ai-answer-audit/SKILL.md on GitHub (opens in a new tab)

• brand-name-explore

  Multi-persona naming exploration with consensus. Spawns parallel sub-agents — each embodying a different naming philosophy (David Placek's Lexicon methodology, the Poet, the Linguist, the Culture Hacker, the Futurist) — to explore divergent naming directions for a product or company, then synthesizes into a ranked shortlist. Based on David Placek's naming framework (Lexicon Branding — Swiffer, Bl…

  skills/marketing/brand-name-explore/SKILL.md on GitHub (opens in a new tab)

• geo-optimize

  Turn an ai-answer-audit into a prioritized plan to get a brand cited in AI answers (ChatGPT, Perplexity, Google AI Overviews). Acts only on the audit's affectable content layer — earned citations, your own pages, open territory — and never promises to move the model layer. User-run on an audit + your brand/URL; a one-shot plan, not citation monitoring.

  skills/marketing/geo-optimize/SKILL.md on GitHub (opens in a new tab)

• product-rehearsal

  Rehearse a proposed feature as if it had already shipped, before anyone builds it. Walks a concrete user or agent through finding it, using it and hitting its edges, then revises the proposal. Use when the user asks to imagine a feature being live, how it would affect users or agents, how it would actually be used, where it will be bad, or which product corner cases a feature idea, tool, command…

  skills/product/product-rehearsal/SKILL.md on GitHub (opens in a new tab)

• interview-me

  Interview the user about a plan, design, or idea until reaching shared understanding. Walks down every branch of the decision tree, resolving dependencies one by one. Maintains a durable transcript on disk so the interview survives context loss. Use when you want to stress-test a plan, think through a design, or need the agent to gather all the context it needs before building.

  skills/productivity/interview-me/SKILL.md on GitHub (opens in a new tab)

• noah-zender-it

  Rank mental models from Noah Zender's curated 468-item idea library by leverage for your current situation, with one concrete way to apply each. Use when you're at a decision point — naming, positioning, writing, picking a project, scoping work — and you want frameworks that actually fit your case, not generic mental-models advice. Default source library: noahzender.com/ideas.

  skills/productivity/noah-zender-it/SKILL.md on GitHub (opens in a new tab)

• plan-for-goal

  Turn whatever's in the current conversation into one prompt to hand to the agent's `/goal` orchestration loop (Claude Code, Codex, or any harness with the same shape). The prompt is re-injected on every turn of the loop, so it must hold direction, taste, and a self-verification path across many iterations. Use when you're ready to hand a piece of work to `/goal`.

  skills/productivity/plan-for-goal/SKILL.md on GitHub (opens in a new tab)

• plan-for-mega-goal

  Turn a multi-objective piece of work into a roadmap on disk plus a small pointer prompt for the agent's `/goal` orchestration loop. Each sub-goal in the roadmap is shaped like a single `plan-for-goal` output; the roadmap holds the multi-goal scaffolding that wouldn't fit in `/goal`'s 4000-character objective limit. Use when the conversation has 3+ distinct objectives that share a destination.

  skills/productivity/plan-for-mega-goal/SKILL.md on GitHub (opens in a new tab)

No skill matches that filter.

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