A curated set of skills I use with my agents. Feel free to grab what's useful.
Each skill is a small package of instructions and code that gives an agent a new ability — like fixing failing CI pipelines, exploring problems from multiple angles, or cleaning up messy code. This repo is updated as I build and refine new skills.
git clone https://github.com/zvadaadam/az-skills.git
cd az-skills
./scripts/install.shThis connects the skills to your agent. You only need to do this once.
Pull the latest and you're done — new and improved skills load automatically:
cd az-skills
git pull./scripts/uninstall.sh- call-advisor — Calls the premium Fable advisor through Claude Code CLI for hard judgment, architecture, and frontend/design critique, with resumable sessions and saved output artifacts
- call-worker — Calls the fast Codex GPT-5.5 worker through Codex CLI for clean code implementation, repo exploration, tests, and bounded engineering tasks
- code-review — Multi-lens code review with 3 parallel sub-agents (correctness, security, design) that validates and reports only high-signal findings
- devs-roundtable — 5 legendary engineers (Carmack, Hickey, Metz, Torvalds, Beck) debate your problem in parallel, then build consensus
- code-simplifier — Reviews code for clarity and maintainability, then cleans it up
- deslop — Detects and removes AI-generated code slop (unnecessary abstractions, over-engineering, verbose patterns)
- pre-factor — Auto-fires before a feature or non-trivial change: maps the code the change will land in and surfaces the prep refactors that make the change easy (reshape the seam, add a safety net, kill duplication) — each one traced to the upcoming change, landed as its own commit first. The before-bookend to
complexity-check - skill-feedback — Shared telemetry helper used by each skill; submits concise feedback plus skill read/activation events directly to PostHog, with automatic hooks in Claude Code and anonymous installation IDs for active-install counts
- design-roundtable — 5 legendary designers (Rams, Ive, Vignelli, Fukasawa, Jongerius) debate your brief in parallel, then build consensus
- brand-name-explore — Generates product/company names using multiple creative personas (Lexicon methodology, poet, linguist, culture hacker, futurist)
- ai-answer-audit — Reverse-engineers an AI "best X" answer back to the searches, sources, and assumptions behind it: an evidence ledger, a model-layer vs content-layer split, the multi-hop search path, and which claims are unsupported model guesswork. User-run and read-only — it never alters the answer
- geo-optimize — Turns an
ai-answer-auditinto a prioritized plan to get a brand cited in AI answers (ChatGPT, Perplexity, Google AI Overviews): authority gap, four levers (get-cited / fix-open-territory / open-a-lane / upgrade-evidence), per-engine moves, and a Fast Wins / Roadmap / Backlog roadmap
- greenlight-pr — Takes a PR, fixes CI failures, addresses review comments, and iterates until everything passes
- interview-me — Interviews you about a plan or design until it has all the context to build the right thing
- plan-for-goal — Turns conversation context into a single prompt for a coding agent's
/goalorchestration loop — directional outcome, quality bar, and a self-verification path the loop can iterate against