# tw93/Waza

🥷 Engineering habits you already know, turned into skills Claude can run.

Repository: https://github.com/tw93/Waza
Canonical: https://ross.abutalabs.com/products/waza
Language: Python
License: MIT
License Family: permissive
Topics: claude, claude-code, des, design, engineer, lear, skil, skills, superpowers
Last push: 2026-08-25T06:31:07+00:00

## Health v2 (maintenance only)
Score: 82/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 99, longevity 12
- inputs: {"age_days": 175, "days_push": 8, "days_rel": 10, "gap_med": 2, "n_releases_24m": 40}
- flags: young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6916, forks 405 (observed 2026-08-28T04:09:51.343879+00:00)

## What it is
Waza is a collection of installable skills that turn common engineering habits into slash-command playbooks for AI coding agents like Claude Code and Codex. Each skill (e.g., /think, /ui, /check, /hunt) encodes a structured workflow for planning, UI building, code review, debugging, writing, and research.

## Use cases
- install engineering skills for claude code
- get a structured debugging workflow for ai agents
- make claude code review my diffs before merging
- improve ai-generated ui design quality
- learn unfamiliar domains with a research workflow
- rewrite prose to sound natural with ai
- read urls and pdfs inside claude code

## When to choose
- you use Claude Code or Codex daily and want repeatable engineering workflows
- you want opinionated playbooks for planning, debugging, and code review
- you want to standardize how your AI agent handles common tasks

## When to avoid
- you don't use AI coding agents like Claude Code or Codex
- you need a standalone application rather than agent skills
- you prefer fully custom prompts over curated skill playbooks

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, agent-framework, prompt-engineering, documentation
- domain: developer-tools, artificial-intelligence, tutorials
- platform: cli, cross-platform
- tags: claude-code, claude-skills, codex, engineering-habits, slash-commands, ai-workflows, ai-agents

## Member repositories
- tw93/Waza (main) score 82

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:51.343879+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:41:27.214246+00:00, confidence not recorded.
  - readme: https://github.com/tw93/Waza (fetched 2026-08-28T04:09:51.343879+00:00, sha 5663dc914387)
- Data as of 2026-08-30T08:39:29.467469+00:00.