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tw93/Waza

Agent skills in the GitHub repository tw93/Waza, each with its code score out of 100.

🥷 Engineering habits you already know, turned into skills AI assistants like Claude Code, Codex and Cursor can run.

Repository score
77 / 100 B
Skills
8
Verified
2
Average skill score
74
GitHub stars
7,573
License
MIT

Open tw93/Waza on GitHub

8 skills in this repository

  1. write

    Rewrites and polishes Chinese or English prose, technical instructions, and product copy. Use when drafting, editing, localizing, or cutting AI tone. Not for code comments or comm…

    Verified81B
  2. health

    Audits or prunes agent config, instruction drift, hooks or MCP, and AI maintainability. Use when Claude, Codex, or Pi setup looks wrong or guidance needs slimming. Not for applica…

    Verified80B
  3. hunt

    Finds root cause before any fix. Use when something errors, crashes, regresses, or used to work. Not for code review or new features.

    77B
  4. ui

    Produces distinctive production UI and screenshot-grounded visual polish. Use when building or restyling pages, components, or typography. Not for backend logic or data pipelines.

    76B
  5. check

    Reviews diffs, PRs, release readiness, and publishing follow-through. Use when asked to review, triage issues or PRs, or ship. Not for debugging root causes or prose.

    74B
  6. learn

    Runs a six-phase research workflow from source bundle to publish-ready output. Use when researching an unfamiliar domain or compiling materials into one reference. Not for quick l…

    72B
  7. read

    Fetches URLs and PDFs, then summarizes or returns clean Markdown; can also search the web through DeepSeek when built-in search is thin. Use when asked to read, fetch, quote, cite…

    66C
  8. think

    Turns rough ideas into approved, decision-complete plans before coding. Use when planning architecture, judging whether to build, or writing a handoff. Not for bug fixes or small…

    64C

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.