/SKILL.md
Use when building or refactoring React and Tailwind UI that keeps drifting into generic AI-dashboard styling and needs a repeatable visual audit loop.
npx skillsauth add anubhavsingh-0218/uncodixify-skill uncodixifyInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Use this skill when a frontend task needs strict anti-template UI constraints and an explicit audit loop. The goal is not "fancier" UI. The goal is restrained, product-shaped UI that avoids generic AI-dashboard tropes.
This package is intentionally isolated for eval work. Treat it as an eval target, not as part of the shared .agents/skills catalog.
Do not use this skill as a general design system replacement. It is a narrow constraint package.
Before running the audit loop, keep these rules intact:
bg-zinc-950, bg-black, or bg-neutral-900.rounded-sm, rounded-md, or none.border-white/10 or divide-white/10../bin/run-uncodixify.sh <path-to-file>.0.The wrapper script resolves the package paths for you. Do not assume the current working directory is the package directory.
Use python3 ./bin/run-evals.py to scaffold an eval iteration under workspace/iteration-N/.
Each eval case gets:
with_skill/ for the package-guided runwithout_skill/ for the baseline runprompt.txt, inputs/, outputs/, timing.json, and grading.jsonAfter runs are complete, aggregate the benchmark with:
python3 ./bin/run-evals.py --aggregate-only --iteration-dir <absolute-iteration-path>
To grade mechanical assertions in the generated outputs/ directories and refresh benchmark.json in one step, run:
python3 ./bin/grade-evals.py --iteration-dir <absolute-iteration-path>
To run the package end to end against its bundled fixtures, use:
python3 ./bin/run-package-evals.py
manifesto.md: expanded design rules and banned patterns.evals/evals.json: starter eval cases for iteration work.toolchain/: package-local evaluator implementation.workspace/: ignored eval outputs, iteration folders, and review artifacts.development
Maintainer-only workflow for handling GitHub Secret Scanning alerts on OpenClaw. Use when Codex needs to triage, redact, clean up, and resolve secret leakage found in issue comments, issue bodies, PR comments, or other GitHub content.
development
Maintainer workflow for OpenClaw releases, prereleases, changelog release notes, and publish validation. Use when Codex needs to prepare or verify stable or beta release steps, align version naming, assemble release notes, check release auth requirements, or validate publish-time commands and artifacts.
development
Run, watch, debug, and extend OpenClaw QA testing with qa-lab and qa-channel. Use when Codex needs to execute the repo-backed QA suite, inspect live QA artifacts, debug failing scenarios, add new QA scenarios, or explain the OpenClaw QA workflow. Prefer the live OpenAI lane with regular openai/gpt-5.4 in fast mode; do not use gpt-5.4-pro or gpt-5.4-mini unless the user explicitly overrides that policy.
development
End-to-end Parallels smoke, upgrade, and rerun workflow for OpenClaw across macOS, Windows, and Linux guests. Use when Codex needs to run, rerun, debug, or interpret VM-based install, onboarding, gateway smoke tests, latest-release-to-main upgrade checks, fresh snapshot retests, or optional Discord roundtrip verification under Parallels.