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Improve Front-End Rule

Review and raise the quality score of Front-End Checklist rule MDX files

Stars
74,632
Licence
MIT
Files
2 files

What it does

This skill teaches an AI agent how to review a rule file in the Front-End Checklist project and improve it so it scores better against the project's quality rubric. It guides the agent to replace generic AI prompts with specific audit and fix instructions, add missing sections such as tldr bullets, aiContext, related rules, resources and annotated good/bad code examples, and keep the document structure in the required order. The agent is also pointed to the project's scoring and structure-validation commands to check its work.

Great for

  • Maintainers or contributors of the Front-End Checklist repository who edit rule MDX files
  • Reviewers checking pull requests that add or change rules
  • Teams building their own rule libraries who want to follow the same quality standard

Skip it if

  • Anyone outside the Front-End Checklist project, since it assumes its specific file layout, pnpm commands and MDX conventions (not useful and may produce wrong edits)
  • Users wanting general web development advice, because it only covers improving existing rule files; browser support claims should be verified against the project's own data rather than the agent's memory

Try asking

  • “Improve the rule file packages/content/rules/en/forms/label-inputs.mdx so it scores at least 50”
  • “Review this pull request that adds a new rule MDX file and check for stub prompts and missing code examples”
  • “Add relatedRules and resources to the accessibility rule about focus states”
  • “Rewrite the stub prompts in this rule so the check and fix instructions name exact attributes”
Step-by-step guide: how to use Improve Front-End RuleInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 2 original files, the MIT licence and an attribution note.

    improve-rule.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip improve-rule.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip improve-rule.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Run the scorer before and after editing so you can see which dimensions improved
  • Use the skill on one rule at a time and review the diff, since the agent may write generic-sounding content that still needs human accuracy checks
  • Ask the agent to verify browser-support notes against the repo's package data rather than trusting its own memory

What's inside

  • references/scoring-rubric.md
  • SKILL.md

Redistributed unmodified from thedaviddias/Front-End-Checklist under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.