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ai-for-dummies/skills/rules-case-study/SKILL.md
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---
name: rules-case-study
description: Use when explaining how a repository turns agent guidance into enforceable behavior across context files, skills, CLI checks, Git hooks, CI, worktrees, or PR review; build a concise, source-linked case-study page.
---
# Rules case study
Show the control loop: context → skills → CLI → commit → review. The reader should see where a rule lives, what executes it, and how to verify it.
## Workflow
1. Inspect authoritative files before writing copy. Start with the repository context file, skill directory, command or database ledger, enforcement scripts, hooks, staged-file config, CI, and review policy. Use [the interview source map](references/interview-source-map.md) as a routing hint, then confirm paths in the target repository.
2. Separate guidance from enforcement. A context file or skill teaches an agent; a CLI check, hook, CI job, or reviewer blocks or reports behavior. Never describe prose as mechanically enforced.
3. For every example, show the rule, exact source path, enforcement point, verification command, and remaining gap. Prefer one concrete ratchet or hook example over a list of vague best practices.
4. Add a skills shelf. Each skill needs a trigger, the lesson it carries, a tiny example, and a source link. Keep examples short enough to copy into an agent prompt.
5. Include a read-only exploration prompt that asks an agent to map rules to evidence and gaps. Add copy feedback and bilingual labels if the host guide supports both languages.
6. Use a dependency-free standalone page when the case study is mostly explanatory. Link back to the main guide and exact source files. Do not modify the source repository merely to document it.
7. Verify dynamic stage and skill states, source links, copy behavior, language switching, no horizontal overflow, and the 390px/1920px/3840px viewports. The page is done when every claim has a source or is clearly labeled as a design recommendation.