agentleFS
kyto64kyto64/aidd-template-scale/.agents/skills/spec-to-screen/SKILL.md

spec-to-screen

Skill0 starsChanged 2 months agoMITView on GitHub

Generate or update UI implementation from a screen spec in docs/product/screens/.

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    If any required field is empty → STOP.

    line 16
  2. Very specific:

    Read the screen spec markdown.

    line 21
  3. Distinctive:

    Read related architecture/product docs linked from the spec.

    line 22
  4. Distinctive:

    Update spec if implementation reveals necessary spec corrections (same PR).

    line 25

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Spec to screen

Target screen: $ARGUMENTS

Gate: stack-paths.md

  1. Read docs/development/stack-paths.md
  2. If any required field is empty → STOP. Tell user to fill stack-paths and retry.

Steps

  1. Normalize screen name to kebab-case file under screen_spec_dir.
  2. Read the screen spec markdown; if missing, suggest creating from _template.md.
  3. Read related architecture/product docs linked from the spec.
  4. Plan component/file changes under implementation_root.
  5. Implement UI matching the spec; match existing project patterns when code exists.
  6. Update spec if implementation reveals necessary spec corrections (same PR).

Output

  • List of created/updated files
  • Manual verification steps for the user

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
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  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.