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Infinite-Labs-AIInfinite-Labs-AI/know-your-unknowns-skills/unknowns-mock-before-wire/SKILL.md

unknowns-mock-before-wire

Skill2 starsChanged 4 months agoMITView on GitHub

Build a throwaway mock or prototype before wiring production code. Use when UI layout, interaction, scope, placement, or flow is ambiguous and the user wants to react to fake data, a clickable HTML artifact, or a prototype before implementation.

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 3 are distinctive, and 0 are 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.

  • 0

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Stop condition: the user has answered the layout/scope questions or approved the direction.

    line 19
  2. Distinctive:

    Keep prototypes disposable.

    line 23
  3. Distinctive:

    Use one self-contained HTML file when clickable review is valuable.

    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

Unknowns Mock Before Wire

Workflow

Probe the interaction without touching production code.

Return:

  • The decision the mock is meant to test.
  • A fake-data artifact or precise prototype description.
  • The intentionally fake parts and non-goals.
  • Open questions the mock should answer.
  • A reply template that captures placement, scope, and interaction decisions.
  • Stop condition: the user has answered the layout/scope questions or approved the direction.

Rules

Keep prototypes disposable. Avoid adding dependencies or integrating with real app state unless the user explicitly asks. The artifact should reduce uncertainty before implementation, not become implementation.

Use one self-contained HTML file when clickable review is valuable.

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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  • It worked
  • Partly
  • 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.