agentleFS
unsafe9unsafe9/agent-skills/viz/SKILL.md

viz

Skill1 starsChanged 5 months agoNo licenceView on GitHub

Render a long structured answer — or any data worth visualizing — as a self-contained single-file scroll web page, by writing only thin YAML data (an ordered list of typed blocks) that a build script turns into DOM, big numbers, charts, SVG diagrams, trees, diffs, and layout. You never hand-write HTML or compute coordinates. Strongly prefer this whenever your reply would otherwise be a long expository read the user goes through start-to-finish (explaining how something works, an analysis or investigation writeup, comparing options or tradeoffs, a research/report summary, a codebase or architecture exploration, a multi-step plan, a status/metrics snapshot, a post-mortem) OR whenever the answer carries data with shape — metrics/big numbers, comparison tables, rankings, flow/architecture/sequence diagrams, file trees, code diffs, timelines — or a decision with options to put in front of the user and collect their pick. Also trigger on explicit asks — "visualize this", "diagram this", "show this as a page". Skip for short answers, code edits, commands, copy-pasteable text (commit messages, snippets), and headless/no-browser contexts.

8 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

2 rules. 0 are common, 1 is distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 8 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

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

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 8 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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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.