agentleFS
reactivereactive/data-client/.agents/skills/playground-demos/SKILL.md

playground-demos

Skill2k starsChanged 3 days agoApache-2.0View on GitHub

Choose and write live playground demos for the dataclient.io docs site and homepage (HooksPlayground examples, the homepage demo, their fixtures). Use when adding, redesigning or reviewing a docs demo, or coming up with a new demo idea for a feature.

We split this skill into the rules it gives an agent

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

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    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. Very specific:

    Use the row layout, with one uncollapsed file, when the code is the lesson.

    line 28
  2. Distinctive:

    Check phone width and both themes.

    line 30

≈ “Common” is an estimate: at least 1 in 5 of the 308,232 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

Playground demos

How playgrounds work is in the Playground README, mainly its Layouts and Design system sections.

Goal

A demo soft-sells Data Client first and teaches users and agents how to use it second. People copy what they see and agents copy the code, so both teach.

  • Use case: one where the preview clearly shows the feature's advantage over the alternative.
  • Mechanism: easy to see how it works and why it's better.
  • Look: very beautiful, built from the playground design system, with no inline styles or CSS in the example code.
  • Scope: as simple as possible while still showing maximum value, utility and related features.
  • New ideas: inventing one needs at least high reasoning effort. At lower or unknown effort, hand the ideation to a high-effort subagent or ask the user.

Conventions

  • The demo makes its point without captions or narration text. If it needs them, pick another use case.
  • Loading states are skeletons (<Loading />, skeleton), not "Loading…" text.
  • A demo of a real public API calls its real URL, intercepted by a fixture in website/src/fixtures/, so copied code works.
  • The code follows the practices a careful app would, even where the demo could skip them, because readers copy it.
  • Use the row layout, with one uncollapsed file, when the code is the lesson. Use demo, which hides the code, only when the point is purely visual, and ask the user first.
  • Anything extra a demo needs goes in the demo code with a design-system component, never a new Playground prop.
  • Check phone width and both themes.

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Trending

More talk lately.about the whole repository

Dec 2025: 0 mentionsJan 2026: 0 mentionsFeb 2026: 0 mentionsMar 2026: 0 mentionsApr 2026: 0 mentionsMay 2026: 0 mentionsJun 2026: 1 mentionJul 2026: 0 mentionsAug 2026: 0 mentionsSep 2026: 1 mentionOct 2026: 47 mentionsNov 2026: 0 mentions
Dec 2025Jun 2026Nov 2026
Mentions a month of the reactive/data-client repository that our weekly crawl found. There is no adoption data for this file yet.

Who's talking about reactive/data-client

The biggest 5 of 50 mentions linking to the repository that our crawl found. Each line is their own headline.

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Talked about on GitHub (50 times).

On GitHub · 50

45 more on GitHub

Does it work?

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

No reviews yet

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

  • 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.