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Wp Playground Development

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jorgerosal
wp-playground-development

WordPress Playground review and development guidance. Use when reviewing Blueprints, Playground JSON setup flows, `@wp-playground/cli` usage, embedded Playground demos, reproducible bug repros, docs examples, or when user mentions "WordPress Playground", "Blueprint", "playground.json", "run-blueprint", "build-snapshot", "embed Playground", or "zero-setup repro". Helps review Blueprint design, local Playground workflows, demo reliability, and reproducible WordPress environments.

Overview

Publisherjorgerosal
Repositorywordpress-skills
Skill namewp-playground-development
Stars
113
Forks
13
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by jorgerosal on GitHub. Read the source before you install it.

Installation

Install the Wp Playground Development AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/jorgerosal/wordpress-skills/tree/main/claude-skills/wp-playground-development
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/jorgerosal/wordpress-skills.git /tmp/wordpress-skills
mkdir -p .claude/skills
cp -r /tmp/wordpress-skills/claude-skills/wp-playground-development .claude/skills/wp-playground-development
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Wp Playground Development in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Wp Playground Development on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Wp Playground Development is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

WordPress Playground Development Skill

Overview

Systematic review guidance for WordPress Playground-based demos and reproducible environments. Core principle: Playground setups should be deterministic, portable, and easy to understand from the Blueprint or CLI entrypoint alone. Review covers Blueprint structure, local CLI usage, embedded demos, repro environments, and demo-specific WordPress configuration.

When to Use

Use when:

  • Reviewing a Blueprint JSON file
  • Auditing docs that embed or link to Playground
  • Building a zero-setup bug repro or demo
  • Reviewing Playground CLI usage in local workflows or tests
  • Designing a repeatable environment for blocks, plugins, or themes

Don't use for:

  • General block or plugin review without Playground
  • WP-CLI operations outside a Playground context
  • Static analysis or CI setup alone

Code Review Workflow

  1. Identify the Playground entrypoint

    • Blueprint JSON
    • Playground CLI command
    • Embedded iframe or blueprint URL
    • Local docs or scripts used to reproduce an issue
  2. Check reproducibility first

    • Explicit WordPress and PHP versions where needed
    • Steps are ordered and self-contained
    • No hidden manual steps outside the Blueprint/docs
  3. Review setup steps

    • Theme/plugin install and activation
    • Login, site options, content seeding
    • File writes, copies, or mounts
    • Any wp-cli steps used inside the Blueprint
  4. Review developer ergonomics

    • Can someone rerun this without guesswork?
    • Is the landing page meaningful?
    • Are local and browser-based flows clearly separated?
  5. Classify findings

    • CRITICAL: non-reproducible setup, hidden dependencies, broken step order, external assumptions not documented
    • WARNING: versions implicit, overly brittle mounts, confusing landing page, heavyweight repro for a tiny issue
    • INFO: could simplify steps, split demo from test data, or use a clearer Blueprint pattern

File-Type Specific Checks

Blueprint Files

  • CRITICAL: Missing required setup step that makes the Blueprint non-functional
  • WARNING: No explicit preferredVersions when version compatibility matters
  • WARNING: Repro depends on files adjacent to the Blueprint without documentation
  • INFO: Could set a clearer landingPage

Playground CLI Workflows

  • WARNING: Local workflow uses server or start with undocumented mounts
  • WARNING: Blueprint path or auto-mount assumptions are implicit
  • INFO: Could use run-blueprint or build-snapshot for more deterministic flows

Embedded Demos and Repros

  • CRITICAL: Demo depends on manual admin setup not captured in the Blueprint
  • WARNING: Embedded example is too large or generic for the issue being demonstrated
  • INFO: Could split teaching/demo content from bug repro content

Search Patterns for Quick Detection (PG-21)

Use these rg commands to find Playground-related files and setup logic.

Playground Discovery

bash
rg -n "playground|blueprint|@wp-playground" . -g '*.{md,json,js,ts,tsx,yml,yaml}'
rg -n "\"steps\"|\"landingPage\"|\"preferredVersions\"" . -g '*.json'

CLI and Embed Flows

bash
rg -n "run-blueprint|build-snapshot|@wp-playground/cli|npx @wp-playground/cli" . -g '*.{md,js,ts,sh,yml,yaml}'
rg -n "blueprint-url|playground.wordpress.net|wordpress.org/playground" . -g '*.{md,html,js,ts}'

Repro Steps

bash
rg -n "\"step\": \"(login|wp-cli|installPlugin|installTheme|writeFile|mkdir|cp|mv|enableMultisite)\"" . -g '*.json'

Reference Files

  • references/blueprint-patterns.md - Blueprint structure, step selection, and deterministic setup
  • references/cli-and-local-workflows.md - @wp-playground/cli, mounts, local workflows, and snapshot usage
  • references/embedding-and-repros.md - Embedded demos, blueprint URLs, and issue reproduction patterns
  • references/sample-playground-blueprint.json - Minimal reproducible Blueprint fixture for local testing or adaptation

Output Format (PG-23)

For each finding include:

  1. Severity: CRITICAL, WARNING, or INFO
  2. File and line number
  3. Repro or demo issue summary
  4. Why it matters for Playground reliability or clarity
  5. Recommended fix

If no issues are found, say so clearly and mention any residual ambiguity such as version drift, missing repro notes, or fragile local mounts.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Wp Playground Development AI skill do?

WordPress Playground review and development guidance. Use when reviewing Blueprints, Playground JSON setup flows, `@wp-playground/cli` usage, embedded Playground demos, reproducible bug repros, docs examples, or when user mentions "WordPress Playground", "Blueprint", "playground.json", "run-blueprint", "build-snapshot", "embed Playground", or "zero-setup repro". Helps review Blueprint design, local Playground workflows, demo reliability, and reproducible WordPress environments.

Why use Wp Playground Development on TypingMind?

Because you install it once and use it with any model. Wp Playground Development is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Wp Playground Development in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jorgerosal/wordpress-skills/tree/main/claude-skills/wp-playground-development. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Wp Playground Development?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Wp Playground Development?

As many as you like. As long as a model supports skills, you can use Wp Playground Development with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Wp Playground Development AI skill free?

Yes. It is published on GitHub by jorgerosal under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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