Implement Ag Playbook logo

Implement Ag Playbook

Organization
AgnosticUI
implement-ag-playbook

Implement a playbook from its PROMPT specification files. Supports both single-framework (PROMPT-REACT.md, etc.) and 3-framework (PROMPT-3-FRAMEWORKS.md) modes.

Overview

PublisherAgnosticUI
Repositoryagnosticui
Skill nameimplement-ag-playbook
Stars
832
Forks
47
Bundled files
Instructions only
LicenseApache-2.0
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Implement Ag Playbook 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/AgnosticUI/agnosticui/tree/master/.claude/skills/implement-ag-playbook
  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/AgnosticUI/agnosticui.git /tmp/agnosticui
mkdir -p .claude/skills
cp -r /tmp/agnosticui/.claude/skills/implement-ag-playbook .claude/skills/implement-ag-playbook
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Implement Ag Playbook 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 Implement Ag Playbook 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 Implement Ag Playbook 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.

Usage: /implement-ag-playbook PLAYBOOK_NAME [MODE]

Examples:

  • /implement-ag-playbook onboarding - Implement all available prompts
  • /implement-ag-playbook login 3-frameworks - Implement only PROMPT-3-FRAMEWORKS.md
  • /implement-ag-playbook login react - Implement only PROMPT-REACT.md

Implement the specified playbook based on its existing PROMPT specification files.


Playbook Structure Reference

Complete playbooks have this structure (see v2/playbooks/README.md):

v2/playbooks/[name]/
├── PROMPT-3-FRAMEWORKS.md    # Builds → react-example/, vue-example/, lit-example/
├── PROMPT-REACT.md           # Builds → react/
├── PROMPT-VUE.md             # Builds → vue/
├── PROMPT-LIT.md             # Builds → lit/
└── design/                   # Shared assets (mockups, icons, images)

Single-Framework vs 3-Frameworks differences:

  • Different fonts (e.g., Playfair Display vs Merriweather)
  • Different social icons (e.g., Apple vs Facebook)
  • Different asset filenames (e.g., logo.svg vs logo-3-frameworks.svg)

Phase 0: Validation

  1. Verify playbook exists

    • Check v2/playbooks/$ARGUMENTS/ exists
    • List available PROMPT files:
      • PROMPT-3-FRAMEWORKS.md
      • PROMPT-REACT.md
      • PROMPT-VUE.md
      • PROMPT-LIT.md
    • If MODE specified, verify that PROMPT file exists
    • If no MODE specified, ask user which to implement
  2. Read the prompt specification

    • Read the target PROMPT file(s)
    • Extract:
      • Required components (for agnosticui-cli add)
      • Design specifications
      • Font requirements
      • Asset copying instructions
      • Framework-specific configurations

Phase 1: Project Scaffolding

  1. Create Vite project(s)

    • Navigate to v2/playbooks/$ARGUMENTS/
    • Create appropriate project(s):

    For 3-frameworks mode:

    bash
    npm create vite@latest react-example -- --template react-ts
    npm create vite@latest vue-example -- --template vue-ts
    npm create vite@latest lit-example -- --template lit-ts

    For single-framework mode:

    bash
    npm create vite@latest react -- --template react-ts   # PROMPT-REACT.md
    npm create vite@latest vue -- --template vue-ts       # PROMPT-VUE.md
    npm create vite@latest lit -- --template lit-ts       # PROMPT-LIT.md
  2. Install dependencies

    • React: npm install && npm install lucide-react lit
    • Vue: npm install && npm install lucide-vue-next lit
    • Lit: npm install && npm install lit
  3. Initialize AgnosticUI CLI

    • For each project:
    bash
    npx agnosticui-cli init --framework [react|vue|lit] --skip-prompts
    npx agnosticui-cli add [COMPONENTS from prompt]

Phase 2: Configuration

  1. Copy design assets (if applicable)

    • Check design/ folder for assets beyond mockups
    • Not all playbooks have assets to copy - some only have mockups (e.g., onboarding)
    • If assets exist (icons, logos, background images), copy to each project's public/ folder
    • Follow asset instructions in the PROMPT file
  2. Vue vite.config.ts

    • Add custom element recognition for ag-* tags:
    typescript
    vue({
      template: {
        compilerOptions: {
          isCustomElement: (tag) => tag.startsWith('ag-'),
        },
      },
    })
  3. Token imports

    • Import in each project's entry point:
    typescript
    import './components/ag/styles/ag-tokens.css'
    import './components/ag/styles/ag-tokens-dark.css'
  4. Font setup

    • Add Google Fonts link to each index.html per PROMPT specification
  5. TypeScript configuration (Vue)

    • If CLI-generated code causes errors, relax tsconfig.app.json:
    json
    "strict": false,
    "noUnusedLocals": false,
    "noUnusedParameters": false

Phase 3: Implementation

  1. Implement each framework

    • Follow the PROMPT specification exactly
    • React: src/App.tsx using React wrappers + lucide-react
    • Vue: src/App.vue using Vue wrappers + lucide-vue-next
    • Lit: Custom element using core components + inline SVG icons
  2. Verify builds

    • Run npm run build in each project
    • Fix any TypeScript or build errors
    • Test with npm run dev

Phase 4: Verification

  1. Visual verification

    • Run each example
    • Compare against design mockups in design/
    • Check responsive breakpoints
    • Verify component interactions
  2. Cross-framework consistency

    • All implementations should behave identically
    • State management works correctly
    • Styling matches across frameworks

Phase 5: Commit

  1. Stage and commit
    • Show git diff --stat
    • Commit with descriptive message
    • WAIT FOR USER APPROVAL

Key Patterns

Icon Imports

  • React: import { Icon } from "lucide-react"
  • Vue: import { Icon } from "lucide-vue-next"
  • Lit: Inline SVG templates (lucide doesn't work directly)

Component Imports

  • React: ./components/ag/[Component]/react/
  • Vue: ./components/ag/[Component]/vue/
  • Lit: ./components/ag/[Component]/core/

Event Handling

  • Selection components emit selection-change events
  • Event detail: { value, checked, selectedValues }

Common Issues & Fixes

IssueFix
Vue ag-* warningsAdd isCustomElement to vite.config.ts
TypeScript strict errorsRelax tsconfig.app.json settings
Missing dark modeImport both ag-tokens.css AND ag-tokens-dark.css
Button isDisabled propUse disabled not isDisabled
Timeline connector misalignmentEnsure core component has ::slotted(*) { box-sizing: border-box }

Incomplete Playbook Warning

If a playbook is missing PROMPT files, notify the user:

Warning: The $ARGUMENTS playbook is incomplete.

Present: [list files] Missing: [list files]

Complete playbooks should have:

  • PROMPT-3-FRAMEWORKS.md → react-example/, vue-example/, lit-example/
  • PROMPT-REACT.md → react/
  • PROMPT-VUE.md → vue/
  • PROMPT-LIT.md → lit/

Would you like to:

  1. Implement only the available prompts
  2. Generate the missing PROMPT files first

Frequently asked questions

What does the Implement Ag Playbook AI skill do?

Implement a playbook from its PROMPT specification files. Supports both single-framework (PROMPT-REACT.md, etc.) and 3-framework (PROMPT-3-FRAMEWORKS.md) modes.

Why use Implement Ag Playbook on TypingMind?

Because you install it once and use it with any model. Implement Ag Playbook 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 Implement Ag Playbook in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AgnosticUI/agnosticui/tree/master/.claude/skills/implement-ag-playbook. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Implement Ag Playbook?

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 Implement Ag Playbook?

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

Is the Implement Ag Playbook AI skill free?

Yes. It is published on GitHub by AgnosticUI under the Apache-2.0 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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