Implement Github Feature logo

Implement Github Feature

Organization
AgnosticUI
implement-github-feature

Design and implement a new feature or component from a GitHub issue. Use for net-new functionality, not bug fixes.

Overview

PublisherAgnosticUI
Repositoryagnosticui
Skill nameimplement-github-feature
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 Github Feature 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-github-feature
  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-github-feature .claude/skills/implement-github-feature
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Implement Github Feature 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 Github Feature 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 Github Feature 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-github-feature ISSUE_NUMBER

Example: /implement-github-feature 281

Implement GitHub feature request $ARGUMENTS following AgnosticUI conventions, accessibility standards, and CSS-first principles.


Setup

  1. Read project context
    • Read .claude/PROJECT_CONTEXT.md
    • Understand:
      • Repository structure
      • Design principles
      • Accessibility requirements
      • Branch conventions
      • Component workflows

Phase 0: Safety Checks (Required)

  1. Verify clean starting state
    • Run git status
    • Confirm:
      • Working directory is clean
      • Current branch is master
    • If either condition fails:
      • STOP
      • Ask the user to resolve before continuing

Phase 1: Branching

  1. Propose feature branch
    • Follow convention: issue-$ARGUMENTS/short-descriptive-name
    • Example: issue-281/selection-card-group
    • Run:
      git checkout -b issue-$ARGUMENTS/short-description
    • WAIT FOR USER APPROVAL of branch name before proceeding

Phase 2: Issue Analysis & Intent Extraction (No Code)

  1. Analyze the GitHub issue

    • Fetch full details:
      gh issue view $ARGUMENTS
    • Extract and summarize:
      • Feature goals
      • Non-goals / constraints
      • API expectations
      • Accessibility requirements
      • Styling and theming expectations
      • Framework implications (Lit / React / Vue)
  2. Study existing related components

    • Identify components this feature will compose or resemble
    • Read their implementations in v2/lib/src/components/
    • Note patterns for:
      • Props and attributes
      • Slot usage
      • CSS custom properties
      • ::part exposure
      • Event dispatching
      • Accessibility implementation
    • This ensures consistency with established AgnosticUI conventions
  3. Confirm feature classification

    • This is a:
      • Net-new component OR
      • Major enhancement (not a bug fix)
    • If scope appears ambiguous:
      • Ask the user before proceeding

Phase 3: Design Proposal (Hard Stop Before Code)

  1. Propose high-level design

    • Identify:
      • New components to be created
      • Public vs internal APIs
      • Required props vs optional props
      • Slot usage and responsibilities
      • Accessibility model (labels, roles, keyboard behavior)
      • Shadow DOM strategy (::part, ::slotted)
    • Explicitly call out:
      • Web Component constraints
      • CSS-first decisions
      • What is intentionally not supported
  2. Propose file & directory layout

    • Core components:
      • v2/lib/src/components/...
    • Documentation:
      • v2/site/docs/components/...
    • Storybook playgrounds:
      • Lit
      • React
      • Vue
    • Examples:
      • Lit / React / Vue test examples
  3. WAIT FOR USER APPROVAL

  • Do not create files
  • Do not write code
  • Proceed only after explicit approval of:
    • API shape
    • Accessibility approach
    • Styling strategy

Phase 4: Scaffolding (Minimal, Intentional)

  1. Create initial scaffolding

    • Create component directories
    • Add placeholder files where appropriate
    • Add minimal README or doc stubs if needed
    • No implementation logic yet
  2. Show scaffolding diff

    • Use git diff
    • Explain what was created and why
    • WAIT FOR USER APPROVAL

Phase 5: Core Implementation (Lit Web Components First)

  1. Implement core component(s)

    • Work only in:
      • v2/lib/src/components/
    • Follow:
      • CSS-first approach
      • Design token usage
      • Accessibility requirements
    • Ensure:
      • Keyboard interaction works
      • Labels and semantics are correct
      • Shadow DOM parts are intentional and minimal
  2. Verify build

    • Run npm run build in v2/lib/
    • Fix any compilation errors
    • Run npm run lint if available
  3. Pause for review

    • Explain:
      • DOM structure
      • Slot behavior
      • ::part surface
      • Accessibility decisions
    • WAIT FOR USER APPROVAL before proceeding

Phase 6: Framework Integrations

  1. Integrate with frameworks

    • React playground
    • Vue playground
    • Lit playground
    • APIs should feel idiomatic but map 1:1 conceptually
  2. Add Storybook stories

    • Demonstrate:
      • Core use cases
      • Variants
      • Accessibility states
    • Ensure consistency across frameworks

Phase 7: Documentation & Examples

  1. Write documentation

    • Add VitePress docs:
      • API
      • Slots vs props
      • Styling guidance
      • Accessibility notes
    • Update or add playbooks if applicable
  2. Update examples

    • Verify examples compile and behave correctly
    • Keep examples minimal and educational

Phase 8: Final Review & Commit

  1. Final verification

    • Review:
      • git diff
      • Accessibility behavior
      • Styling hooks
      • API consistency
    • Ensure no accidental breaking changes
  2. Prepare commit

    • Stage changes:
      git add .
    • Commit message format:
      Add #$ARGUMENTS: [concise feature description]
    • Show commit contents
    • WAIT FOR USER APPROVAL before committing

Phase 9: Handoff

  1. Explain next steps
    • User is on branch: issue-$ARGUMENTS/...
    • Review with:
      git diff master
    • Push when ready:
      git push -u origin issue-$ARGUMENTS/...
    • Create PR:
      gh pr create --base master --head issue-$ARGUMENTS/...

Important Rules

  • NEVER work directly on master
  • NEVER push without explicit user permission
  • ALWAYS stop at design gates
  • ALWAYS prioritize accessibility over convenience
  • Prefer slots for layout, props for semantics
  • CSS custom properties > ::part > ::slotted
  • Do not assume intent — if unclear, ask

Frequently asked questions

What does the Implement Github Feature AI skill do?

Design and implement a new feature or component from a GitHub issue. Use for net-new functionality, not bug fixes.

Why use Implement Github Feature on TypingMind?

Because you install it once and use it with any model. Implement Github Feature 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 Github Feature in TypingMind?

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

Which AI models can use Implement Github Feature?

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 Github Feature?

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

Is the Implement Github Feature 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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