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Ga

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jnsahaj
ga

Kick off a new feature or fix in a parallel clone with Pi working autonomously. Takes a problem description, generates a concise branch name, runs ga to set up the worktree, and sends a crafted prompt to the new Pi session.

Overview

Publisherjnsahaj
Repositoryskills
Skill namega
Stars
106
Forks
1
Bundled files
Instructions only
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 jnsahaj on GitHub. Read the source before you install it.

Installation

Install the Ga 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/jnsahaj/skills/tree/main/skills/ga
  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/jnsahaj/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/ga .claude/skills/ga
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ga 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 Ga 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 Ga 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.

ga - Start a New Task

Kick off a new parallel development task. Creates a clone, branch, tmux session, and starts Pi with a crafted prompt.

Steps

  1. Get the task description from the user's message. If unclear, ask what they want to build or fix.

  2. Generate a concise branch name from the description:

    • Use lowercase kebab-case
    • Max 3-4 words, abbreviate aggressively
    • Prefix with fix- for bug fixes
    • Examples:
      • "the login button doesn't work on mobile" → fix-mobile-login-btn
      • "add a dark mode toggle to settings" → dark-mode-toggle
      • "search results are slow when filtering by date" → fix-search-date-perf
      • "implement rate limiting on the API" → api-rate-limit
      • "the sidebar collapses when resizing" → fix-sidebar-resize
      • "add webhook support for deployments" → deploy-webhooks
  3. Build the prompt that Pi will receive in the new session. The prompt MUST follow this structure:

    <Clear description of the problem or feature>
    
    <Any relevant context: file paths, error messages, specific behavior>
    
    When you're done, run /create-draft-pr to commit, push, and open a draft PR.

    Keep the prompt direct and actionable. Don't over-explain. Include specific file paths or error details if the user mentioned them.

  4. Pick the harness. Default is pi, so omit the flag for normal use. If the user's message explicitly asks for Claude Code (e.g. "use claude", "with claude", "claude harness"), pass --harness c.

  5. Run ga with the branch name, prompt, and base branch. The ga function accepts a second argument for the prompt and a third for the base branch, which skips the fzf picker:

    bash
    ga <branch-name> "<prompt>" main
    # or explicitly with Claude Code:
    ga --harness c <branch-name> "<prompt>" main

    If ga is not found, source ~/.zshrc first and then run it again, since in some environments ga is defined as a shell function rather than an executable.

  6. Report back to the user with the branch name and tmux session name so they can attach:

    Started: <session-name>
    Branch: <branch-prefix>/<branch-name>
    Attach: tmux a -t <session-name>

Rules

  • Branch names must be short. 3-4 words max. Abbreviate (btn, auth, cfg, nav, perf, err, msg, req, res, fmt, val, tmpl, env, deps).
  • Always include the /create-draft-pr instruction in the prompt.
  • The prompt should be a single clear message, not a multi-step plan. Let Pi figure out the implementation.
  • If the user provides file paths or error messages, include them verbatim in the prompt.
  • Don't over-specify. Trust Pi to explore the codebase and find the right approach.

Frequently asked questions

What does the Ga AI skill do?

Kick off a new feature or fix in a parallel clone with Pi working autonomously. Takes a problem description, generates a concise branch name, runs ga to set up the worktree, and sends a crafted prompt to the new Pi session.

Why use Ga on TypingMind?

Because you install it once and use it with any model. Ga 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 Ga in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jnsahaj/skills/tree/main/skills/ga. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ga?

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 Ga?

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

Is the Ga AI skill free?

It is published on GitHub by jnsahaj. Check the repository for licensing terms. 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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