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The single entry point to the Conductor system - state your goal and everything is handled automatically

Overview

PublisherIbrahim-3d
Repositoryorchestrator-supaconductor
Skill namego
Stars
378
Forks
38
Bundled files
Instructions only
LicenseAGPL-3.0
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 Ibrahim-3d on GitHub. Read the source before you install it.

Installation

Install the Go 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.
  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/Ibrahim-3d/orchestrator-supaconductor.git /tmp/orchestrator-supaconductor
mkdir -p .claude/skills
cp -r /tmp/orchestrator-supaconductor/skills/go .claude/skills/go
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Go 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 Go 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 Go 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.

/go -- Goal-Driven Entry Point

The single entry point to the entire Conductor system.

Just state your goal. The system handles everything else.

Usage

/go <your goal>

Examples

/go Add Stripe payment integration
/go Fix the login bug where users get logged out
/go Build a dashboard with analytics
/go Refactor the asset generation to use caching

What Happens

When you invoke /go, follow this process:

1. Goal Analysis

Parse the user's goal from $ARGUMENTS:

  • Identify the type (feature, bugfix, refactor, etc.)
  • Estimate complexity
  • Extract key requirements

2. Track Detection

Check conductor/tracks.md for matching existing tracks:

  • If match found: Resume that track from its current state
  • If no match: Create a new track

3. For New Tracks

  1. Create track directory: conductor/tracks/{goal-slug}_{date}/
  2. Generate spec.md from the goal
  3. Generate plan.md with DAG
  4. Create metadata.json with v3 schema AND set superpower_enhanced: true (new tracks use superpowers by default)

Example metadata.json:

json
{
  "version": 3,
  "track_id": "goal-slug_20260213",
  "type": "feature",
  "status": "new",
  "superpower_enhanced": true,
  "loop_state": {
    "current_step": "NOT_STARTED",
    "step_status": "NOT_STARTED"
  }
}

4. Run the Evaluate-Loop

Invoke the conductor-orchestrator agent:

Use the conductor-orchestrator agent to run the evaluate-loop for this track.

The orchestrator will:

  • Detect current step from metadata
  • Check superpower_enhanced flag to determine which agents to use:
    • If true (new tracks): Dispatch superpowers (orchestrator-supaconductor:writing-plans, orchestrator-supaconductor:executing-plans, orchestrator-supaconductor:systematic-debugging)
    • If false/missing (legacy): Dispatch legacy loop agents (loop-planner, loop-executor, loop-fixer)
  • Monitor progress and handle failures
  • Complete the track or escalate if blocked

Decision Resolution

Behavior depends on conductor/config.json"mode":

  • "agentic" (default) — Fully autonomous. Never stops to ask the user. All decisions resolved by agents, leads, and board.
  • "human-in-the-loop" — Pauses at decision points (ambiguity, blockers, fix limits, high-impact decisions) to ask the user.

See conductor/config.json for current mode. Edit to switch.

Resume Existing Work

/go                    # Continues the active track
/go continue           # Same as above

Frequently asked questions

What does the Go AI skill do?

The single entry point to the Conductor system - state your goal and everything is handled automatically

Why use Go on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Ibrahim-3d/orchestrator-supaconductor/tree/master/skills/go. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Go?

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 Go?

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

Is the Go AI skill free?

Yes. It is published on GitHub by Ibrahim-3d under the AGPL-3.0 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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