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Conductor Setup

CommunityPopular
rmyndharis
conductor-setup

Initialize project with Conductor artifacts (product definition, tech stack, workflow, style guides)

Overview

Publisherrmyndharis
Repositoryantigravity-skills
Skill nameconductor-setup
Stars
1.6K
Forks
264
Bundled files
Instructions only
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.

  • Self-contained

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

  • Open source

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

Installation

Install the Conductor Setup 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/rmyndharis/antigravity-skills.git /tmp/antigravity-skills
mkdir -p .claude/skills
cp -r /tmp/antigravity-skills/skills/conductor-setup .claude/skills/conductor-setup
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Conductor Setup 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 Conductor Setup 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 Conductor Setup 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.

Conductor Setup

Initialize or resume Conductor project setup. This command creates foundational project documentation through interactive Q&A.

Use this skill when

  • Working on conductor setup tasks or workflows
  • Needing guidance, best practices, or checklists for conductor setup

Do not use this skill when

  • The task is unrelated to conductor setup
  • You need a different domain or tool outside this scope

Instructions

  • Clarify goals, constraints, and required inputs.
  • Apply relevant best practices and validate outcomes.
  • Provide actionable steps and verification.

Pre-flight Checks

  1. Check if conductor/ directory already exists in the project root:

    • If conductor/product.md exists: Ask user whether to resume setup or reinitialize
    • If conductor/setup_state.json exists with incomplete status: Offer to resume from last step
  2. Detect project type by checking for existing indicators:

    • Greenfield (new project): No .git, no package.json, no requirements.txt, no go.mod, no src/ directory
    • Brownfield (existing project): Any of the above exist
  3. Load or create conductor/setup_state.json:

    json
    {
      "status": "in_progress",
      "project_type": "greenfield|brownfield",
      "current_section": "product|guidelines|tech_stack|workflow|styleguides",
      "current_question": 1,
      "completed_sections": [],
      "answers": {},
      "files_created": [],
      "started_at": "ISO_TIMESTAMP",
      "last_updated": "ISO_TIMESTAMP"
    }

Interactive Q&A Protocol

CRITICAL RULES:

  • Ask ONE question per turn
  • Wait for user response before proceeding
  • Offer 2-3 suggested answers plus "Type your own" option
  • Maximum 5 questions per section
  • Update setup_state.json after each successful step
  • Validate file writes succeeded before continuing

Section 1: Product Definition (max 5 questions)

Q1: Project Name

What is your project name?

Suggested:
1. [Infer from directory name]
2. [Infer from package.json/go.mod if brownfield]
3. Type your own

Q2: Project Description

Describe your project in one sentence.

Suggested:
1. A web application that [does X]
2. A CLI tool for [doing Y]
3. Type your own

Q3: Problem Statement

What problem does this project solve?

Suggested:
1. Users struggle to [pain point]
2. There's no good way to [need]
3. Type your own

Q4: Target Users

Who are the primary users?

Suggested:
1. Developers building [X]
2. End users who need [Y]
3. Internal teams managing [Z]
4. Type your own

Q5: Key Goals (optional)

What are 2-3 key goals for this project? (Press enter to skip)

Section 2: Product Guidelines (max 3 questions)

Q1: Voice and Tone

What voice/tone should documentation and UI text use?

Suggested:
1. Professional and technical
2. Friendly and approachable
3. Concise and direct
4. Type your own

Q2: Design Principles

What design principles guide this project?

Suggested:
1. Simplicity over features
2. Performance first
3. Developer experience focused
4. User safety and reliability
5. Type your own (comma-separated)

Section 3: Tech Stack (max 5 questions)

For brownfield projects, first analyze existing code:

  • Run Glob to find package.json, requirements.txt, go.mod, Cargo.toml, etc.
  • Parse detected files to pre-populate tech stack
  • Present findings and ask for confirmation/additions

Q1: Primary Language(s)

What primary language(s) does this project use?

[For brownfield: "I detected: Python 3.11, JavaScript. Is this correct?"]

Suggested:
1. TypeScript
2. Python
3. Go
4. Rust
5. Type your own (comma-separated)

Q2: Frontend Framework (if applicable)

What frontend framework (if any)?

Suggested:
1. React
2. Vue
3. Next.js
4. None / CLI only
5. Type your own

Q3: Backend Framework (if applicable)

What backend framework (if any)?

Suggested:
1. Express / Fastify
2. Django / FastAPI
3. Go standard library
4. None / Frontend only
5. Type your own

Q4: Database (if applicable)

What database (if any)?

Suggested:
1. PostgreSQL
2. MongoDB
3. SQLite
4. None / Stateless
5. Type your own

Q5: Infrastructure

Where will this be deployed?

Suggested:
1. AWS (Lambda, ECS, etc.)
2. Vercel / Netlify
3. Self-hosted / Docker
4. Not decided yet
5. Type your own

Section 4: Workflow Preferences (max 4 questions)

Q1: TDD Strictness

How strictly should TDD be enforced?

Suggested:
1. Strict - tests required before implementation
2. Moderate - tests encouraged, not blocked
3. Flexible - tests recommended for complex logic

Q2: Commit Strategy

What commit strategy should be followed?

Suggested:
1. Conventional Commits (feat:, fix:, etc.)
2. Descriptive messages, no format required
3. Squash commits per task

Q3: Code Review Requirements

What code review policy?

Suggested:
1. Required for all changes
2. Required for non-trivial changes
3. Optional / self-review OK

Q4: Verification Checkpoints

When should manual verification be required?

Suggested:
1. After each phase completion
2. After each task completion
3. Only at track completion

Section 5: Code Style Guides (max 2 questions)

Q1: Languages to Include

Which language style guides should be generated?

[Based on detected languages, pre-select]

Options:
1. TypeScript/JavaScript
2. Python
3. Go
4. Rust
5. All detected languages
6. Skip style guides

Q2: Existing Conventions

Do you have existing linting/formatting configs to incorporate?

[For brownfield: "I found .eslintrc, .prettierrc. Should I incorporate these?"]

Suggested:
1. Yes, use existing configs
2. No, generate fresh guides
3. Skip this step

Artifact Generation

After completing Q&A, generate the following files:

1. conductor/index.md

markdown
# Conductor - [Project Name]

Navigation hub for project context.

## Quick Links

- [Product Definition](./product.md)
- [Product Guidelines](./product-guidelines.md)
- [Tech Stack](./tech-stack.md)
- [Workflow](./workflow.md)
- [Tracks](./tracks.md)

## Active Tracks

<!-- Auto-populated by /conductor:new-track -->

## Getting Started

Run `/conductor:new-track` to create your first feature track.

2. conductor/product.md

Template populated with Q&A answers for:

  • Project name and description
  • Problem statement
  • Target users
  • Key goals

3. conductor/product-guidelines.md

Template populated with:

  • Voice and tone
  • Design principles
  • Any additional standards

4. conductor/tech-stack.md

Template populated with:

  • Languages (with versions if detected)
  • Frameworks (frontend, backend)
  • Database
  • Infrastructure
  • Key dependencies (for brownfield, from package files)

5. conductor/workflow.md

Template populated with:

  • TDD policy and strictness level
  • Commit strategy and conventions
  • Code review requirements
  • Verification checkpoint rules
  • Task lifecycle definition

6. conductor/tracks.md

markdown
# Tracks Registry

| Status | Track ID | Title | Created | Updated |
| ------ | -------- | ----- | ------- | ------- |

<!-- Tracks registered by /conductor:new-track -->

7. conductor/code_styleguides/

Generate selected style guides from $CLAUDE_PLUGIN_ROOT/templates/code_styleguides/

State Management

After each successful file creation:

  1. Update setup_state.json:
    • Add filename to files_created array
    • Update last_updated timestamp
    • If section complete, add to completed_sections
  2. Verify file exists with Read tool

Completion

When all files are created:

  1. Set setup_state.json status to "complete"

  2. Display summary:

    Conductor setup complete!
    
    Created artifacts:
    - conductor/index.md
    - conductor/product.md
    - conductor/product-guidelines.md
    - conductor/tech-stack.md
    - conductor/workflow.md
    - conductor/tracks.md
    - conductor/code_styleguides/[languages]
    
    Next steps:
    1. Review generated files and customize as needed
    2. Run /conductor:new-track to create your first track

Resume Handling

If --resume argument or resuming from state:

  1. Load setup_state.json
  2. Skip completed sections
  3. Resume from current_section and current_question
  4. Verify previously created files still exist
  5. If files missing, offer to regenerate

Error Handling

  • If file write fails: Halt and report error, do not update state
  • If user cancels: Save current state for future resume
  • If state file corrupted: Offer to start fresh or attempt recovery

Frequently asked questions

What does the Conductor Setup AI skill do?

Initialize project with Conductor artifacts (product definition, tech stack, workflow, style guides)

Why use Conductor Setup on TypingMind?

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

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

Which AI models can use Conductor Setup?

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 Conductor Setup?

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

Is the Conductor Setup AI skill free?

Yes. It is published on GitHub by rmyndharis 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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