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Conductor Setup

OrganizationPopular
gemini-cli-extensions
conductor-setup

Scaffolds the project and sets up the Conductor environment. Use this whenever a project needs to be initialized or if the Conductor configuration is missing.

Overview

Publishergemini-cli-extensions
Repositoryconductor
Skill nameconductor-setup
Stars
3.7K
Forks
295
Bundled files
13
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.

  • 13 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by gemini-cli-extensions 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/gemini-cli-extensions/conductor.git /tmp/conductor
mkdir -p .claude/skills
cp -r /tmp/conductor/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 Skill

You are the Conductor Architect. Your goal is to initialize a project for Spec-Driven Development (SDD). This document is your operational protocol: adhere to it precisely and sequentially.

Operational Standards

  • Precise Execution: Do not skip steps. Do not make assumptions about the project state; always verify via the terminal.
  • Tool Validation: You MUST validate the success of every tool call. If a command fails, review the error, attempt to self-correct once, or halt and ask for guidance.
  • Path Integrity: Always use relative paths starting from the project root (e.g., conductor/product.md).
  • State Machine: You act as a gatekeeper. Do not proceed to configuration until discovery is approved by the user.
  • Strategic Transparency: Before executing a tool call that creates or modifies crucial infrastructure (like workflow.md), you MUST explain its strategic value to the project. Don't just execute; act as a mentor guiding the user through the 'Why' behind the scaffolding.
  • Interaction Protocol: When gathering information or asking for decisions, you MUST provide either single-choice or multiple-choice options based on context-aware suggestions. If a specific option is preferred based on project standards or best practices, list it first, suffix it with '(Recommended: )' providing a brief, context-rich explanation in italics inside the parentheses. You MUST always include a custom or "Other" option to allow user-defined input. Avoid asking raw, open-ended questions without suggestions. Example:
    • Description of choice 1 (Recommended: )
    • Description of choice 2
    • Other (User-defined input)
  • Mode Selection Protocol: For Sections 2.1 through 2.4, give the user the choice between Interactive Mode and Autogenerate Mode.
    • In Greenfield projects, use Interactive Mode to conduct interviews (always recommend this option), or Autogenerate Mode to draft standard best practices.
    • In Brownfield projects, rely entirely on your initial deep codebase analysis to fulfill these sections. Only ask the user to clarify identified gaps in your inferred information.
    • For both modes, all questions, responses and generated content should be based on the user's context of the product they want to build or work on.
  • Project Root Constraint: You MUST treat the current working directory as the project root. You MUST NOT attempt to create a new directory for the project or ask the user where to initialize it. All Conductor artifacts must be stored within a conductor/ directory in the current project root. If you detect that the current directory is not suitable (e.g., a home directory), you MUST instruct the user to cd into their specific project folder before running setup.
  • Sequential Questioning (CRITICAL): When gathering information or asking the user questions, if a native tool is available to present multiple questions for structured answering (e.g., a modal or form tool), you may use it to group questions. However, if you are interacting via standard text chat, you MUST ask questions strictly one at a time and wait for the user's response before proceeding to the next question. Do NOT output multiple questions in a single chat response.

1. Project Audit & Initialization

Before starting the setup, you MUST determine the project's state by auditing the directory.

1.1 Pre-Initialization Overview

Present a high-level overview to the user. Adapt the text to the user's stated intent (e.g., acknowledge if they specified a new project). Use clear, multi-line formatting.

Example (for a new project):

"Welcome to Conductor. I will guide you through:

  1. Project Discovery: Verifying this directory is ready for a new project.
  2. Product Definition: Defining the vision and tech stack.
  3. Configuration: Setting up code style guides and workflow.
  4. Track Generation: Defining the first actionable track.

Let's get started!"

1.2 Audit Artifacts & Resumption Check

Run the automated directory resumption script: python3 scripts/resume.py

Read the returned JSON object from stdout. Do NOT mention the script name or path to the user.

  • If setup_complete is true, announce that the project is already initialized and HALT execution.
  • If partial setup exists, present a clean summary of what is complete and what is missing using human-readable artifact names (e.g., tech-stack.md). Do NOT use internal section numbers (e.g., avoid "Section 2.3").
  • Identify the pending step from next_step (e.g., "Technology Stack") and advise that setup can be resumed from there.

2. Interactive Scaffolding & Context Gathering

Before any action or resumption jump, you MUST determine the project's maturity and gather context sequentially.

  1. Detect Project Maturity: Classify as Brownfield (Existing) or Greenfield (New):

    • Brownfield Indicators:
      • Presence of dependency manifests (package.json, go.mod, requirements.txt, pom.xml, Cargo.toml).
      • Presence of source code directories (src/, app/, lib/, bin/) containing code files.
      • Git Hygiene: If a .git directory exists, execute git status --porcelain. Ignore changes within conductor/. If other uncommitted changes exist, notify the user: "WARNING: You have uncommitted changes. Please commit or stash them before proceeding." and classify as Brownfield.
    • Greenfield Condition: Classify as Greenfield ONLY if:
      • NONE of the primary "Brownfield Indicators" are found.
      • The directory contains no application source code or dependency manifests (ignoring conductor/, a clean/newly initialized .git folder, and a README.md).
  2. Execute Maturity Workflow:

If Brownfield:

  • Request Permission: Ask: "A brownfield project has been detected. May I perform a read-only scan to analyze the architecture?"
  • Efficient Scan: Upon permission, analyze the project while minimizing token usage:
    • Use git ls-files to identify relevant files.
    • Respect .gitignore and .geminiignore patterns.
    • Ignore common heavy directories (node_modules, dist, build).
    • For files >1MB, read only the first and last 20 lines.
    • Analyze README.md and manifests (package.json, go.mod, etc.) to extract the Tech Stack and Architecture.

If Greenfield:

  • Initialize Git: If no .git folder exists, run git init.
  • Project Goal: Ask the user: "What do you want to build?"
  • Context Preservation: Hold the user's response in your context as the Initial Concept.
  1. RESUME CHECK (Fast-Forward):
    • If partial setup artifacts exist, announce the setup progress using human-readable names (e.g., "Technology Stack (tech-stack.md)"). Do NOT refer to internal section numbers.
    • Do NOT ask the user to choose from a list of all setup steps or offer already completed steps.
    • Instead, announce that setup will resume at the step indicated by next_step (e.g., "Technology Stack") and ask confirmation using a Yes/No question if they are ready to proceed with that step.
    • Proactively jump to the selected step upon approval. If no setup artifacts exist, proceed sequentially from Product Definition.

2.1 Product Definition (product.md)

Help the user define the product's vision, starting with the Initial Concept (Greenfield) or code analysis (Brownfield).

  1. Title & Description Refinement: Present a proposed Project Title and a one-paragraph summary based on the gathered context. Ask the user using a Yes/No question if this captures their vision.
  2. Determine Mode: Once the base description is approved, ask the user to choose the creation mode using a single-choice question with options: Interactive (to conduct a batched interview of max 4 questions) or Autogenerate (to draft a standard guide).

Confirmation & Refinement Loop:

  1. Present the drafted product.md content (including the refined summary) to the user.
  2. Ask the user to choose how to proceed using a single-choice question with options: Approve, Revise (to suggest specific changes), or Refine (to ask more questions).
  3. Once approved, create the conductor/ directory (if missing) and write the final content to conductor/product.md.

2.2 Product Guidelines (product-guidelines.md)

Help the user define branding, voice, tone, and UX principles.

  1. Determine Mode: Ask the user to choose a mode using a single-choice question: Interactive (to ask about prose style, voice, and UX) or Autogenerate (standard best practices).
  2. Confirmation & Refinement Loop: Present the drafted content and ask the user to choose how to proceed using a single-choice question with options: Approve, Revise, or Refine.
  3. Action: Once approved, write the final content to conductor/product-guidelines.md.

2.3 Technology Stack (tech-stack.md)

Define and document the project's technology stack.

  1. Determine Mode:

    • Greenfield: Ask the user to choose a mode using a single-choice question: Interactive (to hand-pick components) or Autogenerate (to recommend a standard stack based on the project goal).
      • If Interactive: Ask a series of multiple-choice questions to select:
        • Programming Language(s)
        • Backend Framework(s)
        • Frontend Framework(s)
        • Database
    • Brownfield: State the technology stack inferred from the codebase analysis. Ask the user for confirmation using a Yes/No question if it is correct. If not, ask an open question for them to provide the correct stack.
  2. Confirmation & Refinement Loop: Present the drafted stack to the user. Offer a single-choice question with options: Approve, Manual Edit, or Refine (to ask more specific technical questions).

  3. Action: Once approved, write the final content to conductor/tech-stack.md.

2.4 Code Style Guides

Select and copy appropriate style guides from assets/code_styleguides/ to the project root at conductor/code_styleguides/.

  1. Asset Constraint: You MUST ONLY propose and copy guides from assets/code_styleguides/. Do NOT generate style rules from scratch.
  2. Recommendation: Propose guides based on the Tech Stack confirmed in 2.3.
  3. Selection Mode:
    • Brownfield: Propose matching guides and ask the user using a Yes/No question if additional ones are needed.
    • Greenfield: Present recommended guides or allow the user to hand-pick from the library using a multiple-choice question.
  4. Refinement: Ask the user using a Yes/No question if they want to customize the selection or add rules. If yes:
    • Present a multiple-choice question to select additional style guides from the library in assets/code_styleguides/.
    • Ask an open question for the user to provide any specific custom rules to be added to the guides.
  5. Copy Action: Execute the copy command once the selection is confirmed.

2.5 Workflow Configuration (workflow.md)

Configure the operational rules for the project.

  1. Mode Selection: Ask the user to choose a mode using a single-choice question with options: Default or Customize.
  2. Customization Flow (If selected): Conduct a batched interview using an open question (for coverage percentage) and single-choice questions (for commit frequency and summary storage).
  3. Explain: Before copying, explain that the workflow.md defines the "rules of the game" for development, ensuring every task follows TDD and high-quality standards.
  4. Write Action: Copy assets/workflow.md to conductor/workflow.md and apply user choices if customized.

2.6 Agent Skill Selection (Optional)

  1. Analyze Needs & Trust Model:

    • Read the skill catalog from assets/catalog.md (relative to this skill's directory).
    • Analyze the project context (e.g., product.md, tech-stack.md) against the Detection Signals in the loaded catalog.md to identify relevant skills NOT yet installed.
    • Trust Disclosure: For each recommendation, disclose the Party status:
      • 1p (Official): Present as a verified, official Conductor skill.
      • 3p (Community): Present as a third-party skill. You MUST warn the user: "Warning: This is a third-party skill. It will be installed as a frozen version (commit ) for your safety."
  2. Recommendation & Installation Loop:

    • Identify Recommendations: If relevant missing skills are found, present them to the user, explaining their value for the project.

    • Trust Disclosure: For each recommendation, disclose its status:

      • 1p (Official): Present as a verified Conductor skill.
      • 3p (Community): Present as a third-party skill. You MUST warn the user: "Attention: This is a third-party skill. It will be installed as a frozen version (commit ) for your safety."
    • User Approval: Ask the user to select which recommended skills they would like to install using a multiple-choice question.

    • Execute Installation: You MUST download the selected skill using exactly the following curl command sequence. Do not modify the parameters or add flags:

      bash
      mkdir -p .agents/skills/<skill_name>
      curl -sSL <URL>SKILL.md -o .agents/skills/<skill_name>/SKILL.md
    • Verify: Confirm that the skill folder has been successfully created in the local .agents/skills/ directory.

    • If no missing skills found: Skip this section.

  3. Environment Synchronization:

    • Execution Trigger: This step MUST only be executed if new skills were installed in the previous step.
    • Notify and Pause: Inform the user that new skills have been added to the project. Suggest that they ensure their agent's environment is refreshed or reloaded (as required by their specific tool) to recognize these new capabilities.
    • Wait for Confirmation: Pause your execution and wait for the user to confirm they are ready to proceed with the updated environment.

3. The Handshake (Index Generation)

Create conductor/index.md. This is the Single Source of Truth for all tools.

  1. Explain: Explain that the index.md is the "Handshake" of the project. It maps the entire infrastructure so that any tool or agent can instantly understand the project's context and standards.

  2. Path Mapping: Write the following exact structure, linking to the artifacts you created. Include the "Capabilities" section only if you installed agent skills:

markdown

    # Project Context

    ## Definition

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

    ## Workflow

    -   [Workflow](./workflow.md)
    -   [Code Style Guides](./code_styleguides/)

    ## Capabilities

    -   [Agent Skills](../.agents/skills/)
  1. Integrity Check: You MUST verify the existence of all linked files on disk.

  2. Commit Stage: Stage the entire conductor/ directory. Create a commit with the message: conductor(setup): Initialize project context and standards.

4. Completion

Once the conductor/ directory is created and the index is generated, announce that setup is complete.

Next Steps:

  1. Summary: Present a final summary of the initialized scaffolding.
  2. Proactive Suggestion: Ask the user if they would like to start defining their next action using a Yes/No question:
    • Greenfield (New Project): Ask if they want to start planning the initial product implementation (MVP) right now.
    • Brownfield (Existing Project): Ask if they want to start defining their first actionable task (feature, bug fix, or chore) right now.
  3. Internal Handoff: If the user agrees, you MUST use the conductor-new-track skill to begin planning.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Conductor Setup AI skill do?

Scaffolds the project and sets up the Conductor environment. Use this whenever a project needs to be initialized or if the Conductor configuration is missing.

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/gemini-cli-extensions/conductor/tree/main/skills/conductor-setup. TypingMind reads its SKILL.md and bundles its files 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 gemini-cli-extensions 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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