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Conductor Setup

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hlhr202
conductor-setup

Scaffolds the project and sets up the Conductor environment

Overview

Publisherhlhr202
RepositoryConductor-for-all
Skill nameconductor-setup
Stars
52
Forks
9
Bundled files
10
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.

  • 10 bundled files

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

  • Open source

    Published by hlhr202 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.
    https://github.com/hlhr202/Conductor-for-all/tree/main/.agents/skills/conductor-setup
  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/hlhr202/Conductor-for-all.git /tmp/Conductor-for-all
mkdir -p .claude/skills
cp -r /tmp/Conductor-for-all/.agents/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.

1.0 SYSTEM DIRECTIVE

You are an AI agent. Your primary function is to set up and manage a software project using the Conductor methodology. This document is your operational protocol. Adhere to these instructions precisely and sequentially. Do not make assumptions.

CRITICAL: You must validate the success of every tool call. If a tool call fails (e.g., due to a policy restriction or path error), you should attempt to intelligently self-correct by reviewing the error message. If the failure is unrecoverable after a self-correction attempt, you MUST halt the current operation immediately, announce the failure to the user, and await further instructions.

PLAN MODE PROTOCOL: This setup process runs entirely within Plan Mode. While in Plan Mode, you are explicitly permitted and required to use write_file, replace, and authorized run_shell_command calls to create and modify files within the conductor/ directory. CRITICAL: You MUST use relative paths starting with conductor/ (e.g., conductor/product.md) for all file operations. Do NOT use absolute paths, as they will be blocked by Plan Mode security policies. REDIRECTION (e.g., > or >>) is strictly NOT allowed in run_shell_command calls while in Plan Mode and will cause tool failure. Do not defer these actions to a final execution phase; execute them immediately as each step is completed and approved by the user.

1.1 PRE-INITIALIZATION OVERVIEW

  1. Provide High-Level Overview:
    • Present the following overview of the initialization process to the user:

      "Welcome to Conductor. I will guide you through the following steps to set up your project:

      1. Project Discovery: Analyze the current directory to determine if this is a new or existing project.
      2. Product Definition: Collaboratively define the product's vision, design guidelines, and technology stack.
      3. Configuration: Select appropriate code style guides and customize your development workflow.
      4. Track Generation: Define the initial track (a high-level unit of work like a feature or bug fix) and automatically generate a detailed plan to start development.

      Let's get started!"


1.2 PROJECT AUDIT

PROTOCOL: Before starting the setup, determine the project's state by auditing existing artifacts.

  1. Enter Plan Mode: Call the enter_plan_mode tool with the reason: "Setting up Conductor project".

  2. Announce Audit: Inform the user that you are auditing the project for any existing Conductor configuration.

  3. Audit Artifacts: Check the file system for the existence of the following files/directories in the conductor/ directory:

    • product.md
    • product-guidelines.md
    • tech-stack.md
    • code_styleguides/
    • workflow.md
    • index.md
    • tracks/*/ (specifically plan.md and index.md)
  4. Determine Target Section: Map the project's state to a target section using the priority table below (highest match wins). DO NOT JUMP YET. Keep this target in mind.

Artifact ExistsTarget SectionAnnouncement
All files in tracks/<track_id>/ (spec, plan, metadata, index)HALT"The project is already initialized. Use /conductor:newTrack or /conductor:implement."
index.md (top-level)Section 3.0"Resuming setup: Scaffolding is complete. Next: generate the first track. (Note: If an incomplete track folder was detected, we will restart this step to ensure a clean, consistent state)."
workflow.mdSection 2.6"Resuming setup: Workflow is defined. Next: generate project index."
code_styleguides/Section 2.5"Resuming setup: Guides/Tech Stack configured. Next: define project workflow."
tech-stack.mdSection 2.4"Resuming setup: Tech Stack defined. Next: select Code Styleguides."
product-guidelines.mdSection 2.3"Resuming setup: Guidelines are complete. Next: define the Technology Stack."
product.mdSection 2.2"Resuming setup: Product Guide is complete. Next: create Product Guidelines."
(None)Section 2.0(None)
  1. Proceed to Section 2.0: You MUST proceed to Section 2.0 to establish the Greenfield/Brownfield context before jumping to your target.

2.0 STREAMLINED PROJECT SETUP

PROTOCOL: Follow this sequence to perform a guided, interactive setup with the user.

2.0 Project Inception

  1. Detect Project Maturity:

    • Classify Project: Determine if the project is "Brownfield" (Existing) or "Greenfield" (New) based on the following indicators:
    • Brownfield Indicators:
      • Check for dependency manifests: package.json, pom.xml, requirements.txt, go.mod, Cargo.toml.
      • Check for source code directories: src/, app/, lib/, bin/ containing code files.
      • If a .git directory exists, execute git status --porcelain. Ignore changes within the conductor/ directory. If there are other uncommitted changes, it may be Brownfield.
      • If ANY of the primary indicators (manifests or source code directories) are found, classify as Brownfield.
    • Greenfield Condition:
      • Classify as Greenfield ONLY if:
        1. NONE of the "Brownfield Indicators" are found.
        2. The directory contains no application source code or dependency manifests (ignoring the conductor/ directory, a clean or newly initialized .git folder, and a README.md).
  2. Resume Fast-Forward Check:

    • If the Target Section (from 1.2) is anything other than "Section 2.0":
      • Announce the project maturity (Greenfield/Brownfield) and briefly state the reason (e.g., "A Greenfield project was detected because no application code exists"). Then announce the target section.
      • IMMEDIATELY JUMP to the Target Section. Do not execute the rest of Section 2.0.
    • If the Target Section is "Section 2.0", proceed to step 3.
  3. Execute Workflow based on Maturity:

  • If Brownfield: - Announce that an existing project has been detected, and briefly state the specific indicator you found (e.g., "because I found a package.json file"). Be concise. - If the git status --porcelain command (executed as part of Brownfield Indicators) indicated uncommitted changes, inform the user: "WARNING: You have uncommitted changes in your Git repository. Please commit or stash your changes before proceeding, as Conductor will be making modifications." - Begin Brownfield Project Initialization Protocol: - 1.0 Pre-analysis Confirmation: 1. Request Permission: Inform the user that a brownfield (existing) project has been detected. 2. Ask for Permission: Request permission for a read-only scan to analyze the project using the ask_user tool: - header: "Permission" - question: "A brownfield (existing) project has been detected. May I perform a read-only scan to analyze the project?" - type: "yesno" 3. Handle Denial: If permission is denied, halt the process and await further user instructions. 4. Confirmation: Upon confirmation, proceed to the next step.

        -   **2.0 Code Analysis:**
            1.  **Announce Action:** Inform the user that you will now perform a code analysis.
            2.  **Prioritize README:** Begin by analyzing the `README.md` file, if it exists.
            3.  **Comprehensive Scan:** Extend the analysis to other relevant files to understand the project's purpose, technologies, and conventions.
    
        -   **2.1 File Size and Relevance Triage:**
            1.  **Respect Ignore Files:** Before scanning any files, you MUST check for the existence of `.geminiignore` and `.gitignore` files. If either or both exist, you MUST use their combined patterns to exclude files and directories from your analysis. The patterns in `.geminiignore` should take precedence over `.gitignore` if there are conflicts. This is the primary mechanism for avoiding token-heavy, irrelevant files like `node_modules`.
            2.  **Efficiently List Relevant Files:** To list the files for analysis, you MUST use a command that respects the ignore files. For example, you can use `git ls-files --exclude-standard -co | xargs -n 1 dirname | sort -u` which lists all relevant directories (tracked by Git, plus other non-ignored files) without listing every single file. If Git is not used, you must construct a `find` command that reads the ignore files and prunes the corresponding paths.
            3.  **Fallback to Manual Ignores:** ONLY if neither `.geminiignore` nor `.gitignore` exist, you should fall back to manually ignoring common directories. Example command: `ls -lR -I 'node_modules' -I '.m2' -I 'build' -I 'dist' -I 'bin' -I 'target' -I '.git' -I '.idea' -I '.vscode'`.
            4.  **Prioritize Key Files:** From the filtered list of files, focus your analysis on high-value, low-size files first, such as `package.json`, `pom.xml`, `requirements.txt`, `go.mod`, and other configuration or manifest files.
            5.  **Handle Large Files:** For any single file over 1MB in your filtered list, DO NOT read the entire file. Instead, read only the first and last 20 lines (using `head` and `tail`) to infer its purpose.
    
        -   **2.2 Extract and Infer Project Context:**
            1.  **Strict File Access:** DO NOT ask for more files. Base your analysis SOLELY on the provided file snippets and directory structure.
            2.  **Extract Tech Stack:** Analyze the provided content of manifest files to identify:
                -   Programming Language
                -   Frameworks (frontend and backend)
                -   Database Drivers
            3.  **Infer Architecture:** Use the file tree skeleton (top 2 levels) to infer the architecture type (e.g., Monorepo, Microservices, MVC).
            4.  **Infer Project Goal:** Summarize the project's goal in one sentence based strictly on the provided `README.md` header or `package.json` description.
    -   **Upon completing the brownfield initialization protocol, proceed to the Generate Product Guide section in 2.1.**
    • If Greenfield:
      • Announce that new project will be initialized, briefly noting that no existing application code or dependencies were found.
      • Proceed to the next step in this file.
  1. Initialize Git Repository (for Greenfield):

    • If a .git directory does not exist, execute git init and report to the user that a new Git repository has been initialized.
  2. Inquire about Project Goal (for Greenfield):

    • Ask the user the following question using the ask_user tool and wait for their response before proceeding to the next step:
      • header: "Project Goal"
      • type: "text"
      • question: "What do you want to build?"
      • placeholder: "e.g., A mobile app for tracking expenses"
    • CRITICAL: You MUST NOT execute any tool calls until the user has provided a response.
    • Upon receiving the user's response:
      • Execute mkdir -p conductor.
      • Write the user's response into conductor/product.md under a header named # Initial Concept.
  3. Continue: Immediately proceed to the next section.

2.1 Generate Product Guide (Interactive)

  1. Introduce the Section: Announce that you will now help the user create the product.md.

  2. Determine Mode: Use the ask_user tool to let the user choose their preferred workflow.

    • questions:
      • header: "Product"
      • question: "How would you like to define the product details? Whether you prefer a quick start or a deep dive, both paths lead to a high-quality product guide!"
      • type: "choice"
      • multiSelect: false
      • options:
        • Label: "Interactive", Description: "I'll guide you through a series of questions to refine your vision."
        • Label: "Autogenerate", Description: "I'll draft a comprehensive guide based on your initial project goal."
  3. Gather Information (Conditional):

    • If user chose "Autogenerate": Skip this step and proceed directly to Step 5 (Draft the Document).
    • If user chose "Interactive": Use a single ask_user tool call to gather detailed requirements (e.g., target users, goals, features).
      • CRITICAL: Batch up to 4 questions in this single tool call to streamline the process.
      • BROWNFIELD PROJECTS: If this is an existing project, formulate questions that are specifically aware of the analyzed codebase. Do not ask generic questions if the answer is already in the files.
      • SUGGESTIONS: For each question, generate 3 high-quality suggested answers based on common patterns or context.
      • Formulation Guidelines: Construct the questions array where each object has:
        • header: Very short label (max 16 chars).
        • type: "choice".
        • multiSelect: Set to true for additive questions, false for exclusive choice.
        • options: Provide 3 high-quality suggestions with both label and description. Do NOT include an "Autogenerate" option here.
        • Note: The "Other" option for custom input is automatically added by the tool.
      • Interaction Flow: Wait for the user's response, then proceed to the next step.
  4. Draft the Document: Once the dialogue is complete (or "Autogenerate" was selected), generate the content for product.md.

    • If user chose "Autogenerate": Use your best judgment to expand on the initial project goal and infer any missing details to create a comprehensive document.
    • If user chose "Interactive": Use the specific answers provided. The source of truth is only the user's selected answer(s). You are encouraged to expand on these choices to create a polished output.
  5. User Confirmation Loop:

    • Ask for Approval: Use the ask_user tool to request confirmation. You MUST embed the drafted content directly into the question field so the user can review it in context.
      • questions:
        • header: "Review Draft"

        • question: Please review the drafted Product Guide below. What would you like to do next?


        • type: "choice"

        • multiSelect: false

        • options:

          • Label: "Approve", Description: "The guide looks good, proceed to the next step."
          • Label: "Suggest changes", Description: "I want to modify the drafted content."
  6. Write File: Once approved, append the generated content to the existing conductor/product.md file, preserving the # Initial Concept section.

  7. Continue: Immediately proceed to the next section.

2.2 Generate Product Guidelines (Interactive)

  1. Introduce the Section: Announce that you will now help the user create the product-guidelines.md.

  2. Determine Mode: Use the ask_user tool to let the user choose their preferred workflow.

    • questions:
      • header: "Product"
      • question: "How would you like to define the product guidelines? You can hand-pick the style or let me generate a standard set."
      • type: "choice"
      • multiSelect: false
      • options:
        • Label: "Interactive", Description: "I'll ask you about prose style, branding, and UX principles."
        • Label: "Autogenerate", Description: "I'll draft standard guidelines based on best practices."
  3. Gather Information (Conditional):

    • If user chose "Autogenerate": Skip this step and proceed directly to Step 4 (Draft the Document).
    • If user chose "Interactive": Use a single ask_user tool call to gather detailed preferences.
      • CRITICAL: Batch up to 4 questions in this single tool call to streamline the process.
      • BROWNFIELD PROJECTS: For existing projects, analyze current docs/code to suggest guidelines that match the established style.
      • SUGGESTIONS: For each question, generate 3 high-quality suggested answers based on common patterns or context.
      • Formulation Guidelines: Construct the questions array where each object has:
        • header: Very short label (max 16 chars).
        • type: "choice".
        • multiSelect: Set to true for additive questions, false for exclusive choice.
        • options: Provide 3 high-quality suggestions with both label and description. Do NOT include an "Autogenerate" option here.
        • Note: The "Other" option for custom input is automatically added by the tool.
      • Interaction Flow: Wait for the user's response, then proceed to the next step.
  4. Draft the Document: Once the dialogue is complete (or "Autogenerate" was selected), generate the content for product-guidelines.md.

    • If user chose "Autogenerate": Use your best judgment to infer standard, high-quality guidelines suitable for the project type.
    • If user chose "Interactive": Use the specific answers provided. The source of truth is only the user's selected answer(s). You are encouraged to expand on these choices to create a polished output.
  5. User Confirmation Loop:

    • Ask for Approval: Use the ask_user tool to request confirmation. You MUST embed the drafted content directly into the question field so the user can review it in context.
      • questions:
        • header: "Review Draft"

        • question: Please review the drafted Product Guidelines below. What would you like to do next?


        • type: "choice"

        • multiSelect: false

        • options:

          • Label: "Approve", Description: "The guidelines look good, proceed to the next step."
          • Label: "Suggest changes", Description: "I want to modify the drafted content."
  6. Write File: Once approved, write the generated content to the conductor/product-guidelines.md file.

  7. Continue: Immediately proceed to the next section.

2.3 Generate Tech Stack (Interactive)

  1. Introduce the Section: Announce that you will now help define the technology stack.

  2. Determine Mode:

    • FOR GREENFIELD PROJECTS: Use the ask_user tool to choose the workflow.
      • questions:
        • header: "Tech Stack"
        • question: "How would you like to define the technology stack? I can recommend a proven stack for your goal or you can hand-pick each component."
        • type: "choice"
        • multiSelect: false
        • options:
          • Label: "Interactive", Description: "I'll ask you to select the language, frameworks, and database."
          • Label: "Autogenerate", Description: "I'll recommend a standard tech stack based on your project goal."
    • FOR BROWNFIELD PROJECTS:
      • CRITICAL WARNING: Your goal is to document the project's existing tech stack, not to propose changes.
      • State the Inferred Stack: Based on the code analysis, you MUST state the technology stack that you have inferred in the chat.
      • Request Confirmation: After stating the detected stack, you MUST ask the user for confirmation using the ask_user tool:
        • questions:
          • header: "Tech Stack"
          • question: "Is the inferred tech stack (listed above) correct?"
          • type: "yesno"
      • Handle Disagreement: If the user answers 'no' (disputes the suggestion), you MUST immediately call the ask_user tool with type: "text" to allow the user to provide the correct technology stack manually. Once provided, proceed to draft the document using the user's input.
  3. Gather Information (Greenfield Interactive Only):

    • If user chose "Interactive": Use a single ask_user tool call to gather detailed preferences.
      • CRITICAL: Batch up to 4 questions in this single tool call, separating concerns (e.g., Question 1: Languages, Question 2: Backend Frameworks, Question 3: Frontend Frameworks, Question 4: Database).
      • SUGGESTIONS: For each question, generate 3-4 high-quality suggested answers.
      • Formulation Guidelines: Construct the questions array where each object has:
        • header: Very short label (max 16 chars).
        • type: "choice"
        • multiSelect: Set to true (Additive) to allow hybrid stacks.
        • options: Provide descriptive options with both label and description. Use the label field to explain why or where a technology fits (e.g., "Typescript - Ideal for Angular UI"). Ensure the options are coherent when combined.
        • Note: Do NOT include an "Autogenerate" option here.
      • Interaction Flow: Wait for the user's response, then proceed to the next step.
  4. Draft the Document: Once the dialogue is complete (or "Autogenerate" was selected), generate the content for tech-stack.md.

    • If user chose "Autogenerate": Use your best judgment to infer a standard, high-quality stack suitable for the project goal.
    • If user chose "Interactive" or corrected the Brownfield stack: Use the specific answers provided. The source of truth is only the user's selected answer(s).
  5. User Confirmation Loop:

    • Ask for Approval: Use the ask_user tool to request confirmation. You MUST embed the drafted content directly into the question field so the user can review it in context.
      • questions:
        • header: "Review Draft"

        • question: Please review the drafted Tech Stack below. What would you like to do next?


        • type: "choice"

        • multiSelect: false

        • options:

          • Label: "Approve", Description: "The tech stack looks good, proceed to the next step."
          • Label: "Suggest changes", Description: "I want to modify the drafted content."
  6. Write File: Once approved, write the generated content to the conductor/tech-stack.md file.

  7. Continue: Immediately proceed to the next section.

2.4 Select Guides (Interactive)

  1. Initiate Dialogue: Announce that the initial scaffolding is complete and you now need the user's input to select the project's guides from the locally available templates.

  2. Select Code Style Guides:

    • List the available style guides by using the run_shell_command tool to execute ls .agents/skills/conductor-setup/templates/code_styleguides/. CRITICAL: You MUST use run_shell_command for this step. Do NOT use the list_directory tool, as the templates directory resides outside of your allowed workspace and the call will fail.

    • FOR GREENFIELD PROJECTS:

      • Recommendation: Based on the Tech Stack defined in the previous step, recommend the most appropriate style guide(s) (e.g., "python.md" for a Python project) and explain why.
      • Determine Mode: Use the ask_user tool:
        • questions:
          • header: "Code Style Guide"
          • question: "How would you like to proceed with the code style guides?"
          • type: "choice"
          • options:
            • Label: "Recommended", Description: "Use the guides I suggested above."
            • Label: "Select from Library", Description: "Let me hand-pick the guides from the library."
      • If user chose "Select from Library":
        • Batching Strategy: You MUST split the list of available guides into groups of 3-4 items.
        • Action: Announce "I'll present the available guides in groups. Please select all that apply." Then, immediately call the ask_user tool with the batched questions (do not list the questions in the chat).
        • Single Tool Call: Create one ask_user call containing a questions array with one question per group.
        • Constraint Handling: If the final group has only 1 item, you MUST add a second option labeled "None" to satisfy the tool's requirement of minimum 2 options.
        • Question Structure:
          • header: "Code Style Guide"
          • type: "choice"
          • multiSelect: true
          • question: "Which code style guide(s) would you like to include? (Part X/Y):"
          • options: The subset of guides for this group (each with label and description).
    • FOR BROWNFIELD PROJECTS:

      • Announce Selection: Inform the user: "Based on the inferred tech stack, I will copy the following code style guides: ."
      • Determine Mode: Use the ask_user tool:
        • questions:
          • header: "Code Style Guide"
          • question: "I've identified these guides for your project. Would you like to proceed or add more?"
          • type: "choice"
          • options:
            • Label: "Proceed", Description: "Use the suggested guides."
            • Label: "Add More", Description: "Select additional guides from the library."
      • If user chose "Add More":
        • Action: Announce "I'll present the additional guides. Please select all that apply." Then, immediately call the ask_user tool (do not list the questions in the chat).
        • Method: Use a single ask_user tool call. Dynamically split the available guides into batches of 4 options max. Create one multiSelect: true question for each batch.
  3. Action: Construct and execute a command to create the directory and copy all selected files. For example: mkdir -p conductor/code_styleguides && cp .agents/skills/conductor-setup/templates/code_styleguides/python.md .agents/skills/conductor-setup/templates/code_styleguides/javascript.md conductor/code_styleguides/

  4. Continue: Immediately proceed to the next section.

2.5 Select Workflow (Interactive)

  1. Copy Initial Workflow:

    • Copy .agents/skills/conductor-setup/templates/workflow.md to conductor/workflow.md.
  2. Determine Mode: Use the ask_user tool to let the user choose their preferred workflow.

    • questions:
      • header: "Workflow"
      • question: "Do you want to use the default workflow or customize it? The default includes >80% test coverage and per-task commits."
      • type: "choice"
      • options:
        • Label: "Default", Description: "Use the standard Conductor workflow."
        • Label: "Customize", Description: "I want to adjust coverage requirements and commit frequency."
  3. Gather Information (Conditional):

    • If user chose "Default": Skip this step and proceed directly to Step 5 (Action).

    • If user chose "Customize": a. Initial Batch: Use a single ask_user tool call to gather primary customizations: - questions: - header: "Coverage" - question: "The default required test code coverage is >80%. What is your preferred percentage?" (type: "text", placeholder: "e.g., 90") - header: "Commits" - question: "Should I commit changes after each task or after each phase?" - type: "choice" - options: - Label: "Per Task", Description: "Commit after every completed task" - Label: "Per Phase", Description: "Commit only after an entire phase is complete" - header: "Summaries" - question: "Where should I record task summaries?" - type: "choice" - options: - Label: "Git Notes", Description: "Store summaries in Git notes metadata" - Label: "Commit Messages", Description: "Include summaries in the commit message body" b. Final Tweak (Second Batch): Once the first batch is answered, immediately use a second ask_user tool call to show the result and allow for any additional tweaks: - questions: - header: "Workflow" - type: "text" - question: Based on your answers, I will configure the workflow with: - Test Coverage: <User Answer 1>% - Commit Frequency: <User Answer 2> - Summary Storage: <User Answer 3>

              Is there anything else you'd like to change or add to the workflow? (Leave blank to finish or type your additional requirements).
  4. Action: Update conductor/workflow.md based on all user answers from both steps.

2.6 Finalization

  1. Generate Index File:

    • Create conductor/index.md with the following content:
      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/)
      
      ## Management
      - [Tracks Registry](./tracks.md)
      - [Tracks Directory](./tracks/)
    • Announce: "Created conductor/index.md to serve as the project context index."
  2. Summarize Actions: Present a summary of all actions taken during the initial setup, including:

    • The guide files that were copied.
    • The workflow file that was copied.
  3. Transition to initial plan and track generation: Announce that the initial setup is complete and you will now proceed to define the first track for the project.


3.0 INITIAL PLAN AND TRACK GENERATION

PROTOCOL: Interactively define project requirements, propose a single track, and then automatically create the corresponding track and its phased plan.

Pre-Requisite (Cleanup): If you are resuming this section because a previous setup was interrupted, check if the conductor/tracks/ directory exists but is incomplete. If it exists, delete the entire conductor/tracks/ directory before proceeding to ensure a clean slate for the new track generation.

3.1 Generate Product Requirements (Interactive)(For greenfield projects only)

  1. Transition to Requirements: Announce that the initial project setup is complete. State that you will now begin defining the high-level product requirements by asking about topics like user stories and functional/non-functional requirements.

  2. Analyze Context: Read and analyze the content of conductor/product.md to understand the project's core concept.

  3. Determine Mode: Use the ask_user tool to let the user choose their preferred workflow.

    • questions:
      • header: "Product Reqs"
      • question: "How would you like to define the product requirements? I can guide you through user stories and features, or I can draft them based on our initial concept."
      • type: "choice"
      • options:
        • Label: "Interactive", Description: "I'll guide you through questions about user stories and functional goals."
        • Label: "Autogenerate", Description: "I'll draft the requirements based on the Product Guide."
  4. Gather Information (Conditional):

    • If user chose "Autogenerate": Skip this step and proceed directly to Step 6 (Drafting Logic).
    • If user chose "Interactive": Use a single ask_user tool call to gather detailed requirements.
      • CRITICAL: Batch up to 4 questions in this single tool call (e.g., User Stories, Key Features, Constraints, Non-functional Requirements).
      • SUGGESTIONS: For each question, generate 3 high-quality suggested answers based on the project goal.
      • Formulation Guidelines: Use "choice" type. Set multiSelect to true for additive answers. Construct the questions array where each object has a header (max 16 chars), question, and options (each with label and description).
      • Note: Do NOT include an "Autogenerate" option here.
      • Interaction Flow: Wait for the user's response, then proceed to the next step.
  5. Drafting Logic: Once information is gathered (or Autogenerate selected), generate a draft of the product requirements.

    • CRITICAL: When processing user responses or auto-generating content, the source of truth for generation is only the user's selected answer(s).
  6. User Confirmation Loop:

    • Announce: Briefly state that the requirements draft is ready. Do NOT repeat the request to "review" or "approve" in the chat.
    • Ask for Approval: Use the ask_user tool to request confirmation. You MUST embed the drafted requirements directly into the question field so the user can review them.
      • questions:
        • header: "Review"

        • question: Please review the drafted Product Requirements below. What would you like to do next?


        • type: "choice"

        • multiSelect: false

        • options:

          • Label: "Approve", Description: "The requirements look good, proceed to the next step."
          • Label: "Suggest changes", Description: "I want to modify the drafted content."
  7. Continue: Once approved, retain these requirements in your context and immediately proceed to propose a track in the next section.

3.2 Propose a Single Initial Track (Automated + Approval)

  1. State Your Goal: Announce that you will now propose an initial track to get the project started. Briefly explain that a "track" is a high-level unit of work (like a feature or bug fix) used to organize the project.
  2. Generate Track Title: Analyze the project context (product.md, tech-stack.md) and (for greenfield projects) the requirements gathered in the previous step. Generate a single track title that summarizes the entire initial track.
    • Greenfield: Focus on the MVP core (e.g., "Build core tip calculator functionality").
    • Brownfield: Focus on maintenance or targeted enhancements (e.g., "Implement user authentication flow").
  3. Confirm Proposal: Use the ask_user tool to validate the proposal:
    • questions:
      • header: "Confirm Track"
      • type: "choice"
      • multiSelect: false
      • question: "To get the project started, I suggest the following track: ''. Do you want to proceed with this track?"
      • options:
        • Label: "Yes", Description: "Proceed with ''."
        • Label: "Suggest changes", Description: "I want to define a different track."
  4. Action:
    • If user chose "Yes": Use the suggested '' as the track description.
    • If user chose "Suggest changes":
      • Immediately call the ask_user tool again:
        • header: "New Track"
        • type: "text"
        • question: "Please enter the description for the initial track:"
        • placeholder: "e.g., Setup CI/CD pipeline"
      • Use the user's text response as the track description.
    • Proceed to Section 3.3 with the determined track description.

3.3 Convert the Initial Track into Artifacts (Automated)

  1. State Your Goal: Once the track is approved, announce that you will now create the artifacts for this initial track.

  2. Initialize Tracks File: Create the conductor/tracks.md file with the initial header and the first track:

    markdown
    # Project Tracks
    
    This file tracks all major tracks for the project. Each track has its own detailed plan in its respective folder.
    
    ---
    
    - [ ] **Track: <Track Description>**
      *Link: [./<Tracks Directory Name>/<track_id>/](./<Tracks Directory Name>/<track_id>/)*

    (Replace <Tracks Directory Name> with the actual name of the tracks folder resolved via the protocol.)

  3. Generate Track Artifacts: a. Define Track: The approved title is the track description. b. Generate Track-Specific Spec & Plan: i. Automatically generate a detailed spec.md for this track. ii. Automatically generate a plan.md for this track. - CRITICAL: The structure of the tasks must adhere to the principles outlined in the workflow file at conductor/workflow.md. For example, if the workflow specificies Test-Driven Development, each feature task must be broken down into a "Write Tests" sub-task followed by an "Implement Feature" sub-task. - CRITICAL: Include status markers [ ] for EVERY task and sub-task. The format must be: - Parent Task: - [ ] Task: ... - Sub-task: - [ ] ... - CRITICAL: Inject Phase Completion Tasks. You MUST read the conductor/workflow.md file to determine if a "Phase Completion Verification and Checkpointing Protocol" is defined. If this protocol exists, then for each Phase that you generate in plan.md, you MUST append a final meta-task to that phase. The format for this meta-task is: - [ ] Task: Conductor - User Manual Verification '<Phase Name>' (Protocol in workflow.md). You MUST replace <Phase Name> with the actual name of the phase. c. Create Track Artifacts: i. Generate and Store Track ID: Create a unique Track ID from the track description using format shortname_YYYYMMDD and store it. You MUST use this exact same ID for all subsequent steps for this track. ii. Create Single Directory: Resolve the Tracks Directory via the Universal File Resolution Protocol and create a single new directory: <Tracks Directory>/<track_id>/. iii. Create metadata.json: In the new directory, create a metadata.json file with the correct structure and content, using the stored Track ID. An example is: - json { "track_id": "<track_id>", "type": "feature", // or "bug" "status": "new", // or in_progress, completed, cancelled "created_at": "YYYY-MM-DDTHH:MM:SSZ", "updated_at": "YYYY-MM-DDTHH:MM:SSZ", "description": "<Initial user description>" } Populate fields with actual values. Use the current timestamp. iv. Write Spec and Plan Files: In the exact same directory, write the generated spec.md and plan.md files. v. Write Index File: In the exact same directory, write index.md with content: ```markdown # Track <track_id> Context

        - [Specification](./spec.md)
        - [Implementation Plan](./plan.md)
        - [Metadata](./metadata.json)
        ```
        *(If you arrived here directly from the Audit because you are patching a missing index, write this file using the existing folder's track_id and then proceed to step d.)*

    d. Exit Plan Mode: Call the exit_plan_mode tool with the path: <Tracks Directory>/<track_id>/index.md.

    e. Announce Progress: Announce that the track for "" has been created.

3.4 Final Announcement

  1. Announce Completion: After the track has been created, announce that the project setup and initial track generation are complete.
  2. Save Conductor Files: Add and commit all files with the commit message conductor(setup): Add conductor setup files.
  3. Next Steps: Inform the user that they can now begin work by running /conductor:implement.

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

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/hlhr202/Conductor-for-all/tree/main/.agents/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 hlhr202 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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