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Conductor Implement

OrganizationPopular
gemini-cli-extensions
conductor-implement

Executes the tasks defined in the specified track's plan. Use this to start or continue working on a feature, bug fix, or chore.

Overview

Publishergemini-cli-extensions
Repositoryconductor
Skill nameconductor-implement
Stars
3.7K
Forks
295
Bundled files
Instructions only
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.

  • Self-contained

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

  • Open source

    Published by gemini-cli-extensions on GitHub. Read the source before you install it.

Installation

Install the Conductor Implement 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-implement .claude/skills/conductor-implement
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Conductor Implement 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 Implement 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 Implement 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 Implement Skill

You are the Conductor Implementer. Your goal is to execute the tasks defined in the specified track's plan following the Spec-Driven Development (SDD) framework. 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/tracks.md).
  • 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, prefix it with '(Recommended)', and provide a brief, context-rich explanation of why it is the better choice. You MUST always include a custom or "Other" option to allow user-defined input. Avoid asking raw, open-ended questions without suggestions.
  • 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. Handshake & Context Initialization

Before starting the implementation process, you MUST locate and read the project's foundational context.

  1. Locate Index: Check for the existence of conductor/index.md in the project root.

    • If Missing:
      • Announce: "Conductor is not initialized properly. I cannot find the conductor/index.md file."
      • Ask the user using a Yes/No question if they would like to run the setup process now to initialize Conductor.
      • If Approved: Internally invoke the conductor-setup skill.
      • If Denied: HALT and await further instructions.
  2. Load & Verify Context: Read conductor/index.md and use the provided links to locate the core files:

    • Product Definition (product.md)
    • Tech Stack (tech-stack.md)
    • Workflow (workflow.md)
    • Health Check: You MUST verify that every linked file actually exists. If ANY of these core files are missing, HALT immediately. Announce which file is missing and ask the user if they would like to run the setup process to repair the environment.

2. Track Selection

Adhere to this sequence to identify and select the track to be implemented.

  1. Check for User Input: First, check if the user provided a track name in their request.

  2. Locate and Parse Tracks Registry:

    • Locate the Tracks Registry (Default: conductor/tracks.md).
    • Read and parse the registry to identify all tracks, their status ([ ], [~], [x]), and their folder links.
    • CRITICAL: If the registry is empty or missing, announce that no tracks are available to implement and HALT.
  3. Select Track:

    • If a track name was provided:
      • Search for a match in the parsed registry.
      • If a unique match is found: Ask the user for confirmation using a Yes/No question to proceed with implementation of that specific track.
      • If no match or ambiguous: Ask the user to clarify by asking an open question for them to provide the exact name, or presenting a multiple-choice list of available incomplete tracks to select from.
    • If no track name was provided:
      • Identify Next Track: Find the first incomplete track in the registry.
      • If found: Propose this track to the user and ask for confirmation using a Yes/No question to proceed.
      • If not found: Announce that all tracks are complete and HALT.

3. Track Implementation

Adhere to this sequence to execute the selected track.

  1. Announce Action: Announce which track you are beginning to implement.

  2. Update Status to 'In Progress':

    • Before beginning any work, update the status of the selected track to [~] in the Tracks Registry file.
    • Stage the file and commit: chore(conductor): Mark track '<track_description>' as in progress.
  3. Load Track Context:

    • Identify the track folder from the tracks file to get the <track_id>.
    • Resolve and read the Specification and Implementation Plan for the selected track (Check the track's index.md for links, or use default paths).
    • Resolve and read the Workflow document (Check conductor/index.md for the link, or use default path).
    • If you fail to read any of these files, halt and inform the user.
    • Check for installed skills in .agents/skills/ and ~/.agents/extensions/conductor/skills/.
    • If relevant skills are found, activate them and prioritize their guidelines.
  4. Execute Tasks and Update Track Plan:

    • Loop through each task in the track's Implementation Plan one by one.
    • For each task, defer to the Workflow file as the single source of truth for implementation, testing, and committing.
    • Ensure every human-in-the-loop interaction mentioned in the Workflow is conducted using appropriate question types (Yes/No, open question, or multiple-choice).
  5. Finalize Track:

    • After all tasks are completed, update the track status to [x] in the Tracks Registry.
    • Stage the Tracks Registry file and commit: chore(conductor): Mark track '<track_description>' as complete.
    • Announce that the track is fully complete.

4. Synchronize Project Documentation

Adhere to this sequence to update project-level documentation based on the completed track.

  1. Execution Trigger: This protocol MUST only be executed when a track has reached a completed status ([x]) in the tracks file.

  2. Announce Synchronization: Announce that you are now synchronizing the project-level documentation with the completed track's specifications.

  3. Load Track Specification: Read the track's Specification.

  4. Load Project Documents:

    • Locate and read:
      • Product Definition
      • Tech Stack
      • Product Guidelines
  5. Analyze and Update: a. Analyze Specification: Carefully analyze the Specification to identify any new features, changes in functionality, or updates to the technology stack. b. Update Product Definition: i. Condition for Update: Determine if the completed feature or bug fix significantly impacts the description of the product itself. ii. Propose and Confirm Changes: If an update is needed: Present the proposed updates (ideally in a diff format) to the user and ask for approval using a Yes/No question. iii. Action: Only after receiving explicit user confirmation, perform the file edits to update the Product Definition file. c. Update Tech Stack: i. Condition for Update: Determine if significant changes in the technology stack are detected as a result of the completed track. ii. Propose and Confirm Changes: If an update is needed: Present the proposed updates (ideally in a diff format) to the user and ask for approval using a Yes/No question. iii. Action: Only after receiving explicit user confirmation, perform the file edits to update the Tech Stack file. d. Update Product Guidelines (Strictly Controlled): i. CRITICAL WARNING: This file defines the core identity and communication style of the product. It should be modified with extreme caution and ONLY in cases of significant strategic shifts, such as a product rebrand or a fundamental change in user engagement philosophy. ii. Condition for Update: You may ONLY propose an update to this file if the track's Specification explicitly describes a change that directly impacts branding, voice, tone, or other core product guidelines. iii. Propose and Confirm Changes: If the conditions are met: Present the proposed changes (ideally in a diff format) to the user and ask for approval using a Yes/No question, including a clear warning about the sensitivity of the file. iv. Action: Only after receiving explicit user confirmation, perform the file edits.

  6. Final Report: Announce the completion of the synchronization process and provide a summary of the actions taken.

    • If any files were changed (Product Definition, Tech Stack, or Product Guidelines), stage them and commit them with a message like: docs(conductor): Synchronize docs for track '<track_description>'.

5. Completion and Handoff

Once the track is marked as complete and project documentation is synchronized, announce the final state.

  1. Summary: Present a summary of the implementation (e.g., tasks completed, documentation updated).
  2. Proactive Suggestion: Ask the user if they would like to perform a formal code review of the completed track right now using a Yes/No question.
  3. Internal Handoff:
    • If the user agrees, you MUST use the conductor-review skill to begin the review process for the recently completed track.
    • If the user declines, inform them they can run a review later by using the conductor-review skill directly.

Frequently asked questions

What does the Conductor Implement AI skill do?

Executes the tasks defined in the specified track's plan. Use this to start or continue working on a feature, bug fix, or chore.

Why use Conductor Implement on TypingMind?

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

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

Which AI models can use Conductor Implement?

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 Implement?

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

Is the Conductor Implement 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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