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Conductor New Track

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rmyndharis
conductor-new-track

Create a new track with specification and phased implementation plan

Overview

Publisherrmyndharis
Repositoryantigravity-skills
Skill nameconductor-new-track
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 New Track 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-new-track .claude/skills/conductor-new-track
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Conductor New Track 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 New Track 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 New Track 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.

New Track

Create a new track (feature, bug fix, chore, or refactor) with a detailed specification and phased implementation plan.

Use this skill when

  • Working on new track tasks or workflows
  • Needing guidance, best practices, or checklists for new track

Do not use this skill when

  • The task is unrelated to new track
  • 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. Verify Conductor is initialized:

    • Check conductor/product.md exists
    • Check conductor/tech-stack.md exists
    • Check conductor/workflow.md exists
    • If missing: Display error and suggest running /conductor:setup first
  2. Load context files:

    • Read conductor/product.md for product context
    • Read conductor/tech-stack.md for technical context
    • Read conductor/workflow.md for TDD/commit preferences

Track Classification

Determine track type based on description or ask user:

What type of track is this?

1. Feature - New functionality
2. Bug - Fix for existing issue
3. Chore - Maintenance, dependencies, config
4. Refactor - Code improvement without behavior change

Interactive Specification Gathering

CRITICAL RULES:

  • Ask ONE question per turn
  • Wait for user response before proceeding
  • Tailor questions based on track type
  • Maximum 6 questions total

For Feature Tracks

Q1: Feature Summary

Describe the feature in 1-2 sentences.
[If argument provided, confirm: "You want to: {argument}. Is this correct?"]

Q2: User Story

Who benefits and how?

Format: As a [user type], I want to [action] so that [benefit].

Q3: Acceptance Criteria

What must be true for this feature to be complete?

List 3-5 acceptance criteria (one per line):

Q4: Dependencies

Does this depend on any existing code, APIs, or other tracks?

1. No dependencies
2. Depends on existing code (specify)
3. Depends on incomplete track (specify)

Q5: Scope Boundaries

What is explicitly OUT of scope for this track?
(Helps prevent scope creep)

Q6: Technical Considerations (optional)

Any specific technical approach or constraints?
(Press enter to skip)

For Bug Tracks

Q1: Bug Summary

What is broken?
[If argument provided, confirm]

Q2: Steps to Reproduce

How can this bug be reproduced?
List steps:

Q3: Expected vs Actual Behavior

What should happen vs what actually happens?

Q4: Affected Areas

What parts of the system are affected?

Q5: Root Cause Hypothesis (optional)

Any hypothesis about the cause?
(Press enter to skip)

For Chore/Refactor Tracks

Q1: Task Summary

What needs to be done?
[If argument provided, confirm]

Q2: Motivation

Why is this work needed?

Q3: Success Criteria

How will we know this is complete?

Q4: Risk Assessment

What could go wrong? Any risky changes?

Track ID Generation

Generate track ID in format: {shortname}_{YYYYMMDD}

  • Extract shortname from feature/bug summary (2-3 words, lowercase, hyphenated)
  • Use current date
  • Example: user-auth_20250115, nav-bug_20250115

Validate uniqueness:

  • Check conductor/tracks.md for existing IDs
  • If collision, append counter: user-auth_20250115_2

Specification Generation

Create conductor/tracks/{trackId}/spec.md:

markdown
# Specification: {Track Title}

**Track ID:** {trackId}
**Type:** {Feature|Bug|Chore|Refactor}
**Created:** {YYYY-MM-DD}
**Status:** Draft

## Summary

{1-2 sentence summary}

## Context

{Product context from product.md relevant to this track}

## User Story (for features)

As a {user}, I want to {action} so that {benefit}.

## Problem Description (for bugs)

{Bug description, steps to reproduce}

## Acceptance Criteria

- [ ] {Criterion 1}
- [ ] {Criterion 2}
- [ ] {Criterion 3}

## Dependencies

{List dependencies or "None"}

## Out of Scope

{Explicit exclusions}

## Technical Notes

{Technical considerations or "None specified"}

---

_Generated by Conductor. Review and edit as needed._

User Review of Spec

Display the generated spec and ask:

Here is the specification I've generated:

{spec content}

Is this specification correct?
1. Yes, proceed to plan generation
2. No, let me edit (opens for inline edits)
3. Start over with different inputs

Plan Generation

After spec approval, generate conductor/tracks/{trackId}/plan.md:

Plan Structure

markdown
# Implementation Plan: {Track Title}

**Track ID:** {trackId}
**Spec:** [spec.md](./spec.md)
**Created:** {YYYY-MM-DD}
**Status:** [ ] Not Started

## Overview

{Brief summary of implementation approach}

## Phase 1: {Phase Name}

{Phase description}

### Tasks

- [ ] Task 1.1: {Description}
- [ ] Task 1.2: {Description}
- [ ] Task 1.3: {Description}

### Verification

- [ ] {Verification step for phase 1}

## Phase 2: {Phase Name}

{Phase description}

### Tasks

- [ ] Task 2.1: {Description}
- [ ] Task 2.2: {Description}

### Verification

- [ ] {Verification step for phase 2}

## Phase 3: {Phase Name} (if needed)

...

## Final Verification

- [ ] All acceptance criteria met
- [ ] Tests passing
- [ ] Documentation updated (if applicable)
- [ ] Ready for review

---

_Generated by Conductor. Tasks will be marked [~] in progress and [x] complete._

Phase Guidelines

  • Group related tasks into logical phases
  • Each phase should be independently verifiable
  • Include verification task after each phase
  • TDD tracks: Include test writing tasks before implementation tasks
  • Typical structure:
    1. Setup/Foundation - Initial scaffolding, interfaces
    2. Core Implementation - Main functionality
    3. Integration - Connect with existing system
    4. Polish - Error handling, edge cases, docs

User Review of Plan

Display the generated plan and ask:

Here is the implementation plan:

{plan content}

Is this plan correct?
1. Yes, create the track
2. No, let me edit (opens for inline edits)
3. Add more phases/tasks
4. Start over

Track Creation

After plan approval:

  1. Create directory structure:

    conductor/tracks/{trackId}/
    ├── spec.md
    ├── plan.md
    ├── metadata.json
    └── index.md
  2. Create metadata.json:

    json
    {
      "id": "{trackId}",
      "title": "{Track Title}",
      "type": "feature|bug|chore|refactor",
      "status": "pending",
      "created": "ISO_TIMESTAMP",
      "updated": "ISO_TIMESTAMP",
      "phases": {
        "total": N,
        "completed": 0
      },
      "tasks": {
        "total": M,
        "completed": 0
      }
    }
  3. Create index.md:

    markdown
    # Track: {Track Title}
    
    **ID:** {trackId}
    **Status:** Pending
    
    ## Documents
    
    - [Specification](./spec.md)
    - [Implementation Plan](./plan.md)
    
    ## Progress
    
    - Phases: 0/{N} complete
    - Tasks: 0/{M} complete
    
    ## Quick Links
    
    - [Back to Tracks](../../tracks.md)
    - [Product Context](../../product.md)
  4. Register in conductor/tracks.md:

    • Add row to tracks table
    • Format: | [ ] | {trackId} | {title} | {created} | {created} |
  5. Update conductor/index.md:

    • Add track to "Active Tracks" section

Completion Message

Track created successfully!

Track ID: {trackId}
Location: conductor/tracks/{trackId}/

Files created:
- spec.md - Requirements specification
- plan.md - Phased implementation plan
- metadata.json - Track metadata
- index.md - Track navigation

Next steps:
1. Review spec.md and plan.md, make any edits
2. Run /conductor:implement {trackId} to start implementation
3. Run /conductor:status to see project progress

Error Handling

  • If directory creation fails: Halt and report, do not register in tracks.md
  • If any file write fails: Clean up partial track, report error
  • If tracks.md update fails: Warn user to manually register track

Frequently asked questions

What does the Conductor New Track AI skill do?

Create a new track with specification and phased implementation plan

Why use Conductor New Track on TypingMind?

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

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

Which AI models can use Conductor New Track?

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 New Track?

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

Is the Conductor New Track 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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