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New Track

Organization
MadAppGang
new-track

Create development track with spec and hierarchical plan through interactive Q&A

Overview

PublisherMadAppGang
Repositoryclaude-code
Skill namenew-track
Stars
281
Forks
26
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 MadAppGang on GitHub. Read the source before you install it.

Installation

Install the 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/MadAppGang/claude-code.git /tmp/claude-code
mkdir -p .claude/skills
cp -r /tmp/claude-code/plugins/conductor/skills/new-track .claude/skills/new-track
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 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 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 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.

plugin: conductor updated: 2026-01-20

<conductor_required>
  FIRST check if conductor/ directory exists with required files.
  If not, HALT and guide user to run conductor:setup first.
</conductor_required>

<context_awareness>
  ALWAYS read these files before planning:
  - conductor/product.md (understand project goals)
  - conductor/tech-stack.md (know technical constraints)
  - conductor/workflow.md (follow team processes)
</context_awareness>

<track_id_format>
  Format: {shortname}_{YYYYMMDD}
  Examples:
  - feature_auth_20260105
  - bugfix_login_20260105
  - refactor_api_20260105
</track_id_format>

</critical_constraints>

<core_principles> Always create spec.md BEFORE plan.md. Spec defines WHAT, Plan defines HOW.

<principle name="Hierarchical Plans" priority="critical">
  Plans must have:
  - 2-6 Phases (major milestones)
  - 2-5 Tasks per phase
  - 0-3 Subtasks per task (optional)
</principle>

<principle name="Actionable Tasks" priority="high">
  Each task must be:
  - Specific (clear outcome)
  - Estimable (roughly 1-4 hours)
  - Independent (minimal dependencies)
</principle>

</core_principles>

<phase number="2" name="Context Loading">
  <step>Read conductor/product.md</step>
  <step>Read conductor/tech-stack.md</step>
  <step>Read conductor/tracks.md for existing tracks</step>
</phase>

<phase number="3" name="Track Type">
  <step>Ask: What type of work? [Feature, Bugfix, Refactor, Task, Other]</step>
  <step>Ask: Short name for this track? (3-10 chars, lowercase)</step>
  <step>Generate track ID: {type}_{shortname}_{YYYYMMDD}</step>
</phase>

<phase number="4" name="Spec Generation">
  <step>Ask: What is the goal of this work? (1-2 sentences)</step>
  <step>Ask: What are the acceptance criteria? (list 3-5)</step>
  <step>Ask: Any technical constraints or dependencies?</step>
  <step>Ask: Any edge cases or error scenarios to handle?</step>
  <step>Generate conductor/tracks/{track_id}/spec.md</step>
</phase>

<phase number="5" name="Plan Generation">
  <step>Based on spec, propose 2-6 phases</step>
  <step>Ask user to confirm or modify phases</step>
  <step>For each phase, generate 2-5 tasks</step>
  <step>Add subtasks where complexity warrants</step>
  <step>Generate conductor/tracks/{track_id}/plan.md</step>
</phase>

<phase number="6" name="Finalization">
  <step>Create conductor/tracks/{track_id}/metadata.json</step>
  <step>Update conductor/tracks.md with new track</step>
  <step>Present summary to user</step>
</phase>
**Bugfix:** Fix existing issue
- Smaller scope, 2-3 phases typical
- Includes reproduction and verification phases

**Refactor:** Code improvement
- Medium scope, 3-4 phases typical
- Includes before/after comparison phase

**Task:** General work item
- Variable scope
- Flexible structure

</track_types>

<plan_structure>

markdown
# Plan: {Track Title}

Track ID: {track_id}
Type: {Feature/Bugfix/Refactor/Task}
Created: {YYYY-MM-DD}
Status: Active

## Phase 1: {Phase Name}
- [ ] 1.1 {Task description}
- [ ] 1.2 {Task description}
  - [ ] 1.2.1 {Subtask}
  - [ ] 1.2.2 {Subtask}
- [ ] 1.3 {Task description}

## Phase 2: {Phase Name}
- [ ] 2.1 {Task description}
- [ ] 2.2 {Task description}

## Phase 3: Testing & Documentation
- [ ] 3.1 Write unit tests
- [ ] 3.2 Update documentation

</plan_structure>

<spec_template>

markdown
# Spec: {Track Title}

Track ID: {track_id}
Type: {Feature/Bugfix/Refactor/Task}
Created: {YYYY-MM-DD}

## Goal
{1-2 sentence description of what this achieves}

## Background
{Context from product.md relevant to this work}

## Acceptance Criteria
- [ ] {Criterion 1}
- [ ] {Criterion 2}
- [ ] {Criterion 3}

## Technical Constraints
- {Constraint 1 from tech-stack.md}
- {Constraint 2}

## Edge Cases
- {Edge case 1}
- {Edge case 2}

## Out of Scope
- {What this track does NOT include}

</spec_template>

Track ID: {track_id} Type: {type}

Files Created:

  • conductor/tracks/{track_id}/spec.md
  • conductor/tracks/{track_id}/plan.md
  • conductor/tracks/{track_id}/metadata.json

Plan Summary:

  • Phase 1: {name} ({N} tasks)
  • Phase 2: {name} ({N} tasks)
  • Phase 3: {name} ({N} tasks)
  • Total: {X} phases, {Y} tasks

Next Steps:

  1. Review spec.md and plan.md
  2. Adjust if needed
  3. Run conductor:implement to start executing </completion_template>

Frequently asked questions

What does the New Track AI skill do?

Create development track with spec and hierarchical plan through interactive Q&A

Why use New Track on TypingMind?

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

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

Which AI models can use 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 New Track?

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

Is the New Track AI skill free?

Yes. It is published on GitHub by MadAppGang 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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