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track-management

A workflow management skill for Conductor tracks and project documentation.

Install

mkdir -p .claude/skills/track-management && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/4027" && unzip -o skill.zip -d .claude/skills/track-management && rm skill.zip

Installs to .claude/skills/track-management

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Use this skill when creating, managing, or working with Conductor tracks - the logical work units for features, bugs, and refactors. Applies to spec.md, plan.md, and track lifecycle operations.
193 chars✓ has a “when” trigger
Beginner

Key capabilities

  • Create feature, bug, and refactor tracks
  • Manage track lifecycle from creation to completion
  • Maintain spec.md and plan.md documentation
  • Update track status markers and metadata
  • Register tracks in tracks.md

How it works

The skill organizes development into logical work units by enforcing spec review, planning, and phase-based implementation. It uses status markers and metadata to track progress through the lifecycle.

Inputs & outputs

You give it
Logical work unit definition
You get back
Organized track lifecycle documentation

When to use track-management

  • Start a new feature track
  • Update track plan.md
  • Mark task phase as complete

About this skill

Track Management

Guide for creating, managing, and completing Conductor tracks - the logical work units that organize features, bugs, and refactors through specification, planning, and implementation phases.

When to Use This Skill

  • Creating new feature, bug, or refactor tracks
  • Writing or reviewing spec.md files
  • Creating or updating plan.md files
  • Managing track lifecycle from creation to completion
  • Understanding track status markers and conventions
  • Working with the tracks.md registry
  • Interpreting or updating track metadata

Detailed patterns and worked examples

Detailed pattern documentation lives in references/details.md. Read that file when the navigation tier above is insufficient.

Best Practices

  1. One track, one concern: Keep tracks focused on a single logical change
  2. Small phases: Break work into phases of 3-5 tasks maximum
  3. Verification after phases: Always include verification tasks
  4. Update markers immediately: Mark task status as you work
  5. Record SHAs: Always note commit SHAs for completed tasks
  6. Review specs before planning: Ensure spec is complete before creating plan
  7. Link dependencies: Explicitly note track dependencies
  8. Archive, don't delete: Preserve completed tracks for reference
  9. Size appropriately: Keep tracks between 1-5 days of work
  10. Clear acceptance criteria: Every requirement must be testable

When not to use it

  • Managing multiple concerns within a single track
  • Creating tasks that exceed 5 days of work
  • Deleting completed tracks instead of archiving

Limitations

  • Tracks are limited to 1-5 days of work
  • Phases are restricted to a maximum of 5 tasks

How it compares

Unlike generic project management, this skill enforces a strict one-concern-per-track policy and requires explicit verification tasks for every phase.

Compared to similar skills

track-management side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
track-management (this skill)12moNo flagsBeginner
pmbok-project-management389moNo flagsIntermediate
project-planner329moReviewIntermediate
spec-kit-workflow118moNo flagsIntermediate

Try saying

Example prompts that trigger this skill in your AI assistant.

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