What are Conductor tracks and what do they organize?

Conductor tracks are logical work units that organize features, bugs, and refactors through specification, planning, and implementation phases.

What files does Track Management help you create and manage?

Track Management covers writing or reviewing spec.md files and creating or updating plan.md files, as well as working with the tracks.md registry.

When should I use the Track Management skill?

Use this skill when creating new feature, bug, or refactor tracks, writing or reviewing spec.md files, managing track lifecycle, understanding track status markers and conventions, or updating track metadata.

What does Track Management help clarify and provide?

The skill clarifies goals, constraints, and required inputs, applies relevant best practices and validates outcomes, and provides actionable steps and verification.

Skill

Manage Conductor Tracks for Development Lifecycle

Name: Manage Conductor Tracks for Development Lifecycle
Availability: OnlineOnly
Author: Antigravity

Manage Conductor tracks: spec.md and plan.md structure, status markers, lifecycle, dependencies, and sizing.

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Spark score

out of 100

Updated 25 days ago

Source checked Oct 13, 2026

Version 19.5.0

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Why it matters

Streamline your software development by effectively creating, managing, and completing Conductor tracks. This skill guides you through the entire lifecycle of features, bugs, and refactors, from specification to implementation.

Outcomes

What it gets done

Create and manage feature, bug, or refactor tracks.

Write and review spec.md and plan.md files.

Track and update the status of development tasks.

Understand and utilize the tracks.md registry.

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-track-management | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

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Overview

Conductor's track lifecycle and file formats - spec.md, plan.md, tracks.md, and metadata.json - covering status markers, dependencies, and track-sizing guidelines. Use when creating or managing Conductor tracks, writing spec.md or plan.md, or handling track lifecycle and dependencies.

What it does

Defines Conductor's track concept - a logical work unit with a unique ID ({shortname}_{YYYYMMDD}), a spec.md, a phased plan.md, and metadata.json - across four track types (feature, bug, chore, refactor) and three lifecycle stages: creation (interactive requirements gathering, generating spec.md with functional and non-functional requirements and acceptance criteria, generating a phased plan.md with verification tasks, and registering the track in tracks.md with a directory and metadata.json), implementation (executing tasks in order via the TDD workflow, updating plan.md status markers and recording commit SHAs, and completing phase verification with checkpoint approval), and completion (syncing product.md and tech-stack.md, verifying all acceptance criteria, and marking the track completed or archived in tracks.md). Documents the exact file formats for spec.md (Overview, Functional and Non-Functional Requirements, Acceptance Criteria, Scope, Dependencies, Risks and Mitigations, Open Questions), plan.md (per-phase Tasks and Verification sections plus a Checkpoints table), tracks.md (Active, Completed, and Archived tables), and metadata.json (status, priority, phase and task counts, checkpoints, dependencies, tags). Defines the five status-marker conventions - pending, in progress, complete with SHA, skipped, and blocked - how to classify and document hard, soft, and external dependencies, track-sizing guidelines (right-sized: 1-5 days, 2-4 phases, 8-20 tasks; too large: split it; too small: fold it into existing work), specification and plan quality checklists, and three common track patterns: feature (foundation, core logic, integration), bug fix (reproduction, fix, verification), and refactor (preparation, refactoring, cleanup).

When to use - and when NOT to

Use it when creating new feature, bug, or refactor tracks, writing or reviewing spec.md or plan.md files, managing track lifecycle from creation to completion, interpreting status markers, working with the tracks.md registry, or updating track metadata. Skip it for anything unrelated to track management or outside this scope.

Inputs and outputs

Input is a piece of work to organize - a feature, bug fix, chore, or refactor; output is the track's file set (spec.md, plan.md, a tracks.md entry, and metadata.json) following the documented structure, plus the quality checklists used to validate the spec and plan before implementation starts.

Integrations

Built around Conductor's slash commands (/conductor:new-track for creation, /conductor:revert for reverting a track, phase, or task) and its file-based artifacts (spec.md, plan.md, tracks.md, metadata.json, product.md, tech-stack.md). Task execution hands off to Conductor's TDD workflow for the actual implementation loop.

Who it's for

Teams and agents using Conductor to organize feature, bug, and refactor work who need the concrete file formats, status conventions, and sizing guidance for tracks rather than an ad hoc project-management approach.

FAQ

Common questions

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