Skip to content
All Skills

Track Management

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.

Software Engineering|v1|Updated 7/14/2026|GitHub source
MCP get_skill({ skillId: "track-management-5dd6365d" })

Use this skill with your agent

Create a free account and connect via MCP

Get Started Free
# 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
#broad-capability#engineering#agent-skills#project#management

Related Skills

More skills in Software Engineering

Accessibility Standards

Comprehensive web accessibility standards based on WCAG 2.2 AA, with 38+ anti-patterns, legal enforcement context (EAA, ADA Title II), WAI-ARIA patterns, and framework-specific fixes for modern web frameworks and libraries.

#github-copilot#accessibilityMIT

Accord

Authoring unified specification packages across Business/Development/Design teams via staged elaboration (L0 Vision → L1 Requirements → L2 Team Detail → L3 Acceptance Criteria). No code. Use when authoring cross-team specs, building L0-L3 packages, or aligning Biz/Dev/Design on a single source of truth.

#broad-capability#developmentMIT

Acquire Codebase Knowledge

Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.

#github-copilot#documentationMIT

Acreadiness Assess

Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.

#github-copilot#planningMIT

Acreadiness Generate Instructions

Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running /acreadiness-assess to close gaps in the AI Tooling pillar.

#github-copilot#skillMIT

Acreadiness Policy

Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or wants org-wide standardisation.

#github-copilot#planningMIT