Complete AI TrainingYourJobSkills for your job

Skills / workflow

conductor-new-track

Create a new track with specification and phased implementation plan

Project & Program ManagementOperations & Supply ChainAI & Automation

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.
  • If detailed examples are required, open resources/implementation-playbook.md.

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
  1. 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 Sp

Subscribers only

The full skill, its 1 bundled files and every download is included with every paid Complete AI plan.

Details

Sourcecommunity
License
Risk labelcritical ("critical" means the skill may run commands or touch files — read before use)
FilesSKILL.md
Added2026-02-27

Related skills

acceptance-orchestrator

Use when a coding task should be driven end-to-end from issue intake through implementation, review, deployment, and acceptance verification with minimal human re-intervention.

address-github-comments

Use when you need to address review or issue comments on an open GitHub Pull Request using the gh CLI.

ai-loop

Runs a bounded spec-build-review development loop with explicit scope, stop conditions, and human approval gates for risky or ambiguous work.

airflow-dag-patterns

Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.

antigravity-workflows

Use when asked to ship a SaaS MVP, audit application security, build an AI agent, run browser QA, or design a domain model with multiple skills and verified checkpoints.

ask-questions-if-underspecified

Clarify requirements before implementing. Use when serious doubts arise.