What problem does it solve?
This skill automates the path from a well-scoped request to a draft pull request, reducing the overhead of manually planning, coordinating specialists, managing parallel implementation, and enforcing review gates before code is published.
Core Features & Use Cases
- Context-to-execution pipeline: Accepts a Jira ticket, bead, Slack thread, Confluence draft, PR reference, or free text, enriches context, and converts it into an implementation plan before any coding starts.
- Guardrailed planning and build orchestration: Runs challenge, consult, skeptic, and decision-maker passes to detect weak plans, ambiguous scope, wrong mechanisms, or routing mistakes before launching implementation agents.
- Parallel code delivery with recovery: Creates a shared worktree, dispatches specialized agents by lane, tracks durable execution state, retries failed steps, runs review fan-out, and produces a draft PR.
- Use cases: Ideal for engineering teams that want hands-off implementation of clear tickets, safe conversion of prior converge output into code, or disciplined multi-agent execution with explicit human approval before writing commits.
Quick Start
Ask the AI to use the launch skill on a specific Jira ticket or short implementation description and approve the presented launch plan if it looks correct.