What problem does it solve?
This Skill removes the manual overhead of turning scattered product or engineering inputs into a trustworthy execution plan. It helps when you have a rough idea, ticket, thread, or draft and want a production-quality plan that has already been challenged, reviewed, and decision-gated before anyone starts implementation.
Core Features & Use Cases
- End-to-end planning orchestration: Runs refinement, decomposition, challenge, specialist consultation, synthesis, skeptic review, and a proceed-or-iterate gate as one workflow.
- Multi-source input handling: Accepts free text, Jira tickets, bead references, Slack threads, Confluence pages, PRs, and transcripts, then reconciles conflicts with explicit precedence rules.
- Mechanism-bias detection: Detects when a user has prescribed a solution too early and forces the workflow to test whether that mechanism is actually the right one.
- High-confidence planning output: Produces structured work items with dependencies, verification paths, consequence-of-wrong, convergence delta, and open assumptions.
- Use case: When a team has a loosely defined feature request spread across Jira, Slack, and prior notes, use this Skill to produce a converged implementation plan without manually chaining multiple planning and review skills.
Quick Start
Ask the AI to use the converge skill on your rough feature idea, Jira ticket, Slack thread, or draft doc to produce a converged plan with vetted work items and verification paths.
