linear-iterate-on-plan

To refine an OpenSpec proposal, this Skill iteratively validates and fixes completeness, clarity, feasibility, scope, consistency, testability, and parallelizability issues. It automatically applies corrections to proposals, tasks, and spec deltas up to a configurable number of iterations.

Before approving an OpenSpec proposal, you should check for completeness, clarity, feasibility, scope, consistency, testability, and parallelizability issues. This Skill automatically scans proposal documents and spec deltas to detect and resolve these critical quality problems.

Yes, you can automate git commits when iterating on spec deltas. This Skill executes validation, applies fixes, and performs automated git commits during each iteration loop to track proposal refinements automatically.

To run parallel analysis on proposal documents, this Skill can launch multiple exploration agents to assess different quality dimensions concurrently. This optional feature accelerates the detection of issues across various proposal aspects.

Yes, this proposal validation method supports optional coordination hooks for memory and handoff. It can integrate with a coordinator to utilize memory, handoff, and guardrails during the iterative refinement process.

The main limitation of automated proposal refinement is the configurable iteration limit, meaning it stops after a set number of loops. Complex issues might require manual review if the automated iterations do not fully resolve feasibility or scope problems.