Optimizespec Continue
Continue an OptimizeSpec self-improvement change by creating the next artifact. Use when proposal, design, specs, or tasks need to be created for an OptimizeSpec workflow.
Optimizespec Verify
Verify an OptimizeSpec self-improvement implementation. Use when checking generated skills, artifact completeness, eval runner behavior, ASI quality, direct eval, compare, or GEPA optimize readiness.
Optimizespec Common
Shared OptimizeSpec self-improvement references and templates. Use only as a supporting skill when another OptimizeSpec skill needs workflow, ASI, scorer, runner, or runtime-specific reference material.
Optimizespec New
Start a repo-local OptimizeSpec self-improvement change. Use when the user wants to create evals, optimize an agent with GEPA, define an agent self-improvement loop, or begin an ASI-first evaluation workflow.
Optimizespec Apply
Apply a completed OptimizeSpec self-improvement plan to an agent repository. Use when the user asks to implement eval cases, rollouts, scorers, ASI, direct eval, compare, or GEPA optimization from completed artifacts. Includes a concrete Python Claude Managed Agents reference, while the core contracts are runtime-neutral.