Most process reviews jump from a slow queue to an automation idea. That skips the hard part: establishing what entered the process, where work waited, which variants behave differently, what caused rework, and which controls cannot be removed casually.
Process Improvement builds that decision record. It defines one trigger-to-completion process, separates observed data from reported claims, maps exception and rework paths, reconciles the work-item population, and creates a baseline with explicit windows and denominators. Material issues stay linked to sources, metrics, competing explanations, and falsification tests.
Use it to diagnose invoice approval, customer onboarding, access review, service operations, internal requests, and other recurring professional workflows. The output compares future-state options, shows control and downstream effects, and turns the selected change into a bounded pilot with guardrails, stop conditions, rollback, owners, and verification. Proposed, approved, implemented, and verified changes remain separate.
Version 1.0.0 was reviewed on 2026-07-17 and evaluated through Codex CLI with gpt-5.6-sol in 12 fresh read-only contexts. The candidate scored 100 across three cases, compared with 71.25 for the same agent without the skill and 83.33 for the exact free upstream. The cases covered invoice approval under pressure to remove controls, B2B onboarding with hidden process variants, and a canonical machine-checkable record with blocker precedence. This evaluation measures the supplied cases. It does not prove a real bottleneck, causal improvement, regulatory compliance, cost savings, or a safe live change. The reviewed package SHA-256 is 452079fbed3dec56f04d89d9170c55717006486fb35282a5a7f9c10e566e386e.
The package includes a read-only checker for an optional canonical JSON process record. Passing it confirms structure, references, step links, evidence states, gates, rollout state, and verdict precedence. It cannot inspect source systems, verify source truth, measure the real process, approve a change, or prove that a pilot worked. Maintenance and install support are handled by the platform-operated publisher for this listing.