optflow

# Optflow ## Overview Use this skill to discover repository optimization opportunities and execute selected optimizations end to end: - Discover optimization points first (performance, reliability, maintainability, security, cost, DX). - Prioritize by impact/effort/risk. - Execute in strict sequence with validation and explicit commit policy. - Add BDD behavior specs when requested or when requirements are ambiguous. ## When to Activate Trigger this skill when the user asks for one or more of: - Ask to find optimization opportunities in a repository/library. - Ask for optimization roadmap + implementation. - Require test-first optimization delivery and commit (final or per step). - Require behavior-driven delivery (BDD) or acceptance scenarios. ## Red Flags - Optimization begins before a repository scan identifies measurable evidence. - A change claims performance, reliability, security, or DX gain without a before/after check. - Low-confidence findings are batched with high-confidence fixes in one implementation step. ## Checklist - [ ] Inventory optimization candidates before selecting work. - [ ] Prioritize by impact, effort, risk, and confidence. - [ ] Verify each selected optimization with the smallest command that proves the claimed gain. ## Delivery Selection Use Optflow when the user asks for optimization discovery or implementation. Keep one bounded optimization set per session and require evidence for every selected finding. Clear fixes execute directly. ...