What problem does it solve? Teams often suspect their application is slow but lack a structured, evidence-based way to find bottlenecks across rendering, bundles, APIs, databases, memory, and runtime behavior. This Skill replaces guesswork with a measured, scored audit that produces Impact Models and a prioritized fix roadmap. ## Core Features & Use Cases - 12-Dimension Analysis: Scores rendering, bundle size, assets, API/network, algorithms, memory, database, caching, framework patterns, Web Vitals, backend runtime, and concurrency. - Evidence-Based Findings: Every HIGH/MEDIUM finding carries an Impact Model with estimated savings, blast radius, effort, and confidence tier, plus a file:line citation. - Stack-Adaptive Profiles: Detects Next.js, React, NestJS, FastAPI, Django, PHP (Yii2/Laravel/Symfony), Prisma, and more, then activates the right dimensions and stack-specific checks. - Use Case: Before a major release, run a full audit to catch an N+1 query in a hot path, a 600 KB bundle, and missing cache headers, then follow the generated quick-wins roadmap to fix them in priority order. ## Quick Start Ask the AI to run a full performance audit on the current project, or scope it with a path, file, or a flag like --frontend, --backend, --db, or --bundle.
