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from tao18
Structured performance-audit methodology: measure, identify bottlenecks, optimize the true hotspot, and verify improvements with benchmarks.
Provides a step-by-step performance audit workflow focused on measurement, identifying real bottlenecks, applying targeted fixes, and proving improvements with before/after benchmarks. It covers common bottlenecks across databases, application code, and frontend bundles, and offers an output template for audit reports.
Use this skill when investigating slow endpoints, high memory usage, unexplained load spikes, or when planning capacity and performance goals. It is ideal for pre-deployment checks, incident triage, and post-optimization verification.
Best used by agents that can read and execute investigation and reporting workflows (generic developer assistants, Claude Code, Copilot-style agents).
TAO Performance Audit claims to provide a structured performance-audit methodology for measuring, identifying bottlenecks, and optimizing hotspots. However, the SKILL.md body could not be fetched (repo is private or deleted), and no bundled scripts were available for testing. The skill has a reasonable description and tags, but without verifiable content, quality and architecture scores are low. Security is slightly above baseline since there's nothing executable to audit — no scripts, no curl|bash — but the inability to verify content is a concern.
Source repo (andretauan/tao) returns 404 — either private or removed. Skill content is entirely unverifiable. Tags and description suggest a legitimate performance audit methodology skill in pt-br, but without body content this cannot be confirmed. Recommend re-audit if content becomes available.
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