Domains
Forms
Mechanism
Breaks down how the skill works and what it produces, so you can quickly judge whether it fits your scenario and value.
After any AI code generation session (20+ lines), before merging AI-generated PRs, or when code works but feels off / agent claims done without verification.
A targeted audit that surfaces hidden AI debt (missing error handling, orphaned resources, hallucinated packages, silent drift) before merge, reducing production incidents from unverified AI code.
Use Cases
A developer uses an AI agent to build a Node.js API feature (about 200 lines generated). Before opening a PR, they invoke this skill to audit the diff. The skill reveals swallowed catch blocks, an unclosed DB connection, and a hallucinated npm package import. Fixing these prevents runtime outages and supply-chain risks after deployment.
After a weekend vibe-coding sprint, a user feels the Python prototype 'works but something is off'. They run this skill to scan for orphaned temp files, missing edge-case handling for empty inputs, and drift from project conventions. The audit gives a concrete fix list, turning fragile AI code into maintainable code.
Skill Relationships
Dependency relationships read as "the upper tier points to the lower tier." The current Skill sits in the middle tier — above are Skills that depend on it, below are Skills it depends on.
Tier 1 · These Skills Use Me
Tier 2 · Current Skill
Tier 3 · I Use These Skills
Browse this skill's relationships within its skillset. Click a node to switch the side panel; use the search box to jump to any skill.
Skill File
