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sovrium AI Skills

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Browse published AI skills maintained by sovrium. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

6

Repository stars across indexed skills

12

Repository forks

0

Average repository stars per indexed skill

2

Repository stars may repeat across skills from the same repository.

6 skills

Browse skills

GitHub

security-scanner

sovrium

Scans codebase for common security vulnerabilities including input validation gaps, authentication bypasses, data exposure risks, SQL injection, XSS, CSRF, insecure dependencies, and secrets in code. Identifies...

GitHub

code-duplication-detector

sovrium

Detects duplicate code patterns, similar functions, repeated logic, and copy-paste code across the codebase. Identifies refactoring opportunities by finding code that violates DRY principle. Reports duplication...

GitHub

dependency-tracker

sovrium

Tracks package.json dependencies and identifies undocumented, outdated, or misaligned tools. Compares installed packages against documented versions in docs/infrastructure/, detects unused dependencies, and fla...

GitHub

best-practices-checker

sovrium

Validates code against framework-specific best practices documented in docs/infrastructure/. Checks Effect usage patterns, React 19 conventions, Drizzle ORM patterns, Hono RPC implementations, and other framewo...

GitHub

regression-test-generator

sovrium

Converts @spec tests from a .spec.ts file into a comprehensive @regression test. Analyzes all @spec tests, extracts GIVEN-WHEN-THEN structure, and generates/maintains ONE @regression test combining all use case...

GitHub

config-validator

sovrium

Validates eslint.config.ts and tsconfig.json against documented architecture patterns and infrastructure requirements. Checks ESLint plugin configurations, TypeScript strict mode, FP enforcement, layer boundari...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.