Audit docs, code, configs, tests, and specs for cruft and health issues.
npx skills add https://github.com/kynetic-ai/kynetic-spec --skill audit-kynetic-ai
Please help me install this Agent Skill. Skill: audit Source: https://github.com/kynetic-ai/kynetic-spec/tree/main/.claude/skills/audit Command: npx skills add https://github.com/kynetic-ai/kynetic-spec --skill audit-kynetic-ai
Identifies cruft, gaps, and health risks across docs, code, config, tests, and specs to ensure a clean, release-ready codebase. It coordinates parallel exploration and interactive triage to drive concrete cleanup actions and accountability.
Perform a full repository audit to surface cruft, then kick off triage and task creation.
High-intent search queries and answers about installing and using this skill.
To identify cruft before a release, perform a parallel codebase audit that concurrently reviews docs, source code, configs, tests, and specs to surface file-level issues with severity and recommended cleanup actions.
A codebase health check is a parallel review of docs, code, configs, tests, and specs to find cruft and gaps. You need one for pre-release cleanups, onboarding to large refactors, or periodic maintenance to prevent regressions.
Yes, you can audit package.json, tsconfig, markdown docs, source code, and tests in parallel. This concurrent exploration surfaces structured findings with location, issue description, and recommended action for release readiness.
The best way to triage cruft is to generate structured findings with location and severity, then automatically create tasks and inbox records to track remediation decisions and maintain accountability during release readiness.
Yes, a pre-release codebase audit works for refactor onboarding by using parallel exploration to surface cruft, gaps, and health risks across all repository files, generating actionable tasks to guide the refactor process.
The parallel repository audit requires a parallel exploration workflow to coordinate concurrent file reviews across docs, code, configs, tests, and specs, generating structured findings and task records for traceability.
niksavisSearch code with ripgrep, discover files with fd, and query JSON/YAML with jq and yq.
lepahcDetect and triage cruft, outdated content, and quality gaps across a codebase.
ResearchMonkeyAnalyze test quality and coverage to identify gaps and flaky tests.
RangeyRoverRun static analysis across multiple languages and generate prioritized issue reports.
