skill-code-review
Multi-LLM code review pipeline using consensus-based analysis to detect security, architectural, and quality issues.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
360 skills found
Multi-LLM code review pipeline using consensus-based analysis to detect security, architectural, and quality issues.
Aggressively prune grammatical scaffolding and filler text from inputs to optimize LLM token usage while retaining core semantic content.
Extracts mathematical content like definitions, theorems, and proofs from documents (PDF, MD, TEX, TXT) using AI-based cleaning and conversion.
Analyze Claude Code session history to identify inefficiencies, optimize token usage, and suggest workflow improvements.
Rigorous, non-performative code review reception for AI agents, prioritizing technical verification and YAGNI over passive agreement.
Systematically improve marketing copy through a 7-pass editing framework to boost clarity, tone, and conversion impact.
Identify, categorize, and troubleshoot flaky tests by analyzing CI history, execution patterns, and code structure to improve test suite reliability.
Generates minimal macOS Seatbelt sandbox configurations for application isolation and security profiling.
A structured design and planning tool for Vizro dashboards, enforcing a 3-step workflow (requirements, layout, visualization) to ensure production-ready dashboard development.
Automated academic literature retrieval, structured summarization, and multi-channel scheduling workflow for research topics.
Diagnose dotCMS CI/CD GitHub Actions failures, including PR builds, merge queue issues, and nightly test reports.
Validates Excel exports for Customer Feedback Analyzer with 7 specific view sheets, 36 columns, and precise color-coded formatting. Ensures zero errors in customer-facing deliverables.