Code Review skills

This skill enforces a human-written PR and commit workflow, ensuring intent, evidence, and reviewability across commits and pull requests.

This skill uploads images to img402.dev under 1MB and embeds the URL for GitHub PRs and issues.

This skill generates up-to-date Mermaid diagrams from your codebase, helping you visualize architecture for onboarding, documentation, and design reviews.

This skill guides evidence-based debugging through four phases: reproduce, isolate, identify root cause, and verify fix, auto-triggers on errors.

This skill deterministically classifies clarified input into a single primary task category, assigns execution complexity, and flags need for clarification

This skill serves as your AI programming tutor, guiding learning, debugging, and project work across Python and JavaScript.

This skill runs a VirusTotal style security review on OpenClaw/Cursor skills before install, highlighting RCE risks and malicious code indicators.

This skill helps you continuously improve OpenClaw agents by analyzing conversations, logging insights, and generating weekly improvement reports.

This skill helps you navigate and understand a codebase using hierarchical documentation, enabling fast module discovery and symbol lookup.

This skill coordinates multi-model reviews to generate a unified report, delivering diverse perspectives on code, documents, or decisions.

This skill helps compare AI coding tools across 7 dimensions, calculate costs, and recommend options tailored to team size and budget.

This skill helps you apply a feeling-first vs structure-first coding philosophy to refactor and evolve code with clarity and intention.

This skill helps you proactively vet and scan skills before installation to detect malicious code, risky behaviors, and data exfiltration.

This skill guides you through finalizing a feature branch by verifying tests and presenting merge, PR, keep, or discard options.

This skill routes tasks to specialized subagents via a dynamic registry and on-demand downloads, optimizing specialized engineering work.

This skill helps you describe trading ideas in natural language, generates a Python backtest strategy, and presents backtest results.

This skill orchestrates multi-project coding automation from Obsidian intake to MR merge and Telegram notification, boosting workflow efficiency.

This skill performs deep code analysis across architectures, data flow, and DDD patterns to help you understand, document, and improve complex codebases.

This skill analyzes Python code to identify memory-heavy patterns and proposes actionable optimizations with estimated savings.

This skill helps you manage Opencode sessions, models, and agents via slash commands, coordinating planning and build tasks for efficient coding.

This skill converts CSS rules into Tailwind utility classes, streamlining migration and preserving structure for easy refactoring.