Code Review

Systematic code review patterns covering security, performance, maintainability, correctness, and testing — with severity levels, structured feedback guidance, review process, and anti-patterns to avoid. Use when reviewing PRs, establishing review standards, or improving review quality.

Code Mentor

Comprehensive AI programming tutor for all levels. Teaches programming through interactive lessons, code review, debugging guidance, algorithm practice, project mentoring, and design pattern exploration. Use when the user wants to: learn a programming language, debug code, understand algorithms, review their code, learn design patterns, practice data structures, prepare for coding interviews, understand best practices, build projects, or get help with homework. Supports Python and JavaScript.

Clean Code

Pragmatic coding standards for writing clean, maintainable code — naming, functions, structure, anti-patterns, and pre-edit safety checks. Use when writing new code, refactoring existing code, reviewing code quality, or establishing coding standards.

Structured PR Review

Structured PR code review with layered analysis and severity tiers. Two modes: (1) Giving reviews — walk through security, correctness, conventions, IaC, and...

StellarGraph

Machine Learning on Graphs, a Python library for machine learning on graph-structured (network-structured) data.

Agent Browser Core

OpenClaw skill for the agent-browser CLI (Rust-based with Node.js fallback) enabling AI-friendly web automation with snapshots, refs, and structured commands.

pr-reviewer

Automated GitHub PR code review with diff analysis, lint integration, and structured reports. Use when reviewing pull requests, checking for security issues,...

Log Analyzer

Parse, search, and analyze application logs across formats. Use when debugging from log files, setting up structured logging, analyzing error patterns, correlating events across services, parsing stack traces, or monitoring log output in real time.

Critical Code Reviewer

Conduct rigorous, adversarial code reviews with zero tolerance for mediocrity. Use when users ask to "critically review" my code or a PR, "critique my code", "find issues in my code", or "what's wrong with this code". Identifies security holes, lazy patterns, edge case failures, and bad practices across Python, R, JavaScript/TypeScript, SQL, and front-end code. Scrutinizes error handling, type safety, performance, accessibility, and code quality. Provides structured feedback with severity tiers

OpenSpec

Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.

Ralph Mode - Autonomous Development Loops

Autonomous development loops with iteration, backpressure gates, and completion criteria. Use for sustained coding sessions that require multiple iterations, test validation, and structured progress tracking. Supports Next.js, Python, FastAPI, and GPU workloads with Ralph Wiggum methodology adapted for OpenClaw.

Golang Data Structures

Golang data structures — slices (internals, capacity growth, preallocation, slices package), maps (internals, hash buckets, maps package), arrays, container/...

Structural Engineer Video — Marketing and Client Education Videos for Structural Engineer Professionals

Create short marketing and educational videos that showcase structural engineering expertise to attract clients and build trust for bookings and inquiries.