argus
The all-seeing code analyzer. Help AI grok your codebase.
Discover research debugging skills, compare source repositories and read the instructions for each workflow.
The all-seeing code analyzer. Help AI grok your codebase.
DAA-powered codebase analysis using swarm agents. Use for deep analysis of large codebases.
This skill should be used when detecting programming languages in projects, determining language versions from config files, installing development environments (Rust, Python, Node.js), setting up LSP servers,...
Comprehensive code review guidance for quality, performance, and architecture across all programming languages. Use when (1) User explicitly requests code review, (2) After writing significant code changes, (3)...
Deep, excruciating code review. Use anytime to analyze code for correctness, edge cases, security, performance, and design issues. Not tied to baseline—this is pure code analysis.
Create focused, specific technical documentation for codebase sections. Analyzes code, identifies topics, presents options before writing. Supports code blocks with line numbers.
Code review specialist. Use when code needs review, before merging changes, or to assess code quality. Provides structured feedback with severity levels.
Reviews code changes for bugs, style issues, and best practices. Use when reviewing PRs or checking code quality.
Fast codebase navigator - finds files and code patterns quickly
Long-running coding sessions (background + tmux) for Codex, Claude, OpenCode, or Pi.
Standards for writing effective code comments that explain "why" code exists, helping future developers and AI agents understand intent, context, and reasoning behind code decisions.
Conduct comprehensive codebase research by spawning parallel sub-agents and generating documentation. Use when the user asks how the current system works or requests a codebase deep dive.
Conduct comprehensive codebase research and generate documentation. Use when the user asks how the current system works or requests a codebase deep dive.
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
Creating visual displays of key metrics and data points that provide at-a-glance insights for monitoring, analysis, and data-driven decision-making.
Comprehensive debugging strategies, tools, and techniques for efficiently identifying and fixing bugs across different environments.
Tracking player behavior and game performance through metrics, event tracking, funnel analysis, retention metrics, and integration with analytics platforms for data-driven game development.
Full API reference for Chrome DevTools browser automation. Use when automating browsers, taking screenshots, web scraping, testing web apps, or debugging performance.
Task memory management for retrospective contributions. Use to track good points, pain points, and decisions during task execution.
DevTools orchestrator: code quality and automation.
Codebase research specialist for PM task assignment. Use proactively before assigning tasks to understand existing patterns, dependencies, and implementation approaches.
Unified workflow for web app development using Chrome DevTools + Peekaboo. Use when testing web UIs, debugging layouts, or automating browser interactions.
Run Ultimate Bug Scanner for automated bug detection across multiple languages. Detects 1000+ bug patterns including null pointers, security vulnerabilities, async/await issues, and resource leaks. Integrates w...
Testing strategy, test pyramid (70% unit/25% integration/5% E2E), PGlite patterns, Playwright best practices. Use when writing tests, debugging test failures, or when user mentions testing/test/spec/E2E.
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.