debugging
Standardized debugging and diagnostic guidelines for AI coding agents.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
491 skills found
Standardized debugging and diagnostic guidelines for AI coding agents.
Integration patterns and best practices for TanStack Query, Router, and Start. Ensures type-safe data flow, efficient SSR, and unified caching.
Generates standardized metadata, including git/jj version info and timestamps, for research docs, handoffs, and implementation plans.
A rigorous, four-phase methodology to enforce systematic root cause analysis before applying any code fixes.
Generate, validate, and refine Mermaid diagrams including flowcharts, sequence diagrams, ERDs, and architecture maps to visualize complex software systems and workflows.
Automate the creation and maintenance of BrowserOS feature documentation using a structured, codebase-aware workflow to generate concise Mintlify MDX pages.
Manage project SSOT, memory, and cross-tool search. Guardian of decisions.md and patterns.md for Claude Code. Use for context retention, memory synchronization, and decision tracking.
Deployment skill for AWS Elastic Beanstalk Node.js apps, providing dependency strategies for monorepos, private packages, and environment configuration.
Guided, systematic feature development agent that orchestrates codebase exploration, architectural design, implementation, and automated testing.
Coverage-guided fuzzer for Ruby code and C extensions, powered by libFuzzer and address sanitizers to detect memory corruption and undefined behavior.
Research agent for Nia: index/search remote codebases, docs, and packages. Optimizes AI context by prioritizing full source indexing over web fetches to reduce hallucinations.
Automated, non-destructive proofreading for LaTeX and Quarto lecture files, generating quality reports for grammar, typos, and academic style.