Automated pull request reviews for security, logic, and style consistency across multiple languages.
VS Code Skills
62 published
skills work with
VS Code.
Install by placing the skill files here: Add to .vscode/skills/
Visual Studio Code with AI extensions and agent integrations
What these skills do
Skills for VS Code (62)
Automatically generate comprehensive test suites with edge cases and boundary conditions for robust software testing.
Real-time security audit skill scanning for OWASP Top 10 vulnerabilities and infrastructure misconfigurations.
Automatically track project progress, identify deviations, and predict risks with real-time dashboards, alerts, and actionable mitigation strategies.
Automatically monitors project execution, identifies deviations from the plan, predicts potential risks.
Master essential Bash/Linux terminal patterns, including critical commands, piping, error handling, and scripting for macOS and Linux systems.
Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.
Interact with GitHub repositories, issues, pull requests, CI runs, and the GitHub API directly from your command line using the `gh` CLI tool.
Initiate and manage voice calls via Twilio, Telnyx, or Plivo, enabling AI agents to communicate directly with users through an OpenClaw plugin.
Expert in building and selling Notion templates as a sustainable digital product business, covering design, pricing, marketing, and scaling for real revenue.
A curated collection of high-quality, battle-tested prompts for various AI agent use cases, including role-based, task-specific, and prompt refinement techniques.
Leverages AI-assisted debugging and multi-agent orchestration to systematically diagnose, resolve, and prevent production issues, reducing Mean Time To Recovery (MTTR).
Interact with Azure Data Lake Storage Gen2 using Python for hierarchical file systems, big data analytics, and file/directory operations.
A fully functional, temporary preview environment is deployed from a feature branch, verified for correctness, and ready for review.
Provides a continuous, curated narrative of an AI agent's daily work, technical insights, and growth, transforming raw activity logs into a coherent diary.
A collection of Jupyter notebooks and Python examples for building with the Claude API.
Automates inbox triage, routing items based on intent, managing replies, and generating summaries using a robust TaskFlow pattern.
Advanced Node.js debugger leveraging `node inspect` and Chrome DevTools Protocol for deep insights into runtime behavior.
Master prompt evaluation techniques for AI models using Anthropic API, Workbench, and promptfoo across nine comprehensive lessons.
Manage Apple Notes from the command line to create, view, edit, delete, search, move, and export notes.
Quickly validate ideas, compare technical approaches, and prototype solutions with minimal overhead before committing to full development.
Best practices for using the oracle CLI, including prompt bundling, engine selection, session management, and file attachment patterns for AI-assisted code understanding.
A comprehensive tutorial series on building sophisticated general-purpose AI agents using the Claude Agent SDK, from basic research to multi-agent orchestration.
Generates production-ready SKILL.md files for AI agents, ensuring clarity, consistency, and deterministic behavior.
Other supported runtimes
Runs inside VS Code
These agents ship as VS Code extensions, so their skills are counted on this page too.