Total 51,220 skills
Showing 12 of 51220 skills
Detect CVEs and security issues in project dependencies. Use when you need to analyze packages for known vulnerabilities across npm, pip, cargo, and other ecosystems.
Bootstrap Python MCP server projects and workspaces on macOS using uv and FastMCP with consistent defaults. Use when creating a new MCP server from scratch, scaffolding a single uv MCP project, scaffolding a uv workspace with package/service members, initializing pytest+ruff+mypy defaults, creating README.md, initializing git, running initial validation checks, or starting from OpenAPI/FastAPI with MCP mapping guidance.
Detects missing zeroization of sensitive data in source code and identifies zeroization removed by compiler optimizations, with assembly-level analysis, and control-flow verification. Use for auditing C/C++/Rust code handling secrets, keys, passwords, or other sensitive data.
Project path planning and execution assistant. It helps analyze project requirements, plan execution paths, decompose tasks, identify risks, and manage progress to ensure high-quality delivery of projects.
Generate new content based on PPT templates. Automatic PDF to image conversion → Template style analysis → Article content splitting → Prompt generation → AI image generation → PPTX packaging.
Assists in creating, modifying, viewing or managing GitHub Pull Request (PR). Automatically analyzes branch commits and change content, generates compliant Traditional Chinese PR titles and descriptions. Use cases include: (1) Create a new PR from the current branch, (2) Modify the title, description, reviewers or labels of an existing PR, (3) Check the PR status of the branch (open, merged, closed), (4) Need to automatically aggregate multiple changes to generate a summary. Applicable to scenarios with requests such as "create PR", "create pull request", "help me open a PR", "modify PR content". Operations are executed via GitHub CLI (gh).
Analyze gaps between requirements/features that should be tested and actual test coverage, identifying testing deficiencies and prioritizing test improvements
Accessibility review checklist for React/Next.js components built on Radix UI / shadcn/ui. Covers component library misuse, form accessibility, accessible names, keyboard interaction, focus management, and dynamic content. Loaded by pr-review-frontend.
TanStack Form v1 for Next.js 16 with Server Actions, Zod validation, and shadcn/ui integration. Use when building forms, validation, multi-step wizards, or dynamic field arrays.
Executes the implementation plan from a specification. Loops through plan phases, delegates tasks to specialists, updates phase status on completion. Supports resuming from partially-completed plans.
ChatGPT-style deep research strategy with problem decomposition, multi-query generation (3-5 variations per sub-question), evidence synthesis with source ranking, numbered citations, and iterative refinement. Use for complex architecture decisions, multi-domain synthesis, strategic comparisons, technology selection. Keywords: architecture, integration, best practices, strategy, recommendations, comparison.
Scan and analyze a software repository or project for design quality using principles from A Philosophy of Software Design by John Ousterhout. Use when user asks to review, audit, scan, or evaluate code quality, design quality, architecture, or technical debt. Also trigger for: code review, design review, complexity analysis, code health check, module depth analysis, information hiding review, how good is my code, review my project, find design problems, what is wrong with my codebase, rate my code, or anything about evaluating software design quality at a structural level. This is not a linter or style checker. It evaluates deep design qualities like module depth, abstraction quality, information hiding, and complexity patterns.