tech-debt
Technical debt management - scan codebase for bad smells and create tracking issues
Discover research debugging skills, compare source repositories and read the instructions for each workflow.
Technical debt management - scan codebase for bad smells and create tracking issues
Apply systematic performance optimization techniques for Python and Rust code: estimation + profiling, API/bulk design, algorithmic wins, cache-friendly memory layout, fewer allocations, fast paths, caching, an...
Comprehensive code review with security, performance, and quality analysis. Use when users ask to review code, analyze code quality, evaluate pull requests, or mention code review, security analysis, or perform...
Analyze code review pipeline performance for a specific PR. Use when investigating slow PRs, identifying bottlenecks, or debugging performance issues in code reviews.
Analyze code review pipeline performance for a specific PR. Use when investigating slow PRs, identifying bottlenecks, or debugging performance issues in code reviews.
Integrate Databuddy analytics into applications using the SDK or REST API. Use when implementing analytics tracking, feature flags, custom events, Web Vitals, error tracking, LLM observability, or querying anal...
Z.AI CLI providing: - Vision: image/video analysis, OCR, UI-to-code, error diagnosis (GLM-4.6V) - Search: real-time web search with domain/recency filtering - Reader: web page to markdown extraction - Repo: Git...
Guide for debugging failing GitHub Actions workflows. Use this when asked to debug failing GitHub Actions workflows.
Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".
Debug specific document parsing failures
Provides React Native performance optimization guidelines for FPS, TTI, bundle size, memory leaks, re-renders, and animations. Applies to tasks involving Hermes optimization, JS thread blocking, bridge overhead...
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Trigge...
Check web interfaces against Vercel's design guidelines. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", "check my site against best practices", or "apply Vercel design gui...
命令注入漏洞测试的专业技能和方法论
网络渗透测试的专业技能和方法论
反序列化漏洞测试的专业技能和方法论
CRITICAL: Use for unsafe Rust code review and FFI. Triggers on: unsafe, raw pointer, FFI, extern, transmute, *mut, *const, union, #[repr(C)], libc, std::ffi, MaybeUninit, NonNull, SAFETY comment, soundness, und...
CRITICAL: Use for performance optimization. Triggers: performance, optimization, benchmark, profiling, flamegraph, criterion, slow, fast, allocation, cache, SIMD, make it faster, 性能优化, 基准测试
Visualize Rust function call graphs using LSP. Triggers on: /call-graph, call hierarchy, who calls, what calls, 调用图, 调用关系, 谁调用了, 调用了谁
Comprehensive learning resources and tutorials for LLVM, Clang, and compiler development. Use this skill when helping users learn LLVM internals, find educational resources, or understand compiler concepts.
Expertise in LLVM tooling development including Clang plugins, LLDB debugger extensions, Clangd/LSP, and LibTooling. Use this skill when building source code analysis tools, refactoring tools, debugger extensio...
Expertise in binary lifting techniques - converting machine code to LLVM IR for analysis, decompilation, and recompilation. Use this skill when working on reverse engineering, binary analysis, deobfuscation, or...
Expertise in LLVM-based dynamic binary instrumentation, runtime tracing, and program monitoring. Use this skill when implementing runtime analysis tools, code coverage systems, profilers, or dynamic security mo...
Expertise in LLVM-based static analysis including dataflow analysis, pointer analysis, taint tracking, and program verification. Use this skill when implementing security scanners, bug finders, code quality too...
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.