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Found 5,475 Skills
Creates plugins (skills and MCPs) by guiding through the authoring process. Use when users want to create or update (1) skills that extend Claude's capabilities with specialized knowledge and workflows, or (2) MCPs (Model Context Protocol servers) that provide tools for Claude Desktop.
Use when order-of-magnitude cost estimates are needed to assess financial feasibility, compare cost-effectiveness of alternatives, or identify major cost drivers (not for detailed quotes—that's Procurement)
GCC compiler skill for C/C++ projects. Use when selecting optimization levels, warning flags, debug builds, LTO, sanitizer instrumentation, or diagnosing compilation errors with GCC. Covers flag selection for debug vs release, ABI concerns, preprocessor macros, profile-guided optimization, and integration with build systems. Activates on queries about gcc flags, compilation errors, performance tuning, warning suppression, or cross-standard compilation.
React performance optimization patterns including memoization, code splitting, bundle size reduction, re-render elimination, and profiling. Covers React Compiler automatic optimization, manual memo/useMemo/useCallback targeting, React.lazy with Suspense, barrel file avoidance, content-visibility for large lists, startTransition for non-urgent updates, and React DevTools profiling. Use when optimizing React app performance, reducing bundle size, eliminating unnecessary re-renders, debugging slow components, code splitting, or profiling rendering bottlenecks. Use for performance audit, bundle analysis, re-render diagnosis, lazy loading, virtualization.
Executes comprehensive PR reviews following Freenet standards. Performs four-perspective review covering code-first analysis, testing, skeptical review, and big-picture assessment.
Dynamic linking skill for Linux/ELF shared libraries. Use when debugging library loading failures, configuring RPATH vs RUNPATH, understanding soname versioning, using dlopen/dlsym for plugin systems, LD_PRELOAD interposition, or controlling symbol visibility. Activates on queries about shared libraries, dlopen, LD_LIBRARY_PATH, RPATH, soname, LD_PRELOAD, symbol visibility, or "cannot open shared object file" errors.
Clarifies that a party's failure to enforce a contractual right on one occasion does not permanently waive that right. Preserves the full enforceability of all terms despite occasional leniency or delayed action.
Complete ElevenLabs AI audio platform: text-to-speech (TTS), speech-to-text (STT/Scribe), voice cloning, voice design, sound effects, music generation, dubbing, voice changer, voice isolator, and conversational voice agents. Use when working with audio generation, voice synthesis, transcription, audio processing, or building voice-enabled applications. Triggers: generate speech, clone voice, transcribe audio, create sound effects, compose music, dub video, change voice, isolate vocals, build voice agent, ElevenLabs API/SDK/CLI/MCP.
Get started with Novita Skills. Use when user wants to know what skills are available, needs help installing team skills, wants to contribute new skills, asks about team capabilities, or needs recommendations for which skills to install. Provides an overview of all team skills, contribution guidelines, and helps users discover and install the right skills.
Fuzzing skill for automated input-driven bug finding in C/C++. Use when setting up libFuzzer or AFL++ fuzz targets, defining fuzz entry points around parsing or I/O boundaries, integrating fuzzing into CI, managing corpora, or combining fuzzing with sanitizers. Activates on queries about libFuzzer, AFL, afl-fuzz, fuzz targets, corpus management, coverage-guided fuzzing, or OSS-Fuzz integration.
Three-lens code review using parallel subagents: Epimetheus (hindsight — bugs, debt, fragility), Metis (craft — clarity, idiom, fit-for-purpose), Prometheus (foresight — vision, extensibility, future-Claude). Triggers on /titans, /review, 'review this code', 'what did I miss', 'before I ship this'. Use after completing substantial work, before /close. (user)
AI-powered systematic codebase analysis. Combines mechanical structure extraction with Claude's semantic understanding to produce documentation that captures not just WHAT code does, but WHY it exists and HOW it fits into the system. Includes pattern recognition, red flag detection, flow tracing, and quality assessment. Use for codebase analysis, documentation generation, architecture understanding, or code review.