skill-snitch
Security auditing for MOOLLM skills - static analysis and runtime surveillance
root-cause-analysis-methodology
This skill should be used when the user asks to "perform root cause analysis", "investigate production issue", "analyze incident", "find root cause", "debug production error", "trace the cause", or mentions investigating production problems, alerts, or outages. Provides systematic RCA methodology and investigation workflows.
analysis-codebase
Analyze existing codebases for tech stack, conventions, entities, and patterns. Use when scanning projects for context, brownfield analysis, or when you see "tech stack", "codebase analysis", "existing code", "collision risk", "brownfield", or "project context".
prometheus-analysis
This skill should be used when the user asks to "query Prometheus", "analyze Prometheus metrics", "check Prometheus alerts", "write PromQL", "interpret Prometheus data", "fetch metrics", or mentions Prometheus querying, alerting, or metrics analysis. Provides guidance for querying and interpreting Prometheus metrics for root cause analysis.
pattern-detection
Detect patterns, anomalies, and trends in code and data. Use when identifying code smells, finding security vulnerabilities, or discovering recurring patterns. Handles regex patterns, AST analysis, and statistical anomaly detection.
binary-resynthesis
Use when ready to document findings, generate a report, or summarize binary analysis results. Compiles analysis findings into structured reports - correlates facts from triage/static/dynamic phases, validates hypotheses, generates documentation with evidence chains. Keywords - "summarize findings", "generate report", "document analysis", "what did we find", "write up results", "export findings"
project-discovery
Deep project analysis for architecture planning. Use when starting migration or designing new agent components for an unfamiliar codebase.
architecture-review
Review Next.js project architecture compliance. Checks layer dependencies, component placement, and zero-margin principle. Use during code reviews or when creating new components.
python-performance-optimization
Python performance optimization patterns using profiling, algorithmic improvements, and acceleration techniques. Use when optimizing slow Python code, reducing memory usage, or improving application throughput and latency.
cuda
CUDA kernel development, debugging, and performance optimization for Claude Code. Use when writing, debugging, or optimizing CUDA code, GPU kernels, or parallel algorithms. Covers non-interactive profiling with nsys/ncu, debugging with cuda-gdb/compute-sanitizer, binary inspection with cuobjdump, and performance analysis workflows. Triggers on CUDA, GPU programming, kernel optimization, nsys, ncu, cuda-gdb, compute-sanitizer, PTX, GPU profiling, parallel performance.
react-hooks-complete
Complete React hooks reference system. PROACTIVELY activate for: (1) useState and useReducer patterns, (2) useEffect and lifecycle, (3) useRef for DOM and values, (4) useContext for shared state, (5) useMemo and useCallback optimization, (6) React 19 hooks (useTransition, useDeferredValue, useActionState, useOptimistic), (7) Custom hook development, (8) Hook rules and best practices. Provides: Hook syntax, effect cleanup patterns, performance optimization, custom hook patterns. Ensures correct hook usage following React best practices.
react-testing
Complete React testing system. PROACTIVELY activate for: (1) Vitest/Jest setup and configuration, (2) React Testing Library patterns, (3) Component testing with userEvent, (4) Custom hook testing with renderHook, (5) Mocking modules and components, (6) Async component testing, (7) Context and provider testing, (8) Accessibility testing with jest-axe. Provides: Test setup, query priority, user simulation, mock patterns, integration testing. Ensures reliable tests that focus on user behavior.
react-performance
Complete React performance optimization system. PROACTIVELY activate for: (1) React.memo and memoization, (2) useMemo and useCallback usage, (3) Code splitting with React.lazy, (4) List virtualization (react-window, react-virtuoso), (5) Avoiding unnecessary re-renders, (6) useTransition and useDeferredValue, (7) Bundle optimization, (8) Web Vitals and profiling. Provides: Profiler setup, memoization patterns, lazy loading, virtualization config, state colocation. Ensures optimal React performance with measurable improvements.
webgl-expert
Expert guide for WebGL API development including 3D graphics, shaders (GLSL), rendering pipeline, textures, buffers, performance optimization, and canvas rendering. Use when working with WebGL, 3D graphics, canvas rendering, shaders, GPU programming, or when user mentions WebGL, OpenGL ES, GLSL, vertex shaders, fragment shaders, texture mapping, or 3D web graphics.
buck2-build-troubleshoot
Debugs Buck2 build failures systematically by analyzing error logs, checking common issues (cache, visibility, cycles), and suggesting fixes. Use when builds fail, tests won't run, or Buck2 reports errors.
vigil-testing-e2e
End-to-end testing with Vitest for Vigil Guard v2.0.0 detection engine. Use when writing tests, debugging test failures, managing fixtures, validating 3-branch detection, working with 8 test files, analyzing bypass scenarios, or testing arbiter decisions.
webapp-testing
Toolkit for interacting with and testing local web applications using Playwright. Use when verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
codebase-search
Search and navigate large codebases efficiently. Use when finding specific code patterns, tracing function calls, understanding code structure, or locating bugs. Handles semantic search, grep patterns, AST analysis.
binary-redynamic-analysis
Use when you need to run a binary, trace execution, or observe runtime behavior. Runtime analysis via QEMU emulation, GDB debugging, and Frida hooking - syscall tracing (strace), breakpoints, memory inspection, function interception. Keywords - "run binary", "execute", "debug", "trace syscalls", "set breakpoint", "qemu", "gdb", "frida", "strace", "watch memory"
performance-optimization
Optimize application performance for speed, efficiency, and scalability. Use when improving page load times, reducing bundle size, optimizing database queries, or fixing performance bottlenecks. Handles React optimization, lazy loading, caching, code splitting, and profiling.
systematic-debugging
Four-phase debugging methodology with root cause analysis. Use when investigating bugs, fixing test failures, or troubleshooting unexpected behavior. Emphasizes NO FIXES WITHOUT ROOT CAUSE FIRST.
