xfi-consistency-testing
Guide for ensuring CLI and VSCode extension produce identical analysis results. Use when verifying CLI-Extension parity, debugging output differences, or setting up consistency checks.
Discover lifestyle debugging skills, compare source repositories and read the instructions for each workflow.
Guide for ensuring CLI and VSCode extension produce identical analysis results. Use when verifying CLI-Extension parity, debugging output differences, or setting up consistency checks.
Guide for debugging X-Fidelity analysis issues. Use when troubleshooting analysis failures, rule evaluation problems, VSCode extension issues, or unexpected results.
Prometheus ops skill for metrics instrumentation, scraping configuration, alerting (Alertmanager), dashboarding (Grafana), SLO/SLA monitoring, and troubleshooting missing/incorrect metrics. Use for tasks like d...
Build, review, and refactor WeChat Mini Program (微信小程序) frontends. Use for tasks like WXML/WXSS/JS/TS structure, page routing, componentization, state management patterns, API requests, login/openid flows...
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.
Analyze codebases and generate Claude Code automation infrastructure including commands, scripts, and templates for systematic task execution. Use when the user wants to create reusable automation workflows, ge...
Bewertet Views auf iOS und Android nach Accessibility, Code-Qualität, Test-Coverage und UX/Layout. Erstellt automatisch Tickets für kritische Findings. Aktiviere diesen Skill wenn der User nach View-Qualitätspr...
Playwright automation best practices for web scraping and testing. Use when writing or reviewing Playwright code, especially for element operations (click, fill, select), waiting strategies (waitForSelector, wa...
React and Next.js performance optimization guidelines from Vercel Engineering. Use when writing, reviewing, or refactoring React/Next.js code for optimal performance patterns. Covers eliminating waterfalls, bun...
Provides comprehensive testing strategies and patterns for React applications. This skill should be used when writing tests, setting up testing infrastructure, or deciding what to test.
Provides performance optimization patterns for React applications. This skill should be used when optimizing bundle size, implementing code splitting, reducing re-renders, or improving web vitals.
Debug jsgui3 client-side activation issues. Use when SSR renders but clicks don’t work, this.dom.el is null, or you see Missing context.map_Controls / activation failures.
Debugging React render loops, infinite re-renders, and performance issues in Next.js. Use when encountering "Maximum update depth exceeded", useMemo/useCallback issues, useEffect dependency problems, or useSear...
Claude Code memory (CLAUDE.md) configuration reference. Use when setting up project memory, understanding memory hierarchy, or configuring persistent instructions.
Guide for writing comprehensive tests and achieving >= 95% coverage. Use this when asked to write tests, fix test coverage, or debug failing tests.
Run TypeScript UI tests with Vitest and summarize results. Shows failures and coverage stats. Use when testing UI code in src/ui, validating TypeScript changes, or debugging test failures.
Debug the scoreboard UI in Chrome using DevTools MCP. Inspect page state, console errors, network requests, and interact with elements. Use when debugging UI issues, checking for JS errors, or testing user inte...
Complete reference for Bl1nk Architect v2.0 - Full-stack GitHub repository analyzer with notifications (Slack, Linear, ClickUp) and beautiful widget reporting. Use when building notification systems, creating a...
Reviews UI test scenarios for RALPH chart and AC coverage. Detects uncovered constraints and acceptance criteria. Use as part of parallel UI test scenario review.
Comment quality review. Detects LLM generation traces, implementation history, conversational tone, HOW vs WHY patterns, and redundant comments.
Diagnoses Burn deep learning errors including tensor shape mismatches, backend panics, autodiff issues, and training failures. Use when encountering runtime errors, compilation failures, or unexpected behavior...
Reviews Burn deep learning code for idiomatic patterns, performance, backend portability, and best practices. Use when asked for code review, refactoring suggestions, or "is this idiomatic".
Unified logging infrastructure for script execution and work progress tracking
Analyze script failures to identify source components and propose fixes
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.