发现 data ai debugging 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Analyze network traffic captures and artifacts for forensic investigation. Use when investigating data exfiltration, command and control communications, lateral movement, or network-based attacks. Supports PCAP...
Analyze mobile device data for forensic investigation. Use when investigating incidents involving iOS or Android devices, mobile malware, data theft, or communications analysis. Supports logical and file system...
AI-Powered Security Testing Toolkit - Professional penetration testing scripts for discovering vulnerabilities, analyzing application structure, and generating context-aware security tests. All scripts return s...
Debug failing Playwright E2E tests by analyzing error messages, stack traces, screenshots, and Playwright traces. Provides actionable solutions for common test failures including timeouts, selector issues, race...
Automated code quality assistant that formats code, fixes syntax/type errors, detects bugs, and validates fixes across Python, JavaScript, TypeScript, Java, Go, and Rust
Analyzes project tasks by priority levels, generates optimization checklists, executes selected optimizations with quality assurance, and produces detailed reports for software development and project managemen...
Analyzes codebases by impact scope (low/medium/high), generates refactoring checklists, supports interactive review, executes refactors with QA, and produces detailed optimization reports.
Debug React components, fix hooks errors, resolve TypeScript issues, handle state management bugs, and fix rendering problems. Use when encountering React errors, hooks violations, type errors, or component ren...
Systematic debugging for Rust applications. Root cause analysis, logging strategies, profiling, and issue reproduction. All debug changes removed before final report.
Leverage personal notes and documentation through Terraphim's role-based search. AI agents can search developer's local knowledge organized by domain (Rust, frontend, architecture) using the terraphim-agent REP...
Use when collaborating with other AI assistants (Codex, Gemini, Aider, Cursor, OpenCode), delegating tasks, or requesting code review.
Stack-specific knowledge for bootstrapping and shipping Next.js projects. Use when starting new projects, preparing for production, or checking dependency versions.
Bundle size reduction strategies, icon optimization, tree-shaking, and performance analysis. Use when reducing bundle size or optimizing imports.
Explains code with visual diagrams and analogies. Use when explaining how code works, teaching about a codebase, or when the user asks "how does this work?"
Analyzes code for complexity issues. Use when code feels hard to understand, reviewing maintainability, or planning refactoring.
Systematic debugging with APEX pattern learning. Applies hypothesis-driven investigation, evidence collection, and reflection to update pattern trust scores.
Systematic debugging with pattern learning. Applies hypothesis-driven investigation, evidence collection, and reflection to update pattern confidence.
Use when calling APEX MCP tools (apex_patterns_lookup, apex_patterns_overview, apex_task_create, apex_reflect, etc.) for pattern intelligence, task tracking, or submitting reflections. Reference guide for all 1...
Detect project type and recommend deployment platform. Use when deploying projects, choosing hosting platforms, analyzing project structure, or when user mentions deployment, platform selection, MCP servers, AP...
Security vulnerability scanning, secret detection, dependency auditing, and OWASP best practices. Use when performing security audits, scanning for vulnerabilities, detecting exposed secrets, checking dependenc...
Framework and stack identification with detection scripts and patterns. Use when detecting project type, analyzing framework, identifying stack, initializing projects, or when user mentions project detection, f...
Comprehensive tech stack detection, framework identification, dependency analysis, and project.json generation. Use when analyzing project structure, detecting frameworks, identifying dependencies, discovering...
Comprehensive frontend testing patterns including component tests (Jest/Vitest + RTL), visual regression (Playwright), accessibility (axe-core), and performance (Lighthouse) testing for React/Next.js applicatio...
Expert data analysis covering SQL, visualization, statistical analysis, business intelligence, and data storytelling.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。