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。
Expert knowledge in optimizing web application performance for speed, efficiency, and excellent user experience. Covers Core Web Vitals (LCP, FID/INP, CLS), loading optimization, runtime performance, bundle opt...
MoonBit code generation best practices. Use when writing MoonBit code to avoid common AI mistakes with syntax, tests, and benchmarks.
Эксперт по bug bounty. Используй для поиска уязвимостей, написания отчётов, responsible disclosure и penetration testing.
Эксперт по TypeScript. Используй для типизации, дженериков, декораторов, паттернов проектирования и best practices в TypeScript.
Эксперт CVE tracking. Используй для vulnerability management, security advisories и patch prioritization.
Show what ekkOS learned and did. Activate when the user asks "what did you learn", "show me my patterns", "ekkOS status", "memory summary", or wants to understand what the memory system captured. This skill pro...
Browser automation skill for web testing, scraping, and interaction. Use for end-to-end testing, screenshots, and browser automation tasks.
Analyze Langfuse trace JSON exports using jq queries. Use when user provides a Langfuse trace file (.json) for analysis, debugging agent behavior, checking token usage, or investigating tool calls. Triggers on...
Browser automation, debugging, and performance analysis using Puppeteer CLI scripts. Use for automating browsers, taking screenshots, analyzing performance, monitoring network traffic, web scraping, form automa...
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
Comprehensive observability setup patterns for Google ADK agents including logging configuration, Cloud Trace integration, BigQuery Agent Analytics, and third-party observability tools (AgentOps, Phoenix, Weave...
Performance optimization patterns for Mem0 memory operations including query optimization, caching strategies, embedding efficiency, database tuning, batch operations, and cost reduction for both Platform and O...
Four-phase debugging framework that ensures root cause identification before fixes. Use when encountering bugs, test failures, unexpected behavior, or when previous fix attempts failed. Enforces investigate-fir...
Deep code review with web research. USE WHEN user says 'double check against latest', 'verify versions', 'check security'. Complements automatic quality hook with ecosystem verification.
Performs in-depth codebase exploration at the start of a coding session. Builds comprehensive understanding of project structure, architecture, key components, and patterns. Use when starting a new session, whe...
Extract and track builder commitments from critique exegesis. Use /commitments to audit promises made in prose, verify implementation status, and identify unfulfilled obligations.
Generate critical analyses of Univrs.io ecosystem releases. Use when critiquing DOL, VUDO, Spirit, ENR, CryptoSaint, learn.univrs.io, or vudo.univrs.io changes. Invoked via /critique to ask "Who benefits from t...
Metacognitive oversight. "$sg review" for on-demand evaluation, "$sg init" to set up, "$sg audit" to review decisions.
Identify security vulnerabilities and anti-patterns providing feedback on security issues a senior developer would catch. Use when user mentions security/vulnerability/safety concerns, code involves user input/...
Identify performance issues and bottlenecks suggesting optimizations a senior developer would recommend. Use when user mentions performance/optimization/speed issues, asks "why is this slow?" or similar questio...
Detect common code smells and anti-patterns providing feedback on quality issues a senior developer would catch during review. Use when user opens/views code files, asks for code review or quality assessment, m...
Test execution patterns, failure classification, and result analysis
Debug failed GPU CLI runs. Analyze error messages, diagnose OOM errors, fix sync issues, troubleshoot connectivity, and resolve common problems. Turn cryptic errors into actionable fixes.
Comprehensive observability strategy including metrics, logs, traces, and alerting. Use when setting up new applications, debugging production issues, performance optimization, SLA/SLO definition, incident resp...
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。