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。
Go performance optimization guidelines for profiling, allocation, GC tuning, concurrency, PGO, and I/O. This skill should be used when writing, reviewing, or optimizing Go code for performance. Triggers on task...
Expert-level Rust performance optimization guidelines for build profiles, allocation, synchronization, async/await, and I/O. This skill should be used when writing, reviewing, or optimizing Rust code for perfor...
TypeScript performance optimization guidelines for build times, type-checking, declaration emit, and editor responsiveness. This skill should be used when writing, reviewing, or optimizing TypeScript code and t...
Analytics & Product Insight Specialist that tracks what users actually do. Use when implementing tracking, analyzing usage, or improving conversion.
QA & Edge-Case Destroyer that kills weird bugs before users see them. Use when testing, reviewing edge cases, or hunting for bugs.
Debug issues in TireOps. Use when encountering errors, bugs, or unexpected behavior.
Performance & React Optimization Engineer that makes the app feel instant. Use when optimizing load times, fixing re-renders, or reviewing component efficiency.
Provides context about the TireOps codebase architecture, database schema, and project structure. Use when starting work, asking about how things work, or needing to understand the system.
Codebase-specific context for AI agents using Upstash Redis. Indexes documentation and provides relevant context for queries. Perfect for Q&A about codebases.
Rigorous data investigation with hypotheses, YoY context, and audit trail.
Quick CI/CD failure diagnosis. Use when builds fail.
Reviews panel visual appeal and layout quality for LCDPossible LCD displays. Use when: validating panel layout, checking visual quality, reviewing panel design, ensuring style compliance, auditing panel appeara...
Master systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexp...
Master end-to-end testing with Playwright and Cypress to build reliable test suites that catch bugs, improve confidence, and enable fast deployment. Use when implementing E2E tests, debugging flaky tests, or es...
Reviews code for security, performance, bugs, and architecture violations. MUST use proactively before committing changes and after implementing new features or fixing bugs. Also triggers on "review", "レビュー...
Guide for diagnosing lsp errors. This skill should be used when users wants to debug a lsp/diagnostic errors, warnings, or exceptions and get clear explanations and potential solutions. "Why am i getting thi...
Perform a comprehensive, cognitive static analysis of a specific feature or logic flow to identify logical flaws, missing connections, or design inconsistencies.
Gather threat intelligence using Shodan. Use for tracking threat actors, identifying attack infrastructure, and monitoring emerging threats. Triggers on requests for "threat intelligence", "track attackers", "C...
Identify vulnerabilities in internet-facing systems using Shodan. Use for vulnerability assessment, CVE discovery, and security auditing. Triggers on requests for "vulnerability scan", "find vulns", "CVE check"...
Unified execution engine for all development workflows. Progressive disclosure for phase execution, quick features, story completion, and scaffolding. Integrates with artifact-tracking and meatycapture-capture....
Use when automating browsers with Playwright/Puppeteer, testing Chrome extensions, using Chrome DevTools Protocol (CDP), handling dynamic content/SPAs, or debugging automation issues
Review architecture decisions and code changes against documented architecture principles. Use this skill before implementing new features or refactoring existing code to ensure compliance with layer boundaries...
Expert Performance Monitoring and PWA optimization.
Use Playwright MCP to check UI styles and usability. Automatically used for requests like "check UI", "verify appearance", "take screenshot", "UI review", "screenshot analysis".
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。