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Found 2,259 Skills
Systematic X (Twitter) operations skill for founders, indie developers, and tech professionals. Implements a daily Plan-Do-Check-Act closed loop with content strategy (5-pillar system), multimodal creation, thread growth playbook, engagement and community building, product promotion integration, persona development, competitor analysis, and data-driven continuous improvement. Use when managing an X account, planning content, analyzing tweet performance, engaging with community, running competitive analysis, or optimizing posting strategy.
Systematically investigate bugs, test failures, build errors, performance issues, or unexpected behavior by cycling through characterize-isolate-hypothesize-test steps. Use when the user asks to "investigate this bug", "debug this", "figure out why this fails", "find the root cause", "why is this broken", "troubleshoot this", "diagnose the issue", "what's causing this error", "look into this failure", "why is this test failing", or "track down this bug".
Use this skill when optimizing Core Web Vitals - LCP (Largest Contentful Paint), INP (Interaction to Next Paint), and CLS (Cumulative Layout Shift). Triggers on page speed optimization, Lighthouse score improvement, fixing layout shifts, improving responsiveness, setting up performance monitoring with CrUX or RUM, and framework-specific CWV fixes for Next.js, Nuxt, Astro, and Remix.
Vercel Observability expert guidance — Drains (logs, traces, speed insights, web analytics), Web Analytics, Speed Insights, runtime logs, custom events, OpenTelemetry integration, and monitoring dashboards. Use when instrumenting, debugging, or optimizing application performance and user experience on Vercel.
Master Odoo ORM patterns: search, browse, create, write, domain filters, computed fields, and performance-safe query techniques.
Conducts comprehensive backend design reviews covering API design quality, database architecture validation, microservices patterns assessment, integration strategies evaluation, security design review, and scalability analysis. Evaluates API specifications (REST, GraphQL, gRPC), database schemas, service boundaries, authentication/authorization flows, caching strategies, message queues, and deployment architectures. Identifies design flaws, security vulnerabilities, performance bottlenecks, and scalability issues. Produces detailed design review reports with severity-rated findings, architecture diagrams, and implementation recommendations. Use when reviewing backend system designs, validating API specifications, assessing database schemas, evaluating microservices architectures, reviewing integration patterns, or when users mention backend design review, API design validation, database design review, microservices assessment, or backend architecture evaluation.
Technical SEO audit with GEO-specific checks — crawlability, indexability, security, performance, SSR, and AI crawler access
Performance and load testing patterns — k6 load tests, Locust stress tests, pytest execution optimization (xdist parallel, plugins), test type classification, and performance benchmarking. Use when writing load tests, optimizing test execution speed, or setting up pytest infrastructure.
Agent skill for performance-benchmarker - invoke with $agent-performance-benchmarker
Review the code quality of a spec-driven change. Checks readability, security, performance, and best practices before archiving.
Intelligent network quality analysis with adaptive loading strategies. Detects connection type (2g/3g/4g), bandwidth, RTT, and save-data mode, then automatically triggers appropriate optimization workflows. Includes decision trees that recommend image compression for slow connections, critical CSS inlining for high RTT, and save-data optimizations (disable autoplay, reduce quality). Features connection-aware performance budgets (500KB for 2g, 1.5MB for 3g, 3MB for 4g+) and adaptive loading implementation guides. Cross-skill integration with Loading (TTFB impact), Media (responsive images), and Core Web Vitals (connection impact on LCP/INP). Use when the user asks about slow connections, mobile optimization, save-data support, or adaptive loading strategies. Compatible with Chrome DevTools MCP.
Execute a micro-level React code quality audit. Validates code against live GitHub standards for testing, component architecture, hooks patterns, state management, performance, and TypeScript. Produces a detailed violations report with prioritized action plan. Use when the user asks to check React code quality, validate best practices, or review frontend code standards. Triggers on: 'react best practices', 'react code quality', 'component review', 'hooks review', 'react standards', 'frontend code quality'.