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Found 1,768 Skills
Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences. Generative Engine Optimization (GEO) analysis including brand mention signals, AI crawler accessibility, llms.txt compliance, passage-level citability scoring, and platform-specific optimization. Use when user says "AI Overviews", "SGE", "GEO", "AI search", "LLM optimization", "Perplexity", "AI citations", "ChatGPT search", or "AI visibility".
Comprehensive vitest testing patterns covering test structure, AAA pattern, parameterized tests, assertions, mocking, test doubles, error handling, async testing, and performance optimization. Use when writing, reviewing, or refactoring vitest tests, or when user mentions vitest, testing, TDD, test coverage, mocking, assertions, or test files (*.test.ts, *.spec.ts).
Generate authentic social media content in Ken's distinctive multilingual style - mixing Cantonese, English, and Traditional Chinese for personal branding, product promotion, and educational content. Perfect for creating viral posts that combine vulnerability, authority, and conversion optimization.
React performance optimization guidelines for Single Page Applications (SPA) at Workleap. Use when writing, reviewing, or refactoring React SPA code to ensure optimal performance patterns. Triggers on tasks involving React components, state management, bundle optimization, re-render prevention, rendering performance, or JavaScript performance improvements. Covers async waterfall elimination, bundle size reduction, re-render optimization, rendering efficiency, JS micro-optimizations, and advanced React patterns. Does NOT cover server-side rendering (SSR), Next.js, or server components.
Establish build performance baselines and apply systematic optimization techniques. Only activate in MSBuild/.NET build context. Use when diagnosing slow builds, establishing before/after measurements, or applying advanced optimization strategies like MSBuild Server, static graph builds, artifacts output, and dependency graph trimming. Start here before diving into specific optimizations from build-perf-diagnostics, incremental-build, or build-parallelism skills. DO NOT use for non-MSBuild build systems.
Use this skill when designing database schemas, optimizing queries, creating indexes, planning migrations, or choosing between database technologies. Triggers on schema design, normalization, indexing strategies, query optimization, EXPLAIN plans, migrations, partitioning, replication, connection pooling, and any task requiring database architecture or performance decisions.
Full content production pipeline from blank page to publish-ready piece. Covers competitive research, content briefs, drafting, SEO optimization, readability scoring, editorial quality gates, and internal linking. Use when writing blog posts, articles, guides, or long-form content end-to-end, or when user mentions write a post, draft an article, create content, content pipeline, editorial workflow, content operations, content calendar management, repurposing, or content at scale.
Grafana Cloud cost management — usage monitoring, cost attribution by label, usage alerts, invoice management, and optimization strategies. Covers Adaptive Metrics (cardinality reduction), Adaptive Logs (log filtering), cost attribution labels, and the FOCUS-compliant billing application. Use when analyzing Grafana Cloud spending, setting up cost alerts, attributing costs to teams, reducing metric/log cardinality, or forecasting observability budgets.
Use when deploying or managing Kubernetes workloads requiring cluster configuration, security hardening, or troubleshooting. Invoke for Helm charts, RBAC policies, NetworkPolicies, storage configuration, performance optimization.
World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-thought, and AI evaluation. Includes RAG optimization, agent design, and LLM system architecture. Use when building AI products, optimizing LLM performance, designing agentic systems, or implementing advanced prompting techniques.
Implement advanced filtering and sorting capabilities for APIs with query parsing, field validation, and optimization. Use when building search features, complex queries, or flexible data retrieval endpoints.
Run systematic growth experiments to increase acquisition, activation, retention, and revenue. Use when optimizing conversion funnels, running A/B tests, improving metrics, or when users mention growth, experimentation, optimization, or scaling user acquisition.