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Found 1,662 Skills
Complete SEO setup for Next.js applications. Use when the user wants to implement or improve SEO in a Next.js app, including page metadata, sitemap.xml, llms.txt, robots.txt, and JSON-LD structured data generation, or SEO auditing. Trigger for queries about Next.js SEO optimization, search engine visibility, metadata management, or when the user mentions wanting better SEO for their Next.js application.
Search ClinicalTrials.gov with natural language queries. Find clinical trials, enrollment, and outcomes using Valyu semantic search.
Process external code review feedback with technical rigor. Use when receiving feedback from another LLM, human reviewer, or CI tool. Verifies claims before implementing, tracks disposition.
Methodology for effective AI-assisted software development. Use when helping users build software with AI coding assistants, debugging AI-generated code, planning features for AI implementation, managing version control in AI workflows, or when users mention "vibe coding," Cursor, Windsurf, or similar AI coding tools. Provides strategies for planning, testing, debugging, and iterating on code written with LLM assistance.
Build AI-first applications with RAG pipelines, embeddings, vector databases, agentic workflows, and LLM integration. Master prompt engineering, function calling, streaming responses, and cost optimization for 2025+ AI development.
Remove LLM-generated code patterns that add noise without value. Use when reviewing diffs, PRs, or branches to clean up AI-generated code. Triggers include requests to "remove slop", "clean up AI code", "review for AI patterns", or checking diffs against main for unnecessary verbosity, redundant checks, or over-engineering introduced by LLMs. Language-agnostic.
Guide Claude through SCSA, MetaTiME, CellVote, CellMatch, GPTAnno, and weighted KNN transfer workflows for annotating single-cell modalities.
Use this skill when crafting LLM prompts, implementing chain-of-thought reasoning, designing few-shot examples, building RAG pipelines, or optimizing prompt performance. Triggers on prompt design, system prompts, few-shot learning, chain-of-thought, prompt chaining, RAG, retrieval-augmented generation, prompt templates, structured output, and any task requiring effective LLM interaction patterns.
Used for answering, generating, refactoring, and troubleshooting code related to wot-ui v2. Keywords: wot-ui, uni-app, Vue3, wd-, ConfigProvider, useToast, useDialog, Form, Popup, theme, llms-full. Suitable for component selection, API query, sample page generation, theme customization, and troubleshooting common pitfalls.
Optimize content for AI search engines including Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and Microsoft Copilot. Covers generative engine optimization (GEO), AI citability audits, content structuring for extraction, schema markup, bot access configuration, and monitoring. Use when optimizing for AI search, AI overviews, generative search, LLM visibility, semantic search, entity optimization, or when user mentions AI SEO, GEO, Perplexity citations, ChatGPT visibility, or AI-generated answers.
Calculates whether Amazon Vine enrollment is net-positive for a given SKU before the seller commits the enrollment fee plus units on a Tier 3 enrollment. Uses category-specific CVR lift benchmarks and a hard cap rule to catch the enrollments that quietly lose money. Use when a user asks about Vine math, Vine ROI, or which tier to pick. Trigger phrases: "Vine ROI", "is Vine worth it", "Vine math", "Vine Tier 0 1 3 decision". Works with zero tools.
Run a managed pentest of a web app or API through the app.strix.ai REST API — no local Docker, LLM key, or install needed. Create an API token, register domain/repository assets, launch and poll scans, triage vulnerabilities, export SARIF, download PDF/DOCX pentest reports for SOC 2 and other compliance evidence (Enterprise plan), start PR reviews, and set up schedules and webhooks. Use when the user wants continuous or scheduled pentesting-as-a-service, an auditor-ready pentest report, scans tracked in a team dashboard, or security testing from a sandboxed agent/CI environment with no infrastructure.