Explorar skills
31.375 skills encontradas
seek-and-analyze-video
Seek and analyze video content using Memories.ai Large Visual Memory Model for persistent video intelligence
vercel-ai-sdk-expert
Expert in the Vercel AI SDK. Covers Core API (generateText, streamText), UI hooks (useChat, useCompletion), tool calling, and streaming UI components with React and Next.js.
n8n-node-configuration
Operation-aware node configuration guidance. Use when configuring nodes, understanding property dependencies, determining required fields, choosing between get_node detail levels, or learning common configuration patterns by node type.
ddd-strategic-design
Design DDD strategic artifacts including subdomains, bounded contexts, and ubiquitous language for complex business domains.
hugging-face-community-evals
Run local evaluations for Hugging Face Hub models with inspect-ai or lighteval.
iterate-pr
Iterate on a PR until CI passes. Use when you need to fix CI failures, address review feedback, or continuously push fixes until all checks are green. Automates the feedback-fix-push-wait cycle.
azure-storage-blob-ts
Azure Blob Storage JavaScript/TypeScript SDK (@azure/storage-blob) for blob operations. Use for uploading, downloading, listing, and managing blobs and containers.
azure-ai-document-intelligence-dotnet
Azure AI Document Intelligence SDK for .NET. Extract text, tables, and structured data from documents using prebuilt and custom models.
reverse-engineer
Expert reverse engineer specializing in binary analysis, disassembly, decompilation, and software analysis. Masters IDA Pro, Ghidra, radare2, x64dbg, and modern RE toolchains.
daily-gift
Relationship-aware daily gift engine with five-stage creative pipeline — editorial judgment, synthesis, concept generation, visual strategy, and rendering in H5, image, or video
daily-news-report
Scrapes content based on a preset URL list, filters high-quality technical information, and generates daily Markdown reports.
context-degradation
Language models exhibit predictable degradation patterns as context length increases. Understanding these patterns is essential for diagnosing failures and designing resilient systems.