Embeddings
Vector embeddings and similarity
library-ebooks
by montagao
Use when needing to look up book content inside my own Amazon (Kindle) book library (purchases + any personal docs), find a book by title/author, download an ebook I own (where Amazon permits), or reference material from a published book I’ve purchased. Triggers on book lookups, ebook downloads, "find the book", "get the PDF/EPUB of" from my library. Downloads produce PDF/EPUB/MOBI files (and may include Kindle formats depending on the title) - use ebook-extractor skill to convert to text.
image-search
by clearsmog
Search the web for images (photos, logos, graphics) and download them with Typst embedding code. Use when the user needs real-world images, company logos, or existing graphics for documents.
social-monitoring
by graemerycyk
"Monitor Reddit, Twitter/X, Product Hunt, and community forums for customer sentiment, feature requests, and market trends. Use when a PM needs voice-of-customer insights from public discussions."
@tank/frontend-craft
by tankpkg
Expert frontend craft for building apps that make users go "wow, this is fast and easy." Covers micro-interactions, perceived performance, premium component patterns, visual polish, state choreography, component architecture, and shadcn registry discovery via the CLI. Synthesizes Saffer (Microinteractions), Wathan/Schoger (Refactoring UI), Krug (Don't Make Me Think), Yablonski (Laws of UX), Nabors (Animation at Work), Tidwell (Designing Interfaces), plus production patterns from Linear, Vercel, Notion, and the external component ecosystem. Trigger phrases: "micro-interaction", "make it feel fast", "loading state", "skeleton screen", "optimistic update", "framer motion", "animation", "command palette", "data table", "TanStack Table", "toast notification", "sonner", "cmdk", "shadcn", "UI polish", "wow factor", "delightful UI", "premium feel", "perceived performance", "empty state", "page transition", "error state", "form UX", "modal pattern", "visual polish", "spring animation", "aceternity", "aceternity ui", "3d card", "parallax scroll", "text effect", "animated background", "hero section", "spotlight effect", "aurora background", "bento grid", "card hover", "typewriter effect", "text generate", "floating navbar", "background beams", "lamp effect", "sparkles", "shadcn space", "shadcnspace", "dashboard blocks", "marketing blocks", "landing page blocks", "pricing section", "testimonials", "feature section", "animated button", "animated component", "21st.dev", "21st dev", "react bits", "reactbits", "fancy components", "fancycomponents", "physics animation", "variable font", "letter swap", "gravity effect", "elastic line", "scramble text", "pixel trail", "css buttons", "neumorphism"
ast-grep-search
by Ven0m0
Performs structural code search and safe rewrite planning with ast-grep. Use when pattern matching must follow AST structure instead of plain text.
parallel-ai-search
by tristanmanchester
Web search + URL extraction via Parallel Search/Extract APIs. Use for up-to-date research, domain-scoped searching, and extracting LLM-ready excerpts/markdown from URLs.
@tank/vector-graphics-gen
by tankpkg
Generate vector graphics (SVG) for websites and apps using AI APIs. Primary platforms: QuiverAI Arrow (highest quality, #1 SVG Arena) and fal.ai with Recraft V4 for native SVG generation, plus image-to-SVG conversion. Covers text-to-vector generation, image vectorization, prompt engineering for clean vector output, SVG optimization (SVGO), and web integration patterns (React, Vue, sprites, dark mode). Synthesizes QuiverAI documentation, fal.ai documentation, Recraft AI documentation, SVGO docs, and SVG specification. Trigger phrases: "vector graphic", "generate SVG", "SVG icon", "vector illustration", "AI vector", "fal.ai", "FAL_KEY", "recraft", "recraft v4", "text to SVG", "image to SVG", "quiver", "quiverai", "arrow model", "vectorize image", "SVG generation", "vector logo", "AI illustration", "icon generation", "SVG for web", "vector art API", "fal-ai/recraft", "generate icon", "web illustration", "SVG background", "vector pattern", "clean SVG", "production SVG", "text-to-vector"
gui-screenshot-loop
by Idate96
General GUI screenshot loop via MCP. Use for any screen/window/region capture while debugging UI or visual tools.
RAG System Configuration
by oyi77
This RAG system powers Vilona's memory. Every significant decision, lesson learned, and insight gets stored and retrieved automatically.
building-adk-agents
by sumik5
Google ADK (Agent Development Kit) for building intelligent AI agents with Python. MUST load when google-adk is detected in requirements or pyproject.toml. Covers Agent taxonomy, Agent types (LlmAgent/Sequential/Parallel/Loop/Base), Tools (FunctionTool/OpenAPI/MCP), Multi-Agent orchestration, A2A Protocol (JSON-RPC/REST), Runner, Session, Artifact, Memory, State lifecycle, Context (Caching/Compaction), RAG (Corpus/Vector Search/Agentic), Grounding, Plugin System, Callbacks/Guardrails (6 types), SSE Streaming, Live API, UI Integration (CopilotKit/Streamlit/Slack), Code Execution, LLM Models (Gemini/LiteLLM/Anthropic), Deployment (Cloud Run/Vertex/GKE), CI/CD, Cost optimization, Security (IAM/Data privacy), Responsible AI. Distinct from developing-python (general) by focusing on ADK patterns.
ask-shadcn-architect
by NavanithanS
Enforce shadcn/ui patterns, imports, and CLI-first component usage.
building-rag-systems
by sumik5
Comprehensive RAG (Retrieval-Augmented Generation) system building guide covering data loading pipelines (11 source types including Word, PDF, CSV, audio, video, multimodal), data preparation (metadata enrichment, text quality enhancement, 5 chunking strategies from character to agentic), and full RAG architecture overview with Python. Use when building RAG applications, designing data ingestion pipelines, or implementing text chunking strategies. For Python language best practices, use developing-python instead. For LLMOps operational framework, use practicing-llmops. For JavaScript/LangChain.js RAG in web apps with Vercel AI SDK, see integrating-ai-web-apps.
dataset-curator
by famaoai-creator
Prepares and audits high-quality datasets for AI/RAG applications. Cleans noise, structure data, and ensures privacy compliance in knowledge bases.
tensor-grep
by oimiragieo
Use when searching text in files, codebases, logs, or documents at scale. Use when finding files by pattern, searching massive logs that are too big for CPU regex, extracting specific content from many files, when you need semantic/AST structural code queries, or when you need NLP classification of threats in server logs. Triggers on "search for", "find occurrences", "look for pattern", "search in files", "classify logs", or "structural code search".
@tank/gmail
by tankpkg
"Send, read, search, label, and manage email through the Gmail API. Covers composing (plain text, HTML, attachments), thread-aware replies, Gmail search query syntax (from:, to:, has:attachment, after:), label management, filter automation, and draft workflows. Triggers: gmail, email, send email, read email, search email, attachment, label, filter, thread, draft, Gmail API, compose, reply, forward, inbox, MIME."
scraperapi-mcp
by scraperapi
Knowledge base for the 22 ScraperAPI MCP tools. Covers scrape, Google (search, news, jobs, shopping, maps), Amazon (product, search, offers), Walmart (search, product, category, reviews), eBay (search, product), Redfin (for_sale, for_rent, search, agent), and crawler tools. Provides tool selection, parameter optimization, credit cost guidance, and error recovery. Trigger on: ScraperAPI tools, web scraping, Google queries, Amazon/Walmart/eBay e-commerce lookups, Redfin real estate data, crawler configuration, SERP monitoring, price comparison, or when unsure which ScraperAPI tool to use.
@tank/llm-app-patterns
by tankpkg
Build production-grade LLM-powered applications — RAG systems, tool-using agents, structured output extraction, streaming responses, and cost optimization. Covers the full engineering stack for apps built on top of foundation models, not model training. Synthesizes Huyen (AI Engineering), Brousseau & Sharp (LLMs in Production), Bouchard & Peters (Building LLMs for Production), Lanham (AI Agents in Action), Arsanjani & Bustos (Agentic Architectural Patterns), Rothman (RAG-Driven Generative AI). Trigger phrases: "RAG", "retrieval-augmented generation", "vector search", "chunking strategy", "embedding", "reranking", "hybrid search", "tool use", "function calling", "tool calling", "agent", "agentic", "multi-agent", "orchestrator", "structured output", "JSON mode", "Instructor", "Pydantic", "streaming", "server-sent events", "SSE", "token streaming", "LLM cost", "model routing", "semantic cache", "prompt caching", "LLM evaluation", "LLM-as-judge", "RAGAS", "hallucination", "faithfulness", "golden dataset", "LLM in production", "LLMOps", "build with LLMs", "LLM application"
ast-grep
by buildrtech
Guide for writing ast-grep rules to perform structural code search and analysis. Use when users need to search codebases using Abstract Syntax Tree (AST) patterns, find specific code structures, or perform complex code queries that go beyond simple text search. This skill should be used when users ask to search for code patterns, find specific language constructs, or locate code with particular structural characteristics.
knowledge-searching
by mzt-76
"OBLIGATOIRE pour toute question factuelle sur la nutrition — proteines, macros, deficit, supplements, regimes, BMR. Charge ce skill ET appelle retrieve_relevant_documents AVANT de repondre. Ne jamais repondre de memoire sur des sujets nutritionnels."
agno
by AbhishekSharma-17
"Build AI agents, multi-agent teams, and agentic workflows using the Agno framework. MANDATORY TRIGGERS: Agno, agno-agi, AgentOS, any mention of the Agno framework. Also trigger when the user wants to build AI agents with tools/memory/knowledge, create multi-agent systems, RAG pipelines, reasoning agents, agentic workflows, or deploy agents to production. Trigger even if the user just says 'build me an agent', 'create an AI assistant', or 'make a chatbot' — if Agno is anywhere in their stack or project dependencies. When in doubt about whether to use this skill for agent-building tasks, use it."
ZVec Skill
by oyi77
Benchmarks
braindb
by Uzxyr-btw
Persistent, semantic memory for AI agents. Gives your AI long-term recall that survives compaction and session resets — 98% accuracy, 20ms latency.
indx-search
by indxSearch
Indx Search integration skill for AI coding agents. Use when building search functionality with Indx — a high-performance search engine using pattern recognition instead of tokenizers or stemmers. Covers C# NuGet (IndxSearchLib) and HTTP API (IndxCloudApi) integration, field configuration, querying, filters, boosts, coverage tuning, and search UX patterns.
applying-semantic-versioning
by sumik5
Semantic Versioning 2.0.0仕様に基づくバージョン判断ガイド。MAJOR/MINOR/PATCH判定、プレリリース・ビルドメタデータ、範囲指定を提供。 REQUIRED for all version-related decisions. Use when determining version bumps, creating releases, or managing dependencies.