Embeddings
Vector embeddings and similarity
flow-hybrid-search
by tiangong-lca
Execute and troubleshoot Supabase edge function flow_hybrid_search, which rewrites flow descriptions and calls hybrid_search_flows with optional filters. Use when validating flow query/filter behavior, tuning retrieval prompts, or debugging auth, embedding, and RPC failures.
tailor-ai-augmented-engineering-mcp
by anupdavin
Auto-induced behavioral skill for scoring and tailoring AI-Augmented Engineering & MCP job applications (Critic Verified Score: 95/100).
tailor-agentic-ai-systems
by anupdavin
Auto-induced behavioral skill for scoring and tailoring Agentic AI Systems job applications (Critic Verified Score: 93/100).
tailor-full-time-india-remote-b2b-knowledge-graphs-rag-agentic-systems
by anupdavin
Auto-induced behavioral skill for scoring and tailoring Full-Time India Remote / B2B - Knowledge Graphs, RAG & Agentic Systems job applications (Critic Verified Score: 98/100).
research
by acking-you
Structured web research with multi-source validation. Output reports with complete citation links. Focus on key results, verify information quality.
process-hybrid-search
by tiangong-lca
Execute and troubleshoot Supabase edge function process_hybrid_search, which rewrites process descriptions and calls hybrid_search_processes with optional filters. Use when validating process query/filter behavior, tuning retrieval prompts, or debugging auth, embedding, and RPC failures.
tailor-full-time-india-remote-principal-java-ai-retrieval
by anupdavin
Auto-induced behavioral skill for scoring and tailoring Full-Time India Remote - Principal Java & AI Retrieval job applications (Critic Verified Score: 98/100).
tailor-global-b2b-contract-lead-java-ai-architecture
by anupdavin
Auto-induced behavioral skill for scoring and tailoring Global B2B Contract — Lead Java & AI Architecture job applications (Critic Verified Score: 98/100).
Retrieve relevant information through RAG
by run-llama
Leverage Retrieval Augmented Generation to retrieve relevant information from a a LlamaCloud Index. Requires the llama_cloud_services package and LLAMA_CLOUD_API_KEY as an environment variable.
tailor-lead-cloud-native-spring-ai-engineering
by anupdavin
Auto-induced behavioral skill for scoring and tailoring Lead Cloud-Native & Spring AI Engineering job applications (Critic Verified Score: 95/100).
engram
by EngramMemory
Persistent semantic memory for AI agents. Store, search, recall, and forget memories across sessions using Qdrant + FastEmbed.
graphmemory
by bradAGI
Build and query embedded GraphRAG knowledge graphs with DuckDB-backed vector, full-text, and hybrid search. Use when the user wants to store entities and relations, run RAG over a graph, extract knowledge graphs from text with DSPy, run graph algorithms (PageRank, centrality, components), merge/upsert nodes and edges, fuzzy-dedupe an existing graph, or visualize interactively in a browser. Trigger phrases include "knowledge graph", "GraphRAG", "graph database", "hybrid search", "extract entities and relations", "DuckDB graph", "embedded graph store", "dedupe graph nodes".
literature-review
by u9401066
系統性文獻搜尋、篩選、下載、整理。觸發：文獻回顧、找論文、搜尋文獻、systematic review、literature search、PubMed、找文章、搜paper、review、reference、citation、引用、參考文獻、背景調查、background。
surrealdb
by 24601
"Expert SurrealDB 3 skill. Use when working with SurrealDB, SurrealQL queries, multi-model data modeling (document, graph, vector, time-series, geospatial), schema design, graph traversal, vector search, security and permissions, deployment and operations, performance tuning, SDK integration, Surrealism WASM extensions, SurrealMCP, Surrealist IDE, Surreal-Sync migrations, SurrealFS, SurrealKit, or ecosystem integrations such as n8n and CodeMirror."
rag-evaluation
by latestaiagents
Test and benchmark RAG systems with proper metrics and evaluation frameworks. Use this skill when evaluating RAG quality, measuring retrieval performance, using RAGAS metrics, or building RAG test suites. Activate when: RAG evaluation, RAG testing, RAGAS, retrieval metrics, faithfulness, relevance, context precision, RAG benchmarking.
ecom-catalog-funnel
by mikefilsaime-groove
This skill should be used when the user asks to "create an ecommerce catalog", "build a product catalog page", "multi-product store", "category page", or mentions product catalogs, collection pages, or multi-product ecommerce. Creates ecommerce catalog funnels that showcase multiple products effectively.
branded-types
by marius-townhouse
Use when primitive types need semantic distinction. Use when string or number types have different meanings. Use when you need nominal typing.
chunking-strategies
by latestaiagents
Optimize document chunking for RAG performance and retrieval quality. Use this skill when splitting documents, choosing chunk sizes, implementing semantic chunking, or improving RAG retrieval accuracy. Activate when: chunking, split documents, chunk size, text splitting, document processing, RAG performance, semantic chunking, overlap.
hybrid-retrieval
by latestaiagents
Implement hybrid search combining vector and keyword retrieval for RAG systems. Use this skill when building RAG retrieval, combining semantic search with BM25, implementing reciprocal rank fusion (RRF), or optimizing retrieval accuracy. Activate when: vector search, keyword search, BM25, semantic search, hybrid RAG, retrieval optimization, search relevance, reranking.
production-rag-checklist
by latestaiagents
Deploy RAG systems to production with proper architecture, monitoring, and operations. Use this skill when deploying RAG to production, scaling retrieval systems, implementing RAG monitoring, or building enterprise RAG infrastructure. Activate when: production RAG, RAG deployment, enterprise RAG, RAG architecture, RAG monitoring, RAG scaling, RAG infrastructure, RAG ops.
corrective-rag
by latestaiagents
Implement Corrective RAG (CRAG) and Self-RAG for reliable, self-healing retrieval systems. Use this skill when building reliable RAG, preventing hallucinations, implementing retrieval evaluation, or adding self-correction to RAG pipelines. Activate when: corrective RAG, CRAG, self-RAG, hallucination prevention, retrieval evaluation, RAG reliability, self-healing RAG, document grading.
graphrag-patterns
by latestaiagents
Implement GraphRAG combining knowledge graphs with RAG for multi-hop reasoning. Use this skill when building knowledge graph RAG, implementing multi-hop queries, using Neo4j with RAG, or connecting entities across documents. Activate when: GraphRAG, knowledge graph, multi-hop reasoning, Neo4j RAG, entity extraction, relationship queries, graph database, connected data.
agentic-rag
by latestaiagents
Build agentic RAG systems with autonomous planning, reflection, and tool use. Use this skill when implementing agent-driven retrieval, query decomposition, iterative refinement, or multi-source RAG orchestration. Activate when: agentic RAG, A-RAG, autonomous retrieval, query planning, iterative RAG, multi-step retrieval, agent retrieval, RAG agent.
ui-ux-pro-max
by julianromli
"UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient."