Topic · AI & LLM Engineering
Best embeddings skills, page 7
Embeddings skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 289 | Build a Cohere v2 RAG pipeline with asymmetric embeddings, retrieval, Rerank v4, grounded Chat, and citation validation. | jeremylongshore/ | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | today |
| 290 | Migrate an application to or from Cohere with a provider adapter, parallel embedding index, quality evaluation, canary traffic, and rollback. | jeremylongshore/ | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | today |
| 291 | Set up and optimize Cursor codebase indexing for semantic code search and @Codebase queries. | jeremylongshore/ | 2.8k | — | ~2k | Automated safety check: Notes | MIT | today |
| 292 | Measure Instantly plan, account, verification, and enrichment usage without embedding stale prices. | jeremylongshore/ | 2.8k | — | ~1.2k | Automated safety check: Pass | MIT | today |
| 293 | Build and query vector stores with LangChain 1.0 without getting burned by flipped score semantics, embedding-dim mismatches, reranker quirks, and chunk-splitter bugs. | jeremylongshore/ | 2.8k | — | ~2.6k | Automated safety check: Pass | MIT | today |
| 294 | Build Mistral embeddings, retrieval, and function-calling loops with tenant isolation and application-owned execution. | jeremylongshore/ | 2.8k | — | ~889 | Automated safety check: Pass | MIT | today |
| 295 | Govern Mistral prompts, outputs, embeddings, files, OCR, audio, batch, stateful resources, and deletion evidence. | jeremylongshore/ | 2.8k | — | ~927 | Automated safety check: Pass | MIT | today |
| 296 | Build and verify a fund-backed Ramp virtual-card workflow with least-privilege scopes, idempotency, controlled card-detail delivery, and lifecycle evidence. | jeremylongshore/ | 2.8k | — | ~1.4k | Automated safety check: Pass | MIT | today |
| 297 | 297.Chromadb Manage the ChromaDB vector database that stores the ecosystem's persistent memory. | EliasOulkadi/ | 114 | — | ~2.2k | Automated safety check: Pass | MIT | 3 days ago |
| 298 | 298.Memory Persistent memory across AI sessions using ChromaDB vector database. | EliasOulkadi/ | 114 | — | ~2.3k | Automated safety check: Notes | MIT | 3 days ago |
| 299 | Call POST /embeddings on Venice. An agent skill from veniceai/skills. | veniceai/ | 143 | — | ~2.4k | Automated safety check: Pass | MIT | 2 days ago |
| 300 | Adding LLM and AI capabilities to a MoonBit Golem agent. An agent skill from golemcloud/golem. | golemcloud/ | 1.5k | — | ~1.5k | Automated safety check: Pass | Unknown | today |
| 301 | Adding LLM and AI capabilities to a Scala Golem agent. An agent skill from golemcloud/golem. | golemcloud/ | 1.5k | — | ~1.7k | Automated safety check: Pass | Unknown | today |
| 302 | 302.Golem Add LLM TS Adding LLM and AI capabilities to a TypeScript Golem agent. An agent skill from golemcloud/golem. | golemcloud/ | 1.5k | — | ~1.3k | Automated safety check: Pass | Unknown | today |
| 303 | 303.Scholar Compute Design and execute computational social science analyses across 11 modules: text-as-data/NLP (STM, BERTopic, Wordfish, BERT, conText embedding regression, LLM annotation + DSL bias correction… | joshzyj/ | 168 | — | ~15k | Automated safety check: Pass | Unknown | 20 days ago |
| 304 | 304.Scholar Open Implement open science practices for a social science study. | joshzyj/ | 168 | — | ~14k | Automated safety check: Pass | Unknown | 20 days ago |
| 305 | Protein language models (ESM3, ESM C) for sequence generation, structure prediction, inverse folding, and embeddings. | jaechang-hits/ | 370 | 1 repo | ~4k | Automated safety check: Pass | MIT | 9 days ago |
| 306 | Walk through omicverse's single-cell preprocessing tutorials to QC PBMC3k data, normalise counts, detect HVGs, and run PCA/embedding pipelines on CPU, CPU–GPU mixed, or GPU stacks. | majiayu000/ | 666 | 2 repos | ~2.8k | Automated safety check: Pass | MIT | today |
| 307 | 307.Sc Clustering Load when building the neighbour graph, embedding (UMAP/t-SNE/diffmap/PHATE), and clustering (Leiden/Louvain) on a normalised single-cell AnnData. | TianGzlab/ | 161 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 308 | 308.Sc Metacell Load when aggregating single cells into metacells (sample-aware coarse-grained pseudo-cells) on a normalised scRNA AnnData via SEACells or KMeans on a low-D embedding. | TianGzlab/ | 161 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 309 | 309.ML Autoresearch A skill your agent uses when the user wants an autonomous ML research loop that does more than blindly try changes. | gaasher/ | 174 | 1 repo | ~5.2k | Automated safety check: Warn | MIT | 3 mo ago |
| 310 | Diagnoses and improves Qdrant search relevance. An agent skill from qdrant/skills. | qdrant/ | 253 | — | ~616 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 311 | 311.Supabase Connect to Supabase for database operations, vector search, and storage. | sundial-org/ | 663 | — | ~1.6k | Automated safety check: Pass | No licence | 7 mo ago |
| 312 | To build Solr phrase-tagging semantic search: concept tagging, taxonomy, graph paths. | griddynamics/ | 354 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | 8 days ago |
| 313 | Optimize Rotary Position Embedding (RoPE) kernels in Triton for NVIDIA and AMD GPUs. | ZJLi2013/ | 102 | — | ~421 | Automated safety check: Pass | No licence | 6 mo ago |
| 314 | A skill your agent uses when choosing an embedding model, chunk size, or query form, when semantic search returns irrelevant results, when adding hybrid BM25+vector or a reranker, or when a… | ericrisco/ | 167 | — | ~2.7k | Automated safety check: Pass | MIT | today |
| 315 | 315.Redis A skill your agent uses when using Redis or any Redis-protocol store (Valkey, ElastiCache, Upstash, Dragonfly, Memorystore) as a cache, queue, rate limiter or distributed lock and it has to be… | ericrisco/ | 167 | — | ~4.3k | Automated safety check: Pass | MIT | today |
| 316 | 316.Vector DB A skill your agent uses when operating a vector store as a data layer — choosing or migrating between Pinecone, Qdrant, Weaviate and pgvector; designing a collection or index (distance metric… | ericrisco/ | 167 | — | ~2.8k | Automated safety check: Pass | MIT | today |
| 317 | 317.Convex Runtime Implement Convex runtime features: HTTP actions, file storage, search (full text + vector), scheduling (crons + scheduled functions), and RAG patterns. | IgorWarzocha/ | 122 | — | ~1.1k | Automated safety check: Pass | No licence | 8 mo ago |
| 318 | 318.Esm Toolkit for protein language models (ESM3 for multimodal generative protein design; ESM C for efficient embeddings). | majiayu000/ | 666 | 1 repo | ~1.7k | Automated safety check: Pass | MIT | today |
| 319 | 319.Geniml Python library for genomic interval ML. An agent skill from majiayu000/claude-skill-registry. | majiayu000/ | 666 | 1 repo | ~4.3k | Automated safety check: Pass | BSD-2-Clause | today |
| 320 | 320.NLP Engineering A skill your agent uses when building NLP pipelines, implementing text classification, semantic search, embeddings, or summarization. | majiayu000/ | 666 | 1 repo | ~4.4k | Automated safety check: Pass | MIT | today |
| 321 | 321.Openai SDK Integrate OpenAI APIs into applications. An agent skill from majiayu000/claude-skill-registry. | majiayu000/ | 666 | 1 repo | ~2.3k | Automated safety check: Pass | Apache-2.0 | today |
| 322 | 322.RAG Engineer Expert in building Retrieval-Augmented Generation systems. An agent skill from majiayu000/claude-skill-registry. | majiayu000/ | 666 | 3 repos | ~2.5k | Automated safety check: Pass | MIT | today |
| 323 | A skill your agent uses for DSPy retrieval with dspy.Embedder, dspy.Embeddings, FAISS indexes, semantic search, and local or hosted embedding models. | OmidZamani/ | 124 | — | ~720 | Automated safety check: Pass | MIT | 3 mo ago |
| 324 | Databricks Vector Search endpoints and indexes for RAG and semantic search; covers index types, search modes, end-to-end RAG patterns | databricks/ | 345 | — | ~2.9k | Automated safety check: Pass | Unknown | today |
| 325 | A skill your agent uses when building the exhibits for a Journal of Consumer Research (JCR) manuscript — study-summary tables, mediation/moderation results, interaction and spotlight plots… | franklee16/ | 223 | 1 repo | ~1.1k | Automated safety check: Pass | No licence | 20 days ago |
| 326 | Build AI-first applications with RAG pipelines, embeddings, vector databases, agentic workflows, and LLM integration. | aiskillstore/ | 430 | 1 repo | ~4.5k | Automated safety check: Pass | No licence | yesterday |
| 327 | 327.Session Finder Index and search Claude Code sessions using semantic embeddings (Gemini). | glebis/ | 389 | — | ~402 | Automated safety check: Pass | MIT | 12 days ago |
| 328 | 328.Esm ESM2 protein language model for embeddings and sequence scoring. | NeverSight/ | 216 | 1 repo | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 329 | Optimize agent skills for discoverability on ClawdHub/MoltHub. | aAAaqwq/ | 105 | 1 repo | ~3.7k | Automated safety check: Pass | MIT | 11 days ago |
| 330 | 330.Surrealdb Memory A comprehensive knowledge graph memory system with semantic search, episodic memory, working memory, automatic context injection, and per-agent isolation. | LeoYeAI/ | 2.2k | — | ~5.6k | Automated safety check: Pass | MIT | 2 mo ago |
| 331 | Methodology for systematically designing document chunking strategies for RAG pipelines. | revfactory/ | 1.3k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 332 | Text preprocessing technique catalog: tokenization, normalization, stopwords, morphological analysis, embedding selection, and language-specific processing guides. | revfactory/ | 1.3k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 333 | Search relevance and ranking on OpenSearch/Elasticsearch for a two-sided marketplace — candidate retrieval (hybrid BM25 + kNN, RRF, two-tower EBR), base relevance (BM25F, multimatch, LambdaMART)… | pproenca/ | 215 | — | ~3.8k | Automated safety check: Pass | MIT | 1 mo ago |
| 334 | 334.Creating Kb Builds a portable, embedding-free knowledgebase from a set of files and delivers it as a self-contained .skill bundle (BM25 index + bundled searcher + query protocol). | oaustegard/ | 150 | — | ~1.5k | Automated safety check: Pass | MIT | today |
| 335 | 335.Semantic Grep In-process semantic search over text files or in-memory strings, using Gemini embeddings via the CF AI Gateway. | oaustegard/ | 150 | — | ~2.1k | Automated safety check: Pass | MIT | today |
| 336 | 336.Chroma Open-source embedding database for RAG — store embeddings, vector search, metadata filtering. | AlexAI-MCP/ | 135 | — | ~2.3k | Automated safety check: Pass | MIT | 6 mo ago |
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