2,121 tagged RAG and vectors, measured the same way as everything else here.
Browse within: LLM 385knowledge-graph 243agent 225Multi-Agent 209dsh-plugin 203persistent memory 201skills 164agents 133workflow 122knowledge-base 118wanwu 107local-llm 97enterprise-ai 95gdpr 93
topprismdata/cultivating-ml-agent
Skill Claude CodeCodex
A guide for running Kaggle competitions, an online platform where people build models against shared datasets, and organizing research in a searchable NotebookLM knowledge base.
DefaultHQ/build-support-agent-skill
Skill Claude Code
Plan and build a production customer-support agent — a RAG product-Q&A bot that drafts replies, posts them for human review, and graduates to controlled autonomy. Use when someone wants to build an in-house support agent, a Slack-native or support-platform AI bot, a ticket-answering / customer-Q&A agent, or wants to…
Skill Claude CodeCodex needs its repo
Run the retrieval regression gate against the current repo state and report whether a recent change helped, hurt, or held steady.
Skill Claude CodeCodex
Local-first agent memory and knowledge service (RAG) installed from PyPI. Use when a task needs to store or recall long-term user preferences, project decisions, facts, documents or web pages, when different projects need separate memories, or when the user mentions "kb memory", "kb", or a local MCP memory service.…
Skill Claude CodeCodex
A local knowledge-base search tool that indexes folders and finds matching files or passages using text and meaning. RAG, or retrieval-augmented generation, is the practice of retrieving relevant source material before answering.
Skill Claude CodeCodex
Use this skill to audit an AI system for security vulnerabilities including prompt injection, sensitive data exposure, excessive agent permissions, unsafe tool calls, and insecure output handling. Grounded in OWASP GenAI LLM Top 10 (2026). Activates before production deployment of any LLM-based application, agent, or…
Skill Claude CodeCodex
Content Operating and Management System (Markdown-Native CMS).
Skill Claude CodeCodex
A question-answering skill for Noita, a game involving spells, wands, perks, enemies, bosses, alchemy, maps, and world lore. It searches a local Chinese Noita wiki and uses the results to answer questions.
jlldavies/go4-llm-design-patterns
Skill Claude CodeCodex
Use when designing, architecting, planning, or debugging any system with an LLM in it — agents, agent loops, RAG and retrieval, prompt pipelines, multi-agent or subagent orchestration, tool use and MCP, memory and context management, evals, or production guardrails. Trigger BEFORE committing to an approach — choosing…
Skill Claude CodeCodex
Search, ingest, expand chunk context, or manage local documents via a local RAG MCP server (tools: querydocuments, readchunkneighbors, ingestfile, ingestdata, deletefile, listfiles). Use when user says "search my docs", "save this page", "read around that chunk", "what did I save about X", or invokes npx mcp-local-rag.
Skill Codex
Index and semantically search private local text, source code, documentation, and logs with the intel-npu-tools MCP server. Use when an agent needs meaning-based retrieval from a local project or document directory, needs to refresh an existing NPU index, or needs source-backed local context without uploading files.
Skill Claude CodeCodex
Use when working with StrataDB / stratadb — an embedded multi-model database (key-value, JSON documents, vectors, events, graphs) with git-style branches and time travel. Covers opening databases from Python or the CLI, choosing a primitive, branch isolation, as-of reads, typed error handling, and built-in inference…
Skill Claude CodeCodex
Satori MCP workflow for repository code intelligence: finding where unfamiliar behavior lives, tracing ownership and callers, reviewing change impact, and handling index readiness (create, sync, reindex, cancel). Use when a task needs Satori search, navigation, or index lifecycle decisions beyond a known path or…
alrcatraz/astra-knowledge-base-mcp
Skill Claude CodeCodex needs its repo
Two-layer knowledge architecture — curate in LLM Wiki, search in Astra KB. Covers input classification, source-to-wiki ingestion, wiki-to-KB export (batch + realtime), semantic chunking, SAG extraction, health checks, and multi-format export.
Skill Claude CodeCodex
Use this when someone asks to "search documents", "query RAG", "ingest file", "ingest PDF", "save web page", "add to knowledge base", or mentions document search, semantic search, vector search, or RAG operations. Covers score interpretation ( 0.5 skip), query tips, and ingestion guidance for querydocuments…
Skill Claude CodeCodex needs its repo
Import an Obsidian vault into ChromaDB for semantic search. Parses markdown files, extracts frontmatter, headings, tags, and content sections. Chunks intelligently by heading hierarchy. Use when indexing a knowledge base, importing notes for semantic recall, or syncing an Obsidian vault to a vector database.
Skill Claude CodeCodex
Spectral vector search using graph Laplacian eigenstructure. Build signal graphs, run λτ-indexed queries, and analyse spectral properties of vector datasets.
Skill Claude CodeCodex needs its repo
Develop/iterate on the MidMem middleware core (this repo's packages/core — the shared "LLM Wiki" knowledge layer). Use when adding or changing MidMem capability — retrieval lanes, tiers/lifecycle, work-memory events, concept routing, claims, grounding, the MCP/CLI/hook surfaces, or its tests. Encodes the…
Skill Codex
Use when a RAG request needs bounded multi-round evidence gathering with Critic-based sufficiency checks before returning an answer.
Skill Claude Code
Use when writing code in an app that does semantic search, RAG, or ingests documents into a vector database on the platform — running nearest-neighbor queries, listing/adding/removing documents, or feeding retrieved chunks into an LLM. Covers VectorDatabaseQuery(), ListDocumentsInVectorDatabase()…
vaquarkhan/platform-engineering-agent-skills
Skill Claude CodeCodex
Implements DataOps CI/CD with lakeFS-style branching, pre-commit data validation hooks, and deterministic RAG ingestion with vector DB as fuzzy recall fallback. Use when building data pipelines, RAG systems, or isolated dev/test data environments.
Skill Claude CodeCodex
Expert-level skill for building production-ready AI agents and agentic systems using the Agno framework. Covers agent architecture, multi-agent teams, AgentOS deployment, tool integration, RAG patterns, and production best practices.
Skill Claude CodeCodex
PostgreSQL RAG Data Ingestion and Retrieval Operations Tool - supports keyword search (BM25), vector search, and hybrid search.
john-walkoe/pinecone_assistant_mcp
Skill Claude CodeCodex
Delegation and answer evaluation workflows for the Pinecone Assistant. Uses assistantchat as a sub-agent (Pinecone handles retrieval and synthesis internally) and evaluateanswer to validate answer correctness and completeness against ground truth. Use when Claude's context window is the primary constraint or when…
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