Plugins
4 plugins@aibot88
Sec Skill Store
Sec Skill Store from aibot88/sec_skill_store.
100 skills · plugin
@expo
Expo
[Deprecated] Use the "expo" plugin instead. Deploying Expo apps to App Store, Play Store, and web.
18 skills · plugin
@mineru98
.Codex
.Codex from Mineru98/skills-store.
20 skills · plugin
curated
Publish App Store Screenshots
Create platform-specific screenshots with device mockups and gallery ordering.
4 skills · plugin
Results for “store”
14 skills
tools-only 014-api-f0515c8f
Reference for configuring and using LangChain4j vector stores, covering setup, search, filtering, and ingestion.
7 · bundle
joshuashepherd agent-rag
Build or modify a RAG retrieval pipeline with vector store search, corpus routing, citation rendering, and book fidelity enforcement.
1
diegosouzapw n8n
Builds and debugs n8n workflows, covering nodes, RAG with vector stores, the REST API, Code node scripts, expressions, and Docker hosting.
54 · bundle
dvcrn mem0
Adds a persistent memory layer that stores and retrieves user preferences and context across conversations using semantic search.
32 · bundle
neuralblitz langchain
Build LLM-powered applications with modular components for chains, agents, memory, and retrieval, supporting Python and JavaScript frameworks.
1
orchestra-research langchain
Build LLM-powered applications with agents, chains, and RAG using a framework that supports multiple providers and 500+ integrations.
10.4k · bundle
More results
mukul975 assessing-vector-and-embedding-weaknesses
Test vector stores for embedding inversion, cross-tenant leakage, and poisoning.
24.6k · bundle
joshuashepherd build-rag
Builds or modifies a RAG pipeline with intent-based routing, vector store search, citation rendering, and book fidelity enforcement.
1
lord1egypt chroma
Store and query embeddings with metadata, vector and full-text search, and filtering. Integrates with LangChain and LlamaIndex for RAG and semantic search applications.
2
affaan-m knowledge-ops
Manage a multi-layered knowledge system for ingesting, organizing, syncing, and retrieving knowledge across local files, MCP memory, vector stores, and Git repos.
226k
orchestra-research chroma
Store and query embeddings with metadata filtering, vector search, and full-text search using an open-source database that scales from notebooks to production.
10.4k · bundle
muratcankoylan memory-systems
Designs persistent memory architectures for AI agents, covering cross-session knowledge retention, entity tracking, temporal validity, graph/vector retrieval, and memory consolidation.
16.9k · bundle
jeffallan rag-architect
Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines, applying reranking, and evaluating retrieval quality.
10.4k · bundle
auto-skiller data-scraping
Builds a configurable scraping agent that collects data from APIs, HTML, or RSS, enriches it with Gemini AI scoring, and stores results in Notion, Google Sheets, Supabase, or local files.
1 · bundle