Plugins
12 plugins@mukul975-2
Privacy Data Protection Skills
Privacy Data Protection Skills from mukul975/Privacy-Data-Protection-Skills.
100 skills · plugin
@snoodleboot-io
Prompticorn
Prompticorn from snoodleboot-io/prompticorn.
2 skills · plugin
@klotzkette
Produktrecht
Produkthaftung und Produktrecht: Produktsicherheit, GPSR, ProdHaftG, deliktische Produzentenhaftung, Right to Repair, Software-/OTA-Updates, digitale Produktlebenszyklen, Rückruf, Marktüberwachung und Launch-Review.
3 skills · plugin
curated
Planning & Product
PRDs, roadmaps, OKRs, discovery and product strategy.
23 skills · plugin
curated
Product Idea to PRD
For product managers to structure and validate a new product concept.
11 skills · plugin
@deanpeters
Product Manager Skills
Product Manager Skills from deanpeters/Product-Manager-Skills.
56 skills · plugin
@concertonotes
Praxis
Praxis from ConcertoNotes/codex-plugins.
7 skills · plugin
@alirezarezvani
Product Team
13 product skills with 17 Python tools: product manager toolkit (RICE, PRDs), agile product owner, product strategist, UX researcher, UI design system, competitive teardown, landing page generator, SaaS scaffolder, product analytics, experiment designer, product discovery, roadmap communicator, code-to-prd, research summarizer, apple-hig-expert.
10 skills · plugin
curated
Launch on Product Hunt
Launch a product on Product Hunt by researching, preparing assets, and executing the launch playbook.
3 skills · plugin
@amplifthq
Presets
Presets from amplifthq/oh-my-dsh.
4 skills · plugin
@phuryn
Execution
Execution and product management skills: PRDs, OKRs, roadmaps, sprints, pre-mortems, stakeholder maps, user stories, prioritization frameworks, and more.
16 skills · plugin
curated
Prediction Market Arbitrage
Compare Polymarket probabilities with options-implied probabilities to find arbitrage opportunities.
4 skills · plugin
Results for “pr”
48 skills
mukul975 Testing Prompt Injection In RAG Pipelines
Probe RAG applications for prompt injection via poisoned retrieved context and embedding manipulation.
24.6k · bundle
antigravity AI Product
Guides building production-grade AI features with LLM integration patterns, RAG architecture, prompt engineering, and cost optimization.
42.4k
k-dense-ai Torchdrug
Build and train graph neural networks for drug discovery, protein modeling, and molecular science using PyTorch-native tools.
30.2k · bundle
orchestra-research Dspy
Build complex AI systems with declarative programming, optimize prompts automatically, and create modular RAG systems and agents using Stanford NLP's DSPy framework.
10.4k · bundle
antigravity AI Engineer
Build production-ready LLM applications, advanced RAG systems, and intelligent agents with vector search, multimodal AI, and enterprise integrations.
42.4k
nimoqup046-collab LLM Ops
Guides production AI systems: RAG pipelines, embeddings, vector databases, fine-tuning, prompt engineering, cost estimation, quality evals, and caching.
2
More results
jorcan LLM Ops
Guides production LLM operations: RAG pipelines, embeddings, vector databases, fine-tuning, prompt engineering, cost estimation, quality evals, and AI architectures.
0 · bundle
orchestra-research Pinecone
Provides code examples and best practices for using Pinecone, a managed vector database for production RAG, recommendation, and semantic search applications.
10.4k · bundle
lucaspmarie-a11y LLM Ops
Provides guidance on production AI operations including RAG pipelines, vector databases, embeddings, fine-tuning, prompt engineering, cost estimation, and quality evaluation.
5
phoroth LLM Ops
Implements production LLM operations: RAG pipelines, embeddings, vector databases, fine-tuning, advanced prompt engineering, cost estimation, quality evals, semantic caching, streaming, and agents.
3
antigravity LLM Ops
Provides guidance and code for production AI workflows including RAG pipelines, vector databases, embedding indexing, prompt engineering, cost estimation, semantic caching, and quality evaluation.
42.4k
orchestra-research Ml Training Recipes
Provides battle-tested PyTorch training recipes for LLMs, vision, diffusion, and biomedical domains, covering training loops, optimizer selection, LR scheduling, mixed precision, and debugging.
10.4k · bundle
affaan-m Iterative Retrieval
Progressively refines context retrieval in multi-agent workflows to solve the subagent context problem.
226k
rootcastleco AI Engineer
Build production-ready LLM applications, RAG systems, and intelligent agents with architecture design, model selection, and cost controls.
6
oyi77 Zvec
Provides guidance on using the ZVec in-process vector database for efficient similarity search and embedding storage in agent memory systems.
10
nvidia RAG Perf
Run config-driven performance benchmarks against a deployed NVIDIA RAG Blueprint server, including profiling and load testing, with a unified report.
2.2k · bundle
github Mini Context Graph
Build a persistent, compounding knowledge base that combines a wiki, knowledge graph, and raw source storage for structured retrieval with provenance.
36.2k · bundle
k-dense-ai Deepchem
Predict molecular properties, train graph neural networks, and run drug discovery workflows using DeepChem's featurizers, models, and MoleculeNet benchmarks.
30.2k · bundle
auto-skiller Pyragify
Converts code repositories and document directories into semantically-chunked text files optimized for NotebookLM ingestion, with support for config files and incremental processing.
1 · bundle
mariadb-corporation Mariadb Vector
Provides best practices for using MariaDB's built-in vector support for AI workloads, including SQL syntax for vector columns, indexes, distance functions, and RAG patterns.
0
microsoft Azure AI Document Intelligence Dotnet
Extract text, tables, and structured data from documents using Azure AI Document Intelligence SDK for .NET, with support for prebuilt and custom models.
2.7k
dvcrn Mem0
Adds a persistent memory layer that stores and retrieves user preferences and context across conversations using semantic search.
32 · bundle
github Pinecone RAG
Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend.
36.2k
scoheart Tavily Best Practices
Reference for building Tavily-powered search, extraction, crawling, and research into agentic workflows and RAG systems.
2 · bundle
neuralblitz Langchain
Build LLM-powered applications with modular components for chains, agents, memory, and retrieval, supporting Python and JavaScript frameworks.
1
alirezarezvani RAG Architect
Design, tune, and evaluate production RAG pipelines with deterministic tools for chunking, pipeline design, and retrieval evaluation.
20.4k · bundle
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
goldentrii Agent Recall
Provides persistent, compounding memory for AI agents across sessions using local markdown files, with optional Supabase-backed semantic search.
365 · bundle
github Qdrant Search Quality Diagnosis
Diagnoses Qdrant search quality issues by isolating causes like HNSW approximation, quantization, embedding model, or search pipeline problems.
36.2k
joshuashepherd Book Chunk
Chunks a book into canonical retrieval units with heading-aware structure splitting, recursive token targets, and contextual prefixes for downstream RAG ingestion.
1
neuralblitz Embeddings
Explains dense vector embeddings, their key concepts, common use cases, and best practices for semantic search and RAG applications.
1
demerzels-lab Mycroft
Ingests EPUB and ebook files into a local vector index and provides a command-line interface for asking questions about the books.
10 · bundle
zero-yx Article Bilingual Translation Publisher
Translates a Chinese article into English Markdown, generates bilingual detailed summaries, and writes the results back to LanceDB while preserving structure.
0 · bundle
k-dense-ai Liteparse
Parse PDFs, Office files, and images locally with layout-preserved text, bounding boxes, OCR, and page screenshots for RAG and multimodal agents.
30.2k · bundle
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
microsoft Azure AI Document Intelligence TS
Extract text, tables, and structured data from documents using Azure Document Intelligence. Process invoices, receipts, IDs, forms, or build custom document models.
2.7k