MCP servers and skills: search, filter by where they run, and compare.
Nothing matches every word exactly, so these are the closest matches.
22 composable, auto-triggering skills engineering documentation skills covering the complete software lifecycle: spec, feasibility, architecture, design, API, database, ADR, security, deployment, oper
SkillMIT★ 6No key
Claude skill turning a coding agent into a Solana on-chain data analyst: Dune and Flipside SQL, IDL and log decoding, holder and forensics analysis.
SkillMIT★ 3Few starsNo key
Knowledge marketplace where AI agents autonomously buy human expertise
Node.jsMIT★ 3Few starsNeeds a key
Runnable AI engineering modules: agents, MCP, memory, RAG, voice, fine-tuning, MLOps, and security. One folder per module.
SkillMIT★ 9No key
My complete journey to becoming an Agentic AI Engineer through structured learning, projects, experiments, and production-ready implementations of modern AI systems.
SkillMIT★ 19No key
Zero-dependency Solana payment gateway middleware for micro-metered APIs. Implements RFC 9110 HTTP 402 with <5ms Ed25519 off-chain voucher verification, append-only PostgreSQL audit ledgers, and pure-
Node.jsApache-2.0Few starsNo key
AI Engineering Specially Topics- Agentic AI & GenAI Explanation
SkillApache-2.0★ 158No key
Save thousands of lines of code by building universal, domain-agnostic Multi-Agent Systems (MAS) through high-level semantic orchestration. This repository provides a production-ready blueprint for th
SkillMIT★ 290No key
🧠 Stop building AI that forgets. Master MCP (Model Context Protocol) with production-ready semantic memory, hybrid RAG, and the WARNERCO Schematica teaching app. FastMCP + LangGraph + Vector/Graph st
SkillMIT★ 27No key
Write or rewrite architecture subsystem docs, ADRs, and reference material for the engineering team. Use when creating, updating, or reviewing docs under docs/architecture docs/, or when the user asks
OfficialSkillApache-2.0★ 48k in collectionNo key
Audits Python + BigQuery pipelines for cost safety, idempotency, and production readiness. Returns a structured report with exact patch locations.
OfficialSkillMIT★ 40k in collectionNo key
Guides Qdrant monitoring and observability setup. Use when someone asks 'how to monitor Qdrant', 'what metrics to track', 'is Qdrant healthy', 'optimizer stuck', 'why is memory growing', 'requests are
OfficialSkillMIT★ 40k in collectionNo key
Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or
OfficialSkillMIT★ 40k in collectionNo key
Guides Qdrant query volume scaling. Use when someone asks 'query returns too many results', 'scroll performance', 'large limit values', 'paginating search results', 'fetching many vectors', or 'high c
OfficialSkillMIT★ 40k in collectionNo key
Different techniques to optimize the performance of Qdrant, including indexing strategies, query optimization, and hardware considerations. Use when you want to improve the speed and efficiency of you
OfficialSkillMIT★ 40k in collectionNo key
Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend. ALWAYS USE THIS SKILL when the user mentions Pinecone, wants to index documents for semantic s
OfficialSkillApache-2.0★ 40k in collectionNo key
Guides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput', 'cluster is slow', 'too many tenants', 'vertical or horizonta
OfficialSkillMIT★ 40k in collectionNo key
Guidance on how to upgrade your Qdrant version without interrupting the availability of your application and ensuring data integrity.
OfficialSkillMIT★ 40k in collectionNo key
Qdrant provides client SDKs for various programming languages, allowing easy integration with Qdrant deployments.
OfficialSkillMIT★ 40k in collectionNo key
Guides Qdrant data volume scaling decisions. Use when someone asks 'data doesn't fit on one node', 'too much data', 'need more storage', 'vertical or horizontal scaling', 'tenant scaling', 'time windo
OfficialSkillMIT★ 40k in collectionNo key
Creates structured bug reports for defects found during Oracle-to-PostgreSQL migration. Use when documenting behavioral differences between Oracle and PostgreSQL as actionable bug reports with severit
OfficialSkillMIT★ 40k in collectionNo key
Guides Qdrant query latency optimization. Use when someone asks 'search is slow', 'how to reduce latency', 'p99 is too high', 'tail latency', 'single query too slow', 'how to make search faster', or '
OfficialSkillMIT★ 40k in collectionNo key
Guides Qdrant multi-tenant scaling. Use when someone asks 'how to scale tenants', 'one collection per tenant?', 'tenant isolation', 'dedicated shards', or reports tenant performance issues. Also use w
OfficialSkillMIT★ 40k in collectionNo key
Creates an integration testing plan for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Analyzes a single project to identify repositories, DAOs, and service layers that in
OfficialSkillMIT★ 40k in collectionNo key
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