RAG Architecture & Debugging
Design, diagnose, and optimize high-performance RAG systems with an engineering-first framework.
Get expert-level AI output in 30 seconds. Browse 2,000+ expert-built and security scanned skills -> Browse skills
THE AGENSI STORE
52 skills found
Design, diagnose, and optimize high-performance RAG systems with an engineering-first framework.
by Ryan lyell
A cognitive reasoning protocol and Markdown-based local memory system for high-stakes AI development and strategy.
Optimize your website's architecture and content to be discovered, indexed, and cited by AI agents and LLMs.
by Kaymue
Build production multi-agent systems. 12 patterns, 8 anti-patterns, debugging workflow, cost control. LangGraph + AutoGen + CrewAI.
by Corey Jacobs
Convert a repeatable workflow into a reusable agent skill or staged skillchain candidate.
by Kaymue
Diagnose broken RAG systems. 8 failure categories: chunking, embeddings, retrieval, reranking, hallucination. Recall@k measurement.
Architectural strategist that converts flat prompts into structured, multi-file ChatGPT Skill blueprints.
A retrieval architect that diagnoses why RAG returns confident-but-wrong answers, picks the right context architecture (RAG vs knowledge graph vs structured/temporal retrieval) instead of defaulting to vector search, and designs the institutional-memory schema embeddings throw away.
by RC V
Transform business ideas into deployment-ready autonomous company blueprints for multi-agent frameworks.
by SkillForge
Enforce senior-level architectural thinking by making your agent write a 5-line Design Note before coding.
Messy, insecure, unfixable — that's what AI builds without architecture. This file is the architecture: 10 years of senior judgement on rendering, caching, security and SEO, so your agent builds it right from day one.
by Al1as
Map the geometry of system failures to transform edge-case chaos into structured architectural governance.
by SkillForge
Force your AI agent to apply senior-level architectural judgment and design notes before writing any code.
by Shandra
Creates phased modernization plans for transforming monolithic applications into modular monoliths, service-oriented systems, or microservice-ready architectures without risky rewrites.
by Shandra
Designs controlled multi-agent workflows with clear roles, contracts, validation gates, approval steps, memory boundaries, audit trails, error handling, and fallback behavior.
by Shippers
Developers waste time re-explaining their project architecture, conventions, and decisions to AI coding agents in every
Turn a one-line job description into a production-ready, guarded, and tested AI agent scaffold.
by Shippers
Confirm the two-step submit
by Timoranjes
Transform your AI agent from a code generator into a senior architect that enforces clean design and SOLID principles.
by John Barros
Architect and scaffold implementation-ready, permission-bound voice desktop assistants.
by Echo Rose
Architecture Doc Pro - A Premium AI Agent Skill
by Shippers
A canonical eight-layer architectural stack and enforcement framework for building reliable autonomous agents.
Model quality is table stakes — the harness is where agents win or fail. This designs yours: it writes a structured, testable system prompt (role, tools, boundaries, method, output contract, failure handling) and maps every concern to the right layer — prompt, tool, guardrail, or evaluation — so the pieces reinforce each other instead of fighting.
by PromptWagon
Designs practical memory architectures for AI assistants, agents, copilots, automations, and workflows, including memory schemas, retention rules, update policies, retrieval keys, summary formats, privacy boundaries, conflict handling, user preference memory, project memory, task memory, and audit-ready memory governance notes for builders.