RAG Architecture & Debugging
Design, diagnose, and optimize high-performance RAG systems with an engineering-first framework.
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44 skills found
Design, diagnose, and optimize high-performance RAG systems with an engineering-first framework.
Turn an error, stack trace, and logs into a structured root-cause diagnosis — reconstructed failure, ranked hypotheses with evidence, the most likely cause, and the cheapest next diagnostic or fix. The disciplined pass a senior engineer runs, instead of scattershot guess-and-check.
by Samuel Rose
Diagnoses why your project will not start. Checks runtime versions, dependencies, environment variables, databases, ports, and build artifacts systematically.
by Shippers
Systematic runtime bug detection and automated patching for Firebase, Next.js, and Vercel stacks.
by Shandra
Transforms vague coding requests into precise, scoped, testable, AI-ready prompts for Cursor, Claude Code, Codex CLI, Replit, and other coding agents.
by Roy Yuen
Eliminate hallucinations with an evidence-first verification framework for system state, configs, and file contents.
by 王晓菲
A systematic 4-phase debugging framework to find root causes, eliminate flaky tests, and prevent regressions.
by Roy Yuen
Operational SOP for debugging, repairing, and maintaining Telegram-to-OpenCode bridge bots and persisted sessions.
by Roy Yuen
Audit and de-conflict complex agent instruction stacks to fix inconsistent behavior and logic bloat.
A rigorous 5-phase debugging framework to systematically reproduce, isolate, and resolve complex software bugs.
by Shippers
Instantly diagnose and fix why your AI agent skills aren't triggering when they should.
Fix the 'it works on my machine' problem before you touch the code. Diagnoses local setup failures across Node, Python, Go, and Docker: missing dependencies, broken env vars, port conflicts, stale installs, and 'why won't this run?' sludge, then hands you copy-paste bash fixes.
by Kaymue
Diagnose broken RAG systems. 8 failure categories: chunking, embeddings, retrieval, reranking, hallucination. Recall@k measurement.
by Kaymue
Build production multi-agent systems. 12 patterns, 8 anti-patterns, debugging workflow, cost control. LangGraph + AutoGen + CrewAI.
by Corey Jacobs
This skill allows for focused tool trace receipts to help debug and fine tune Agents
by Shippers
verify honest detection
by Roy Yuen
Turn your AI agent into a senior engineer with strict task classification and verification-driven coding protocols.
Stop guessing and start solving with hypothesis-driven debugging for complex, intermittent, and production-only bugs.
by Timoranjes
Automatically triage test failures, detect cascading root causes, and get prioritized fix suggestions across 10+ languages.
by DesignBureau
Stop guessing at bugs. A 4-phase method that makes you find root cause before touching the code. Takes debugging from hours to minutes. Works in any language, with any AI agent.