AI agent dev stack (LangGraph + LangSmith)
Install a skill or read the field note below to see how we apply this pattern in real Claude Code projects.
For building, debugging, and evaluating multi-step LLM agents. The skills that catch the problems traces-first: cache misses, regression in eval scores, trace forensics. Run this command to install a skill and start from a working baseline instead of rebuilding the setup from scratch.
Files this command writes (4 files)
.claude/skills/stack-ai-agent/SKILL.md← artifact/SKILL.md.claude/skills/analyse-langsmith-trace/SKILL.md← artifact/skills/analyse-langsmith-trace/SKILL.md.claude/skills/debug-prompt-caching/SKILL.md← artifact/skills/debug-prompt-caching/SKILL.md.claude/skills/benchmark/SKILL.md← artifact/skills/benchmark/SKILL.md
AI agent dev stack installed. Pair with `stack-fullstack` if the agent is part of a full product surface.
AI agent dev stack (LangGraph + LangSmith)
For building, debugging, and evaluating multi-step LLM agents. The skills that catch the problems traces-first: cache misses, regression in eval scores, trace forensics.
One line
npx -y frenxt-cables stack stack-ai-agent --force
What it installs
Claude plugins (4):
superpowers. Systematic debugging, TDD, verification disciplineclaude-md-management. Keep the agent project's CLAUDE.md currentvercel. AI SDK, AI Gateway routing, Workflow DevKit for durable runs, Sandbox for untrusted codesentry. AI agent monitoring (LLM call tracing, token cost, latency)
Skills:
analyse-langsmith-trace. Paste a LangSmith URL, get a structured triagedebug-prompt-caching. Forensics on cache misses and cost spikesbenchmark. Run LangGraph benchmarks, read traces manually
When to use this
New agent project where traces and evals will be your day-two tools. Works alongside stack-fullstack if the agent is part of a larger product.
When not
Pure UI work → stack-ux. Full product surface → layer stack-fullstack on top.
Quick answers
What do I get from this cable?
You get a skill plus a dated field note that explains how we use it in real Claude Code workflows.
How much time should I budget?
Typical effort is 5 min. The cable is marked intermediate.
How do I install the artifact?
Run npx frenxt-cables add stack-ai-agent. The install block shows the files it writes and any prerequisites before you run it.
How fresh is the guidance?
The cable is explicitly last verified on 2026-04-18, and includes source links for traceability.
Work with FRE|Nxt
We build the production AI systems we write about.
Cables are the field notes. The playbooks come from client engagements — multi-agent systems, RAG pipelines, and LLM cost cuts that ship and hold up in production. If something here maps to a problem on your roadmap, two ways in:
Audit capacity: 5 slots/month · No pitch deck · NDA on request
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