Skill issue: Lessons from skilling up coding agents to use Langfuse - Marc Klingen, Clickhouse

AI Engineer · Advanced ·🤖 AI Agents & Automation ·3h ago
Without a skill, Claude Code adds Langfuse using stale pre-training context, ships broken instrumentation, then catches the failure and fetches current docs to fix it. The resulting trace captures two LLM calls with no visibility into what the agent actually did. Marc Klingen covers the six learnings from building a skill to close that gap: surfacing a natural language search endpoint so agents stop crawling 478 documentation pages, why pointing to references beats duplicating content, and what happened when they ran an auto-research loop on the skill itself. Three of six suggested improvements shipped, but their target function nearly backfired by optimizing out the documentation-fetching steps that make the skill reliable over time. Speaker info: - https://x.com/marcklingen - https://www.linkedin.com/in/marcklingen/
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Up next
I gave my Hermes Agent a phone number (it’s crazy)
David Ondrej
Watch →