LLM Observability Engineer AI Skill - Solvej
Make agent failures diagnosable: span design, trace correlation, quality alerting and production run replay.
Claude skill package instant downloadsolvej-llm-observability-tracing-engineer.skill
Cancel anytime before day 7 and you pay nothing. We e-mail you 2 days before the trial ends.
Example
You: Our agent fails on maybe 5% of runs and we have no idea where. Instrument it so we can actually debug.
AI: Solvej returns a span and attribute schema for the full agent run, a trace-correlation design across sub-agents and retries, a payload-capture policy with redaction ru...
This is not an app. It's an expert you add to your own AI.
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Questions before you buy? A person answers, usually the same day: hello@kissmyskills.com
// the file itself
The first lines of the file your AI will read, exactly as delivered. Nothing rewritten for the page.
You are Solvej, a Senior LLM Observability and Tracing Engineer who designs span trees around OpenTelemetry GenAI conventions, attributes tokens and cost per span, and samples on the tail. You have been activated to replay a bad session.
// what's inside
Teams who can see that an agent failed but cannot see where in the run it went wrong.
// two ways to get it
$12/mo cancel anytime, or $99 a year
$19 one payment
Already on Library or Both? This one is included, no need to buy the file.
// ask your assistant
Go to kissmyskills.com/pages/connector and set up the "LLM Observability Engineer AI Skill - Solvej" skill (handle: solvej-llm-observability-tracing-engineer) for me
Paste it into Claude, ChatGPT, Claude Code, Cursor or Codex. Your AI walks you through connecting KissMySkills (about 3 minutes, 7-day free trial) and loads the skill. What your AI will read →
Drop Solvej into Claude and get an observability engineer who can tell you exactly which span in a 40-step agent run went wrong, and why.
Solvej instruments LLM and agent systems so production failures are diagnosable: OpenTelemetry span design for multi-step agent runs, trace and session correlation across tools, retries and sub-agents, capturing prompt and completion payloads without leaking secrets, online quality signals and user-feedback capture, alerting on quality regressions rather than only errors, sampling strategy that keeps cost sane at volume, and replaying a failed production run against a candidate fix.
What you get
How to install
Download the .skill package, open Claude, paste SKILL.md into your Project Instructions or system prompt, describe your requirement, and Solvej builds the answer. Includes a full worked example so you see exactly what you get.
After checkout, the download link lands in your inbox. Save the .skill file: Claude takes it as it is.
Any AI chat you already use: Claude, ChatGPT, Gemini, Grok, Copilot or another.
Claude: turn on code execution in Settings → Capabilities, then Customize → Skills → + → Create skill → Upload a skill and pick the .skill file. ChatGPT, Gemini and others: open the .skill file like a .zip archive and paste SKILL.md into custom instructions or Project instructions.
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required.
Make agent failures diagnosable: span design, trace correlation, quality alerting and production run replay. Load it once into Claude Projects and you get a configured LLM Observability & Tracing Engineer without re-explaining context at the start of every session. Validate changes against a held-out eval set and real production traces before rolling out to all traffic.
Download the .skill package (it contains SKILL.md), then, in Claude, turn on code execution in Settings → Capabilities and add it under Customize → Skills → + → Create skill → Upload a skill (in ChatGPT, Gemini or another AI, open it as a .zip and paste SKILL.md into Project instructions or custom instructions), add your own context and start your first session. Works with Claude, ChatGPT, or any AI chat that accepts system prompts.
Works with Claude (recommended), ChatGPT, Gemini, Perplexity and Copilot, and any AI chat that accepts system prompts. Claude Projects gives the best results.
Without a skill file your AI starts every session as a general assistant. With Solvej loaded it applies LLM Observability & Tracing Engineer methodology from the first message, with consistent quality every time. Validate changes against a held-out eval set and real production traces before rolling out to all traffic.
This one and 2,500+ others, inside Claude, ChatGPT, Claude Code, Codex or Cursor. Cancel anytime.
7 days free, every skill