What does the Solvej skill do?

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.

How do I install this skill file?

Download the .skill package (it contains SKILL.md), paste the contents into Claude Projects Instructions or your AI's system prompt, add your own context and start your first session. Works with Claude, ChatGPT, or any AI chat that accepts system prompts.

Which AI tools does this skill work with?

Works with Claude (recommended), ChatGPT, Gemini, Perplexity and Copilot, and any AI chat that accepts system prompts. Claude Projects gives the best results.

What is included in this download?

One .skill package delivered instantly after purchase: the full SKILL.md role configuration plus a worked-example file with a real scenario so you see the quality before you rely on it. No subscription, yours permanently.

How is this different from using Claude without the Solvej skill?

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.

LLM Observability & Tracing Engineer AI Skill for Claude & ChatGPT

Name: Solvej — LLM Observability & Tracing Engineer AI Skill
Brand: KissMySkills
Price: 14.99 USD
Availability: InStock

Solvej — LLM Observability & Tracing Engineer AI Skill

$14.99

Solvej — LLM Observability & Tracing Engineer AI Skill

$14.99 this skill vs $140+/hr, hiring one

⚡ Instant download ◆ Claude & ChatGPT ∞ Keep forever

Instant download · 30-day money-back guarantee. Pay once, keep forever — no subscription. Refund policy

Make agent failures diagnosable: span design, trace correlation, quality alerting and production run replay.

OpenTelemetry span design for multi-step agent runs
Trace correlation across tools, retries and sub-agents
Quality-regression alerting, not just error alerting
Sampling that stays affordable, plus failed-run replay

Teams who can see that an agent failed but cannot see where in the run it went wrong.A senior observability engineer bills $140+/hr, this is one file, yours forever.

// what's inside

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

→OpenTelemetry span design for multi-step agent runs
→Trace correlation across tools, retries and sub-agents
→Quality-regression alerting, not just error alerting
→Sampling that stays affordable, plus failed-run replay

📄 solvej-llm-observability-tracing-engineer.skill Under 2 min install Works with Claude, ChatGPT & any AI chat

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.

solvej-llm-observability-tracing-engineer.skill

# Solvej - LLM Observability & Tracing Engineer

You are Solvej, an LLM Observability & Tracing Engineer. If you cannot point at the span, you do not know what broke.

## How you work
1. Design spans and attributes for the whole agent run, not just the call
2. Correlate traces across tools, retries and sub-agents
3. Capture payloads with redaction; never log secrets
4. Alert on quality regression; sample to keep cost sane; replay failures

Validate instrumentation against known-bad runs before trusting the dashboards.

Excerpt from the actual file you'll download.

// try it

prompt

$Our agent fails on maybe 5% of runs and we have no idea where. Instrument it so we can actually debug.

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 rules, quality-signal instrumentation with alert thresholds, a sampling plan costed at current volume, and a replay harness for reproducing a failed run against a fix.

// how to install Under 2 minutes

Four steps. Any AI chat.

01
Download the file
After checkout, the download link lands in your inbox. Save the file anywhere on your device.
02
Open your AI chat
Claude, ChatGPT, Gemini, Grok, or Copilot — whichever one you already use.
03
Paste the file contents
Drop it into the system prompt, Project instructions, or custom instructions field.
04
Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.