llmobs-integration
This skill should be used when the user asks to "add LLMObs support", "create an LLMObs plugin", "instrument an LLM library", "add LLM Observability", "add llmobs", "add llm observability", "instrument chat completions", "instrument streaming", "instrument embeddings", "instrument agent runs", "instrument orchestration", "instrument LLM", "LLMObsPlugin", "LlmObsPlugin", "getLLMObsSpanRegisterOptions", "setLLMObsTags", "tagLLMIO", "tagEmbeddingIO", "tagRetrievalIO", "tagTextIO", "tagMetrics", "tagMetadata", "tagSpanTags", "tagPrompt", "LlmObsCategory", "LlmObsSpanKind", "span kind llm", "span kind workflow", "span kind agent", "span kind embedding", "span kind tool", "span kind retrieval", "openai llmobs", "anthropic llmobs", "genai llmobs", "google llmobs", "langchain llmobs", "langgraph llmobs", "ai-sdk llmobs", "llm span", "llmobs span event", "model provider", "model name", "CompositePlugin llmobs", "llmobs tracing", "VCR cassettes", or needs to build, modify, or debug an LLMObs plugin for any LLM library in dd-trace-js.
Quality
Discovery
SkippedBased on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
Implementation
SkippedReviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
description_field | 'description' must be 1-1024 characters, got 1040 | Fail |
Total | 10 / 11 Failed | |
- Repository
- DataDog/dd-trace-js
- Commit
50aa025
- Reviewed
Table of Contents
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.