otel-semantic-conventions
Skill99 starsChanged 13 days agoApache-2.0View on GitHub
OpenTelemetry Semantic Conventions expert. Use when selecting, applying, or reviewing telemetry attributes. Triggers on tasks involving attribute selection, semantic convention compliance, attribute migration, or custom attribute decisions. Covers the attribute registry, naming patterns, attribute placement, and versioning. For span names, span kinds, and span status codes, see the otel-instrumentation skill.
2 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- ollygarden/opentelemetry-agent-skillstheir own version, first seen Jul 13, 2026
- osabiohq/osabioedited, first seen Mar 25, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 1
- osabiohq/osabio★ 1535% same
Wrote their own version · 1
- ollygarden/opentelemetry-agent-skills★ 125same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository4 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- otel-collectorSkill
- otel-instrumentationSkill
- otel-ottlSkill
The file
Files
OpenTelemetry Semantic Conventions
This skill governs correct selection, placement, and validation of telemetry attributes and metric instruments according to the OpenTelemetry Semantic Conventions specification. For span naming, span kinds, and span status codes, see the otel-instrumentation skill.
The Attribute Registry is the single source of truth for all defined attributes.
Rules
| Rule | Description | Use Case |
| attributes | Attribute registry, selection, placement, common attributes by domain | Choosing or reviewing attributes; HTTP/DB/messaging/RPC attributes; attribute placement (resource vs span) |
| versioning | Semconv versioning, stability, migration | Semconv version migration |
| dash0 | Dash0 derived attributes and feature dependencies | Dash0 derived attributes |
Official documentation
- Attribute Registry
- Semantic Conventions Specification
- Semantic Conventions Repository
- Dash0 Semantic Conventions
- Dash0 Semantic Conventions Explainer
How to select the right attribute
- Search the registry first — Look up the concept in the Attribute Registry. Use the standard name if it exists (e.g., prefer
http.request.methodover a customcustom.http.verb). Custom names fragment querying and break tooling — only create a custom attribute when no registry entry covers the concept. - Check stability — Prefer
stableattributes; note anyexperimentalattributes that may change. See versioning. - Place at the correct level — Resource attributes describe the entity producing telemetry; span/log attributes describe the individual operation. Do not duplicate across levels. Once an attribute is at a given level, keep it there consistently across all services.
- Verify cardinality — Metric attribute values must be low-cardinality (bounded set). Variable data (user IDs, request paths with parameters) belongs in span attributes, not metric attributes.
- Custom attribute as last resort — Only create a custom attribute if no registry entry covers the concept. Document the decision and follow the
org.namespace.attribute_namenaming pattern.
Example: correct vs incorrect attribute selection
<!-- eval:skip --># Correct — uses registry attribute for HTTP method
span.set_attribute("http.request.method", "GET")
# Incorrect — invents a custom attribute for a concept already in the registry
span.set_attribute("custom.http.verb", "GET")Example: resource vs span attribute placement
<!-- eval:skip --># Correct — service identity is a resource attribute
resource = Resource({"service.name": "checkout-service", "service.version": "2.1.0"})
# Correct — operation-specific data is a span attribute
span.set_attribute("http.request.method", "POST")
span.set_attribute("http.response.status_code", 201)
# Incorrect — placing a resource-level attribute on every span
span.set_attribute("service.name", "checkout-service") # belongs on the resourceExample: cardinality violation in metric attributes
<!-- eval:skip --># Correct — metric attribute uses a bounded, low-cardinality value
histogram.record(duration_ms, {"http.request.method": "GET", "http.response.status_code": 200})
# Incorrect — unbounded values as metric attributes explode storage and query cost
histogram.record(duration_ms, {"user.id": "u-839201", "url.path": "/orders/839201"})
# Fix: move high-cardinality values to span attributes instead
span.set_attribute("user.id", "u-839201")
span.set_attribute("url.path", "/orders/839201")Does it work?
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