otel-collector
Expert guidance for configuring and deploying the OpenTelemetry Collector. Use when setting up a Collector pipeline, configuring receivers, exporters, or processors, deploying a Collector to Kubernetes or Docker, or forwarding telemetry to Dash0. Triggers on requests involving collector, pipeline, OTLP receiver, exporter, or Dash0 collector setup.
100
100%
Does it follow best practices?
Impact
100%
1.36xAverage score across 3 eval scenarios
Passed
No known issues
Quality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a strong skill description that clearly defines its scope around OpenTelemetry Collector configuration and deployment. It excels in all dimensions by listing concrete actions, providing natural trigger terms, explicitly stating both what and when, and carving out a distinct niche. The inclusion of both a 'Use when...' clause and a 'Triggers on' clause provides excellent guidance for skill selection.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: configuring Collector pipelines, configuring receivers/exporters/processors, deploying to Kubernetes or Docker, and forwarding telemetry to Dash0. These are concrete, actionable capabilities. | 3 / 3 |
Completeness | Clearly answers both 'what' (expert guidance for configuring and deploying the OpenTelemetry Collector) and 'when' (explicit 'Use when...' clause listing specific scenarios, plus a 'Triggers on' clause with keyword triggers). | 3 / 3 |
Trigger Term Quality | Includes strong natural keywords users would say: 'collector', 'pipeline', 'OTLP receiver', 'exporter', 'Kubernetes', 'Docker', 'Dash0', 'processors'. The explicit 'Triggers on' clause adds additional keyword coverage. These are terms a user would naturally use when needing this skill. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with a clear niche: OpenTelemetry Collector configuration and deployment, with specific mentions of Dash0, OTLP, and Collector pipelines. Unlikely to conflict with generic monitoring or observability skills due to the specificity of the domain terms. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is an exceptionally well-structured skill. It provides a complete, executable quick start configuration, clearly sequenced workflow with validation steps, and excellent progressive disclosure through well-organized rule references. The key principles section efficiently communicates non-obvious constraints that prevent common failures, and the dual navigation tables (Rules + Quick Reference) make it easy to find relevant detailed content.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient. It avoids explaining what OpenTelemetry is or how YAML works. Every section serves a purpose: key principles state non-obvious gotchas, the quick start is a complete minimal config, and the quick reference table is a dense lookup. No unnecessary padding. | 3 / 3 |
Actionability | The quick start provides a fully executable, copy-paste-ready YAML configuration. The configuration workflow includes a concrete validation command (`otelcol validate --config=config.yaml`) and a specific verification technique (debug exporter). Key principles give specific, actionable constraints (e.g., 'place memory_limiter first'). | 3 / 3 |
Workflow Clarity | The 4-step configuration workflow is clearly sequenced with explicit validation (step 2: validate locally) and verification (step 4: debug exporter). The key principles section serves as a pre-flight checklist covering common failure modes. The feedback loop of write → validate → deploy → verify is well-defined. | 3 / 3 |
Progressive Disclosure | Excellent progressive disclosure structure. The SKILL.md serves as a concise overview with a quick start config, then delegates all detailed content to clearly organized one-level-deep rule files. The Rules table and Quick Reference table provide two complementary navigation paths to the same underlying content. References are well-signaled and logically organized. | 3 / 3 |
Total | 12 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
- Repository
- dash0hq/agent-skills
- Commit
e73252a
- Reviewed
Table of Contents
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