o11y-dev/opentelemetry-skill
Expert OpenTelemetry guidance for collector configuration, pipeline design, and production telemetry instrumentation across Kubernetes, ECS, serverless, and standalone deployments. Use when configuring collectors, designing pipelines, instrumenting applications, implementing sampling, managing cardinality, securing telemetry, writing OTTL transformations, or setting up AI coding agent observability (Claude Code, Codex, Gemini CLI, GitHub Copilot).
94
98%
Does it follow best practices?
Impact
94%
1.34xAverage score across 18 eval scenarios
Passed
No known issues
index.mddocs/
OpenTelemetry Skill Tile Documentation
This document is the Tessl docs entrypoint for the tile. SKILL.md remains the cognitive router for agent behavior, while this index makes the bundled references, evaluation assets, and project guidance explicitly review-visible.
Reference bundles
These are the deep-dive documents that the skill loads on demand:
- AI agents
- Anti-patterns
- Architecture
- Collector
- Compatibility
- Connectors
- Instrumentation
- Monitoring
- OTTL
- Platforms
- Playbooks
- Sampling
- Security
- Validation
Evaluation surface
The authoritative Tessl-facing eval assets live in evals/. The tests/ documents are supporting methodology notes for the RED/GREEN/REFACTOR workflow.
Published eval assets
- Evals overview
- Core scenarios
- AI agent scenarios
- Production scenarios
- Collector memory limiter task
- Cardinality protection task
- Tail sampling setup task
- Claude Code telemetry task
Supporting test methodology
Project docs
.claude-plugin
.codex-plugin
.cursor-plugin
.github
scripts
docs
evals
scenario-1
scenario-2
scenario-3
scenario-4
scenario-5
scenario-6
scenario-7
scenario-8
scenario-9
scenario-10
scenario-11
scenario-12
scenario-13
scenario-14
scenario-15
scenario-16
scenario-17
scenario-18
references