183-java-observability-tracing-opentelemetry
Skill452 starsChanged 3 months agoApache-2.0View on GitHub
Use when you need to implement or improve distributed tracing with OpenTelemetry in Java — including trace/span modeling, context propagation, semantic conventions, span attributes/events/status, sampling strategy, baggage usage, privacy safeguards, and backend integration with OTLP collectors. This should trigger for requests such as Improve tracing; Apply OpenTelemetry tracing; Add distributed tracing; Refactor tracing instrumentation; Instrument Java services with OpenTelemetry spans. Part of Plinth Toolkit
We split this skill into the rules it gives an agent
6 rules. About 0 are common, 5 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈5
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 30
PROPAGATION FIRST: Ensure context propagation across all sync/async boundaries before adding extra span detail
- Distinctive: line 31
NO SENSITIVE DATA: Never store secrets, credentials, tokens, raw payloads, or PII in span attributes/events
- Distinctive: line 32
LOW CARDINALITY ATTRIBUTES: Avoid unbounded values in attributes that are used for aggregation/search
- Very specific: line 33
VERIFY: Run ./mvnw clean verify or mvn clean verify after applying tracing changes
- Distinctive: line 51
Add OpenTelemetry spans to key boundaries and ensure trace context is propagated across HTTP clients/servers, messaging, and executor-based …
- Distinctive: line 59
Verify parent-child relationships, propagation continuity, and backend visibility through tests and runtime checks.
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Java Distributed Tracing with OpenTelemetry
Implement robust distributed tracing in Java with OpenTelemetry by modeling meaningful spans, preserving context propagation, and instrumenting critical business and infrastructure paths with low-overhead, privacy-safe telemetry.
What is covered in this Skill?
- OpenTelemetry tracing fundamentals for Java services
- Span design: boundaries, parent/child relationships, and operation naming
- Context propagation across HTTP, messaging, async tasks, and thread boundaries
- Semantic conventions and stable attribute naming
- Error/status/event recording best practices
- Sampling strategy and performance/cost trade-offs
- Privacy and security controls for trace attributes
- Testing and verification of trace propagation and span correctness
Scope: Distributed tracing quality in application and integration layers, focused on diagnosability, consistency, and operational safety.
Constraints
Tracing instrumentation must preserve context correctly and avoid leaking sensitive data. Over-instrumentation and high-cardinality attributes can harm cost and signal quality.
- PROPAGATION FIRST: Ensure context propagation across all sync/async boundaries before adding extra span detail
- NO SENSITIVE DATA: Never store secrets, credentials, tokens, raw payloads, or PII in span attributes/events
- LOW CARDINALITY ATTRIBUTES: Avoid unbounded values in attributes that are used for aggregation/search
- VERIFY: Run
./mvnw clean verifyormvn clean verifyafter applying tracing changes
When to use this skill
- Improve tracing
- Apply OpenTelemetry tracing
- Add distributed tracing
- Refactor tracing instrumentation
- Instrument Java services with OpenTelemetry spans
Workflow
- Define trace model and critical flows
Identify high-value request and async flows, define operation boundaries, and choose span names/attributes aligned with semantic conventions.
- Instrument and propagate context
Add OpenTelemetry spans to key boundaries and ensure trace context is propagated across HTTP clients/servers, messaging, and executor-based async work.
- Harden span data and sampling
Record status/errors/events consistently, remove sensitive data, control attribute cardinality, and configure sampling/exporters according to environment needs.
- Validate traces end-to-end
Verify parent-child relationships, propagation continuity, and backend visibility through tests and runtime checks.
Reference
For detailed guidance, examples, and constraints, see references/183-java-observability-tracing-opentelemetry.md.
Other versions1 project uses a version of this.
Word for word · 1
- jabrena/plinth★ 448100% same
Edited · 0
None found.
Wrote their own version · 0
None found.
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 repository124 other files it gives its agents.
- AGENTS.mdAGENTS.md
- 001-commands-inventorySkill
- 002-agents-inventorySkill
- 003-skills-inventorySkill
- 004-commands-installationSkill
- 005-agents-installationSkill
- 012-agile-epicSkill
- 013-agile-featureSkill
- 014-agile-user-storySkill
- 021-problem-framingSkill
- 022-root-cause-analysisSkill
- 023-assumption-analysisSkill
- 024-context-mappingSkill
- 025-quality-attribute-discoverySkill
- 030-architecture-adr-generalSkill
- 033-architecture-diagramsSkill
- 041-planning-plan-modeSkill
- 042-planning-openspecSkill
- 043-planning-github-issuesSkill
- 044-planning-jiraSkill
- 045-planning-azure-devopsSkill
- 051-design-two-steps-methodsSkill
- 052-design-hamburger-methodSkill
- 053-design-simple-rulesSkill
- 054-design-tddSkill
- 055-design-parallel-changeSkill
- 056-design-avoid-breaking-changesSkill
- 057-design-feature-togglesSkill
- 058-design-bddSkill
- 059-design-atddSkill
- 110-java-maven-best-practicesSkill
- 111-java-maven-dependenciesSkill
- 112-java-maven-pluginsSkill
- 113-java-maven-documentationSkill
- 114-java-maven-searchSkill
- 121-java-object-oriented-designSkill
- 122-java-type-designSkill
- 123-java-design-patternsSkill
- 124-java-secure-codingSkill
- 125-java-concurrencySkill
- 126-java-exception-handlingSkill
- 128-java-genericsSkill
- 130-java-testing-strategiesSkill
- 131-java-testing-unit-testingSkill
- 132-java-testing-integration-testingSkill
- 133-java-testing-acceptance-testsSkill
- 141-java-refactoring-with-modern-featuresSkill
- 142-java-functional-programmingSkill
- 143-java-functional-exception-handlingSkill
- 144-java-data-oriented-programmingSkill
- 145-java-refactoring-high-performanceSkill
- 151-java-performance-jmeterSkill
- 152-java-performance-gatlingSkill
- 161-java-profiling-detectSkill
- 162-java-profiling-analyzeSkill
- 163-java-profiling-refactorSkill
- 164-java-profiling-verifySkill
- 170-java-documentationSkill
- 181-java-observability-loggingSkill
- 182-java-observability-metrics-micrometerSkill
- The first 60 shown.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

