Agent skill

Production Observability

by rrezartprebreza in rrezartprebreza/spring-boot-skills

A skill your agent uses when adding service-wide Spring Boot 4 Actuator, Micrometer Observation and Tracing, OpenTelemetry or OTLP export, structured logging, health probes, dashboards, or alerts.

MITAuto-check passedDevOps & Cloud

Install Production Observability

skills CLI
$ npx skills add rrezartprebreza/spring-boot-skills --skill production-observability -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install rrezartprebreza/spring-boot-skills production-observability --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/rrezartprebreza/spring-boot-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/spring-boot-4/production-observability .claude/skills/production-observability && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
production-observability
GitHub stars
301
Token cost
~769 tokens
SKILL.md length
302 words
Files
5
Skills in repo
51
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when adding service-wide Spring Boot 4 Actuator, Micrometer Observation and Tracing, OpenTelemetry or OTLP export, structured logging, health probes, dashboards, or alerts.

  • Adding service-wide Spring Boot 4 Actuator
  • SKILL.md covers Baseline, Observation conventions, Health and readiness and Logging and alerts, plus 3 more sections
  • Runs Java scripts from its folder
  • Micrometer Observation and Tracing

What it does

Production Observability is an agent skill from rrezartprebreza/spring-boot-skills. Use when adding service-wide Spring Boot 4 Actuator, Micrometer Observation and Tracing, OpenTelemetry or OTLP export, structured logging, health probes, dashboards, or alerts. Combine with ai-observability only for Spring AI-specific token, prompt, and model telemetry.

Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files (for example `agents/openai.yaml` and `examples/good-observability.yml`).

It sits in DevOps & Cloud, covering Observability and Backend development. It works with OpenTelemetry and Spring Boot. The repository describes itself as: Production-grade Claude Code and Codex skills for Spring Boot developers. The licence is MIT.

When your agent uses it

  • Adding service-wide Spring Boot 4 Actuator
  • Micrometer Observation and Tracing
  • Structured logging

Example prompts

  • “/production-observability”

What it can do on your machine

Read from SKILL.md and the folder at commit f0c06a0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Java), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • docs.spring.io

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Production Observability loads about 769 tokens when it runs. Until then it costs about 74 tokens; SKILL.md has 302 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~74
When it runs · the whole SKILL.md, loaded when a task matches
~769

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from rrezartprebreza/spring-boot-skills at commit f0c06a0, republished under its MIT licence (© rrezartprebreza). 302 words, ~769 tokens.

Download SKILL.mdSave it as .claude/skills/production-observability/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
production-observability
description
Use when adding service-wide Spring Boot 4 Actuator, Micrometer Observation and Tracing, OpenTelemetry or OTLP export, structured logging, health probes, dashboards, or alerts. Combine with ai-observability only for Spring AI-specific token, prompt, and model telemetry.

Production Observability

Instrument user-visible operations and operational boundaries, not every method.

Baseline

  • Add the Boot 4 Actuator starter and one metrics registry selected by the platform.
  • For OpenTelemetry tracing over OTLP, use spring-boot-starter-opentelemetry and Boot's management.opentelemetry.tracing.export.otlp.* properties.
  • Use Micrometer Observation for application metrics and traces.
  • Prefer Micrometer APIs over direct OpenTelemetry APIs in application code.
  • Export metrics and traces through OTLP when an OpenTelemetry collector is the platform boundary.
  • Expose only required actuator endpoints and secure non-public endpoints.

Observation conventions

  • Name observations by stable operation, such as orders.create.
  • Use low-cardinality key values for metrics and high-cardinality values only for traces.
  • Never tag metrics with user IDs, entity IDs, URLs containing IDs, or exception messages.
  • Register a ContextPropagatingTaskDecorator for async executor boundaries.
  • Enable Reactor automatic context propagation only deliberately and test it.
  • Avoid annotating already instrumented MVC controllers or repositories with @Observed.

Health and readiness

  • Keep liveness independent from remote dependencies.
  • Put traffic-critical dependencies in readiness groups.
  • Give custom health checks strict timeouts and stable detail keys.
  • Keep sensitive health details hidden from unauthenticated callers.

Logging and alerts

  • Emit structured logs correlated with trace and span IDs.
  • Redact credentials, tokens, personal data, prompts, and request bodies by default.
  • Alert on service-objective symptoms: error ratio, latency, saturation, or queue lag.
  • Include a runbook and service/dependency identity in every actionable alert.

Examples

  • See examples/good-observation.java, examples/good-observability.yml, and examples/bad-observation.java.

Official sources

Gotchas

  • Agent uses high-cardinality IDs as metric tags - reserve them for traces or logs.
  • Agent directly configures an OpenTelemetry SDK and disables Boot integration accidentally - prefer Boot and Micrometer support.
  • Agent exposes all actuator endpoints - expose the minimum and secure them.
  • Agent ties liveness to a database or broker - dependency outages can trigger restart loops.
  • Agent loses trace context in @Async work - register context propagation explicitly.

© rrezartprebreza, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files in skills/spring-boot-4/production-observability of rrezartprebreza/spring-boot-skills.

  • SKILL.md
  • agents/openai.yaml
  • examples/bad-observation.java
  • examples/good-observability.yml
  • examples/good-observation.java

Open the folder on GitHubat commit f0c06a0

Compare with similar skills

Production Observability next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Production Observability compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Production Observability this skillrrezartprebreza/spring-boot-skills301—~769Automated safety check: PassMIT
Otel Javaollygarden/opentelemetry-agent-skills106—~1.4kAutomated safety check: PassApache-2.0
Spring Boot ObservabilityHoangNguyen0403/agent-skills-standard572—~501Automated safety check: PassMIT
Otel Pythonollygarden/opentelemetry-agent-skills106—~911Automated safety check: PassApache-2.0
Otel Rubyollygarden/opentelemetry-agent-skills106—~924Automated safety check: PassApache-2.0
Motel Debugkitlangton/motel298—~2.2kAutomated safety check: PassMIT

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Categories

Questions about Production Observability

What does Production Observability do?

A skill your agent uses when adding service-wide Spring Boot 4 Actuator, Micrometer Observation and Tracing, OpenTelemetry or OTLP export, structured logging, health probes, dashboards, or alerts. Production Observability is an agent skill from rrezartprebreza/spring-boot-skills. Use when adding service-wide Spring Boot 4 Actuator, Micrometer Observation and Tracing, OpenTelemetry or OTLP export, structured logging, health probes, dashboards, or alerts.

When should I use Production Observability?

Production Observability fits situations like: adding service-wide Spring Boot 4 Actuator; micrometer Observation and Tracing; structured logging.

How do I install Production Observability in Claude Code?

Run `npx skills add rrezartprebreza/spring-boot-skills --skill production-observability -a claude-code`. Or copy the skill folder (skills/spring-boot-4/production-observability in rrezartprebreza/spring-boot-skills) into .claude/skills/production-observability in your project. Claude Code loads it when a task matches its description.

How do I install Production Observability in Codex?

Run `npx skills add rrezartprebreza/spring-boot-skills --skill production-observability -a codex`. Or copy the skill folder (skills/spring-boot-4/production-observability in rrezartprebreza/spring-boot-skills) into .agents/skills/production-observability in your project. Codex loads it when a task matches its description.

Can I use Production Observability in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add rrezartprebreza/spring-boot-skills --skill production-observability -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/production-observability, .gemini/skills/production-observability, .github/skills/production-observability and .opencode/skills/production-observability in your project.

What does Production Observability need to run?

Going by SKILL.md and its folder, Production Observability needs Java for the scripts in its folder.

Does Production Observability access the network?

SKILL.md names 1 domain. As links in the text: docs.spring.io. This is read from the text; nothing was executed.

Is Production Observability safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Production Observability use?

Production Observability is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Production Observability use?

About 769 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Production Observability?

Skills that share tags, products or a category with Production Observability: Otel Java (ollygarden/opentelemetry-agent-skills, 106 stars), Spring Boot Observability (HoangNguyen0403/agent-skills-standard, 572 stars), Otel Python (ollygarden/opentelemetry-agent-skills, 106 stars) and Otel Ruby (ollygarden/opentelemetry-agent-skills, 106 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Production Observability?

rrezartprebreza (a GitHub user) maintains it in rrezartprebreza/spring-boot-skills, which has 301 GitHub stars. The repository holds 51 skills in this directory. The repository was last updated on September 21, 2026.

Source: rrezartprebreza/spring-boot-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.