Agent skill

Spring Boot Observability

by HoangNguyen0403 in HoangNguyen0403/agent-skills-standard

Instrument Spring Boot with Micrometer metrics, distributed tracing, and structured logging.

MITAuto-check passedBackend & APIs

Install Spring Boot Observability

skills CLI
$ npx skills add HoangNguyen0403/agent-skills-standard --skill spring-boot-observability -a claude-code

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

GitHub CLI
$ gh skill install HoangNguyen0403/agent-skills-standard spring-boot-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/HoangNguyen0403/agent-skills-standard.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/spring-boot/spring-boot-observability .claude/skills/spring-boot-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
spring-boot-observability
GitHub stars
572
Token cost
~501 tokens
SKILL.md length
170 words
Files
3 (incl. references)
Skills in repo
211
Repo updated
First seen
Licence
MIT

At a glance

Instrument Spring Boot with Micrometer metrics, distributed tracing, and structured logging.

  • Works in 4 steps: Add tracing and metrics dependencies to… → Configure application.yaml for tracing,… → Add structured logging with MDC context → …
  • Adding Micrometer metrics
  • SKILL.md covers Priority: P0 (CRITICAL), Implementation Workflow, Enable Distributed Tracing and Configure Structured Logging, plus 3 more sections
  • Calls curl

What it does

Spring Boot Observability is an agent skill from HoangNguyen0403/agent-skills-standard. Instrument Spring Boot with Micrometer metrics, distributed tracing, and structured logging. Use when adding Micrometer metrics, distributed tracing, or structured logging to Spring Boot.

Its SKILL.md is about 500 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `evals/evals.json` and `references/implementation.md`).

It sits in Backend & APIs, covering Observability and Backend development. It works with Spring Boot and OpenTelemetry. The repository describes itself as: A collection of Agent Skills Standard and Best Practice for Programming Languages, Frameworks that help our AI Agent follow best practies on frameworks and programming laguages. The licence is MIT.

When your agent uses it

  • Adding Micrometer metrics
  • Distributed tracing
  • Structured logging to Spring Boot

Example prompts

  • “/spring-boot-observability”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Add tracing and metrics dependencies to pom.xml
  2. Configure application.yaml for tracing, actuator, and log correlation
  3. Add structured logging with MDC context
  4. Verify with curl localhost:8080/actuator/prometheus and check trace IDs in logs

What it can do on your machine

Read from SKILL.md and the folder at commit b529c2d. 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

    Shell commands in SKILL.md call:

    • curl

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

  • Network

    No URLs in SKILL.md. Its commands use curl, which can reach the network depending on how they are called.

    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

Spring Boot Observability loads about 501 tokens when it runs, and up to ~988 if it reads all its reference files. Until then it costs about 53 tokens; SKILL.md has 170 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~53
When it runs · the whole SKILL.md, loaded when a task matches
~501
With references · SKILL.md plus every file in references/, read only if the agent opens them
~988

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 HoangNguyen0403/agent-skills-standard at commit b529c2d, republished under its MIT licence (© HoangNguyen0403). 170 words, ~501 tokens.

Download SKILL.mdSave it as .claude/skills/spring-boot-observability/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
spring-boot-observability
description
Instrument Spring Boot with Micrometer metrics, distributed tracing, and structured logging. Use when adding Micrometer metrics, distributed tracing, or structured logging to Spring Boot.

Spring Boot Observability

Priority: P0 (CRITICAL)

Implementation Workflow

  1. Add tracing and metrics dependencies to pom.xml
  2. Configure application.yaml for tracing, actuator, and log correlation
  3. Add structured logging with MDC context
  4. Verify with curl localhost:8080/actuator/prometheus and check trace IDs in logs

Enable Distributed Tracing

  • Correlation IDs: Enable trace/span ID injection.
  • Propagation: Propagate context across threads (@Async) and clients.
  • OpenTelemetry: Use OTel bridge (micrometer-tracing-bridge-otel).

See implementation examples for application.yaml tracing configuration and actuator exposure.

Configure Structured Logging

  • Format: Use JSON logging (logstash-logback-encoder) in production.
  • MDC: Use MDC for contextual info (userId, tenantId). Always clear MDC in finally block.
  • Output: Log to stdout only. Let container handle shipping.

See implementation examples for structured logging with MDC context and Logstash encoder.

Secure Actuator Endpoints

  • Security: Secure /actuator/** with Admin role.
  • Probes: Enable K8s Liveness/Readiness probes.
  • Verify: Run curl localhost:8080/actuator/prometheus to confirm metrics exposed.

Anti-Patterns

  • No System.out: Use @Slf4j for all structured logging.
  • No open Actuator: Secure /actuator/** with Admin role.
  • No DIY tracing: Use Micrometer with OTel bridge.

References

© HoangNguyen0403, 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 2 other files (references) in skills/spring-boot/spring-boot-observability of HoangNguyen0403/agent-skills-standard.

  • SKILL.md
  • evals/evals.json
  • references/implementation.md

Open the folder on GitHubat commit b529c2d

Compare with similar skills

Spring Boot 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.

Spring Boot Observability compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Spring Boot Observability this skillHoangNguyen0403/agent-skills-standard572—~501Automated safety check: PassMIT
Otel Javaollygarden/opentelemetry-agent-skills106—~1.4kAutomated safety check: PassApache-2.0
AI Observabilityrrezartprebreza/spring-boot-skills301—~1.6kAutomated safety check: PassMIT
Production Observabilityrrezartprebreza/spring-boot-skills301—~615Automated safety check: PassMIT
Production Observabilityrrezartprebreza/spring-boot-skills301—~769Automated safety check: PassMIT
Backend Dev Guidelineslitefuse/litefuse1011 repos~5.8kAutomated safety check: PassCustom licence

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Questions about Spring Boot Observability

What does Spring Boot Observability do?

Instrument Spring Boot with Micrometer metrics, distributed tracing, and structured logging. Spring Boot Observability is an agent skill from HoangNguyen0403/agent-skills-standard. Instrument Spring Boot with Micrometer metrics, distributed tracing, and structured logging.

When should I use Spring Boot Observability?

Spring Boot Observability fits situations like: adding Micrometer metrics; distributed tracing; structured logging to Spring Boot.

How do I install Spring Boot Observability in Claude Code?

Run `npx skills add HoangNguyen0403/agent-skills-standard --skill spring-boot-observability -a claude-code`. Or copy the skill folder (skills/spring-boot/spring-boot-observability in HoangNguyen0403/agent-skills-standard) into .claude/skills/spring-boot-observability in your project. Claude Code loads it when a task matches its description.

How do I install Spring Boot Observability in Codex?

Run `npx skills add HoangNguyen0403/agent-skills-standard --skill spring-boot-observability -a codex`. Or copy the skill folder (skills/spring-boot/spring-boot-observability in HoangNguyen0403/agent-skills-standard) into .agents/skills/spring-boot-observability in your project. Codex loads it when a task matches its description.

Can I use Spring Boot 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 HoangNguyen0403/agent-skills-standard --skill spring-boot-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/spring-boot-observability, .gemini/skills/spring-boot-observability, .github/skills/spring-boot-observability and .opencode/skills/spring-boot-observability in your project.

What does Spring Boot Observability need to run?

Going by SKILL.md and its folder, Spring Boot Observability needs the command-line tools its instructions call (curl).

Does Spring Boot Observability access the network?

SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Spring Boot 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 Spring Boot Observability use?

Spring Boot 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 Spring Boot Observability use?

About 501 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 487 tokens, read only when the agent opens those files.

What are the alternatives to Spring Boot Observability?

Skills that share tags, products or a category with Spring Boot Observability: Otel Java (ollygarden/opentelemetry-agent-skills, 106 stars), AI Observability (rrezartprebreza/spring-boot-skills, 301 stars), Production Observability (rrezartprebreza/spring-boot-skills, 301 stars) and Production Observability (rrezartprebreza/spring-boot-skills, 301 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Spring Boot Observability?

HoangNguyen0403 (a GitHub user) maintains it in HoangNguyen0403/agent-skills-standard, which has 572 GitHub stars. The repository holds 211 skills in this directory. The repository was last updated on October 9, 2026.

Source: HoangNguyen0403/agent-skills-standard on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.