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Agent skill

181 Java Observability Logging

by jabrena in jabrena/plinth

A skill your agent uses when you need to implement or improve Java logging and observability — including selecting SLF4J with Logback/Log4j2, applying proper log levels (ERROR, WARN, INFO, DEBUG…

Apache-2.0Auto-check passedDevOps & Cloud

Install 181 Java Observability Logging

skills CLI
$ npx skills add jabrena/plinth --skill 181-java-observability-logging -a claude-code

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

GitHub CLI
$ gh skill install jabrena/plinth 181-java-observability-logging --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/jabrena/plinth.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/181-java-observability-logging .claude/skills/181-java-observability-logging && 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
181-java-observability-logging
GitHub stars
446
Token cost
~804 tokens
SKILL.md length
294 words
Files
2 (incl. references)
Skills in repo
124
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when you need to implement or improve Java logging and observability — including selecting SLF4J with Logback/Log4j2, applying proper log levels (ERROR, WARN, INFO, DEBUG…

  • You need to implement
  • SKILL.md covers Constraints, When to use this skill, Workflow and Reference
  • Calls mvn
  • Improve Java logging and observability — including selecting SLF4J with Logback/Log4j2

What it does

181 Java Observability Logging is an agent skill from jabrena/plinth. Use when you need to implement or improve Java logging and observability — including selecting SLF4J with Logback/Log4j2, applying proper log levels (ERROR, WARN, INFO, DEBUG, TRACE), parameterized logging, correlation context, secure logging without sensitive data exposure, environment-specific configuration, log aggregation, monitoring, and alerting. This should trigger for requests such as Improve logging; Apply logging; Refactor logging; Add logging support; Review SLF4J structured logging in Java code. Part…

Its SKILL.md is about 800 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/181-java-observability-logging.md`).

It sits in DevOps & Cloud, covering Observability and Monitoring and alerting. It works with Java. The repository describes itself as: Plinth is an AI-native engineering toolkit for modern Java enterprise SDLC, built around reusable Commands, Agents, Skills, and MCP Servers. The licence is Apache-2.0.

When your agent uses it

  • You need to implement
  • Improve Java logging and observability — including selecting SLF4J with Logback/Log4j2
  • Applying proper log levels (ERROR
  • Parameterized logging

Example prompts

  • “/181-java-observability-logging”

What it can do on your machine

Read from SKILL.md and the folder at commit dca88dc. 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:

    • mvn

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

  • Network

    No URLs in SKILL.md.

    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

181 Java Observability Logging loads about 804 tokens when it runs, and up to ~4.8k if it reads all its reference files. Until then it costs about 142 tokens; SKILL.md has 294 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~142
When it runs · the whole SKILL.md, loaded when a task matches
~804
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.8k

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 jabrena/plinth at commit dca88dc, republished under its Apache-2.0 licence (© jabrena). 294 words, ~804 tokens.

Download SKILL.mdSave it as .claude/skills/181-java-observability-logging/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
181-java-observability-logging
description
Use when you need to implement or improve Java logging and observability — including selecting SLF4J with Logback/Log4j2, applying proper log levels (ERROR, WARN, INFO, DEBUG, TRACE), parameterized logging, correlation context, secure logging without sensitive data exposure, environment-specific configuration, log aggregation, monitoring, and alerting. This should trigger for requests such as Improve logging; Apply logging; Refactor logging; Add logging support; Review SLF4J structured logging in Java code. Part of Plinth Toolkit
license
Apache-2.0
metadata.author
Juan Antonio Breña Moral
metadata.version
0.19.0

Java Logging Best Practices

Implement effective Java logging following standardized frameworks, meaningful log levels, core practices (parameterized logging, exception handling, no sensitive data), explicit correlation context, flexible configuration, security-conscious logging, monitoring, and alerting.

What is covered in this Skill?

  • Standardized framework selection: SLF4J facade with Logback or Log4j2
  • Meaningful and consistent log levels: ERROR, WARN, INFO, DEBUG, TRACE
  • Core practices: parameterized logging, proper exception handling, avoiding sensitive data
  • Configuration: environment-specific (logback.xml, log4j2.xml), output formats, log rotation
  • Security: mask sensitive data, control log access, secure transmission, GDPR/HIPAA compliance
  • Log monitoring and alerting: centralized aggregation (ELK, Splunk, Loki), automated alerts

Scope: The reference is organized by examples (good/bad code patterns) for each core area. Apply recommendations based on applicable examples.

Constraints

Before applying any logging recommendations, ensure the project compiles. Compilation failure is a blocking condition. After applying improvements, run full verification.

  • MANDATORY: Run ./mvnw compile or mvn compile before applying any change
  • SAFETY: If compilation fails, stop immediately — do not proceed until resolved
  • VERIFY: Run ./mvnw clean verify or mvn clean verify after applying improvements
  • BEFORE APPLYING: Read the reference for detailed good/bad examples, constraints, and safeguards for each logging pattern

When to use this skill

  • Improve logging
  • Apply logging
  • Refactor logging
  • Add logging support
  • Review SLF4J structured logging in Java code

Workflow

  1. Compile project before logging changes

Run ./mvnw compile or mvn compile and stop immediately if compilation fails.

  1. Read logging reference and assess current observability

Read references/181-java-observability-logging.md and evaluate framework usage, log levels, sensitive-data handling, and config gaps.

  1. Apply logging and observability improvements

Implement selected framework/configuration/practice changes, including secure logging and monitoring integration where applicable.

  1. Verify with full build

Run ./mvnw clean verify or mvn clean verify after applying improvements.

Reference

For detailed guidance, examples, and constraints, see references/181-java-observability-logging.md.

© jabrena, Apache-2.0. 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 1 other file (references) in skills/181-java-observability-logging of jabrena/plinth.

  • SKILL.md
  • references/181-java-observability-logging.md

Open the folder on GitHubat commit dca88dc

Compare with similar skills

181 Java Observability Logging 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.

181 Java Observability Logging compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
181 Java Observability Logging this skilljabrena/plinth446—~804Automated safety check: PassApache-2.0
Apm IntegrationsDataDog/dd-trace-java736—~3.7kAutomated safety check: NotesApache-2.0
Opentelemetrygrafana/skills279—~1.7kAutomated safety check: PassApache-2.0
Axiom Dashboard Builderopenclaw/clawhub9.5k—~4.9kAutomated safety check: PassMIT
Happy Infra Metrics and Grafanaslopus/happy24k—~2kAutomated safety check: NotesMIT
Axiom Cost Controlopenclaw/clawhub9.5k—~1.7kAutomated safety check: PassMIT

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Works with

Categories

Questions about 181 Java Observability Logging

What does 181 Java Observability Logging do?

A skill your agent uses when you need to implement or improve Java logging and observability — including selecting SLF4J with Logback/Log4j2, applying proper log levels (ERROR, WARN, INFO, DEBUG…. 181 Java Observability Logging is an agent skill from jabrena/plinth. Use when you need to implement or improve Java logging and observability — including selecting SLF4J with Logback/Log4j2, applying proper log levels (ERROR, WARN, INFO, DEBUG, TRACE), parameterized logging, correlation context, secure logging without sensitive data exposure, environment-specific configuration, log aggregation, monitoring, and alerting.

When should I use 181 Java Observability Logging?

181 Java Observability Logging fits situations like: you need to implement; improve Java logging and observability — including selecting SLF4J with Logback/Log4j2; applying proper log levels (ERROR; parameterized logging.

How do I install 181 Java Observability Logging in Claude Code?

Run `npx skills add jabrena/plinth --skill 181-java-observability-logging -a claude-code`. Or copy the skill folder (skills/181-java-observability-logging in jabrena/plinth) into .claude/skills/181-java-observability-logging in your project. Claude Code loads it when a task matches its description.

How do I install 181 Java Observability Logging in Codex?

Run `npx skills add jabrena/plinth --skill 181-java-observability-logging -a codex`. Or copy the skill folder (skills/181-java-observability-logging in jabrena/plinth) into .agents/skills/181-java-observability-logging in your project. Codex loads it when a task matches its description.

Can I use 181 Java Observability Logging 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 jabrena/plinth --skill 181-java-observability-logging -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/181-java-observability-logging, .gemini/skills/181-java-observability-logging, .github/skills/181-java-observability-logging and .opencode/skills/181-java-observability-logging in your project.

What does 181 Java Observability Logging need to run?

Going by SKILL.md and its folder, 181 Java Observability Logging needs the command-line tools its instructions call (mvn).

Does 181 Java Observability Logging access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is 181 Java Observability Logging 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 181 Java Observability Logging use?

181 Java Observability Logging is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does 181 Java Observability Logging use?

About 804 tokens (SKILL.md is roughly 3.2k 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 4k tokens, read only when the agent opens those files.

What are the alternatives to 181 Java Observability Logging?

Skills that share tags, products or a category with 181 Java Observability Logging: Apm Integrations (DataDog/dd-trace-java, 736 stars), Opentelemetry (grafana/skills, 279 stars), Axiom Dashboard Builder (openclaw/clawhub, 9.5k stars) and Happy Infra Metrics and Grafana (slopus/happy, 24k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains 181 Java Observability Logging?

jabrena (a GitHub user) maintains it in jabrena/plinth, which has 446 GitHub stars. The repository holds 124 skills in this directory. The repository was last updated on October 7, 2026.

Source: jabrena/plinth on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.