pino-logging-setup
Configure structured logging with Pino. Outputs human-readable colorized logs in development and structured JSON in production for log aggregation services.
Best use case
pino-logging-setup is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Configure structured logging with Pino. Outputs human-readable colorized logs in development and structured JSON in production for log aggregation services.
Teams using pino-logging-setup should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/pino-logging-setup/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How pino-logging-setup Compares
| Feature / Agent | pino-logging-setup | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Configure structured logging with Pino. Outputs human-readable colorized logs in development and structured JSON in production for log aggregation services.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Pino Logging Setup To set up Pino Logging Setup, refer to the fullstackrecipes MCP server resource: **Resource URI:** `recipe://fullstackrecipes.com/pino-logging-setup` If the MCP server is not configured, fetch the recipe directly: ```bash curl -H "Accept: text/plain" https://fullstackrecipes.com/api/recipes/pino-logging-setup ```
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