AI Skill

LoggerJS ships an installable AI skill for coding agents. The skill teaches an agent how to choose LoggerJS packages, add runtime-specific logger modules, configure production logging, migrate from existing loggers, and validate the change in the target project.

Use it when you want an agent to add LoggerJS to an application instead of only reading the docs.

Install

Install the skill from the GitHub repository:

npx skills add jskits/loggerjs --skill loggerjs

Install it for a specific agent:

npx skills add jskits/loggerjs --skill loggerjs --agent codex
npx skills add jskits/loggerjs --skill loggerjs --agent claude-code

Use it once without installing:

npx skills use jskits/loggerjs --skill loggerjs

For local development from a checkout:

npx skills add . --skill loggerjs
npx skills use . --skill loggerjs

What The Skill Includes

• skills/loggerjs/SKILL.md: the main workflow for adding or migrating LoggerJS.
• skills/loggerjs/references/package-selection.md: package and runtime selection rules.
• skills/loggerjs/references/runtime-recipes.md: Node, browser, library, pretty, OpenTelemetry, and Sentry recipes.
• skills/loggerjs/references/production-checklist.md: privacy, reliability, lifecycle, performance, and vendor-delivery guardrails.
• skills/loggerjs/references/migration.md: migration from console, pino, winston, loglevel, debug, and wrappers.
• skills/loggerjs/references/troubleshooting.md: common delivery, flush, browser, codec, and TypeScript issues.
• skills/loggerjs/scripts/inspect-loggerjs-project.mjs: a read-only project inspector that recommends LoggerJS packages from the target app.

Example Prompts

Use $loggerjs to add production-ready structured logging to this Node API.

Use $loggerjs to migrate this React app from console warnings/errors to LoggerJS browser logging.

Use $loggerjs to review this service's existing pino setup and propose the smallest safe LoggerJS migration.

How It Uses llms.txt

The skill is intentionally short. It points agents to the LLM-friendly docs when exact API or broader design context is needed:

• llms.txt: concise documentation map.
• llms-full.txt: expanded docs and skill context for larger context windows.
• Reference: generated package, API, and example reference.