Skill Overview
Start with fit, limitations, and setup before diving into the repository.
Scenario recommande : Ideal for AI agents that need rules (non-negotiable). Resume localise : logging helps AI agents handle repository-specific developer workflows with documented implementation details.
Pourquoi utiliser cette compétence
Recommandation : logging helps agents rules (non-negotiable). logging helps AI agents handle repository-specific developer workflows with documented implementation details.
Meilleur pour
Scenario recommande : Ideal for AI agents that need rules (non-negotiable).
↓ Cas d'utilisation exploitables for logging
! Sécurité et Limitations
- Limitation : Zero console.log/error/warn/debug in source code — use logger.ts only
- Limitation : Every phase MUST create an INDEX.json entry before starting
- Limitation : Every async error path MUST log via logger.error
About The Source
The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.
Browser Sandbox Environment
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Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.
FAQ et étapes d’installation
These questions and steps mirror the structured data on this page for better search understanding.
? Questions fréquentes
Qu’est-ce que logging ?
Scenario recommande : Ideal for AI agents that need rules (non-negotiable). Resume localise : logging helps AI agents handle repository-specific developer workflows with documented implementation details.
Comment installer logging ?
Exécutez la commande : npx killer-skills add HackamViGo/BrainBox_v2. Elle fonctionne avec Cursor, Windsurf, VS Code, Claude Code et plus de 19 autres IDE.
Quels sont les cas d’usage de logging ?
Les principaux cas d’usage incluent : Cas d'usage : Applying Rules (non-negotiable), Cas d'usage : Applying Zero console.log/error/warn/debug in source code — use logger.ts only, Cas d'usage : Applying DEBUG MODE=false in production — enforced by check-env.js.
Quels IDE sont compatibles avec logging ?
Cette skill est compatible avec Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Utilisez la CLI Killer-Skills pour une installation unifiée.
Y a-t-il des limites pour logging ?
Limitation : Zero console.log/error/warn/debug in source code — use logger.ts only. Limitation : Every phase MUST create an INDEX.json entry before starting. Limitation : Every async error path MUST log via logger.error.
↓ Comment installer ce skill
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1. Ouvrir le terminal
Ouvrez le terminal ou la ligne de commande dans le dossier du projet.
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2. Lancer la commande d’installation
Exécutez : npx killer-skills add HackamViGo/BrainBox_v2. La CLI détectera automatiquement votre IDE ou votre agent et configurera la skill.
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3. Commencer à utiliser le skill
Le skill est maintenant actif. Votre agent IA peut utiliser logging immédiatement dans le projet.
! Source Notes
This page is still useful for installation and source reference. Before using it, compare the fit, limitations, and upstream repository notes above.
Upstream Repository Material
The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.
logging
Install logging, an AI agent skill for AI agent workflows and automation. Explore features, use cases, limitations, and setup guidance.