Adds prefixed debug logs to code and commits changes to Git.
npx skills add https://github.com/marcocpt/trae_skills --skill detailed-log-marcocpt
Please help me install this Agent Skill. Skill: detailed-log Source: https://github.com/marcocpt/trae_skills/tree/main/detailed-log Command: npx skills add https://github.com/marcocpt/trae_skills --skill detailed-log-marcocpt
[feature-id] LEVEL | location | message | context across Swift, TypeScript/JavaScript, Python, and Kotlin/Java. - Standards-aware: Searches the project for coding_standards.md or similar guideline files and follows the project's own logging conventions when they exist. - Automatic Git commit: After adding logs, stages only the modified files and creates a conventional commit like feat(F1.10): add detailed debug logs, running SwiftLint first for Swift projects. - Use Case: You are debugging a data-fetching issue tagged as feature F1.10. Ask the AI to add detailed logs to the fetch module, and it instruments function entries, branches, async operations, and error handlers with prefixed log lines, then commits the changes locally. ## Quick Start Add detailed debug logs with the F1.10 prefix to my data request module and commit the changes.High-intent search queries and answers about installing and using this skill.
Specify a feature number like F1.10 and the target file or function. The Skill inserts logs in the format [F1.10] LEVEL | location | message | context at function entries, branches, async operations, and error handlers.
Logs follow the pattern [feature-id] LEVEL | location | message | context data. Levels are DEBUG for execution flow, INFO for key business nodes, WARN for recoverable issues, and ERROR for failures and exceptions.
Yes, it provides logging examples for Swift (print), TypeScript/JavaScript (console.log), Python (logging module), and Kotlin/Java (Log.d/Log.e). If the project already uses a logging framework, that framework is used instead.
Yes. Before adding logs it searches the project for coding_standards.md or similar guideline files and follows any defined log format, levels, or tooling. Project rules take priority over the default format.
Yes. It stages only the modified files and creates a local commit like feat(F1.10): add detailed debug logs. For Swift projects it runs SwiftLint first. It never pushes to a remote.
Avoid logging inside high-frequency loops and never output sensitive data such as passwords, tokens, or personal information. Keep log volume moderate while including enough context for remote debugging.
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