Generate a .geminiignore file that filters codebase noise while preserving signal folders.
npx skills add https://github.com/Swear4/agent_rules --skill doc-ignorer
Please help me install this Agent Skill. Skill: doc-ignorer Source: https://github.com/Swear4/agent_rules/tree/main/agent-universal/skills/doc-ignorer Command: npx skills add https://github.com/Swear4/agent_rules --skill doc-ignorer
This Skill analyzes a codebase to define the scope for a structured scan and generates a .geminiignore to filter noise (configs, tests, assets) while preserving the signal (pages, routes, models, i18n) for KB documentation.
Run doc-ignorer on your codebase to generate a .geminiignore at the repository root.
High-intent search queries and answers about installing and using this skill.
To generate a .geminiignore, analyze your codebase to identify signal patterns like pages, routes, and models, then exclude noise such as configs, tests, and assets to define a clean documentation scan scope.
When creating a .geminiignore, keep essential signal folders like pages, routes, models, and i18n, while excluding noise such as build outputs, dependencies, tests, and tooling configurations to focus documentation on user-relevant features.
A .geminiignore improves KB documentation quality by filtering out codebase noise like assets and tests, ensuring the structured scan focuses strictly on essential signal patterns to produce relevant user-facing documentation.
Yes, you can define scan scope for an existing repository by identifying its project structure and generating a ready-to-use .geminiignore at the repository root to filter noise and preserve essential UI and data signals.
The primary prerequisite is having access to the codebase so the tool can validate project structure, identify signal patterns, and output the .geminiignore file directly at the repository root.
Your documentation scan includes unwanted files because a .geminiignore is missing; generating one excludes configs, tests, and assets while preserving essential signals like pages and models for a focused KB scan.
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