Locate files and gather task context using parallel agents.
npx skills add https://github.com/duy-tung/claude-code-setup --skill ck-scout-duy-tung
Please help me install this Agent Skill. Skill: ck:scout Source: https://github.com/duy-tung/claude-code-setup/tree/main/claude/skills/scout Command: npx skills add https://github.com/duy-tung/claude-code-setup --skill ck-scout-duy-tung
This Skill simplifies the process of navigating and understanding complex codebases by leveraging parallel agents for fast file discovery and task context gathering.
Invoke the 'ck:scout' command with your search target, such as 'ck:scout src/ for authentication files'.
High-intent search queries and answers about installing and using this skill.
Effortless codebase navigation uses parallel agents to quickly locate files and gather task context. This approach helps you understand existing code structure and find necessary files rapidly during new feature development.
Gathering task context across directories is best handled by parallel agents that perform quick searches simultaneously. This method provides fast information about related files and components, assisting in understanding the overall context of a task.
Yes, codebase search supports both internal Explore subagents and external Gemini or OpenCode CLI agents. This flexibility enhances search capabilities by allowing you to choose the agent that best fits your administrative workflow.
To start navigating and finding specific files like authentication modules, invoke the scouting command with your search target and directory path. This quickly locates the necessary files and provides context about related components.
Yes, parallel file discovery is specifically ideal for administrative workflows involving codebase orientation. It leverages multiple agents to quickly locate files and directories, providing fast task context gathering for orientation tasks.
The metadata does not specify explicit limitations for using parallel agents for codebase navigation. However, it is primarily designed for quick searches, file discovery, and task context gathering rather than deep code execution or modification.
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