Creates custom Cursor subagents with YAML frontmatter and system prompts.
npx skills add https://github.com/kkkaoru/dotfiles --skill create-subagent-kkkaoru
Please help me install this Agent Skill. Skill: create-subagent Source: https://github.com/kkkaoru/dotfiles/tree/main/.cursor/skills-cursor/create-subagent Command: npx skills add https://github.com/kkkaoru/dotfiles --skill create-subagent-kkkaoru
.md files with valid YAML frontmatter (name, description) and a markdown system prompt body. - Scope Selection: Places subagents in .cursor/agents/ for project-level sharing or ~/.cursor/agents/ for personal cross-project use, with correct priority handling. - Ready-Made Templates: Provides complete examples for a code reviewer, debugger, and data scientist subagent. - Use Case: After repeatedly asking the AI to review code, create a code-reviewer subagent with a proactive description so the AI delegates reviews automatically after every code change. ## Quick Start Create a code-reviewer subagent for this project that proactively reviews code for quality, security, and maintainability.High-intent search queries and answers about installing and using this skill.
Create a markdown file in .cursor/agents/ or ~/.cursor/agents/ with YAML frontmatter containing a name and description, followed by the system prompt body. The description determines when the AI delegates tasks to the subagent.
Project subagents live in .cursor/agents/ and apply only to the current codebase, making them ideal for team sharing via version control. User subagents in ~/.cursor/agents/ are personal and available across all projects, with project-level taking priority on name conflicts.
Only name and description are required in the YAML frontmatter. The name must use lowercase letters and hyphens, and the description should be specific enough for the AI to know when to delegate, ideally including proactive trigger language.
Verify the file is in .cursor/agents/ or ~/.cursor/agents/, has a .md extension, and contains valid YAML frontmatter. Syntax errors in the frontmatter or a wrong directory location are the most common causes.
Write a specific description that includes trigger terms and phrases like "use proactively" or "use immediately after writing code." Vague descriptions cause the AI to skip delegation, while actionable ones encourage automatic invocation.
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