Orchestrates a multi-agent loop involving planning, development, review, and publishing sub-agents to implement and publish features test-first and with high standards compliance.
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Downloads YouTube video comments, filters to unique authors, and randomly selects one comment to return.
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This skill downloads comments from a YouTube video, filters them to keep only comments with unique authors (first occurrence wins), and randomly selects one comment to return with author and text.
yt-random-comment-picker <youtube_video_url>
yt-random-comment-picker https://youtu.be/VIDEO_ID
yt-dlp to fetch the comment section from the specified YouTube video URLrandom.choice() to select one comment from the filtered listyt-dlp must be installed and available in PATHAuthor: @username
Comment: <comment text>
{
"author": "@username",
"text": "<comment text>",
"likes": 5
}
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Orchestrates a multi-agent loop involving planning, development, review, and publishing sub-agents to implement and publish features test-first and with high standards compliance.
中文简介正在准备中。当前显示原文说明。
Conducts multi-axis code review. Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple dimensions before it enters the main branch.
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Generates comprehensive AI context, AGENTS.md, and structured documentation in a context/ directory for any brownfield codebase using Tree-sitter AST extraction, dependency analysis, predefined python scripts, and orchestrated subagents.
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Manual browser testing and automation using Chrome DevTools MCP server. Handles port management, app launch, browser automation, login, and end-to-end testing.
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Breaks work into ordered tasks. Use when you have a spec or clear requirements and need to break work into implementable tasks. Use when a task feels too large to start, when you need to estimate scope, or when parallel work is possible.
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Progressively investigate PRs, commits, releases, and project evolution. Start with a lightweight assessment, dynamically deepen analysis based on complexity and risk, use subagents for independent investigations, and maintain evidence-backed project knowledge.
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