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Agent Skill · 研究检索

plan-video(计划视频)

用于辅助视频生成、动画合成、脚本化剪辑或 Remotion 等视频项目开发。它适合让 Agent 组织镜头、生成素材说明、维护合成代码或排查渲染问题。使用时需要确认分辨率、时长、素材路径和导出格式;涉及外部素材、人物肖像或商业发布时,应先核对版权授权和内容审核要求。

plan-video 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 39,204。

总安装 1,448周安装 58GitHub Stars 124下载 469核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:plan-video(计划视频)
来源仓库:https://github.com/kenneth-liao/ai-launchpad-marketplace
仓库路径:skills/plan-video
安装命令:
npx skills add https://github.com/kenneth-liao/ai-launchpad-marketplace --skill plan-video
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/kenneth-liao/ai-launchpad-marketplace --skill plan-video

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

plan-video 用于辅助视频生成、动画合成、脚本化剪辑或 Remotion 项目开发,支持镜头组织与素材说明。适用于视频项目规划、素材管理和渲染问题排查等场景。通过 npx skills add 命令从指定 GitHub 仓库安装并使用该技能。

使用时需确认分辨率、时长、素材路径和导出格式,涉及版权内容时应先核对授权要求。plan-video 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/plan-video

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/kenneth-liao/ai-launchpad-marketplace --skill…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

plan-video 怎么安装?

在终端执行 npx skills add https://github.com/kenneth-liao/ai-launchpad-marketplace --skill plan-video。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

plan-video 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

plan-video 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

plan-video 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

plan-video 用的人多吗?

公开数据是累计安装 1,448 次,近一周安装 58 次,下载 469 次,GitHub 124 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

plan-video 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
plan-video

计划视频 · 本页

1,448124调用外部服务未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Plan Video

Overview

This orchestrator sequences foundation skills to produce a complete video plan: researched titles, thumbnail concepts, hook strategies, and a content outline. It manages the user selection workflow between steps but delegates all content generation to specialized skills.

Core Principle: This is a thin orchestrator. All content generation goes through foundation skills — that's where the proven patterns, formulas, and quality logic live. This skill manages workflow sequence, user decisions, and plan file assembly only.

How Reference Delegation Works

Each step below invokes a foundation skill that owns its own reference files. When you invoke creator-stack:title, it loads references/youtube-title-formulas.md from its own directory. When you invoke creator-stack:thumbnail, it loads references/thumbnail-formulas.md from its own directory. You don't need to manage these paths — just invoke the skill and provide context.

YouTube-Specific Context

Episode Directory Convention

All episode files live under ./youtube/episode/[episode_number]_[topic_short_name]/.

  • Research file: research.md in the episode directory
  • Plan file: plan.md in the episode directory
  • Thumbnails: saved to the episode directory during finalization

Channel Information

If a local channel context file exists (e.g., ./youtube/channel.md or similar), load it at the start of the workflow to provide channel-specific context to downstream skills.

YouTube MCP Tools Available

When creator-stack:research is invoked from this orchestrator, the YouTube Analytics MCP tools are available for data gathering:

  • search_videos — find videos by keyword, channel, or criteria
  • get_video_details — video stats, views, likes, comments, publish date
  • get_channel_details — channel metadata, subscriber count, video count
  • get_video_comments — comment text and sentiment data
  • get_video_transcript — full video transcript
  • get_related_videos — videos related to a specific video
  • get_trending_videos — currently trending videos
  • get_video_enhanced_transcript — enhanced transcript with timestamps

The YouTube Researcher agent (defined in this plugin's agents/youtube-researcher.md) can also be used for structured data gathering tasks.

When to Use

Use this skill when:

  • Research has been completed and you need to create a video plan
  • The user asks to plan a new video
  • You need title, thumbnail, hook, and outline options for a video
  • You want to produce a production-ready plan with multiple options for user selection

Prerequisites

Research for the video must be completed first. Either:

  1. Research file exists at ./youtube/episode/[episode_number]_[topic_short_name]/research.md, OR
  2. Invoke creator-stack:research to conduct research first (YouTube MCP tools are available)

Planning Workflow

Execute all steps below in order. Track progress systematically.

Step 0: Load Research

Read the research file for this episode:

  • Location: ./youtube/episode/[episode_number]_[topic_short_name]/research.md

If research does not exist, invoke creator-stack:research first. The YouTube MCP tools are available from this orchestrator context, enabling the research skill to gather YouTube-specific data.

The video plan should incorporate research findings at each step — research grounds every recommendation.

Step 1: Create Plan File

Create a new plan file at: ./youtube/episode/[episode_number]_[topic_short_name]/plan.md

If a plan file already exists, read it to understand what has been done so far and continue from there.

Initialize the plan file with this template:

# [Episode_Number]: [Topic] - Video Plan

## Research Summary
[Summary of research insights]

## Titles
[3 title options with rationale and star ratings]

## Thumbnails
[2 thumbnail concepts per title with rationale and star ratings]

## Hooks
[3 hook options for selected title+thumbnail with rationale and star ratings]

## High-Level Content Outline
[Section structure with key points]

## Final Plan
[Selected title, 3 AB test thumbnails, selected hook, outline]

Update this document as you progress through the planning steps.

Step 2: Generate Title Options

  1. Invoke creator-stack:title to generate 3 optimized titles.

- Provide the research summary as context.

  1. Document all title options in the plan file including:

- Title text - Rationale for why it is predicted to perform well and how it aligns with research insights - Star rating from 1-3 stars indicating your recommendation

Complete title generation before proceeding to thumbnails — thumbnails need to complement the titles.

Step 3: Generate Thumbnail Concepts

  1. Invoke creator-stack:thumbnail to generate 2 thumbnail concepts for each title. These should be concept descriptions only, not actual images yet.

- Provide each title as context so thumbnails complement them.

  1. Document all thumbnail concepts in the plan file including:

- Title pairing - Concept description - Rationale for why it is predicted to perform well, how it aligns with research, and how it complements the title - Star rating for top 3 thumbnail concepts

Step 4: Present Recommendation and Get User Selection

  1. Present all title/thumbnail combinations to the user, along with your top 3 recommended title + thumbnail pairings.
  2. Ask the user to select their one preferred title + thumbnail pairing to proceed with.
  3. Update both the title and thumbnail sections in the plan file to indicate the user's selection with a (User Selection) marker next to the selected options.

Always present all options so the user can make an informed decision — that's the whole point of generating multiple options.

Step 5: Generate Hook Strategy

  1. Invoke creator-stack:hook to generate 3 retention-optimized hooks, only for the user's selected title + thumbnail pairing.

- Provide the selected title + thumbnail concept as context.

  1. Document all hook strategies in the plan file including:

- Hook strategy description (including the actual hook script) - Rationale for why it is predicted to perform well, how it aligns with research, and how it complements the title + thumbnail - Star rating for each hook

  1. Present all hook options to the user and ask the user to select their preferred hook strategy.
  2. Update the hook section in the plan file to indicate the user's selection.

The plan should now contain a user-selected title, thumbnail, and hook combination.

Step 6: High-Level Content Outline

  1. Invoke creator-stack:write to create a high-level content outline.

- Provide the selected title, thumbnail concept, and hook as context.

  1. Create and document the strategic roadmap:

- Break video into sections (Hook, Intro, Main Content, Outro) - List key points and estimated durations - Identify critical demonstrations/examples - Note transitions

  1. Keep the outline high-level — structure and key points only, no detailed scripts. Focus on what is important to cover from the viewer's perspective rather than assuming specific content.

Step 7: Finalize Plan with AB Testing Thumbnails

Now that the user has selected their preferred title, thumbnail, and hook, finalize the plan.

  1. Invoke creator-stack:thumbnail to generate 3 thumbnail options for AB testing. These should be actual images generated with creator-stack:nanobanana, not just concepts. The first thumbnail should be based on the user's selected thumbnail concept. The other 2 should test different visual styles of the first thumbnail.
  2. Update the final plan section in the plan file with the complete final selections:
## Final Plan
- **Title**: [Selected title]
- **Thumbnails**:
   - ![Thumbnail A](/path/to/thumbnail_a.png)
      Thumbnail A Description
   - ![Thumbnail B](/path/to/thumbnail_b.png)
      Thumbnail B Description
   - ![Thumbnail C](/path/to/thumbnail_c.png)
      Thumbnail C Description
- **Hook**: [Selected hook strategy]
- **Rationale**: [Why this combination works]

A final plan always includes 3 thumbnails to AB test — that's how you learn what works for your audience.

Delegation Reference

Each foundation skill owns its own reference files and loads them automatically:

ContentSkillReference (loaded by the skill)
Titlescreator-stack:titleyoutube-title-formulas.md
Thumbnailscreator-stack:thumbnailthumbnail-formulas.md
Hookscreator-stack:hookyoutube-hooks.md
Outlinecreator-stack:writeyoutube-script.md
Voicecreator-stack:voiceInvoked automatically by writing skill

Complementarity Check

Before finalizing, verify that title/thumbnail/hook work together:

  • Thumbnail complements title visually (doesn't repeat it)
  • Hook extends curiosity (doesn't repeat title)
  • All elements align with the unique value proposition from research

Quality Checklist

Verify completion before finalizing plan:

  • Research file loaded and reviewed
  • creator-stack:title invoked — 3 title options generated
  • creator-stack:thumbnail invoked — 2 thumbnail concepts per title
  • User selected title + thumbnail pairing
  • creator-stack:hook invoked — 3 hook strategies generated
  • User selected hook strategy
  • creator-stack:write invoked — high-level content outline created
  • creator-stack:thumbnail invoked — 3 AB testing thumbnails generated
  • Plan file complete with all sections populated
  • Recommendations marked by star rating
  • Title/thumbnail/hook complementarity verified
  • Recommendations backed by research insights

Common Pitfalls

  1. Skipping skill invocation: Generating titles/thumbnails/hooks manually — the foundation skills have proven patterns you'd miss.
  2. Single option: Only providing one recommendation — always provide all options so the user can choose.
  3. Missing research: Starting without research — load research or invoke the research skill first.
  4. Ignoring complementarity: Title/thumbnail/hook don't work together — verify alignment before finalizing.
  5. No rationale: Recommendations without explanation — back everything with research insights.
  6. Too-detailed outline: Writing a full script instead of high-level structure — keep it strategic.

Example Execution

Scenario: User requests plan for video about "Building AI agents with memory" (research already complete)

  1. Load research — Read ./youtube/episode/18_ai_agents_with_memory/research.md, extract key insights
  2. Create plan file at ./youtube/episode/18_ai_agents_with_memory/plan.md
  3. Invoke creator-stack:title — 3 title options focused on practical implementation
  4. Invoke creator-stack:thumbnail — 2 concepts per title (6 total)
  5. Present all options, user selects title + thumbnail pairing
  6. Invoke creator-stack:hook — 3 hook strategies for selected pairing
  7. User selects hook
  8. Invoke creator-stack:write — high-level content outline
  9. Invoke creator-stack:thumbnail — 3 AB testing thumbnails for final plan
  10. Update plan file with complete final selections

Result: Production-ready plan with multiple options for user selection, all backed by research and generated using proven patterns from foundation skills.

平台分布

Codex

36.95%
按下载量换算173

Claude

27.57%
按下载量换算129

Cursor

16.91%
按下载量换算79

Gemini CLI

9.28%
按下载量换算44

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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