视频文案分析一站式工具。下载在线视频（B站/YouTube/抖音等）、使用FunASR进行高速中文语音转录、 自动校正文稿、并进行三维度综合分析（TextContent/Viral/Brainstorming）。
$ npx skills add ALBEDO-TABAI/video-copy-analyzer --skill video-copy-analyzer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ALBEDO-TABAI/video-copy-analyzer video-copy-analyzer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
Claude Code skills documentation · loads skills from .claude/skills/
Install the "video-copy-analyzer" agent skill from https://github.com/ALBEDO-TABAI/video-copy-analyzer/tree/master into .claude/skills/video-copy-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-copy-analyzer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ALBEDO-TABAI/video-copy-analyzer --skill video-copy-analyzer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ALBEDO-TABAI/video-copy-analyzer video-copy-analyzer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "video-copy-analyzer" agent skill from https://github.com/ALBEDO-TABAI/video-copy-analyzer/tree/master into .agents/skills/video-copy-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-copy-analyzer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ALBEDO-TABAI/video-copy-analyzer --skill video-copy-analyzer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ALBEDO-TABAI/video-copy-analyzer video-copy-analyzer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "video-copy-analyzer" agent skill from https://github.com/ALBEDO-TABAI/video-copy-analyzer/tree/master into .cursor/skills/video-copy-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-copy-analyzer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ALBEDO-TABAI/video-copy-analyzer --skill video-copy-analyzer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ALBEDO-TABAI/video-copy-analyzer video-copy-analyzer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "video-copy-analyzer" agent skill from https://github.com/ALBEDO-TABAI/video-copy-analyzer/tree/master into .gemini/skills/video-copy-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-copy-analyzer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ALBEDO-TABAI/video-copy-analyzer video-copy-analyzerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ALBEDO-TABAI/video-copy-analyzer --skill video-copy-analyzer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "video-copy-analyzer" agent skill from https://github.com/ALBEDO-TABAI/video-copy-analyzer/tree/master into .github/skills/video-copy-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-copy-analyzer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ALBEDO-TABAI/video-copy-analyzer --skill video-copy-analyzer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ALBEDO-TABAI/video-copy-analyzer video-copy-analyzer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "video-copy-analyzer" agent skill from https://github.com/ALBEDO-TABAI/video-copy-analyzer/tree/master into .opencode/skills/video-copy-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-copy-analyzer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
video-copy-analyzer视频文案分析一站式工具。下载在线视频（B站/YouTube/抖音等）、使用FunASR进行高速中文语音转录、 自动校正文稿、并进行三维度综合分析（TextContent/Viral/Brainstorming）。
Video Copy Analyzer is an agent skill from ALBEDO-TABAI/video-copy-analyzer. 视频文案分析一站式工具。下载在线视频（B站/YouTube/抖音等）、使用FunASR进行高速中文语音转录、 自动校正文稿、并进行三维度综合分析（TextContent/Viral/Brainstorming）。 使用场景：当用户需要分析短视频文案、提取视频内容、学习爆款文案技巧时。 关键词：视频分析、文案分析、语音转文字、FunASR、爆款分析、视频下载
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 15 other files, including scripts and reference files (for example `README.md`, `README.zh-CN.md` and `main.py`).
It sits in Agent Workflows, covering Brainstorming. It works with YouTube, Douyin and Python. The repository describes itself as: Video Copy Analyzer - AI-powered video transcription and copywriting analysis skill. The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 76dc5f0. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 7 files in scripts/ (Python and JavaScript), which the agent can run.
Shell commands in SKILL.md call:
pythonpipyt-dlpbrewffmpegpython3nodeFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
modelscope.cnFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Video Copy Analyzer loads about 1.9k tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 50 tokens; SKILL.md has 411 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from ALBEDO-TABAI/video-copy-analyzer at commit 76dc5f0, republished under its MIT licence (© ALBEDO-TABAI). 411 words, ~1,909 tokens.
.claude/skills/video-copy-analyzer/SKILL.md (or your agent's skills folder). This skill also uses 13 other files; get the full folder from GitHub.一站式视频内容提取与文案分析，支持 B站、YouTube、抖音 等平台。
# 1. 基础工具
brew install ffmpeg # macOS
pip install yt-dlp requests pysrt python-dotenv
# 2. FunASR（核心 ASR 引擎，中文语音转录）
pip install funasr modelscope torch torchaudio
# 3. RapidOCR（烧录字幕识别，可选）
pip install rapidocr-onnxruntimeFunASR 首次运行时会自动下载约 2-3GB 模型文件到 ~/.cache/modelscope/：
| 模型 | 大小 | 用途 |
|---|---|---|
| paraformer-zh | ~1.05GB | 中文语音识别（ASR） |
| fsmn-vad | ~20MB | 语音活动检测（长音频分段） |
| ct-punc | ~1GB | 标点恢复 |
~/.cache/modelscope/hub/models/iic/ 目录# 验证所有依赖
python scripts/check_environment.py
# 或手动检查关键组件
yt-dlp --version
ffmpeg -version
python -c "from funasr import AutoModel; print('FunASR OK')"
python -c "from rapidocr_onnxruntime import RapidOCR; print('RapidOCR OK')"首次使用时，询问用户：
"请设置默认工作目录（用于保存下载的视频和分析报告）：
A. 使用默认目录：
~/video-analysis/B. 每次手动指定目录 C. 指定一个固定目录：[请输入路径]"
保存用户选择供后续使用。
重要：你必须严格按照以下 5 个阶段顺序执行，每个阶段完成后再进入下一个阶段。不要跳过任何阶段。
目标：将用户提供的视频 URL 下载为本地 MP4 文件。
执行步骤：
mkdir -p <输出目录>douyin.com 或 v.douyin.com）使用专用下载脚本：
python scripts/download_douyin.py "<抖音链接>" "<输出目录>/<文件名>.mp4"支持的链接格式：v.douyin.com/xxx、www.douyin.com/video/xxx、douyin.com/jingxuan?modal_id=xxx
抖音网页已对纯 HTTP 解析做风控。脚本会先尝试分享页解析，失败后启动本机 Chrome/Edge/Chromium（无头）提取播放地址，再回退 yt-dlp。需要 Node.js 18+ 以及上述浏览器之一；也可设置 DOUYIN_BROWSER 指向浏览器可执行文件。
使用 yt-dlp：
yt-dlp -f "bestvideo[height<=1080]+bestaudio/best[height<=1080]" \
--merge-output-format mp4 \
-o "<输出目录>/%(id)s.%(ext)s" \
"<视频URL>"目标：从视频中提取 SRT 格式字幕文件。
执行步骤：
⚠️ 重要：不要调用 extract_subtitle_funasr.py 的 main() 函数或直接运行整个脚本（它包含 B站 API 调用会因 cookies 问题卡住）。直接调用 extract_with_funasr 函数。
使用以下 Python 代码直接调用 FunASR 提取字幕：
import sys, os
sys.path.insert(0, '<skill_scripts_目录的绝对路径>')
from extract_subtitle_funasr import extract_with_funasr
success = extract_with_funasr('<视频文件绝对路径>', '<输出SRT文件绝对路径>')执行方式：将上述代码写入临时 Python 脚本文件（如 /tmp/run_funasr.py），然后运行：
python3 -u /tmp/run_funasr.py 2>&1 | tee /tmp/funasr_output.log注意事项：
确认成功：检查 SRT 文件是否存在且大小 > 0
字幕提取的内部逻辑（三层优先级，脚本自动处理）：
| 优先级 | 方法 | 适用场景 | 准确度 | 速度 |
|---|---|---|---|---|
| L1 | 内嵌字幕提取 | 视频自带字幕流 | ⭐⭐⭐⭐⭐ | ⚡ 极快 |
| L2 | RapidOCR 烧录字幕识别 | 字幕烧录在画面中 | ⭐⭐⭐⭐ | 🚀 快 |
| L3 | FunASR 语音转录 | 无字幕，纯语音 | ⭐⭐⭐⭐ | ⚡ 极快 |
目标：将 SRT 字幕合并为连续文本，基于语义进行校正，输出 <视频ID>_文字稿.md。
执行步骤：
输出文件：<输出目录>/<视频ID>_文字稿.md
输出格式：
# <视频ID> 原始文字稿
<校正后的完整文本>目标：对文字稿内容进行深度分析，应用三个分析框架，输出 <视频ID>_分析报告.md。
执行步骤：
三个分析框架：
你必须分析以下维度：
你必须分析以下维度：
你必须分析以下维度：
输出文件：<输出目录>/<视频ID>_分析报告.md
输出格式：
# 视频文案综合分析报告（三维度）
## 一、TextContent Analysis 视角
[叙事结构、修辞手法、词库]
## 二、Viral-Abstract-Script 视角
[Viral-5D诊断、风格定位、优化建议]
## 三、Brainstorming 视角
[价值拆解、创意方向、验证点]目标：基于阶段 3 的文字稿，按照视频内容的叙事逻辑重新分段整理，输出格式清晰、层次分明的 <视频ID>_结构化文字稿.md。
执行步骤：
## 一、xxx、## 二、xxx 格式）输出文件：<输出目录>/<视频ID>_结构化文字稿.md
输出格式：
# <视频标题或ID> 结构化文字稿
## 一、<第一段小标题>
<分行后的段落文本，3-5 句一段>
<继续...>
## 二、<第二段小标题>
<分行后的段落文本>
...注意事项：
完成所有 5 个阶段后，向用户播报：
✅ 视频文案分析完成！
📁 输出目录: <用户指定的目录>
📄 生成文件:
- <视频ID>.mp4 (原始视频)
- <视频ID>.srt (原始字幕)
- <视频ID>_文字稿.md (校正后纯文本文字稿)
- <视频ID>_分析报告.md (三维度分析报告)
- <视频ID>_结构化文字稿.md (按叙事逻辑分段的结构化文字稿)
🔗 快速打开:
[文字稿](<文字稿路径>)
[分析报告](<分析报告路径>)
[结构化文字稿](<结构化文字稿路径>)| 文件 | 说明 | 状态 |
|---|---|---|
| download_douyin.py | 抖音视频下载脚本 | ✅ 可用 |
| douyin_browser.mjs | 本机浏览器提取抖音播放地址 | ✅ 可用 |
| extract_subtitle_funasr.py | 智能字幕提取（FunASR + RapidOCR） | ✅ 可用 |
| check_environment.py | 环境依赖检测 | ✅ 可用 |
| analysis-frameworks.md | 三个分析框架详解 | ✅ 参考 |
<!-- 以下脚本暂未启用，需要浏览器 cookies 支持，目前因 macOS 钥匙串加密问题暂不可用 --><!-- | [fetch_bilibili_subtitle.py](scripts/fetch_bilibili_subtitle.py) | B站API字幕获取（需cookies） | ⏸️ 暂停 | --><!-- | [extract_subtitle.py](scripts/extract_subtitle.py) | Whisper 字幕提取（已被 FunASR 替代） | ⏸️ 暂停 | --><!-- | [transcribe_audio.py](scripts/transcribe_audio.py) | Whisper 音频转录（已被 FunASR 替代） | ⏸️ 暂停 | -->本 skill 使用 FunASR 的 Paraformer 系列模型组合：
from funasr import AutoModel
model = AutoModel(
model="paraformer-zh", # 中文 ASR（含 SeACo 增强）
vad_model="fsmn-vad", # 语音活动检测（自动分段长音频）
vad_kwargs={"max_single_segment_time": 60000}, # 每段最长 60 秒
punc_model="ct-punc", # 标点恢复
disable_update=True, # 禁用版本检查
)
result = model.generate(
input="audio.wav",
batch_size_s=300, # 动态 batch
cache={}, # 官方推荐参数
)性能参考（MacBook Pro M 系列 CPU）：
| 音频时长 | 转录耗时 | RTF | 字幕条数 |
|---|---|---|---|
| 42 秒 | 2 秒 | 0.049 | ~11 条 |
| 9 分钟 | 22 秒 | 0.036 | ~137 条 |
| 10 分钟 | 22 秒 | 0.035 | ~142 条 |
首次运行需下载约 2-3GB 模型文件，这是正常现象。在网速 30MB/s 的环境下约需 1-2 分钟。下载完成后后续运行秒级加载。
如果 ModelScope 下载速度慢或中断，可手动从 ModelScope 下载以下模型到 ~/.cache/modelscope/hub/models/iic/ 目录：
speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorchspeech_fsmn_vad_zh-cn-16k-common-pytorchpunc_ct-transformer_cn-en-common-vocab471067-largeFunASR 需要 PyTorch 2.0+，建议：
pip install torch torchaudio --upgrade不要直接运行 python extract_subtitle_funasr.py video.mp4 output.srt（它会调用 B站 API 获取字幕并因 cookies 问题卡住）。请按照阶段 2的说明，直接调用 extract_with_funasr() 函数。
www.douyin.com 对无浏览器会话的请求会返回风控页，旧的 RENDER_DATA 解析不再可用。确认：
node -v）DOUYIN_BROWSER=/path/to/chrome无浏览器时脚本会回退 yt-dlp，但 yt-dlp 同样需要有效游客 cookie，通常也会失败。
© ALBEDO-TABAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 13 other files (scripts, references) in the repository root of ALBEDO-TABAI/video-copy-analyzer.
Open the folder on GitHubat commit 76dc5f0
Video Copy Analyzer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Video Copy Analyzer this skillALBEDO-TABAI/video-copy-analyzer | 209 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Video To Subtitle Summaryimlewc/video-to-subtitle-summary-skill | 218 | — | ~4.6k | Automated safety check: Notes | MIT | |
| Videohubcacity/VideoHub | 168 | — | ~405 | Automated safety check: Pass | MIT | |
| FcpxmlDareDev256/fcp-mcp-server | 121 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Ray Trend Searchimraywang/rayskills | 159 | — | ~2.1k | Automated safety check: Pass | Custom licence | |
| Sciatlas Idea Generatezjunlp/SciAtlas | 160 | — | ~1.7k | Automated safety check: Notes | MIT |
imlewc/video-to-subtitle-summary-skill
A skill your agent uses when user provides a short video platform URL or local video/audio file and wants subtitles/AI summary, or when user asks to list their own AI Douyin historical tasks.
cacity/VideoHub
VideoHub 总入口。用于识别用户要处理的平台或功能，并路由到更具体的 VideoHub skills，如 YouTube、抖音、闲时队列、FFmpeg、字幕、故事剪辑、影视封面、音乐卡点剪辑和直播录制。
DareDev256/fcp-mcp-server
Work with Final Cut Pro timelines and .fcpxml/.fcpxmld files.
imraywang/rayskills
Researches what people are saying about a topic over a recent window across X, Reddit, YouTube and the public web, reporting each source's status with links.
zjunlp/SciAtlas
Use only the current SciAtlas multi-step idea-generation workflow (sciatlasideagen) to take a novice user from zero setup to final literature-grounded research idea seeds, including setup…
sickn33/agentic-awesome-skills
Read one public Xiaohongshu, Douyin, TikTok, YouTube, X or WeChat article link into text an agent can use (transcript, image text, key points) via the LinkDigest API or MCP server.
Categories
视频文案分析一站式工具。下载在线视频（B站/YouTube/抖音等）、使用FunASR进行高速中文语音转录、 自动校正文稿、并进行三维度综合分析（TextContent/Viral/Brainstorming）。. Video Copy Analyzer is an agent skill from ALBEDO-TABAI/video-copy-analyzer.
Video Copy Analyzer fits situations like: tasks that involve Brainstorming.
Run `npx skills add ALBEDO-TABAI/video-copy-analyzer --skill video-copy-analyzer -a claude-code`. Or copy the skill folder (the ALBEDO-TABAI/video-copy-analyzer repository) into .claude/skills/video-copy-analyzer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ALBEDO-TABAI/video-copy-analyzer --skill video-copy-analyzer -a codex`. Or copy the skill folder (the ALBEDO-TABAI/video-copy-analyzer repository) into .agents/skills/video-copy-analyzer in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ALBEDO-TABAI/video-copy-analyzer --skill video-copy-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/video-copy-analyzer, .gemini/skills/video-copy-analyzer, .github/skills/video-copy-analyzer and .opencode/skills/video-copy-analyzer in your project.
Going by SKILL.md and its folder, Video Copy Analyzer needs Python and JavaScript for the scripts in its folder and the command-line tools its instructions call (python, pip, yt-dlp, brew, ffmpeg and python3). Our summary lists: Python 3; Node.js.
SKILL.md names 1 domain. As links in the text: modelscope.cn. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Video Copy Analyzer is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.9k tokens (SKILL.md is roughly 7.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 806 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Video Copy Analyzer: Video To Subtitle Summary (imlewc/video-to-subtitle-summary-skill, 218 stars), Videohub (cacity/VideoHub, 168 stars), Fcpxml (DareDev256/fcp-mcp-server, 121 stars) and Ray Trend Search (imraywang/rayskills, 159 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ALBEDO-TABAI (a GitHub user) maintains it in ALBEDO-TABAI/video-copy-analyzer, which has 209 GitHub stars. The repository was last updated on August 18, 2026.
Source: ALBEDO-TABAI/video-copy-analyzer on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
