Video Assemble
zenstory-ai/video-recap-skills
合成视频解说最终成片：把旁白音频铺到源视频上，按旁白窗口压低原声，生成 SRT / ASS 字幕并可烧录， 最后做响度标准化。作为最终合成阶段使用。输入源视频、ttsmeta.json 与旁白位置； 输出 recap 成片和字幕。触发词：视频合成、混音、字幕、压字幕、assemble video、mux、ducking、subtitles、成片。
動画ファイルからキーフレームを抽出し、重複除去・最適化した上で内容を分析するスキル. An agent skill from minicoohei/ai-agent-camp.
Install Video Frame Reader
$ npx skills add minicoohei/ai-agent-camp --skill video-frame-reader -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install minicoohei/ai-agent-camp video-frame-reader --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/minicoohei/ai-agent-camp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/video-frame-reader .claude/skills/video-frame-reader && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "video-frame-reader" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/video-frame-reader into .claude/skills/video-frame-reader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-frame-reader", 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.
$skill-installer install https://github.com/minicoohei/ai-agent-camp/tree/main/skills/video-frame-readerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add minicoohei/ai-agent-camp --skill video-frame-reader -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install minicoohei/ai-agent-camp video-frame-reader --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minicoohei/ai-agent-camp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/video-frame-reader .agents/skills/video-frame-reader && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "video-frame-reader" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/video-frame-reader into .agents/skills/video-frame-reader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-frame-reader", 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 minicoohei/ai-agent-camp --skill video-frame-reader -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install minicoohei/ai-agent-camp video-frame-reader --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minicoohei/ai-agent-camp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/video-frame-reader .cursor/skills/video-frame-reader && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "video-frame-reader" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/video-frame-reader into .cursor/skills/video-frame-reader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-frame-reader", 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.
$ gemini skills install https://github.com/minicoohei/ai-agent-camp.git --path skills/video-frame-reader--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add minicoohei/ai-agent-camp --skill video-frame-reader -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install minicoohei/ai-agent-camp video-frame-reader --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minicoohei/ai-agent-camp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/video-frame-reader .gemini/skills/video-frame-reader && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "video-frame-reader" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/video-frame-reader into .gemini/skills/video-frame-reader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-frame-reader", 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 minicoohei/ai-agent-camp video-frame-readerInstalls 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 minicoohei/ai-agent-camp --skill video-frame-reader -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/minicoohei/ai-agent-camp.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/video-frame-reader .github/skills/video-frame-reader && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "video-frame-reader" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/video-frame-reader into .github/skills/video-frame-reader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-frame-reader", 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 minicoohei/ai-agent-camp --skill video-frame-reader -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install minicoohei/ai-agent-camp video-frame-reader --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minicoohei/ai-agent-camp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/video-frame-reader .opencode/skills/video-frame-reader && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "video-frame-reader" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/video-frame-reader into .opencode/skills/video-frame-reader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-frame-reader", 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.
Facts
- Skill name
video-frame-reader- GitHub stars
- 347
- Token cost
- ~829 tokens
- SKILL.md length
- 187 words
- Files
- 8 (incl. scripts)
- Skills in repo
- 37
- Repo updated
- First seen
- Licence
- None found
At a glance
動画ファイルからキーフレームを抽出し、重複除去・最適化した上で内容を分析するスキル. An agent skill from minicoohei/ai-agent-camp.
- Works in 5 steps: Capture User Intent → Install Dependencies (First Time Only) → Extract Keyframes → …
- Media & Creative work in your project
- SKILL.md covers Requirements, Workflow, Options and Overview, plus 3 more sections
- Runs Python scripts from its folder; calls python3, uv and brew
What it does
Video Frame Reader is an agent skill from minicoohei/ai-agent-camp. 動画ファイルからキーフレームを抽出し、重複除去・最適化した上で内容を分析するスキル。 「動画の中身を見て」「キーフレームを抽出」「この動画を分析して」等で発動。
Its SKILL.md is about 830 tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts (for example `README.md`, `SKILL.en.md` and `SKILL.es.md`).
It sits in Media & Creative. It works with FFmpeg. The repository describes itself as: AI Agent Camp — non-engineer-friendly AI agent training curriculum. Lessons, skills, commands, and hooks for Claude Code, Cursor, and Codex.
When your agent uses it
- Media & Creative work in your project
Example prompts
- “/video-frame-reader”
Requirements
- Python 3
Workflow steps
5 steps, taken from the step headings in SKILL.md.
- Capture User Intent
- Install Dependencies (First Time Only)
- Extract Keyframes
- Present Cost
- Invoke Subagent After Approval
What it can do on your machine
Read from SKILL.md and the folder at commit 048ba4c. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3uvbrewapt
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Video Frame Reader loads about 829 tokens when it runs. Until then it costs about 25 tokens; SKILL.md has 187 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.
Safety
Auto-check passed
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.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 187 words (~829 tokens).
“Extract keyframes from video, present token cost, then analyze.”
- name
- video-frame-reader
- triggers
- 動画の中身を見て, キーフレームを抽出, この動画を分析して, 動画を確認して, スクリーン録画を見て, video-frame-reader, keyframe extraction
Files
SKILL.md and 7 other files (scripts) in skills/video-frame-reader of minicoohei/ai-agent-camp.
- SKILL.md
- .gitignore
- README.md
- SKILL.en.md
- SKILL.es.md
- agents/openai.yaml
- extract_keyframes.py
- scripts/extract_keyframes.py
Open the folder on GitHubat commit 048ba4c
Compare with similar skills
Video Frame Reader 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 Frame Reader this skillminicoohei/ai-agent-camp | 347 | — | ~829 | Automated safety check: Pass | None | |
| Video Assemblezenstory-ai/video-recap-skills | 555 | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Podcastzarazhangrui/personalized-podcast | 437 | — | ~2.3k | Automated safety check: Notes | None | |
| Book Sales VideoKianzzz/book-sales-video | 215 | — | ~3.2k | Automated safety check: Pass | MIT | |
| Frames CLIviticci/frames-cli | 404 | — | ~6.1k | Automated safety check: Pass | MIT | |
| Extract Video Framesqdhenry/Claude-Command-Suite | 1.3k | — | ~1.6k | Automated safety check: Pass | None |
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从书名或飞书多维表格中的成稿文案出发，结合微信读书资料与公开点评创作图书带货/书评短视频，并用豆包 TTS、Pexels、Codex 生图和本机 OpenChatCut 完成配音、配图、双语字幕、音效、动效、BGM、可编辑初稿与按需导出。用户提出“根据一本书做带货视频”“读取飞书文案制作图书视频”“写书评口播并自动剪成抖音视频”“仿参考样式做图书推荐短视频”时使用；仅查书、仅写普通书评或无关剪辑…
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Extracts frames and timestamped audio segments from video files (GIF, MP4, MOV) at configurable intervals and stores them in a directory with a manifest file.
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Related
Works with
Categories
Questions about Video Frame Reader
What does Video Frame Reader do?
動画ファイルからキーフレームを抽出し、重複除去・最適化した上で内容を分析するスキル. An agent skill from minicoohei/ai-agent-camp. Video Frame Reader is an agent skill from minicoohei/ai-agent-camp.
When should I use Video Frame Reader?
Video Frame Reader fits situations like: media & Creative work in your project.
How do I install Video Frame Reader in Claude Code?
Run `npx skills add minicoohei/ai-agent-camp --skill video-frame-reader -a claude-code`. Or copy the skill folder (skills/video-frame-reader in minicoohei/ai-agent-camp) into .claude/skills/video-frame-reader in your project. Claude Code loads it when a task matches its description.
How do I install Video Frame Reader in Codex?
Run `npx skills add minicoohei/ai-agent-camp --skill video-frame-reader -a codex`. Or copy the skill folder (skills/video-frame-reader in minicoohei/ai-agent-camp) into .agents/skills/video-frame-reader in your project. Codex loads it when a task matches its description.
Can I use Video Frame Reader in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add minicoohei/ai-agent-camp --skill video-frame-reader -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-frame-reader, .gemini/skills/video-frame-reader, .github/skills/video-frame-reader and .opencode/skills/video-frame-reader in your project.
What does Video Frame Reader need to run?
Going by SKILL.md and its folder, Video Frame Reader needs Python for the scripts in its folder and the command-line tools its instructions call (python3, uv, brew and apt). Our summary lists: Python 3.
Does Video Frame Reader access the network?
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Video Frame Reader safe to install?
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.
What licence does Video Frame Reader use?
No licence was found for Video Frame Reader or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Video Frame Reader use?
About 829 tokens (SKILL.md is roughly 3.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Video Frame Reader?
Skills that share tags, products or a category with Video Frame Reader: Video Assemble (zenstory-ai/video-recap-skills, 555 stars), Podcast (zarazhangrui/personalized-podcast, 437 stars), Book Sales Video (Kianzzz/book-sales-video, 215 stars) and Frames CLI (viticci/frames-cli, 404 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Video Frame Reader?
minicoohei (a GitHub user) maintains it in minicoohei/ai-agent-camp, which has 347 GitHub stars. The repository holds 37 skills in this directory. The repository was last updated on October 7, 2026.
Source: minicoohei/ai-agent-camp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.