Watching Videos
oxbshw/watch-skill
The user shared a video URL, a YouTube/TikTok/stream link, a local video file, a screen recording, a meeting recording, or a playlist/folder of videos — "watch this", "summarize this video", "what's…
TikTok/YouTube動画を分析してテンプレート化するスキル. An agent skill from minicoohei/ai-agent-camp.
$ npx skills add minicoohei/ai-agent-camp --skill video-analyzer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install minicoohei/ai-agent-camp video-analyzer --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-analyzer .claude/skills/video-analyzer && 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-analyzer" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/video-analyzer into .claude/skills/video-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-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.
$skill-installer install https://github.com/minicoohei/ai-agent-camp/tree/main/skills/video-analyzerType 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-analyzer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install minicoohei/ai-agent-camp video-analyzer --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-analyzer .agents/skills/video-analyzer && 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-analyzer" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/video-analyzer into .agents/skills/video-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-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 minicoohei/ai-agent-camp --skill video-analyzer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install minicoohei/ai-agent-camp video-analyzer --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-analyzer .cursor/skills/video-analyzer && 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-analyzer" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/video-analyzer into .cursor/skills/video-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-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.
$ gemini skills install https://github.com/minicoohei/ai-agent-camp.git --path skills/video-analyzer--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-analyzer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install minicoohei/ai-agent-camp video-analyzer --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-analyzer .gemini/skills/video-analyzer && 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-analyzer" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/video-analyzer into .gemini/skills/video-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-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 minicoohei/ai-agent-camp video-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 minicoohei/ai-agent-camp --skill video-analyzer -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-analyzer .github/skills/video-analyzer && 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-analyzer" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/video-analyzer into .github/skills/video-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-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 minicoohei/ai-agent-camp --skill video-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 minicoohei/ai-agent-camp video-analyzer --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-analyzer .opencode/skills/video-analyzer && 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-analyzer" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/video-analyzer into .opencode/skills/video-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-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-analyzerTikTok/YouTube動画を分析してテンプレート化するスキル. An agent skill from minicoohei/ai-agent-camp.
Video Analyzer is an agent skill from minicoohei/ai-agent-camp. TikTok/YouTube動画を分析してテンプレート化するスキル。 動画ダウンロード→フレーム抽出→STT→構成分析→テンプレートJSON生成。 競合分析、人気動画の構成学習に使用。 「TikTok分析」「YouTube分析」「動画テンプレート化」「競合動画分析」等で発動。
Its SKILL.md is about 780 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts (for example `SKILL.en.md`, `SKILL.es.md` and `agents/openai.yaml`).
It sits in Media & Creative. It works with TikTok and YouTube. 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.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 048ba4c. 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 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
youtube.comtiktok.comvt.tiktok.comyoutu.beinstagram.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
OPENAI_API_KEYGEMINI_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Video Analyzer loads about 777 tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 55 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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 55 words (~777 tokens).
SKILL.md and 5 other files (scripts) in skills/video-analyzer of minicoohei/ai-agent-camp.
Open the folder on GitHubat commit 048ba4c
Video 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 Analyzer this skillminicoohei/ai-agent-camp | 347 | — | ~777 | Automated safety check: Pass | None | |
| Watching Videosoxbshw/watch-skill | 469 | — | ~599 | Automated safety check: Notes | MIT | |
| Motion Video in Remotionooiyeefei/ccc | 494 | — | ~2.9k | Automated safety check: Pass | MIT | |
| Watchmathiaschu/watch | 142 | — | ~4k | Automated safety check: Warn | MIT | |
| Short Publishgug007/lpm | 152 | — | ~3.1k | Automated safety check: Pass | MIT | |
| Lesson Publishgug007/lpm | 152 | — | ~1.8k | Automated safety check: Pass | MIT |
oxbshw/watch-skill
The user shared a video URL, a YouTube/TikTok/stream link, a local video file, a screen recording, a meeting recording, or a playlist/folder of videos — "watch this", "summarize this video", "what's…
ooiyeefei/ccc
Builds marketing and explainer videos in Remotion from rendered scenes, with one real product capture as proof, and cuts them for each platform's formats.
mathiaschu/watch
Watch a video from YouTube, Instagram, X/Twitter, Vimeo, TikTok or any of ~1800 yt-dlp sites (or a local path).
gug007/lpm
Post a finished vertical lesson from ~/Movies/lpm-lessons/tiktok/<slug/ to YouTube Shorts (LPM channel, through Chrome) and TikTok (@lpm06557, from the user's iPhone through iPhone Mirroring) in…
gug007/lpm
Publish a finished lesson MP4 from ~/Movies/lpm-lessons/<slug/ to the lpm YouTube channel through Chrome (YouTube Studio): search-optimized title and description with chapters, tags, category, the…
ccplugins/awesome-claude-code-plugins
A skill your agent uses when the user shares a social video/post link or local video and wants it understood — an Instagram (instagram.com), TikTok (tiktok.com), YouTube or YouTube Shorts…
minicoohei/ai-agent-camp
200以上のファイル形式に対応した探索的データ分析(EDA)スキル. An agent skill from minicoohei/ai-agent-camp.
minicoohei/ai-agent-camp
コンテンツのA/Bテスト・自己改善ループを支援するプランナースキル. An agent skill from minicoohei/ai-agent-camp.
minicoohei/ai-agent-camp
TikTok/YouTube向け動画編集スキル。ffmpegでキャプション焼き込み、 Ken Burnsエフェクト、シーン結合、音声合成を行う。
minicoohei/ai-agent-camp
テーマからアウトライン生成→文体プロファイル適用→Markdown記事出力を行う記事執筆スキル. An agent skill from minicoohei/ai-agent-camp.
minicoohei/ai-agent-camp
各種SNS・広告プラットフォーム向けのバナー/クリエイティブを生成するスキル. An agent skill from minicoohei/ai-agent-camp.
minicoohei/ai-agent-camp
メールとSlackから返信すべき項目・タスクを抽出する統合型スキル. An agent skill from minicoohei/ai-agent-camp.
Categories
TikTok/YouTube動画を分析してテンプレート化するスキル. An agent skill from minicoohei/ai-agent-camp. Video Analyzer is an agent skill from minicoohei/ai-agent-camp.
Video Analyzer fits situations like: media & Creative work in your project.
Run `npx skills add minicoohei/ai-agent-camp --skill video-analyzer -a claude-code`. Or copy the skill folder (skills/video-analyzer in minicoohei/ai-agent-camp) into .claude/skills/video-analyzer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add minicoohei/ai-agent-camp --skill video-analyzer -a codex`. Or copy the skill folder (skills/video-analyzer in minicoohei/ai-agent-camp) into .agents/skills/video-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 minicoohei/ai-agent-camp --skill video-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-analyzer, .gemini/skills/video-analyzer, .github/skills/video-analyzer and .opencode/skills/video-analyzer in your project.
Going by SKILL.md and its folder, Video Analyzer needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named OPENAI_API_KEY and GEMINI_API_KEY. Our summary lists: Python 3; A credential in OPENAI_API_KEY; A credential in GEMINI_API_KEY.
SKILL.md names 5 domains. In commands or code: youtube.com, tiktok.com, vt.tiktok.com, youtu.be and instagram.com; the agent is likely to contact these when it follows the instructions. 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.
No licence was found for Video Analyzer or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 777 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Video Analyzer: Watching Videos (oxbshw/watch-skill, 469 stars), Motion Video in Remotion (ooiyeefei/ccc, 494 stars), Watch (mathiaschu/watch, 142 stars) and Short Publish (gug007/lpm, 152 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.