ML Adoption Playbook
affaan-m/ECC
End-to-end methodology for AI agents and software engineers to add machine learning algorithms to existing non-ML codebases.
動画分析結果からタイプ別Playbookに知見を蓄積・活用するスキル. An agent skill from minicoohei/ai-agent-camp.
$ npx skills add minicoohei/ai-agent-camp --skill video-playbook -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install minicoohei/ai-agent-camp video-playbook --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-playbook .claude/skills/video-playbook && 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-playbook" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/video-playbook into .claude/skills/video-playbook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-playbook", 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-playbookType 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-playbook -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install minicoohei/ai-agent-camp video-playbook --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-playbook .agents/skills/video-playbook && 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-playbook" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/video-playbook into .agents/skills/video-playbook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-playbook", 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-playbook -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install minicoohei/ai-agent-camp video-playbook --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-playbook .cursor/skills/video-playbook && 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-playbook" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/video-playbook into .cursor/skills/video-playbook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-playbook", 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-playbook--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-playbook -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install minicoohei/ai-agent-camp video-playbook --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-playbook .gemini/skills/video-playbook && 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-playbook" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/video-playbook into .gemini/skills/video-playbook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-playbook", 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-playbookInstalls 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-playbook -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-playbook .github/skills/video-playbook && 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-playbook" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/video-playbook into .github/skills/video-playbook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-playbook", 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-playbook -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-playbook --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-playbook .opencode/skills/video-playbook && 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-playbook" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/video-playbook into .opencode/skills/video-playbook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-playbook", 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-playbook動画分析結果からタイプ別Playbookに知見を蓄積・活用するスキル. An agent skill from minicoohei/ai-agent-camp.
Video Playbook is an agent skill from minicoohei/ai-agent-camp. 動画分析結果からタイプ別Playbookに知見を蓄積・活用するスキル。 video-analyzerの出力template.jsonを入力として使う。 「Playbook更新」「動画タイプ別知見」「Playbook確認」等で発動。
Its SKILL.md is about 500 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`).
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 first numbered list 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.
No URLs in SKILL.md.
From 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 Playbook loads about 504 tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 51 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 51 words (~504 tokens).
SKILL.md and 5 other files (scripts) in skills/video-playbook of minicoohei/ai-agent-camp.
Open the folder on GitHubat commit 048ba4c
Video Playbook 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 Playbook this skillminicoohei/ai-agent-camp | 347 | — | ~504 | Automated safety check: Pass | None | |
| ML Adoption Playbookaffaan-m/ECC | 277k | 1 repos | ~975 | Automated safety check: Pass | MIT | |
| Onboarding Playbooksickn33/agentic-awesome-skills | 47k | 1 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Implementing Soar Playbook With Palo Alto Xsoarmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Building Soc Playbook For Ransomwaremukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| Implementing Soar Playbook For Phishingmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 |
affaan-m/ECC
End-to-end methodology for AI agents and software engineers to add machine learning algorithms to existing non-ML codebases.
sickn33/agentic-awesome-skills
Onboarding checklist: step, phase and order, department, owner, linked SOP and required flag.
mukul975/Anthropic-Cybersecurity-Skills
Build automated incident response playbooks in Cortex XSOAR (Demisto) using its YAML playbook structure, integration commands, and task types to orchestrate phishing, malware, account-compromise…
mukul975/Anthropic-Cybersecurity-Skills
Builds a structured SOC incident response playbook for ransomware attacks covering detection, containment, eradication, and recovery phases with specific SIEM queries, isolation procedures, and…
mukul975/Anthropic-Cybersecurity-Skills
Automates phishing incident response by calling the Splunk SOAR (Phantom) REST API to create containers, attach artifacts (emails, URLs, attachments), and trigger response playbooks.
mukul975/Anthropic-Cybersecurity-Skills
Designs and documents structured incident response playbooks with step-by-step procedures per incident type, decision trees, escalation criteria, RACI matrices, and SOAR platform integration…
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.
動画分析結果からタイプ別Playbookに知見を蓄積・活用するスキル. An agent skill from minicoohei/ai-agent-camp. Video Playbook is an agent skill from minicoohei/ai-agent-camp.
Run `npx skills add minicoohei/ai-agent-camp --skill video-playbook -a claude-code`. Or copy the skill folder (skills/video-playbook in minicoohei/ai-agent-camp) into .claude/skills/video-playbook in your project. Claude Code loads it when a task matches its description.
Run `npx skills add minicoohei/ai-agent-camp --skill video-playbook -a codex`. Or copy the skill folder (skills/video-playbook in minicoohei/ai-agent-camp) into .agents/skills/video-playbook 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-playbook -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-playbook, .gemini/skills/video-playbook, .github/skills/video-playbook and .opencode/skills/video-playbook in your project.
Going by SKILL.md and its folder, Video Playbook needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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 Playbook or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 504 tokens (SKILL.md is roughly 2k 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 Playbook: ML Adoption Playbook (affaan-m/ECC, 277k stars), Onboarding Playbook (sickn33/agentic-awesome-skills, 47k stars), Implementing Soar Playbook With Palo Alto Xsoar (mukul975/Anthropic-Cybersecurity-Skills, 34k stars) and Building Soc Playbook For Ransomware (mukul975/Anthropic-Cybersecurity-Skills, 34k 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.