Frame Title
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing rendered HTML, interactive components, or design-system patterns related to Provide titles for iframes and frames.
影片与视频编辑、自媒体创作者在需要拆解优秀视频、提取分镜参考或反推提示词时，使用本技能可自动抽取视频关键帧，调用视觉大模型批量分析画面，一键生成结构化描述与创作提示词，轻松搞定视频内容提取与场景分析。
No licenceAuto-check passed
Install Video Frame Extractor
$ npx skills add anbeime/skill --skill video-frame-extractor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install anbeime/skill video-frame-extractor --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/anbeime/skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/video-frame-extractor/video-frame-extractor .claude/skills/video-frame-extractor && 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-extractor" agent skill from https://github.com/anbeime/skill/tree/main/skills/video-frame-extractor/video-frame-extractor into .claude/skills/video-frame-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-frame-extractor", 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/anbeime/skill/tree/main/skills/video-frame-extractor/video-frame-extractorType 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 anbeime/skill --skill video-frame-extractor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install anbeime/skill video-frame-extractor --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/anbeime/skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/video-frame-extractor/video-frame-extractor .agents/skills/video-frame-extractor && 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-extractor" agent skill from https://github.com/anbeime/skill/tree/main/skills/video-frame-extractor/video-frame-extractor into .agents/skills/video-frame-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-frame-extractor", 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 anbeime/skill --skill video-frame-extractor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install anbeime/skill video-frame-extractor --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/anbeime/skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/video-frame-extractor/video-frame-extractor .cursor/skills/video-frame-extractor && 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-extractor" agent skill from https://github.com/anbeime/skill/tree/main/skills/video-frame-extractor/video-frame-extractor into .cursor/skills/video-frame-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-frame-extractor", 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/anbeime/skill.git --path skills/video-frame-extractor/video-frame-extractor--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 anbeime/skill --skill video-frame-extractor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install anbeime/skill video-frame-extractor --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/anbeime/skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/video-frame-extractor/video-frame-extractor .gemini/skills/video-frame-extractor && 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-extractor" agent skill from https://github.com/anbeime/skill/tree/main/skills/video-frame-extractor/video-frame-extractor into .gemini/skills/video-frame-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-frame-extractor", 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 anbeime/skill video-frame-extractorInstalls 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 anbeime/skill --skill video-frame-extractor -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/anbeime/skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/video-frame-extractor/video-frame-extractor .github/skills/video-frame-extractor && 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-extractor" agent skill from https://github.com/anbeime/skill/tree/main/skills/video-frame-extractor/video-frame-extractor into .github/skills/video-frame-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-frame-extractor", 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 anbeime/skill --skill video-frame-extractor -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install anbeime/skill video-frame-extractor --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/anbeime/skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/video-frame-extractor/video-frame-extractor .opencode/skills/video-frame-extractor && 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-extractor" agent skill from https://github.com/anbeime/skill/tree/main/skills/video-frame-extractor/video-frame-extractor into .opencode/skills/video-frame-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-frame-extractor", 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-extractor- GitHub stars
- 7.6k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 152 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 57
- Repo updated
- First seen
- Licence
- None found
At a glance
影片与视频编辑、自媒体创作者在需要拆解优秀视频、提取分镜参考或反推提示词时，使用本技能可自动抽取视频关键帧，调用视觉大模型批量分析画面，一键生成结构化描述与创作提示词，轻松搞定视频内容提取与场景分析。
- SKILL.md covers 任务目标, 前置准备, 操作步骤 and 资源索引, plus 4 more sections
- Runs Python scripts from its folder; calls python; reaches api.openai.com; needs VISION_API_KEY and COZE_API_KEY
What it does
Video Frame Extractor is an agent skill from anbeime/skill. 影片与视频编辑、自媒体创作者在需要拆解优秀视频、提取分镜参考或反推提示词时，使用本技能可自动抽取视频关键帧，调用视觉大模型批量分析画面，一键生成结构化描述与创作提示词，轻松搞定视频内容提取与场景分析。
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/analysis-guide.md`, `scripts/coze_bot_client.py` and `scripts/video_frame_extractor.py`).
The repository describes itself as: 收录最全、更新最快的技能Skills商店：精选原创技能包（涵盖文档处理、内容创作、编程开发、机器学习、自动化工作流），全部打包好可直接安装使用！同时自动抓取GitHub上万个Skills项目，按分类、更新时间、Star数量整理。The most comprehensive and frequently updated AI Agent skill…
Example prompts
- “/video-frame-extractor”
Requirements
- Python 3
- A credential in VISION_API_KEY
- A credential in COZE_API_KEY
What it can do on your machine
Read from SKILL.md and the folder at commit b8dadc0. 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 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
api.openai.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
VISION_API_KEYCOZE_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Video Frame Extractor loads about 1.2k tokens when it runs, and up to ~3.2k if it reads all its reference files. Until then it costs about 31 tokens; SKILL.md has 152 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 152 words (~1,188 tokens).
- name
- video-frame-extractor
- dependency.python
- opencv-python>=4.8.0, pillow>=10.0.0, requests>=2.28.0
Files
SKILL.md and 4 other files (scripts, references) in skills/video-frame-extractor/video-frame-extractor of anbeime/skill.
- SKILL.md
- references/analysis-guide.md
- scripts/coze_bot_client.py
- scripts/video_frame_extractor.py
- scripts/visual_analyzer.py
Open the folder on GitHubat commit b8dadc0
Compare with similar skills
Video Frame Extractor 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 Extractor this skillanbeime/skill | 7.6k | — | ~1.2k | Automated safety check: Pass | None | |
| Frame Titlethedaviddias/Front-End-Checklist | 74k | — | ~438 | Automated safety check: Pass | MIT | |
| Frame Logo Outronexu-io/open-design | 100k | — | ~777 | Automated safety check: Pass | Apache-2.0 | |
| Video Template Frame Glitch Titlenexu-io/open-design | 100k | — | ~325 | Automated safety check: Pass | Apache-2.0 | |
| Video Template Frame Logo Outronexu-io/open-design | 100k | — | ~317 | Automated safety check: Pass | Apache-2.0 | |
| Video Template Frame Data Rollupnexu-io/open-design | 100k | — | ~362 | Automated safety check: Pass | Apache-2.0 |
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Questions about Video Frame Extractor
What does Video Frame Extractor do?
影片与视频编辑、自媒体创作者在需要拆解优秀视频、提取分镜参考或反推提示词时，使用本技能可自动抽取视频关键帧，调用视觉大模型批量分析画面，一键生成结构化描述与创作提示词，轻松搞定视频内容提取与场景分析。. Video Frame Extractor is an agent skill from anbeime/skill.
How do I install Video Frame Extractor in Claude Code?
Run `npx skills add anbeime/skill --skill video-frame-extractor -a claude-code`. Or copy the skill folder (skills/video-frame-extractor/video-frame-extractor in anbeime/skill) into .claude/skills/video-frame-extractor in your project. Claude Code loads it when a task matches its description.
How do I install Video Frame Extractor in Codex?
Run `npx skills add anbeime/skill --skill video-frame-extractor -a codex`. Or copy the skill folder (skills/video-frame-extractor/video-frame-extractor in anbeime/skill) into .agents/skills/video-frame-extractor in your project. Codex loads it when a task matches its description.
Can I use Video Frame Extractor 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 anbeime/skill --skill video-frame-extractor -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-extractor, .gemini/skills/video-frame-extractor, .github/skills/video-frame-extractor and .opencode/skills/video-frame-extractor in your project.
What does Video Frame Extractor need to run?
Going by SKILL.md and its folder, Video Frame Extractor needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named VISION_API_KEY and COZE_API_KEY. Our summary lists: Python 3; A credential in VISION_API_KEY; A credential in COZE_API_KEY.
Does Video Frame Extractor access the network?
SKILL.md names 1 domain. In commands or code: api.openai.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Video Frame Extractor 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 Extractor use?
No licence was found for Video Frame Extractor or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Video Frame Extractor use?
About 1.2k tokens (SKILL.md is roughly 4.8k 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 2k tokens, read only when the agent opens those files.
What are the alternatives to Video Frame Extractor?
Skills that share tags, products or a category with Video Frame Extractor: Frame Title (thedaviddias/Front-End-Checklist, 74k stars), Frame Logo Outro (nexu-io/open-design, 100k stars), Video Template Frame Glitch Title (nexu-io/open-design, 100k stars) and Video Template Frame Logo Outro (nexu-io/open-design, 100k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Video Frame Extractor?
anbeime (a GitHub user) maintains it in anbeime/skill, which has 7,605 GitHub stars. The repository holds 57 skills in this directory. The repository was last updated on October 6, 2026.
Source: anbeime/skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.