Segment Anything Model Guide
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
火山视频理解 - 使用火山方舟视频理解 API 分析视频内容。通过 Files API 上传视频（推荐），支持大文件（最大512MB），可用于视频内容分析、物体识别、动作理解等。当用户需要分析视频、理解视频内容、提取视频信息时激活此技能。
Install Volcengine Video Understanding
$ npx skills add freestylefly/canghe-skills --skill volcengine-video-understanding -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install freestylefly/canghe-skills volcengine-video-understanding --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/freestylefly/canghe-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/canghe-volcengine-video-understanding .claude/skills/volcengine-video-understanding && 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 "volcengine-video-understanding" agent skill from https://github.com/freestylefly/canghe-skills/tree/master/skills/canghe-volcengine-video-understanding into .claude/skills/volcengine-video-understanding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "volcengine-video-understanding", 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/freestylefly/canghe-skills/tree/master/skills/canghe-volcengine-video-understandingType 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 freestylefly/canghe-skills --skill volcengine-video-understanding -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install freestylefly/canghe-skills volcengine-video-understanding --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/freestylefly/canghe-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/canghe-volcengine-video-understanding .agents/skills/volcengine-video-understanding && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "volcengine-video-understanding" agent skill from https://github.com/freestylefly/canghe-skills/tree/master/skills/canghe-volcengine-video-understanding into .agents/skills/volcengine-video-understanding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "volcengine-video-understanding", 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 freestylefly/canghe-skills --skill volcengine-video-understanding -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install freestylefly/canghe-skills volcengine-video-understanding --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/freestylefly/canghe-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/canghe-volcengine-video-understanding .cursor/skills/volcengine-video-understanding && 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 "volcengine-video-understanding" agent skill from https://github.com/freestylefly/canghe-skills/tree/master/skills/canghe-volcengine-video-understanding into .cursor/skills/volcengine-video-understanding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "volcengine-video-understanding", 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/freestylefly/canghe-skills.git --path skills/canghe-volcengine-video-understanding--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 freestylefly/canghe-skills --skill volcengine-video-understanding -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install freestylefly/canghe-skills volcengine-video-understanding --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/freestylefly/canghe-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/canghe-volcengine-video-understanding .gemini/skills/volcengine-video-understanding && 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 "volcengine-video-understanding" agent skill from https://github.com/freestylefly/canghe-skills/tree/master/skills/canghe-volcengine-video-understanding into .gemini/skills/volcengine-video-understanding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "volcengine-video-understanding", 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 freestylefly/canghe-skills volcengine-video-understandingInstalls 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 freestylefly/canghe-skills --skill volcengine-video-understanding -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/freestylefly/canghe-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/canghe-volcengine-video-understanding .github/skills/volcengine-video-understanding && 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 "volcengine-video-understanding" agent skill from https://github.com/freestylefly/canghe-skills/tree/master/skills/canghe-volcengine-video-understanding into .github/skills/volcengine-video-understanding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "volcengine-video-understanding", 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 freestylefly/canghe-skills --skill volcengine-video-understanding -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install freestylefly/canghe-skills volcengine-video-understanding --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/freestylefly/canghe-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/canghe-volcengine-video-understanding .opencode/skills/volcengine-video-understanding && 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 "volcengine-video-understanding" agent skill from https://github.com/freestylefly/canghe-skills/tree/master/skills/canghe-volcengine-video-understanding into .opencode/skills/volcengine-video-understanding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "volcengine-video-understanding", 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
volcengine-video-understanding- GitHub stars
- 461
- Token cost
- ~1k tokens
- SKILL.md length
- 179 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 19
- Repo updated
- First seen
- Licence
- None found
At a glance
火山视频理解 - 使用火山方舟视频理解 API 分析视频内容。通过 Files API 上传视频（推荐），支持大文件（最大512MB），可用于视频内容分析、物体识别、动作理解等。当用户需要分析视频、理解视频内容、提取视频信息时激活此技能。
- Works in 5 steps: 基础视频分析（Files API 方式 - 推荐） → 视频问答 → 情感分析 → …
- Tasks that involve Computer vision
- SKILL.md covers 功能, 前置要求, 使用方法 and 参数说明, plus 7 more sections
- Runs Python scripts from its folder; calls python3 and curl; reaches ark.cn-beijing.volces.com; needs ARK_API_KEY
What it does
Volcengine Video Understanding is an agent skill from freestylefly/canghe-skills. 火山视频理解 - 使用火山方舟视频理解 API 分析视频内容。通过 Files API 上传视频（推荐），支持大文件（最大512MB），可用于视频内容分析、物体识别、动作理解等。当用户需要分析视频、理解视频内容、提取视频信息时激活此技能。
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/video_understand.py`).
It sits in AI & LLM Engineering, covering Computer vision. The repository describes itself as: 苍何的技能skills仓库，搜集好用的 skills，辅助提效.
When your agent uses it
- Tasks that involve Computer vision
Example prompts
- “/volcengine-video-understanding”
Requirements
- Python 3
- A credential in ARK_API_KEY
Workflow steps
5 steps, taken from the step headings in SKILL.md.
- 基础视频分析（Files API 方式 - 推荐）
- 视频问答
- 情感分析
- 指定模型和帧率
- 保存结果到文件
What it can do on your machine
Read from SKILL.md and the folder at commit dd0bf35. 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:
python3curl
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:
ark.cn-beijing.volces.com
Also links to:
volcengine.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
ARK_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Volcengine Video Understanding loads about 1k tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 179 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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteMentions a .env fileSKILL.md:30
anghe-skills/.env.example .canghe-skills/.env - NoteMentions a .env fileSKILL.md:33
2. 编辑 `.canghe-skills/.env` 文件，填写你的 API Key： - NoteMentions a .env fileSKILL.md:47
2. 当前目录 `.canghe-skills/.env` - NoteMentions a .env fileSKILL.md:48
3. 用户主目录 `~/.canghe-skills/.env`
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 179 words (~1,035 tokens).
- name
- volcengine-video-understanding
Files
SKILL.md and 1 other file (scripts) in skills/canghe-volcengine-video-understanding of freestylefly/canghe-skills.
- SKILL.md
- scripts/video_understand.py
Open the folder on GitHubat commit dd0bf35
Compare with similar skills
Volcengine Video Understanding 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 |
|---|---|---|---|---|---|---|
| Volcengine Video Understanding this skillfreestylefly/canghe-skills | 461 | — | ~1k | Automated safety check: Notes | None | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3.3k | Automated safety check: Pass | MIT | |
| CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Yolo Master AgentTencent/YOLO-Master | 745 | — | ~755 | Automated safety check: Pass | AGPL-3.0 | |
| Video Understandjjyaoao/HelloAgents | 3.2k | 1 repos | ~6.2k | Automated safety check: Pass | MIT | |
| LLaVA Vision-Language ModelOrchestra-Research/AI-Research-SKILLs | 13k | 6 repos | ~2k | Automated safety check: Pass | MIT |
Similar skills
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Orchestra-Research/AI-Research-SKILLs
Explains OpenAI's CLIP model for zero-shot image classification, image-text similarity, semantic image search and content moderation, with install steps and code patterns.
Yolo Master Agent
Tencent/YOLO-Master
A skill your agent uses when the user wants to run a YOLO-Master task (train/val/predict/track/export/benchmark) or use the Agent Skill dispatcher.
Video Understand
jjyaoao/HelloAgents
Implement specialized video understanding capabilities using the z-ai-web-dev-sdk.
LLaVA Vision-Language Model
Orchestra-Research/AI-Research-SKILLs
Guide to LLaVA for image chat, visual question answering and captioning, with model sizes, CLI and Gradio usage and multi-turn conversation code.
Motioneyes Visual Analysis
edwardsanchez/MotionEyes
Pixel-based motion and UI change analysis from frame sequences or screenshots using computer vision and visual comparison.
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Related
Categories
Questions about Volcengine Video Understanding
What does Volcengine Video Understanding do?
火山视频理解 - 使用火山方舟视频理解 API 分析视频内容。通过 Files API 上传视频（推荐），支持大文件（最大512MB），可用于视频内容分析、物体识别、动作理解等。当用户需要分析视频、理解视频内容、提取视频信息时激活此技能。. Volcengine Video Understanding is an agent skill from freestylefly/canghe-skills.
When should I use Volcengine Video Understanding?
Volcengine Video Understanding fits situations like: tasks that involve Computer vision.
How do I install Volcengine Video Understanding in Claude Code?
Run `npx skills add freestylefly/canghe-skills --skill volcengine-video-understanding -a claude-code`. Or copy the skill folder (skills/canghe-volcengine-video-understanding in freestylefly/canghe-skills) into .claude/skills/volcengine-video-understanding in your project. Claude Code loads it when a task matches its description.
How do I install Volcengine Video Understanding in Codex?
Run `npx skills add freestylefly/canghe-skills --skill volcengine-video-understanding -a codex`. Or copy the skill folder (skills/canghe-volcengine-video-understanding in freestylefly/canghe-skills) into .agents/skills/volcengine-video-understanding in your project. Codex loads it when a task matches its description.
Can I use Volcengine Video Understanding 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 freestylefly/canghe-skills --skill volcengine-video-understanding -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/volcengine-video-understanding, .gemini/skills/volcengine-video-understanding, .github/skills/volcengine-video-understanding and .opencode/skills/volcengine-video-understanding in your project.
What does Volcengine Video Understanding need to run?
Going by SKILL.md and its folder, Volcengine Video Understanding needs Python for the scripts in its folder, the command-line tools its instructions call (python3 and curl) and credentials named ARK_API_KEY. Our summary lists: Python 3; A credential in ARK_API_KEY.
Does Volcengine Video Understanding access the network?
SKILL.md names 2 domains. In commands or code: ark.cn-beijing.volces.com; the agent is likely to contact it when it follows the instructions. As links in the text: volcengine.com. This is read from the text; nothing was executed.
Is Volcengine Video Understanding safe to install?
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. 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 Volcengine Video Understanding use?
No licence was found for Volcengine Video Understanding or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Volcengine Video Understanding use?
About 1k tokens (SKILL.md is roughly 4.1k 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 Volcengine Video Understanding?
Skills that share tags, products or a category with Volcengine Video Understanding: Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars), CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars), Yolo Master Agent (Tencent/YOLO-Master, 745 stars) and Video Understand (jjyaoao/HelloAgents, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Volcengine Video Understanding?
freestylefly (a GitHub user) maintains it in freestylefly/canghe-skills, which has 461 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on June 8, 2026.
Source: freestylefly/canghe-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.