Seedance
songguoxs/seedance-prompt-skill
This skill should be used when the user asks to "generate video prompts", "create Seedance prompts", "write video descriptions", mentions "Seedance", "seedance", "即梦", "即梦平台", "视频提示词", "视频生成"…
Animate a still image into a finished, moving video with Pexo.
Install Image To Video
$ npx skills add pexoai/pexo-skills --skill image-to-video -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install pexoai/pexo-skills image-to-video --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/pexoai/pexo-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/image-to-video .claude/skills/image-to-video && 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 "image-to-video" agent skill from https://github.com/pexoai/pexo-skills/tree/main/skills/image-to-video into .claude/skills/image-to-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-to-video", 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/pexoai/pexo-skills/tree/main/skills/image-to-videoType 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 pexoai/pexo-skills --skill image-to-video -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install pexoai/pexo-skills image-to-video --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pexoai/pexo-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/image-to-video .agents/skills/image-to-video && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "image-to-video" agent skill from https://github.com/pexoai/pexo-skills/tree/main/skills/image-to-video into .agents/skills/image-to-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-to-video", 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 pexoai/pexo-skills --skill image-to-video -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install pexoai/pexo-skills image-to-video --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pexoai/pexo-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/image-to-video .cursor/skills/image-to-video && 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 "image-to-video" agent skill from https://github.com/pexoai/pexo-skills/tree/main/skills/image-to-video into .cursor/skills/image-to-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-to-video", 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/pexoai/pexo-skills.git --path skills/image-to-video--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 pexoai/pexo-skills --skill image-to-video -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install pexoai/pexo-skills image-to-video --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pexoai/pexo-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/image-to-video .gemini/skills/image-to-video && 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 "image-to-video" agent skill from https://github.com/pexoai/pexo-skills/tree/main/skills/image-to-video into .gemini/skills/image-to-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-to-video", 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 pexoai/pexo-skills image-to-videoInstalls 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 pexoai/pexo-skills --skill image-to-video -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/pexoai/pexo-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/image-to-video .github/skills/image-to-video && 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 "image-to-video" agent skill from https://github.com/pexoai/pexo-skills/tree/main/skills/image-to-video into .github/skills/image-to-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-to-video", 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 pexoai/pexo-skills --skill image-to-video -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install pexoai/pexo-skills image-to-video --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pexoai/pexo-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/image-to-video .opencode/skills/image-to-video && 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 "image-to-video" agent skill from https://github.com/pexoai/pexo-skills/tree/main/skills/image-to-video into .opencode/skills/image-to-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-to-video", 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
image-to-video- GitHub stars
- 804
- Token cost
- ~1.3k tokens
- SKILL.md length
- 537 words
- Files
- 13 (incl. scripts, references)
- Skills in repo
- 18
- Repo updated
- First seen
- Licence
- MIT
At a glance
Animate a still image into a finished, moving video with Pexo.
- Works in 5 steps: Create a project: pexo-project-create.sh… → Upload any files the user gave:… → Send the request: pexo-chat.sh " ". → …
- The user has an IMAGE to bring to life: image to video
- SKILL.md covers Your role: relay, don't create, Config, Workflow and Revisions, plus 3 more sections
- Runs Shell scripts from its folder; reaches pexo.ai; needs PEXO_API_KEY
What it does
Image To Video is an agent skill from pexoai/pexo-skills. Animate a still image into a finished, moving video with Pexo. Upload a photo and Pexo adds natural motion, camera moves, and transitions, auto-picks the best image-to-video model (Seedance, Kling, Wan, and more), and returns a publish-ready clip with music. Use when the user has an IMAGE to bring to life: "image to video", "animate this photo", "make a video from this picture", "turn my image into a video". NOT for text-only prompts (use the text-to-video skill) or editing an existing video.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including scripts and reference files (for example `README.md`, `references/SETUP-CHECKLIST.md` and `references/TROUBLESHOOTING.md`).
It sits in Media & Creative, covering AI video generation. It works with Seedance. The repository describes itself as: A collection of open-source Agent Skills for content creation — images, audio, and video. The licence is MIT.
When your agent uses it
- The user has an IMAGE to bring to life: image to video
- Animate this photo
- Make a video from this picture
- Turn my image into a video
Example prompts
- “image to video”
- “animate this photo”
- “make a video from this picture”
- “/image-to-video”
Requirements
- A Bash shell
- A credential in PEXO_API_KEY
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Create a project: pexo-project-create.sh "" → save the project_id.
- Upload any files the user gave: pexo-upload.sh → save asset_id,
- Send the request: pexo-chat.sh " ".
- Tell the user (their language): submitted ✓ · ~15–20 min · https://pexo.ai/project/.
- Poll: every ≥60s run pexo-project-get.sh and act on nextAction
What it can do on your machine
Read from SKILL.md and the folder at commit f724267. 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 9 files in scripts/ (Shell), which the agent can run.
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:
pexo.ai
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
PEXO_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Image To Video loads about 1.3k tokens when it runs, and up to ~5k if it reads all its reference files. Until then it costs about 128 tokens; SKILL.md has 537 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
The full file from pexoai/pexo-skills at commit f724267, republished under its MIT licence (© pexoai). 537 words, ~1,337 tokens.
Download SKILL.mdSave it as
.claude/skills/image-to-video/SKILL.md (or your agent's skills folder). This skill also uses 12 other files; get the full folder from GitHub.- name
- image-to-video
- description
- Animate a still image into a finished, moving video with Pexo. Upload a photo and Pexo adds natural motion, camera moves, and transitions, auto-picks the best image-to-video model (Seedance, Kling, Wan, and more), and returns a publish-ready clip with music. Use when the user has an IMAGE to bring to life: "image to video", "animate this photo", "make a video from this picture", "turn my image into a video". NOT for text-only prompts (use the text-to-video skill) or editing an existing video.
- homepage
- https://pexo.ai
- repository
- https://github.com/pexoai/pexo-skills
- version
- 0.1.0
- requires.env
- PEXO_API_KEY, PEXO_BASE_URL
- requires.runtime
- curl, jq, file
- metadata.author
- pexoai
Image to Video — Pexo
Pexo: https://pexo.ai — get an API key, watch your project render, and buy credits there.
Bring a still image to life as a finished video. You upload the user's image, hand the request to the hosted Pexo agent, and deliver the result — Pexo adds the motion, camera movement, music, and assembles the final clip.
Your role: relay, don't create
Create a project, send the user's request verbatim, poll, deliver. Pexo's backend handles all creative work — scriptwriting, model choice, prompts, music. Adding your own direction (duration, style, models the user didn't ask for) overrides its judgment and produces worse videos.
Config
~/.pexo/config:
PEXO_BASE_URL="https://pexo.ai"
PEXO_API_KEY="sk-<your-api-key>"No account / first run → read references/SETUP-CHECKLIST.md and walk the user through it — it carries the signup flow with the invite code that grants new users bonus credits, plus how to create the config above. Config error → run scripts/pexo-doctor.sh and follow its output.
Workflow
Scripts live in this skill's scripts/. Reply to the user in their language.
- Create a project:
pexo-project-create.sh "<short brief>"→ save theproject_id. - Upload any files the user gave:
pexo-upload.sh <project_id> <path>→ saveasset_id, reference it inline as<original-image>asset_id</original-image>(or<original-video>/<original-audio>). Tags are required — a bareasset_idis ignored. Pexo can't crawl URLs — download, then upload. - Send the request:
pexo-chat.sh <project_id> "<user's exact words> <asset tags>". Copy the user's words exactly; only add asset tags. - Tell the user (their language): submitted ✓ · ~15–20 min ·
https://pexo.ai/project/<project_id>. - Poll: every ≥60s run
pexo-project-get.sh <project_id>and act onnextAction:- WAIT → keep polling; every ~5 polls send a one-line update with the project link.
- RESPOND → handle each event in
recentMessages: relay Pexo's text (wait for the user's answer if it asked, thenpexo-chat.shtheir reply); forpreview_video, runpexo-asset-get.sh <project_id> <assetId>per option, show the URLs (A/B/C), let the user pick, thenpexo-chat.sh <project_id> "<choice>" --choice <assetId>; for adocumentevent, mention it to the user. - DELIVER →
pexo-asset-get.sh <project_id> <final assetId>, then send the user the full asset URL as plain text — all?…query params, never truncated or wrapped in markdown — plus the project link. - FAILED → explain
nextActionHintin plain terms and offer to retry. - RECONNECT →
pexo-chat.sh <project_id> "continue", tell the user the connection dropped and you're resuming, then keep polling. - Never call
pexo-chat.shduring WAIT — it triggers duplicate production. - Taking too long → if it's been >30 min and still WAIT, tell the user (with the project
link +
https://pexo.ai/connect/openclaw) it's running long; ask whether to keep waiting or stop. Don't poll forever.
Show full SKILL.md (129 more words)Show less
Revisions
After delivery, the user's tweaks ("make it shorter", "new music", "different shot") reuse the
same project: pexo-chat.sh <project_id> "<their feedback>", then poll again (step 5). Never
create a new project for a revision — it throws away Pexo's server-side context.
Credits
If a script fails with "Credits balance" / "Insufficient credits": if the error carries a
purchase link, pass it to the user; otherwise tell them to add credits at https://pexo.ai/home
→ Credits → Buy Credits. Retry after they confirm.
Example
User: "Animate this product photo into a 10-second clip with a slow zoom."
pid=$(pexo-project-create.sh "animate product photo")
pexo-chat.sh "$pid" "Animate this product photo into a 10-second clip with a slow zoom."
# Tell the user: submitted, ~15–20 min, https://pexo.ai/project/$pid
# Poll pexo-project-get.sh "$pid" until nextAction is DELIVER, then deliver the asset URL.Scripts
| Script | Usage | Returns |
|---|---|---|
pexo-project-create.sh | "<brief>" | project_id |
pexo-upload.sh | <project_id> <file> | asset_id |
pexo-chat.sh | <project_id> "<message>" [--choice <id>] | ack (async) |
pexo-project-get.sh | <project_id> | JSON: nextAction, recentMessages |
pexo-asset-get.sh | <project_id> <asset_id> | JSON with url |
pexo-doctor.sh | — | setup diagnostic |
Error codes and edge cases → references/TROUBLESHOOTING.md.
© pexoai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 12 other files (scripts, references) in skills/image-to-video of pexoai/pexo-skills.
- SKILL.md
- README.md
- references/SETUP-CHECKLIST.md
- references/TROUBLESHOOTING.md
- scripts/_common.sh
- scripts/pexo-asset-get.sh
- scripts/pexo-chat.sh
- scripts/pexo-doctor.sh
- scripts/pexo-entitlements.sh
- scripts/pexo-project-create.sh
- scripts/pexo-project-get.sh
- scripts/pexo-project-list.sh
- scripts/pexo-upload.sh
Open the folder on GitHubat commit f724267
Compare with similar skills
Image To Video 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 |
|---|---|---|---|---|---|---|
| Image To Video this skillpexoai/pexo-skills | 804 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Seedancesongguoxs/seedance-prompt-skill | 2.9k | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| SN Motion HTMLOpenSenseNova/SenseNova-Skills | 5.7k | — | ~2.2k | Automated safety check: Notes | MIT | |
| Seedance Prompt Endexhunter/seedance2-skill | 4.2k | — | ~3.8k | Automated safety check: Pass | MIT | |
| Seedance Japanese Prompt ExamplesEmily2040/seedance-2.0 | 7.6k | 1 repos | ~898 | Automated safety check: Pass | MIT | |
| Seedance 2 5 Video Directorliyue-aigc/seedance-2-5-video-director | 599 | — | ~3.5k | Automated safety check: Pass | MIT |
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Seedance Japanese Prompt Examples
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Provides Japanese prompt patterns and safe example rewrites for Seedance 2.0 video generation, with reference tags kept intact and each example labeled by risk.
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Design, derive, optimize, diagnose, and rewrite scripts or copy-ready prompts specifically for Dreamina/即梦 Seedance 2.5.
Seedance Prompt Zh
dexhunter/seedance2-skill
为即梦 Seedance 2.0 多模态AI视频生成模型撰写高质量提示词。当用户需要使用文本、图片、视频、音频等多模态输入创作视频提示词时触发。涵盖@引用语法、运镜复刻、特效模仿、视频延长、视频编辑、音乐卡点、电商广告、短剧创作、科普教育等场景。
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Related
Works with
Categories
Questions about Image To Video
What does Image To Video do?
Animate a still image into a finished, moving video with Pexo. Image To Video is an agent skill from pexoai/pexo-skills. Animate a still image into a finished, moving video with Pexo.
When should I use Image To Video?
Image To Video fits situations like: the user has an IMAGE to bring to life: image to video; animate this photo; make a video from this picture; turn my image into a video.
How do I install Image To Video in Claude Code?
Run `npx skills add pexoai/pexo-skills --skill image-to-video -a claude-code`. Or copy the skill folder (skills/image-to-video in pexoai/pexo-skills) into .claude/skills/image-to-video in your project. Claude Code loads it when a task matches its description.
How do I install Image To Video in Codex?
Run `npx skills add pexoai/pexo-skills --skill image-to-video -a codex`. Or copy the skill folder (skills/image-to-video in pexoai/pexo-skills) into .agents/skills/image-to-video in your project. Codex loads it when a task matches its description.
Can I use Image To Video 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 pexoai/pexo-skills --skill image-to-video -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/image-to-video, .gemini/skills/image-to-video, .github/skills/image-to-video and .opencode/skills/image-to-video in your project.
What does Image To Video need to run?
Going by SKILL.md and its folder, Image To Video needs a shell for the scripts in its folder and credentials named PEXO_API_KEY. Our summary lists: A Bash shell; A credential in PEXO_API_KEY.
Does Image To Video access the network?
SKILL.md names 1 domain. In commands or code: pexo.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Image To Video 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 Image To Video use?
Image To Video is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Image To Video use?
About 1.3k tokens (SKILL.md is roughly 5.3k 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 3.7k tokens, read only when the agent opens those files.
What are the alternatives to Image To Video?
Skills that share tags, products or a category with Image To Video: Seedance (songguoxs/seedance-prompt-skill, 2.9k stars), SN Motion HTML (OpenSenseNova/SenseNova-Skills, 5.7k stars), Seedance Prompt En (dexhunter/seedance2-skill, 4.2k stars) and Seedance Japanese Prompt Examples (Emily2040/seedance-2.0, 7.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Image To Video?
pexoai (a GitHub user) maintains it in pexoai/pexo-skills, which has 804 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on August 20, 2026.
Source: pexoai/pexo-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.