Agent skill

Openrouter Image2video

by QinghongLin in QinghongLin/data2story-skill

Animate a still image into a short video via OpenRouter. An agent skill from QinghongLin/data2story-skill.

MITAuto-check passedAI & LLM Engineering

Install Openrouter Image2video

skills CLI

$ npx skills add QinghongLin/data2story-skill --skill openrouter-image2video -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install QinghongLin/data2story-skill openrouter-image2video --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/QinghongLin/data2story-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/data2story/designer/scripts/openrouter-image2video .claude/skills/openrouter-image2video && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "openrouter-image2video" agent skill from https://github.com/QinghongLin/data2story-skill/tree/main/skills/data2story/designer/scripts/openrouter-image2video into .claude/skills/openrouter-image2video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openrouter-image2video", 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

$skill-installer install https://github.com/QinghongLin/data2story-skill/tree/main/skills/data2story/designer/scripts/openrouter-image2video

Type 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.

skills CLI

$ npx skills add QinghongLin/data2story-skill --skill openrouter-image2video -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install QinghongLin/data2story-skill openrouter-image2video --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/QinghongLin/data2story-skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/data2story/designer/scripts/openrouter-image2video .agents/skills/openrouter-image2video && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "openrouter-image2video" agent skill from https://github.com/QinghongLin/data2story-skill/tree/main/skills/data2story/designer/scripts/openrouter-image2video into .agents/skills/openrouter-image2video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openrouter-image2video", 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.

skills CLI

$ npx skills add QinghongLin/data2story-skill --skill openrouter-image2video -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install QinghongLin/data2story-skill openrouter-image2video --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/QinghongLin/data2story-skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/data2story/designer/scripts/openrouter-image2video .cursor/skills/openrouter-image2video && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "openrouter-image2video" agent skill from https://github.com/QinghongLin/data2story-skill/tree/main/skills/data2story/designer/scripts/openrouter-image2video into .cursor/skills/openrouter-image2video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openrouter-image2video", 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

$ gemini skills install https://github.com/QinghongLin/data2story-skill.git --path skills/data2story/designer/scripts/openrouter-image2video

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add QinghongLin/data2story-skill --skill openrouter-image2video -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install QinghongLin/data2story-skill openrouter-image2video --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/QinghongLin/data2story-skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/data2story/designer/scripts/openrouter-image2video .gemini/skills/openrouter-image2video && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "openrouter-image2video" agent skill from https://github.com/QinghongLin/data2story-skill/tree/main/skills/data2story/designer/scripts/openrouter-image2video into .gemini/skills/openrouter-image2video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openrouter-image2video", 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.

GitHub CLI

$ gh skill install QinghongLin/data2story-skill openrouter-image2video

Installs 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).

skills CLI

$ npx skills add QinghongLin/data2story-skill --skill openrouter-image2video -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/QinghongLin/data2story-skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/data2story/designer/scripts/openrouter-image2video .github/skills/openrouter-image2video && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "openrouter-image2video" agent skill from https://github.com/QinghongLin/data2story-skill/tree/main/skills/data2story/designer/scripts/openrouter-image2video into .github/skills/openrouter-image2video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openrouter-image2video", 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.

skills CLI

$ npx skills add QinghongLin/data2story-skill --skill openrouter-image2video -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install QinghongLin/data2story-skill openrouter-image2video --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/QinghongLin/data2story-skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/data2story/designer/scripts/openrouter-image2video .opencode/skills/openrouter-image2video && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "openrouter-image2video" agent skill from https://github.com/QinghongLin/data2story-skill/tree/main/skills/data2story/designer/scripts/openrouter-image2video into .opencode/skills/openrouter-image2video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openrouter-image2video", 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: openrouter-image2video
GitHub stars: 155
Token cost: ~872 tokens
SKILL.md length: 298 words
Files: 3 (incl. scripts)
Skills in repo: 31
Repo updated: Jul 5, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Animate a still image into a short video via OpenRouter. An agent skill from QinghongLin/data2story-skill.

Works in 3 steps: POST /api/v1/videos with body → GET /api/v1/videos/{id} every 5s until… → GET /api/v1/videos/{id}/content → raw…
Tasks that involve Model routing and gateways
SKILL.md covers Usage, Flags, Flow and Notes
Runs Python scripts from its folder; calls python3; needs OPENROUTER_API_KEY

What it does

Openrouter Image2video is an agent skill from QinghongLin/data2story-skill. Animate a still image into a short video via OpenRouter. Default model google/veo-3.1-fast.

Its SKILL.md is about 870 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `config.json` and `scripts/generate_video_from_image.py`).

It sits in AI & LLM Engineering, covering Model routing and gateways. It works with OpenRouter and Google Veo. The repository describes itself as: Data Journalist Agent: Transforming Data into Verifiable Multimodal Story. The licence is MIT.

When your agent uses it

Tasks that involve Model routing and gateways

Example prompts

“/openrouter-image2video”

Requirements

Python 3
A credential in OPENROUTER_API_KEY

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

POST /api/v1/videos with body
GET /api/v1/videos/{id} every 5s until status == "completed"
GET /api/v1/videos/{id}/content → raw MP4 bytes

What it can do on your machine

Read from SKILL.md and the folder at commit 63a55c1. 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:
- python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- OPENROUTER_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Openrouter Image2video loads about 872 tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 298 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~29
When it runs · the whole SKILL.md, loaded when a task matches: ~872

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 QinghongLin/data2story-skill at commit 63a55c1, republished under its MIT licence (© QinghongLin). 298 words, ~872 tokens.

Download SKILL.mdSave it as .claude/skills/openrouter-image2video/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.

name: openrouter-image2video
description: Animate a still image into a short video via OpenRouter. Default model google/veo-3.1-fast.

openrouter-image2video

Image + motion-prompt → video via OpenRouter. Default model: google/veo-3.1-fast.

Use this when you already have a strong still image and want to bring it to life with subtle motion (camera pan, parallax, gentle animation) while preserving the composition. For motion-from-scratch, use openrouter-text2video instead.

The script accepts either a remote image URL or a local image path; local files are base64-encoded and inlined into the request as a data URL.

Usage

Resolve TOOL_DIR = the directory containing this SKILL.md. Commands below use TOOL_DIR as a symbolic placeholder; replace it with the resolved, quoted path before running Bash.

bash

export OPENROUTER_API_KEY=sk-or-v1-...

# From a local image you already generated with text2image
python3 TOOL_DIR/scripts/generate_video_from_image.py \
  --image PROJECT_DIR/assets/teaser.png \
  --prompt "slow parallax push-in, soft drift of ambient particles, no camera shake" \
  --duration 5 \
  --aspect-ratio 16:9 \
  --download PROJECT_DIR/assets/teaser.mp4

# Or from a remote URL
python3 TOOL_DIR/scripts/generate_video_from_image.py \
  --image-url "https://example.com/still.png" \
  --prompt "subtle camera dolly forward, gentle depth-of-field shift" \
  --download PROJECT_DIR/assets/scene.mp4

Flags

Flag	Default	Description
`--prompt`	required	Motion prompt — describe what should move and how
`--download`	required	Output MP4 path
`--image`	one of `--image` / `--image-url` required	Local image path (PNG/JPG); will be base64-encoded
`--image-url`	one of `--image` / `--image-url` required	Remote image URL
`--model`	`google/veo-3.1-fast`	Any OpenRouter image-to-video-capable model
`--duration`	`5`	Seconds
`--aspect-ratio`	`16:9`	`16:9`, `9:16`, `1:1`, `4:3`, `3:4`, `21:9`, `9:21`
`--resolution`	`720p`	Model-dependent (e.g. `480p`, `720p`, `1080p`)
`--frame-role`	`first`	`first` or `last` — anchor frame role for the input image
`--generate-audio`	off	Generate audio with video (if model supports)
`--poll-interval`	`5`	Seconds between polls
`--max-wait`	`600`	Max total wait time

Flow

POST /api/v1/videos with body:

json

{
  "model": "google/veo-3.1-fast",
  "prompt": "...motion prompt...",
  "aspect_ratio": "16:9",
  "duration": 5,
  "resolution": "720p",
  "frame_images": [
    {
      "type": "image_url",
      "frame_type": "first_frame",
      "image_url": {"url": "data:image/png;base64,..." }
    }
  ]
}

The --frame-role first|last flag maps to frame_type: "first_frame"|"last_frame".

GET /api/v1/videos/{id} every 5s until status == "completed"
GET /api/v1/videos/{id}/content → raw MP4 bytes

Notes

Veo 3.1 Fast is optimized for low-latency image-to-video. Typical render ≈ 60-180s for a 5s 720p clip.
The motion prompt should describe motion only, not the subject (the subject comes from the image).
For subjects with prominent faces, keep motion subtle to avoid uncanny artifacts.
If you also want a defined ending state, supply two images via frame_images with roles first and last. The current script wires only one anchor frame; extend body["frame_images"] to add a second.

Files

SKILL.md and 2 other files (scripts) in skills/data2story/designer/scripts/openrouter-image2video of QinghongLin/data2story-skill.

SKILL.md
config.json
scripts/generate_video_from_image.py

Open the folder on GitHubat commit 63a55c1

Compare with similar skills

Openrouter Image2video 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.

Openrouter Image2video compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Openrouter Image2video this skillQinghongLin/data2story-skill	155	—	~872	Automated safety check: Pass	MIT	3 mo ago
Embeddings via 9Routerdecolua/9router	31k	—	~604	Automated safety check: Pass	MIT	2 days ago
FreeRide Free Model ManagerShaivpidadi/FreeRide	238	2 repos	~1.1k	Automated safety check: Pass	None	5 mo ago
Using Ccproxy Inspectorstarbaser/ccproxy	350	—	~2.7k	Automated safety check: Pass	Custom licence	2 mo ago
Outsourcereralexgreensh/outsourcerer	171	—	~5.5k	Automated safety check: Notes	Custom licence	yesterday
Pinme LLMglitternetwork/pinme	3.8k	—	~2.8k	Automated safety check: Pass	MIT	29 days ago

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Questions about Openrouter Image2video

What does Openrouter Image2video do?

Animate a still image into a short video via OpenRouter. An agent skill from QinghongLin/data2story-skill. Openrouter Image2video is an agent skill from QinghongLin/data2story-skill. Animate a still image into a short video via OpenRouter.

When should I use Openrouter Image2video?

Openrouter Image2video fits situations like: tasks that involve Model routing and gateways.

How do I install Openrouter Image2video in Claude Code?

Run `npx skills add QinghongLin/data2story-skill --skill openrouter-image2video -a claude-code`. Or copy the skill folder (skills/data2story/designer/scripts/openrouter-image2video in QinghongLin/data2story-skill) into .claude/skills/openrouter-image2video in your project. Claude Code loads it when a task matches its description.

How do I install Openrouter Image2video in Codex?

Run `npx skills add QinghongLin/data2story-skill --skill openrouter-image2video -a codex`. Or copy the skill folder (skills/data2story/designer/scripts/openrouter-image2video in QinghongLin/data2story-skill) into .agents/skills/openrouter-image2video in your project. Codex loads it when a task matches its description.

Can I use Openrouter Image2video 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 QinghongLin/data2story-skill --skill openrouter-image2video -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/openrouter-image2video, .gemini/skills/openrouter-image2video, .github/skills/openrouter-image2video and .opencode/skills/openrouter-image2video in your project.

What does Openrouter Image2video need to run?

Going by SKILL.md and its folder, Openrouter Image2video needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named OPENROUTER_API_KEY. Our summary lists: Python 3; A credential in OPENROUTER_API_KEY.

Does Openrouter Image2video access the network?

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.

Is Openrouter Image2video 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 Openrouter Image2video use?

Openrouter Image2video 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 Openrouter Image2video use?

About 872 tokens (SKILL.md is roughly 3.5k 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 Openrouter Image2video?

Skills that share tags, products or a category with Openrouter Image2video: Embeddings via 9Router (decolua/9router, 31k stars), FreeRide Free Model Manager (Shaivpidadi/FreeRide, 238 stars), Using Ccproxy Inspector (starbaser/ccproxy, 350 stars) and Outsourcerer (alexgreensh/outsourcerer, 171 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Openrouter Image2video?

QinghongLin (a GitHub user) maintains it in QinghongLin/data2story-skill, which has 155 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on July 5, 2026.

Source: QinghongLin/data2story-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Openrouter Image2video

Install Openrouter Image2video

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

openrouter-image2video

Usage

Flags

Flow

Notes

Files

Compare with similar skills

Similar skills

Embeddings via 9Router

FreeRide Free Model Manager

Using Ccproxy Inspector

Outsourcerer

Pinme LLM

Hyper Jev

More from QinghongLin/data2story-skill

Inspector

Auditor

Critic

Detective

Inspector

Data2story Pro

Questions about Openrouter Image2video

Install Openrouter Image2video

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

openrouter-image2video

Usage

Flags

Flow

Notes

Files

Compare with similar skills

Similar skills

More from QinghongLin/data2story-skill

Related

Questions about Openrouter Image2video