Video Generation
bytedance/deer-flow
Generates short videos from a structured JSON prompt, optionally guided by a reference image used as the first or last frame.
Animate a portrait, character, artwork or scene with Magic Hour, editing and inspecting the start frame when needed before motion.
Install Magic Hour Image To Video
$ npx skills add aiskillstore/marketplace --skill magic-hour-image-to-video -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiskillstore/marketplace magic-hour-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/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/magichourhq/magic-hour-image-to-video .claude/skills/magic-hour-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 "magic-hour-image-to-video" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/magichourhq/magic-hour-image-to-video into .claude/skills/magic-hour-image-to-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "magic-hour-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/aiskillstore/marketplace/tree/main/skills/magichourhq/magic-hour-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 aiskillstore/marketplace --skill magic-hour-image-to-video -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiskillstore/marketplace magic-hour-image-to-video --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/magichourhq/magic-hour-image-to-video .agents/skills/magic-hour-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 "magic-hour-image-to-video" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/magichourhq/magic-hour-image-to-video into .agents/skills/magic-hour-image-to-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "magic-hour-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 aiskillstore/marketplace --skill magic-hour-image-to-video -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiskillstore/marketplace magic-hour-image-to-video --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/magichourhq/magic-hour-image-to-video .cursor/skills/magic-hour-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 "magic-hour-image-to-video" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/magichourhq/magic-hour-image-to-video into .cursor/skills/magic-hour-image-to-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "magic-hour-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/aiskillstore/marketplace.git --path skills/magichourhq/magic-hour-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 aiskillstore/marketplace --skill magic-hour-image-to-video -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiskillstore/marketplace magic-hour-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/aiskillstore/marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/magichourhq/magic-hour-image-to-video .gemini/skills/magic-hour-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 "magic-hour-image-to-video" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/magichourhq/magic-hour-image-to-video into .gemini/skills/magic-hour-image-to-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "magic-hour-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 aiskillstore/marketplace magic-hour-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 aiskillstore/marketplace --skill magic-hour-image-to-video -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/magichourhq/magic-hour-image-to-video .github/skills/magic-hour-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 "magic-hour-image-to-video" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/magichourhq/magic-hour-image-to-video into .github/skills/magic-hour-image-to-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "magic-hour-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 aiskillstore/marketplace --skill magic-hour-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 aiskillstore/marketplace magic-hour-image-to-video --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/magichourhq/magic-hour-image-to-video .opencode/skills/magic-hour-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 "magic-hour-image-to-video" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/magichourhq/magic-hour-image-to-video into .opencode/skills/magic-hour-image-to-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "magic-hour-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
magic-hour-image-to-video- GitHub stars
- 433
- Used in
- 1 other repo
- Token cost
- ~1.8k tokens
- SKILL.md length
- 987 words
- Files
- 8 (incl. references)
- Skills in repo
- 1,044
- Repo updated
- First seen
- Licence
- MIT
At a glance
Animate a portrait, character, artwork or scene with Magic Hour, editing and inspecting the start frame when needed before motion.
- Works in 3 steps: A usable source image already exists:… → No source image exists: call… → The supplied image already satisfies the…
- Transformations
- SKILL.md covers Define the shot, Build the start frame first, Animate the approved frame and Inspect and deliver
- Reaches mcp.magichour.ai
What it does
Magic Hour Image To Video is an agent skill from aiskillstore/marketplace. Animate a portrait, character, artwork or scene with Magic Hour, editing and inspecting the start frame when needed before motion. Use for image-to-video, transformations, reveals and character animation when Magic Hour is requested or is the project's chosen media provider.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `agents/openai.yaml`, `references/first-video.md` and `references/multi-shot.md`).
It sits in Media & Creative, covering AI video generation. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified. The licence is MIT.
When your agent uses it
- Transformations
- Reveals and character animation when Magic Hour is requested
- Is the projects chosen media provider
Example prompts
- “/magic-hour-image-to-video”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- A usable source image already exists: call ai_image_editor_create_image when composition, wardrobe, background, lighting, product…
- No source image exists: call ai_image_generator_create_image. AI Image Editor requires an input image; do not send it a prompt-only…
- The supplied image already satisfies the shot: skip image generation and animate it directly.
What it can do on your machine
Read from SKILL.md and the folder at commit 44923f3. 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
No scripts in the folder and no shell commands in SKILL.md.
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:
mcp.magichour.ai
Also links to:
github.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Magic Hour Image To Video loads about 1.8k tokens when it runs, and up to ~4.7k if it reads all its reference files. Until then it costs about 75 tokens; SKILL.md has 987 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from aiskillstore/marketplace at commit 44923f3, republished under its MIT licence (© aiskillstore). 987 words, ~1,770 tokens.
Download SKILL.mdSave it as
.claude/skills/magic-hour-image-to-video/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.- name
- magic-hour-image-to-video
- description
- Animate a portrait, character, artwork or scene with Magic Hour, editing and inspecting the start frame when needed before motion. Use for image-to-video, transformations, reveals and character animation when Magic Hour is requested or is the project's chosen media provider.
- license
- MIT
- metadata.author
- magichourhq
- metadata.version
- 1.5.0
Magic Hour image to video
Produce a usable short video by solving appearance in a still frame first and motion second. A project ID or queued job is incomplete unless the user asked only to submit it.
Generation consumes Magic Hour credits. Use a connected Magic Hour creation MCP at https://mcp.magichour.ai/ when available. Otherwise read references/setup.md for the API route. Discover the current schemas before choosing a model, duration, resolution, or price.
Choose the shot direction from the brief; do not ask a nontechnical user for model fields or a motion-prompt template. Honor the existing budget. When creative decisions are delegated, inspect and accept the still yourself, then continue to video unless draft approval was requested. Show the clip first and keep technical records in the project. For transformations and reveals, read directing the moment; for stories with several beats, read multi-shot direction.
For a first result or setup recovery, read first video and next edit. It defines the account check, combined budget, recoverable job record and reusable deliverable.
Define the shot
Extract or infer:
- delivery aspect ratio and resolution
- the subject, product, character, setting, and required visual details
- one primary subject action and one camera move
- details that must remain fixed, especially identity, geometry, packaging, logo, text, colors, clothing, and background
- failure conditions such as a warped face, altered label, unwanted cut, or unreadable text
Keep a short clip to one coherent beat. If the user wants several shots, treat each shot as its own reviewed start frame and video job. Derive those frames from the same approved identity reference rather than chaining unreviewed edits. Choose motion that preserves the deliverable: a dolly changes subject scale and available copy space, while a locked camera with restrained light or environmental motion can preserve a hero layout.
Build the start frame first
Choose one route:
- A usable source image already exists: call
ai_image_editor_create_imagewhen composition, wardrobe, background, lighting, product placement, or cleanup must change. State both the requested edit and everything that must remain unchanged. - No source image exists: call
ai_image_generator_create_image. AI Image Editor requires an input image; do not send it a prompt-only creation request. - The supplied image already satisfies the shot: skip image generation and animate it directly.
Create one still at the intended video aspect ratio. Use an authorized reference when exact identity, product geometry, packaging, or branding matters. Do not expect image-to-video to repair a poor source frame.
Wait for the image project with wait_for_image_project. Preview the completed still and reject it before animation if it has a wrong crop, anatomy problem, altered identity, malformed product, inaccurate logo or text, unintended lettering, visual artifact, or missing negative space. Fix the still with the smallest useful edit. A second paid image request requires an authorized budget.
Show full SKILL.md (526 more words)Show less
Animate the approved frame
Pass the exact approved image output to image_to_video_create_video. If the result is a local file, upload its raw bytes first using the flow in references/setup.md; a local path is not a hosted file_path.
Write the motion prompt around change over time:
- subject motion, with a clear speed and direction
- camera motion, or explicitly state that the camera is locked
- environmental motion such as fabric, steam, hair, light, or particles
- what stays fixed
- timing and end state, including a held final exposure when no fade is wanted
Avoid redescribing the entire still in new visual language. That invites the model to redesign the subject. For a reaction shot: The fish swims slowly beside her shoulder; she notices it and turns slightly with a surprised smile. A slow push in keeps her face and the fish separate. Preserve identity, clothes and scene. No cuts. A product layout may instead need a locked subject and protected copy area. Do not demand a centered subject when the approved frame places it on the right.
Use an end frame only when the current schema says the chosen model, resolution, and duration support it. Prefer the live recommended model for a general request. Select a specialist only when its schema describes the needed control. Match resolution and duration to the requested deliverable. A short preview tests a short interval, not stability over a longer clip. Check the total still-plus-video cost against existing authorization and ask only when it does not cover the intended work.
Submit the video once, retain its project ID, and call wait_for_video_project. A wait timeout is not a failed generation and does not justify resubmitting the creation call.
Inspect and deliver
After the project reports complete, use the returned download URL exactly as provided. Verify the downloaded dimensions, duration, and audio presence. Watch the full clip when playback is available, then inspect the first frame, midpoint, last frame, and any suspicious transition. Three still frames alone cannot prove the absence of flicker. Check:
- the first frame matches the approved still
- identity, product shape, logo, text, and clothing remain stable
- motion follows the requested direction and speed
- the camera does not drift or cut unexpectedly; inspect the actual final frame for an unwanted fade or lost subject, even when black-frame diagnostics are clean
- no warping, flicker, melting, duplicate objects, or abrupt final-frame collapse appears
- any generated audio is intentional and coherent
If one required criterion fails, identify it and change the smallest relevant input: start frame for appearance problems, motion prompt for movement problems, or model/resolution only when the live schema supports the needed behavior. Do not spend credits on another attempt outside the user's budget.
In the portrait-to-koi example, identity stayed recognizable but a requested slight turn became a larger turn in both directions. Keep the accepted still when correcting that motion. If the downloaded canvas differs slightly from the requested ratio, inspect the full action path before a local crop; do not regenerate an otherwise accepted take only to remove edge pixels.
Return the finished video or usable link, the saved location when applicable, the image and video project IDs, and any material limitation.
© aiskillstore, 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 7 other files (references) in skills/magichourhq/magic-hour-image-to-video of aiskillstore/marketplace.
- SKILL.md
- LICENSE.txt
- agents/openai.yaml
- references/first-video.md
- references/multi-shot.md
- references/setup.md
- references/transformations.md
- skill-report.json
Open the folder on GitHubat commit 44923f3
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in aiskillstore/marketplace, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Magic Hour 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 |
|---|---|---|---|---|---|---|
| Magic Hour Image To Video this skillaiskillstore/marketplace | 433 | 1 repos | ~1.8k | Automated safety check: Pass | MIT | |
| Video Generationbytedance/deer-flow | 84k | 3 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Video Cover Imageitwanger/toBeBetterJavaer | 18k | — | ~3.3k | Automated safety check: Pass | None | |
| Seedancesongguoxs/seedance-prompt-skill | 2.9k | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| HyperFrames Video Entry Pointheygen-com/hyperframes | 60k | 3 repos | ~5.2k | Automated safety check: Pass | Apache-2.0 | |
| Lanshu Create AI Presenter Videocclank/lanshu-create-ai-presenter-video | 2.6k | — | ~3.6k | Automated safety check: Pass | MIT |
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Categories
Questions about Magic Hour Image To Video
What does Magic Hour Image To Video do?
Animate a portrait, character, artwork or scene with Magic Hour, editing and inspecting the start frame when needed before motion. Magic Hour Image To Video is an agent skill from aiskillstore/marketplace. Animate a portrait, character, artwork or scene with Magic Hour, editing and inspecting the start frame when needed before motion.
When should I use Magic Hour Image To Video?
Magic Hour Image To Video fits situations like: transformations; reveals and character animation when Magic Hour is requested; is the projects chosen media provider.
How do I install Magic Hour Image To Video in Claude Code?
Run `npx skills add aiskillstore/marketplace --skill magic-hour-image-to-video -a claude-code`. Or copy the skill folder (skills/magichourhq/magic-hour-image-to-video in aiskillstore/marketplace) into .claude/skills/magic-hour-image-to-video in your project. Claude Code loads it when a task matches its description.
How do I install Magic Hour Image To Video in Codex?
Run `npx skills add aiskillstore/marketplace --skill magic-hour-image-to-video -a codex`. Or copy the skill folder (skills/magichourhq/magic-hour-image-to-video in aiskillstore/marketplace) into .agents/skills/magic-hour-image-to-video in your project. Codex loads it when a task matches its description.
Can I use Magic Hour 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 aiskillstore/marketplace --skill magic-hour-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/magic-hour-image-to-video, .gemini/skills/magic-hour-image-to-video, .github/skills/magic-hour-image-to-video and .opencode/skills/magic-hour-image-to-video in your project.
What does Magic Hour Image To Video need to run?
SKILL.md names no scripts, command-line tools or credentials: Magic Hour Image To Video is instructions for the agent only.
Does Magic Hour Image To Video access the network?
SKILL.md names 2 domains. In commands or code: mcp.magichour.ai; the agent is likely to contact it when it follows the instructions. As links in the text: github.com. This is read from the text; nothing was executed.
Is Magic Hour 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. Review the folder before installing.
What licence does Magic Hour Image To Video use?
Magic Hour Image To Video is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Magic Hour Image To Video use?
About 1.8k tokens (SKILL.md is roughly 7.1k 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 3k tokens, read only when the agent opens those files.
What are the alternatives to Magic Hour Image To Video?
Skills that share tags, products or a category with Magic Hour Image To Video: Video Generation (bytedance/deer-flow, 84k stars), Video Cover Image (itwanger/toBeBetterJavaer, 18k stars), Seedance (songguoxs/seedance-prompt-skill, 2.9k stars) and HyperFrames Video Entry Point (heygen-com/hyperframes, 60k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Magic Hour Image To Video?
aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 433 GitHub stars. The repository holds 1,044 skills in this directory. The repository was last updated on October 10, 2026.
Source: aiskillstore/marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.