HyperFrames Video Entry Point
heygen-com/hyperframes
Entry point for making, editing and rendering videos from HTML compositions with HyperFrames, routing each request to the right workflow.
FFmpeg-based video creation from image and audio. An agent skill from notque/vexjoy-agent.
$ npx skills add notque/vexjoy-agent --skill image-to-video -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install notque/vexjoy-agent 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/notque/vexjoy-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/content/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/notque/vexjoy-agent/tree/main/skills/content/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/notque/vexjoy-agent/tree/main/skills/content/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 notque/vexjoy-agent --skill image-to-video -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install notque/vexjoy-agent image-to-video --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/content/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/notque/vexjoy-agent/tree/main/skills/content/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 notque/vexjoy-agent --skill image-to-video -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install notque/vexjoy-agent image-to-video --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/content/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/notque/vexjoy-agent/tree/main/skills/content/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/notque/vexjoy-agent.git --path skills/content/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 notque/vexjoy-agent --skill image-to-video -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install notque/vexjoy-agent 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/notque/vexjoy-agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/content/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/notque/vexjoy-agent/tree/main/skills/content/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 notque/vexjoy-agent 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 notque/vexjoy-agent --skill image-to-video -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/content/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/notque/vexjoy-agent/tree/main/skills/content/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 notque/vexjoy-agent --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 notque/vexjoy-agent image-to-video --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/content/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/notque/vexjoy-agent/tree/main/skills/content/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.
image-to-videoFFmpeg-based video creation from image and audio. An agent skill from notque/vexjoy-agent.
Image To Video is an agent skill from notque/vexjoy-agent. FFmpeg-based video creation from image and audio.
Its SKILL.md is about 820 tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts and reference files (for example `references/ffmpeg-filters.md`, `scripts/image_to_video.py` and `workspace/README.md`).
It sits in Media & Creative, covering AI video generation and Video production. It works with FFmpeg. The repository describes itself as: VexJoy AI Agent with Jev Intelligent Routing - /do routes plain-English requests to the right specialist agent and gates the work with reviews, tests, and a learning loop. The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 5218674. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteBashGrepGlobEditFrom allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3ffmpegffprobeaptbrewFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Image To Video loads about 817 tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 16 tokens; SKILL.md has 268 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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Write, Bash, Grep, Glob, EditAutomated 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.
The full file from notque/vexjoy-agent at commit 5218674, republished under its MIT licence (© notque). 268 words, ~817 tokens.
.claude/skills/image-to-video/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.Combine a static image with an audio file to produce an MP4 via FFmpeg. Supports resolution presets, audio visualization overlays, and batch processing. For image generation, use image-gen.
| Signal | Load | Why |
|---|---|---|
| FFmpeg filter graphs for visualization modes | references/ffmpeg-filters.md | Scale/pad, showwaves, showspectrum, overlay filters |
ffmpeg -version. If missing, stop with install instructions.| Preset | Dimensions | Platform |
|---|---|---|
1080p | 1920x1080 | YouTube HD (default) |
720p | 1280x720 | Standard HD |
square | 1080x1080 | Instagram, social |
vertical | 1080x1920 | Stories, Reels, TikTok |
Visualization modes (off unless requested): waveform, spectrum, cqt, bars.
Gate: FFmpeg installed, both files exist, parameters resolved.
Use the user's output path or derive from audio filename (/same/dir/filename.mp4). Verify directory is writable.
Defaults: libx264 preset medium, CRF 23, yuv420p, 192k AAC.
python3 $HOME/vexjoy-agent/skills/content/image-to-video/scripts/image_to_video.py \
--image /path/to/image.png --audio /path/to/audio.mp3 \
--output /path/to/output.mp4 --resolution 1080p --visualization staticBatch mode (matched pairs in workspace/input/):
python3 $HOME/vexjoy-agent/skills/content/image-to-video/scripts/image_to_video.py \
--process-workspace --visualization waveformGate: Script exits 0.
FFmpeg can exit 0 but produce a corrupt file. Always probe:
ffprobe -v error -show_entries format=duration,size -show_entries stream=codec_name,width,height \
-of default=noprint_wrappers=1 /path/to/output.mp4Confirm video duration matches audio (within 1s). Report: file path, size, duration, resolution, visualization mode.
| Error | Cause | Solution |
|---|---|---|
| FFmpeg not found | Not installed | apt install ffmpeg or brew install ffmpeg |
| Image/audio not found | Wrong or relative path | Use absolute paths; check with ls -la |
| FFmpeg filter errors | Minimal build lacks showwaves/showcqt | Install full FFmpeg; fall back to --visualization static |
| Cannot determine audio duration | Corrupted audio file | Test with ffprobe; convert: ffmpeg -i input -acodec pcm_s16le output.wav |
© notque, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 6 other files (scripts, references) in skills/content/image-to-video of notque/vexjoy-agent.
Open the folder on GitHubat commit 5218674
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 skillnotque/vexjoy-agent | 439 | — | ~817 | Automated safety check: Notes | MIT | |
| HyperFrames Video Entry Pointheygen-com/hyperframes | 59k | 3 repos | ~5.2k | Automated safety check: Pass | Apache-2.0 | |
| Video Shotseternityspring/reelbench-skills | 872 | 1 repos | ~1.8k | Automated safety check: Notes | Apache-2.0 | |
| Video Scrubeternityspring/reelbench-skills | 872 | — | ~1.3k | Automated safety check: Notes | Apache-2.0 | |
| Stage EditOrkas-AI/Orkas-VideoStudio | 498 | — | ~2.4k | Automated safety check: Pass | MIT | |
| Re Walkthrough Procharlesdove977/re-walkthrough-pro | 164 | — | ~1.1k | Automated safety check: Notes | MIT |
heygen-com/hyperframes
Entry point for making, editing and rendering videos from HTML compositions with HyperFrames, routing each request to the right workflow.
eternityspring/reelbench-skills
拉片:把一条成片拆成逐镜头的分析表——每个镜头的时长、景别、类别、运镜、画面. An agent skill from eternityspring/reelbench-skills.
eternityspring/reelbench-skills
把一条视频重建成「只有画面和声音」的干净文件——源片的元数据一概不搬: GPS、设备型号、账号 ID、创建时间、章节、GoPro 的遥测轨,全部留在原地。
Orkas-AI/Orkas-VideoStudio
Intelligent editing of real user-supplied footage—understand it with transcript/inspected-frame/scene/silence/quality evidence, then choose deterministic timeline operations or a constrained…
charlesdove977/re-walkthrough-pro
Turn a Zillow listing into a cinematic room-by-room walkthrough video (Apify scrape → Higgsfield image-to-video → ffmpeg stitch) to sell to real estate agents
ffroliva/gflow-cli
A skill your agent uses when the user wants a finished video out of gflow rather than a single clip — a scripted scene, a talking-head or dialogue piece, an explainer, a product montage, a story…
notque/vexjoy-agent
Deterministic palette/matrix pixel art (not AI). An agent skill from notque/vexjoy-agent.
notque/vexjoy-agent
Pull request lifecycle: commit, codex review, sync, review, fix, status, cleanup, and PR mining.
notque/vexjoy-agent
Improve architecture across modules by deepening interfaces.
notque/vexjoy-agent
Code quality: cleanup, linting, formatting, quality gates. An agent skill from notque/vexjoy-agent.
notque/vexjoy-agent
Statistical rule discovery from Go codebase patterns. An agent skill from notque/vexjoy-agent.
notque/vexjoy-agent
Review and fix temporal references in code comments. An agent skill from notque/vexjoy-agent.
Works with
Categories
FFmpeg-based video creation from image and audio. An agent skill from notque/vexjoy-agent. Image To Video is an agent skill from notque/vexjoy-agent. FFmpeg-based video creation from image and audio.
Image To Video fits situations like: tasks that involve AI video generation; tasks that involve Video production.
Run `npx skills add notque/vexjoy-agent --skill image-to-video -a claude-code`. Or copy the skill folder (skills/content/image-to-video in notque/vexjoy-agent) into .claude/skills/image-to-video in your project. Claude Code loads it when a task matches its description.
Run `npx skills add notque/vexjoy-agent --skill image-to-video -a codex`. Or copy the skill folder (skills/content/image-to-video in notque/vexjoy-agent) into .agents/skills/image-to-video in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add notque/vexjoy-agent --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.
Going by SKILL.md and its folder, Image To Video needs Python for the scripts in its folder and the command-line tools its instructions call (python3, ffmpeg, ffprobe, apt and brew). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Bash, Grep, Glob, Edit.
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.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), 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.
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.
About 817 tokens (SKILL.md is roughly 3.3k 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 1.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Image To Video: HyperFrames Video Entry Point (heygen-com/hyperframes, 59k stars), Video Shots (eternityspring/reelbench-skills, 872 stars), Video Scrub (eternityspring/reelbench-skills, 872 stars) and Stage Edit (Orkas-AI/Orkas-VideoStudio, 498 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
notque (a GitHub user) maintains it in notque/vexjoy-agent, which has 439 GitHub stars. The repository holds 61 skills in this directory. The repository was last updated on October 3, 2026.
Source: notque/vexjoy-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.