Media Use
edenfunf/reelmimic
Agent Media OS, the single skill for every media need in a HyperFrames project.
Generate or transform images, video, speech, and music with Cohub multimodal models via cohub generate.
$ npx skills add netaart/cohub --skill cohub-generate -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install netaart/cohub cohub-generate --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/netaart/cohub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/cohub-generate .claude/skills/cohub-generate && 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 "cohub-generate" agent skill from https://github.com/netaart/cohub/tree/main/skills/cohub-generate into .claude/skills/cohub-generate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cohub-generate", 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/netaart/cohub/tree/main/skills/cohub-generateType 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 netaart/cohub --skill cohub-generate -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install netaart/cohub cohub-generate --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/netaart/cohub.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/cohub-generate .agents/skills/cohub-generate && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cohub-generate" agent skill from https://github.com/netaart/cohub/tree/main/skills/cohub-generate into .agents/skills/cohub-generate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cohub-generate", 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 netaart/cohub --skill cohub-generate -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install netaart/cohub cohub-generate --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/netaart/cohub.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/cohub-generate .cursor/skills/cohub-generate && 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 "cohub-generate" agent skill from https://github.com/netaart/cohub/tree/main/skills/cohub-generate into .cursor/skills/cohub-generate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cohub-generate", 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/netaart/cohub.git --path skills/cohub-generate--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 netaart/cohub --skill cohub-generate -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install netaart/cohub cohub-generate --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/netaart/cohub.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/cohub-generate .gemini/skills/cohub-generate && 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 "cohub-generate" agent skill from https://github.com/netaart/cohub/tree/main/skills/cohub-generate into .gemini/skills/cohub-generate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cohub-generate", 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 netaart/cohub cohub-generateInstalls 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 netaart/cohub --skill cohub-generate -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/netaart/cohub.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/cohub-generate .github/skills/cohub-generate && 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 "cohub-generate" agent skill from https://github.com/netaart/cohub/tree/main/skills/cohub-generate into .github/skills/cohub-generate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cohub-generate", 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 netaart/cohub --skill cohub-generate -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install netaart/cohub cohub-generate --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/netaart/cohub.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/cohub-generate .opencode/skills/cohub-generate && 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 "cohub-generate" agent skill from https://github.com/netaart/cohub/tree/main/skills/cohub-generate into .opencode/skills/cohub-generate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cohub-generate", 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.
cohub-generateGenerate or transform images, video, speech, and music with Cohub multimodal models via cohub generate.
Cohub Generate is an agent skill from netaart/cohub. Generate or transform images, video, speech, and music with Cohub multimodal models via cohub generate. Use when the user asks to create, edit, restyle, animate, remove backgrounds, synthesize speech (TTS), or generate songs.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Media & Creative, covering Text to speech and voice and Image editing. The repository describes itself as: A living space where people and agents create, play, and build together. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit 1a4b7c1. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
npmFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.
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.
Cohub Generate loads about 1.2k tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 328 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 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.
The full file from netaart/cohub at commit 1a4b7c1, republished under its Apache-2.0 licence (© netaart). 328 words, ~1,176 tokens.
.claude/skills/cohub-generate/SKILL.md (or your agent's skills folder).Use cohub generate to create or transform images, video, speech, and music.
Prefer simple, explicit commands. Use --json when reading output for decisions, extracting URLs, or chaining commands. If a target Space is required, add -s "$COHUB_SPACE_ID" or an explicit Space ID.
If cohub is unavailable, install it and check availability:
npm install -g @neta-art/cohub-cli
cohub --helpAlways resolve models from the live list; do not hardcode a catalog.
cohub models ls --model-type multimodal --jsonTypical categories: text-to-image / image editing, text-to-video / image-to-video, text-to-speech (TTS), background removal, music.
Before using non-default parameters or reference media, inspect the model schema for supported inputs, roles, parameters, defaults, and examples:
cohub models show <model> --jsonDefault to returning generated result links directly, with Markdown preview when possible ( for images, direct links for video and audio). Save locally only when the user asks for a file download, local editing, or post-processing.
Generate from text:
cohub generate "a calm lake at sunrise" \
--model <model>Generate with reference media:
cohub generate "restyle this image" \
--model <model> \
--image ./input.png \
--param size=1024x1024Supported inputs: --image, --video, and --audio, each repeatable. Pass a URL or a local path; local files upload to an unlisted public URL first, so tasks store a reference instead of inline data. For files that must stay private, add --inline to keep them inside the task.
When a model requires input roles, prefix the path or URL:
cohub generate "smooth transition between two shots" \
--model <model> \
--image first_frame=https://example.com/first.png \
--image last_frame=https://example.com/last.png
cohub generate "keep these characters consistent" \
--model <model> \
--image reference_image=https://example.com/a.png \
--image reference_image=https://example.com/b.png
cohub generate "lip-sync to this spoken take" \
--model <model> \
--image reference_image=https://example.com/portrait.png \
--audio reference_audio=https://example.com/speech.mp3Roles include first_frame, last_frame, reference_image, reference_video, and reference_audio. Check models show for what a model accepts. Do not mix first/last frame roles with reference roles. Seedance 2 reference audio needs an image or video in the same request.
Pass generation parameters with --param key=value (repeatable; JSON, number, or boolean values) or --parameters '<json>':
cohub generate "cinematic drone shot over misty mountains" \
--model <model> \
--param duration=5 \
--param resolution=720p \
--param ratio=16:9Results print their media facts when available, and videos their last frame:
video 720×1280 · 11.0s: https://…/clip.mp4
last frame: https://…/last.webpWith --json, the same facts are in outputMedia (index matches output).
Other useful flags:
cohub generate "..." --model <model> --output ./out.png # save locally
cohub generate "..." --model <model> --async # queue and return
cohub generate "..." --model <model> --timeout-ms 120000 # sync wait limit
cohub generate "..." --model <model> --meta '<json>' # pass model metadataDesign a voice from text:
cohub generate "Welcome to Cohub. This voice was created from a description." \
--model qwen-audio-3.0-tts-plus \
--meta '{"voice_prompt":"A calm, clear male narrator with a warm tone"}'Clone one voice from a public reference URL:
cohub generate "Welcome to Cohub. This voice follows the reference recording." \
--model higgs-tts \
--audio "$REFERENCE_AUDIO_URL"Animate a still image:
cohub generate "<motion prompt>" \
--model <model> \
--image first_frame=./still.pngContinue a clip: pass its last frame as the next clip's first frame:
cohub generate "<next shot>" \
--model <model> \
--image first_frame=<last frame URL>Edit or restyle with a reference image:
cohub generate "<edit instruction>" \
--model <model> \
--image ./input.pngFor less common options, use cohub generate -h.
© netaart, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/cohub-generate of netaart/cohub.
Open the folder on GitHubat commit 1a4b7c1
Cohub Generate 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 |
|---|---|---|---|---|---|---|
| Cohub Generate this skillnetaart/cohub | 570 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Media Useedenfunf/reelmimic | 1.7k | 2 repos | ~2k | Automated safety check: Pass | MIT | |
| HyperFrames Media Useheygen-com/hyperframes | 59k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Media Genclacky-ai/openclacky | 1.2k | — | ~7.3k | Automated safety check: Pass | MIT | |
| Audio And Videoglifxyz/glif-mcp-server | 212 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Hyperframesscott-fryxell/brayness | 124 | — | ~3.2k | Automated safety check: Pass | MIT |
edenfunf/reelmimic
Agent Media OS, the single skill for every media need in a HyperFrames project.
heygen-com/hyperframes
Finds, generates and edits media for HyperFrames video projects: music, sound effects, images, icons, logos, voiceovers, captions and color grades.
clacky-ai/openclacky
Generate or edit images, videos, or audio in the current task.
glifxyz/glif-mcp-server
Make or edit audio and video with Glif instead of writing generation code or using another tool.
scott-fryxell/brayness
Create video compositions, animations, title cards, overlays, captions, voiceovers, audio-reactive visuals, and scene transitions in HyperFrames HTML.
hassancs91/claude-youtube-editor
Voice/audio cleanup step of the AI Video Editor pipeline — diagnose a video's background noise, pick the right denoise method, and produce a cleaned master (voice isolated, levels preserved, video…
netaart/cohub
A skill your agent uses when loading and managing resources in PixiJS v8.
netaart/cohub
A skill your agent uses when reasoning about the PixiJS v8 scene graph as a whole: how containers, leaves, transforms, and render order fit together.
netaart/cohub
A skill your agent uses when rendering custom geometry in PixiJS v8.
netaart/cohub
A skill your agent uses when drawing images in PixiJS v8. An agent skill from netaart/cohub.
netaart/cohub
A skill your agent uses when rendering text in PixiJS v8. An agent skill from netaart/cohub.
netaart/cohub
A skill your agent uses when understanding how PixiJS v8 renders frames: the systems-and-pipes renderer, the render loop, and how the library adapts to different environments.
Categories
Generate or transform images, video, speech, and music with Cohub multimodal models via cohub generate. Cohub Generate is an agent skill from netaart/cohub. Generate or transform images, video, speech, and music with Cohub multimodal models via cohub generate.
Cohub Generate fits situations like: the user asks to create; remove backgrounds; synthesize speech (TTS).
Run `npx skills add netaart/cohub --skill cohub-generate -a claude-code`. Or copy the skill folder (skills/cohub-generate in netaart/cohub) into .claude/skills/cohub-generate in your project. Claude Code loads it when a task matches its description.
Run `npx skills add netaart/cohub --skill cohub-generate -a codex`. Or copy the skill folder (skills/cohub-generate in netaart/cohub) into .agents/skills/cohub-generate 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 netaart/cohub --skill cohub-generate -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cohub-generate, .gemini/skills/cohub-generate, .github/skills/cohub-generate and .opencode/skills/cohub-generate in your project.
Going by SKILL.md and its folder, Cohub Generate needs the command-line tools its instructions call (npm). Our summary lists: Node.js.
SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
Cohub Generate is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Cohub Generate: Media Use (edenfunf/reelmimic, 1.7k stars), HyperFrames Media Use (heygen-com/hyperframes, 59k stars), Media Gen (clacky-ai/openclacky, 1.2k stars) and Audio And Video (glifxyz/glif-mcp-server, 212 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
netaart (a GitHub organization) maintains it in netaart/cohub, which has 570 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on October 8, 2026.
Source: netaart/cohub on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.