Canva Designer
asgeirtj/system_prompts_leaks
Creates and edits Canva designs, generates images and works with brand kits through the canva CLI and Canva's official MCP server, from decks to social posts.
A skill your agent uses when generating or editing images with Seedream models on Scenario via MCP: text-to-image, image-to-image editing with reference images, posters or packaging with exact…
$ npx skills add scenario-labs/skills --skill scenario-seedream -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install scenario-labs/skills scenario-seedream --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/scenario-labs/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/scenario-seedream .claude/skills/scenario-seedream && 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 "scenario-seedream" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-seedream into .claude/skills/scenario-seedream/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-seedream", 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/scenario-labs/skills/tree/main/skills/scenario-seedreamType 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 scenario-labs/skills --skill scenario-seedream -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install scenario-labs/skills scenario-seedream --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/scenario-seedream .agents/skills/scenario-seedream && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "scenario-seedream" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-seedream into .agents/skills/scenario-seedream/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-seedream", 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 scenario-labs/skills --skill scenario-seedream -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install scenario-labs/skills scenario-seedream --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/scenario-seedream .cursor/skills/scenario-seedream && 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 "scenario-seedream" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-seedream into .cursor/skills/scenario-seedream/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-seedream", 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/scenario-labs/skills.git --path skills/scenario-seedream--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 scenario-labs/skills --skill scenario-seedream -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install scenario-labs/skills scenario-seedream --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/scenario-seedream .gemini/skills/scenario-seedream && 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 "scenario-seedream" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-seedream into .gemini/skills/scenario-seedream/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-seedream", 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 scenario-labs/skills scenario-seedreamInstalls 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 scenario-labs/skills --skill scenario-seedream -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/scenario-seedream .github/skills/scenario-seedream && 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 "scenario-seedream" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-seedream into .github/skills/scenario-seedream/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-seedream", 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 scenario-labs/skills --skill scenario-seedream -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install scenario-labs/skills scenario-seedream --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/scenario-seedream .opencode/skills/scenario-seedream && 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 "scenario-seedream" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-seedream into .opencode/skills/scenario-seedream/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-seedream", 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.
scenario-seedreamA skill your agent uses when generating or editing images with Seedream models on Scenario via MCP: text-to-image, image-to-image editing with reference images, posters or packaging with exact…
Scenario Seedream is an agent skill from scenario-labs/skills. Use when generating or editing images with Seedream models on Scenario via MCP: text-to-image, image-to-image editing with reference images, posters or packaging with exact in-image text (non-Latin scripts too), subject-preserving edits, sets of related images in one run, editing a transparent asset without losing its alpha, or splitting an image into transparent PNG layers with Layerize. Keywords: Seedream 5.0 Pro, Lite, Flash, 4.5, Layerize, ByteDance, txt2img, img2img, layer extraction.
Its SKILL.md is about 2.2k 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 Image generation and Image editing. It works with Model Context Protocol. The repository describes itself as: Get production-ready images, video, audio, and 3D from any AI agent: skills that pick the right model, price before spending, and keep characters and brands consistent through… The licence is MIT.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit f6f8ab7. 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:
npxuvFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npx and uv, 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.
Scenario Seedream loads about 2.2k tokens when it runs. Until then it costs about 128 tokens; SKILL.md has 1,157 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 scenario-labs/skills at commit f6f8ab7, republished under its MIT licence (© scenario-labs). 1,157 words, ~2,161 tokens.
.claude/skills/scenario-seedream/SKILL.md (or your agent's skills folder).Seedream, ByteDance's image family on Scenario, spans generation, reference-driven editing, and one member that only takes images apart: Layerize splits a finished image into editable layers. The members agree on little else, so discover them with search and read model_schema_get before every run.
Connection and the core loop: see the scenario skill; model-agnostic image work: the scenario-image skill. If a sibling skill named here is missing from your available skills, ask the user to install it (npx skills add scenario-labs/skills --skill <name>); unattended, proceed from tool schemas and flag the gap.
At authoring time (fields and caps are per member, read the live schema):
| Member | References | Sizing | Notes |
|---|---|---|---|
| 5.0 Pro | referenceImages, up to 10 | exact width and height, 672 to 3136 px, step 16 | exact in-image text; 3500-char prompt |
| 5.0 Lite | referenceImages, up to 14 | width and height, up to 4K | fast and cheap; 2048-char prompt |
| 5.0 Flash | referenceImages, up to 10 | exact width and height, 672 to 3136 px, step 16 | cheapest; background keeps a reference's alpha |
| 4.5 | referenceImages | size (2K, 4K) plus aspectRatio enum | subject-preserving edits; "auto" ratio follows the source |
| 5.0 Pro Layerize | one image, required | size tier: auto, 1K, 1.5K, 2K | splits, never generates; prompt optional |
| 5.0 Flash Layerize | one image, required | size tier: auto, 1K, 1.5K, 2K | same contract minus optimizePromptMode |
On the generators, mode follows from the inputs: empty referenceImages is text-to-image, one or more is an edit or a multi-reference generation (with several, the prompt gives each reference a role by position), and the array shape holds even for one asset. Sequence mode (sequentialImageGeneration: "auto" plus maxImages) lets Lite and 4.5 return a related set in one run, input plus generated capped at 15 images; Pro has no sequence fields. Price per image differs widely: a 2048 px square quoted 4 CU on Flash, 6 on Lite, and 18 on Pro at authoring time, and Pro took about two minutes against under one, so iterate on the cheap members and spend Pro on finals; dry_run both before a batch (the estimate prices the run exactly as submitted, a whole sequence included). Pro and Pro Layerize carry optimizePromptMode: the default standard reasons about the prompt first and is slower; fast costs the same and is usually enough when a reference already sets the composition (on Layerize it trades some split fidelity for speed). Flash's schema says width and height apply only when Resolution is Custom, but Flash has no Resolution field: the pixels apply directly.
Flash's background: "transparent" preserves alpha through an edit; it does not cut a subject out. It keeps the transparent surround, not translucency inside the subject: glass at alpha 170 came back near-opaque in one authoring-time test, so composite a translucent part in post. The field defaults to opaque, so a restyle that omits it flattens a valid cutout: set it on every run that must stay transparent. It applies only with exactly one reference image that already carries an alpha channel, and is ignored otherwise: a text-only run, a flattened JPEG reference, or two references all come back opaque without an error. So restyle or recolor an existing cutout (a sprite, an icon, a prop) on Flash with the PNG as the one reference, and check the result's alpha on the downloaded file before shipping it, since asset_display composites transparency away: with Pillow (uv run --with pillow when it is missing), Image.open(path).getchannel("A").getextrema() should start at 0 (fully transparent pixels exist), and an image with no A channel was flattened. To get a cutout in the first place, generate on a plain field and run background removal (the scenario-image-editing skill), or split the image with Layerize.
Pro renders legible in-image text, multi-line layouts and non-Latin scripts included. Quote the exact strings in the prompt instead of paraphrasing them, give each a position and a size rank (headline across the top, date line small at the foot), and keep to a few elements at one or two sizes: letters are drawn, not typeset, so paragraphs and many small labels turn to shapes, and copy past that budget (tour dates, credits) is composited in post from the start. Proofread with asset_display; a word that garbles is spelled out letter by letter after the quoted string on the rerun, and one that still garbles goes to post. To swap copy on a reference, quote the new string, pin its position, and require the original typeface, size and color with everything else unchanged.
Layerize returns a base layer plus up to 16 transparent PNG cutouts, rebuilding the background behind whatever it lifts. The prompt picks the mode: empty runs a full automatic split; an enumerated list of parts ("Separate this poster into transparent layers: headline, product, shadow, background") cuts better than "all layers"; <bbox>x1 y1 x2 y2</bbox> on a 0 to 1000 grid, origin top left, confines the split to one region. Set size explicitly, since auto inherits the source's tier and the tier moves the price; cost is otherwise flat per run, not per layer. Layers come back cropped to their own bounds with bbox and z-index metadata, not aligned to the source canvas, and there is no PSD export.
search with target="models", query="seedream", public=true. Prefer the newest non-deprecated hit for the job, e.g. model_bytedance-seedream-5-0-pro (a live hit at authoring time: re-discover each session).model_schema_get with that id: sizing fields, caps, defaults.model_run with that id, dry_run=true, and parameters={"prompt": "Concert poster, teal and cream, screen-print grain. Headline \"MIDNIGHT ORBIT\" across the top, date line \"Nov 14, Union Hall\" small at the foot.", "width": 1600, "height": 2368}; both sizing fields move price.model_run with wait=false, then jobs_wait with the returned job id, re-called with pending_job_ids on timeout, never a second model_run.asset_display and proofread the rendered text.model_schema_get on the Layerize hit, then model_run with that id and parameters={"image": "<poster asset id>", "prompt": "Separate this poster into transparent layers: the headline text, the date line, and the background. Clean edges, complete transparency.", "size": "2K"}.jobs_wait, then asset_display each layer and asset_download the keepers.referenceImages to Layerize or image to the generators: the input field's name and shape differ per member.background to transparent on a text-only run or a flattened reference: it is silently ignored, and the image comes back opaque.© scenario-labs, MIT. 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/scenario-seedream of scenario-labs/skills.
Open the folder on GitHubat commit f6f8ab7
Scenario Seedream 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 |
|---|---|---|---|---|---|---|
| Scenario Seedream this skillscenario-labs/skills | 946 | — | ~2.2k | Automated safety check: Pass | MIT | |
| Canva Designerasgeirtj/system_prompts_leaks | 69k | — | ~2.1k | Automated safety check: Pass | CC0-1.0 | |
| Olore Recraft Latestolorehq/olore | 104 | — | ~773 | Automated safety check: Pass | MIT | |
| Nano Banana Proswarmclawai/swarmclaw | 689 | — | ~481 | Automated safety check: Pass | MIT | |
| Imageguaardvark/guaardvark | 258 | — | ~1.8k | Automated safety check: Pass | MIT | |
| AI Image Generation and Editingzhayujie/CowAgent | 47k | — | ~1.3k | Automated safety check: Pass | MIT |
asgeirtj/system_prompts_leaks
Creates and edits Canva designs, generates images and works with brand kits through the canva CLI and Canva's official MCP server, from decks to social posts.
olorehq/olore
Local recraft documentation reference (latest). An agent skill from olorehq/olore.
swarmclawai/swarmclaw
Generate or edit images via Gemini 3 Pro Image (Nano Banana Pro).
guaardvark/guaardvark
Generate or edit images on the user's own GPU through Guaardvark: single images, instruction edits, background cut-outs, inpaint and outpaint, consistent characters from the Cast Library, and batch…
zhayujie/CowAgent
Generates or edits images from text prompts through a Python script that picks an image backend based on which API keys are configured.
ynulihao/AgentSkillOS
Generate or edit images using AI models (FLUX, Gemini). An agent skill from ynulihao/AgentSkillOS.
scenario-labs/skills
A skill your agent uses when drawing or animating with Grease Pencil in Blender 5.x from Python: 2D or 2.5D illustration, frame-by-frame animation, a cutout or part-based 2D character, strokes with…
scenario-labs/skills
A skill your agent uses when grooming hair or fur in Blender with hair curves, such as a character hairstyle, animal fur, procedural fur in geometry nodes, or hair cards and mesh hair for games.
scenario-labs/skills
A skill your agent uses when lighting, rendering or compositing in Blender: light a character, product or hero shot, interior at dusk or night, three-point or motivated lighting, sun and sky, HDRI…
scenario-labs/skills
A skill your agent uses when creating a ChatGPT pet or Codex pet with Scenario: hatching an animated companion from a text idea, a character, mascot or brand cue, or reference photos and art; making…
scenario-labs/skills
A skill your agent uses when animating characters or scenes in Godot 4.7: AnimationPlayer clips and RESET, AnimationTree state machines and blend spaces built in code, Mixamo or glTF import, loop…
scenario-labs/skills
A skill your agent uses when adding or fixing sound in Godot 4.7: audio buses and effects, volume sliders, 'too many sounds', combat audio with hundreds of enemies, sounds clipping or distorting, 3D…
Works with
Categories
A skill your agent uses when generating or editing images with Seedream models on Scenario via MCP: text-to-image, image-to-image editing with reference images, posters or packaging with exact…. Scenario Seedream is an agent skill from scenario-labs/skills. Use when generating or editing images with Seedream models on Scenario via MCP: text-to-image, image-to-image editing with reference images, posters or packaging with exact in-image text (non-Latin scripts too), subject-preserving edits, sets of related images in one run, editing a transparent asset without losing its alpha, or splitting an image into transparent PNG layers with Layerize.
Scenario Seedream fits situations like: editing images with Seedream models on Scenario via MCP: text-to-image; image-to-image editing with reference images; packaging with exact in-image text (non-Latin scripts too); subject-preserving edits.
Run `npx skills add scenario-labs/skills --skill scenario-seedream -a claude-code`. Or copy the skill folder (skills/scenario-seedream in scenario-labs/skills) into .claude/skills/scenario-seedream in your project. Claude Code loads it when a task matches its description.
Run `npx skills add scenario-labs/skills --skill scenario-seedream -a codex`. Or copy the skill folder (skills/scenario-seedream in scenario-labs/skills) into .agents/skills/scenario-seedream 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 scenario-labs/skills --skill scenario-seedream -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scenario-seedream, .gemini/skills/scenario-seedream, .github/skills/scenario-seedream and .opencode/skills/scenario-seedream in your project.
Going by SKILL.md and its folder, Scenario Seedream needs the command-line tools its instructions call (npx and uv). Our summary lists: Node.js.
SKILL.md contains no URLs. Its commands use npx and uv, 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.
Scenario Seedream is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.2k tokens (SKILL.md is roughly 8.6k 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 Scenario Seedream: Canva Designer (asgeirtj/system_prompts_leaks, 69k stars), Olore Recraft Latest (olorehq/olore, 104 stars), Nano Banana Pro (swarmclawai/swarmclaw, 689 stars) and Image (guaardvark/guaardvark, 258 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
scenario-labs (a GitHub organization) maintains it in scenario-labs/skills, which has 946 GitHub stars. The repository holds 146 skills in this directory. The repository was last updated on October 10, 2026.
Source: scenario-labs/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.