Checkout
remotion-dev/remotion
Checkout a requested branch or ref in the Remotion repo, rename the current task to the associated PR title when running in Codex, then install dependencies and build.
Prepare a SparkDiffusion checkout for training or inference.
Apache-2.0Auto-check passed
Install Sparkdiffusion Setup
$ npx skills add AlibabaResearch/SparkDiffusion --skill sparkdiffusion-setup -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AlibabaResearch/SparkDiffusion sparkdiffusion-setup --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/AlibabaResearch/SparkDiffusion.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/sparkdiffusion-setup .claude/skills/sparkdiffusion-setup && 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 "sparkdiffusion-setup" agent skill from https://github.com/AlibabaResearch/SparkDiffusion/tree/main/.agents/skills/sparkdiffusion-setup into .claude/skills/sparkdiffusion-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sparkdiffusion-setup", 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/AlibabaResearch/SparkDiffusion/tree/main/.agents/skills/sparkdiffusion-setupType 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 AlibabaResearch/SparkDiffusion --skill sparkdiffusion-setup -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AlibabaResearch/SparkDiffusion sparkdiffusion-setup --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AlibabaResearch/SparkDiffusion.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/sparkdiffusion-setup .agents/skills/sparkdiffusion-setup && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sparkdiffusion-setup" agent skill from https://github.com/AlibabaResearch/SparkDiffusion/tree/main/.agents/skills/sparkdiffusion-setup into .agents/skills/sparkdiffusion-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sparkdiffusion-setup", 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 AlibabaResearch/SparkDiffusion --skill sparkdiffusion-setup -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AlibabaResearch/SparkDiffusion sparkdiffusion-setup --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AlibabaResearch/SparkDiffusion.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/sparkdiffusion-setup .cursor/skills/sparkdiffusion-setup && 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 "sparkdiffusion-setup" agent skill from https://github.com/AlibabaResearch/SparkDiffusion/tree/main/.agents/skills/sparkdiffusion-setup into .cursor/skills/sparkdiffusion-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sparkdiffusion-setup", 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/AlibabaResearch/SparkDiffusion.git --path .agents/skills/sparkdiffusion-setup--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 AlibabaResearch/SparkDiffusion --skill sparkdiffusion-setup -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AlibabaResearch/SparkDiffusion sparkdiffusion-setup --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AlibabaResearch/SparkDiffusion.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/sparkdiffusion-setup .gemini/skills/sparkdiffusion-setup && 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 "sparkdiffusion-setup" agent skill from https://github.com/AlibabaResearch/SparkDiffusion/tree/main/.agents/skills/sparkdiffusion-setup into .gemini/skills/sparkdiffusion-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sparkdiffusion-setup", 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 AlibabaResearch/SparkDiffusion sparkdiffusion-setupInstalls 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 AlibabaResearch/SparkDiffusion --skill sparkdiffusion-setup -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AlibabaResearch/SparkDiffusion.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/sparkdiffusion-setup .github/skills/sparkdiffusion-setup && 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 "sparkdiffusion-setup" agent skill from https://github.com/AlibabaResearch/SparkDiffusion/tree/main/.agents/skills/sparkdiffusion-setup into .github/skills/sparkdiffusion-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sparkdiffusion-setup", 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 AlibabaResearch/SparkDiffusion --skill sparkdiffusion-setup -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install AlibabaResearch/SparkDiffusion sparkdiffusion-setup --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AlibabaResearch/SparkDiffusion.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/sparkdiffusion-setup .opencode/skills/sparkdiffusion-setup && 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 "sparkdiffusion-setup" agent skill from https://github.com/AlibabaResearch/SparkDiffusion/tree/main/.agents/skills/sparkdiffusion-setup into .opencode/skills/sparkdiffusion-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sparkdiffusion-setup", 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
sparkdiffusion-setup- GitHub stars
- 507
- Token cost
- ~732 tokens
- SKILL.md length
- 232 words
- Files
- 2
- Skills in repo
- 4
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Prepare a SparkDiffusion checkout for training or inference.
- Works in 7 steps: Identify the repository root and inspect… → Verify Python, PyTorch, CUDA, and GPU… → Install the repository requirements in… → …
- A user asks to install dependencies
- SKILL.md covers Rules, Workflow and Path Contract
- Calls python, pip and bash
What it does
Sparkdiffusion Setup is an agent skill from AlibabaResearch/SparkDiffusion. Prepare a SparkDiffusion checkout for training or inference. Use when a user asks to install dependencies, configure model/data/output paths, validate a new machine, or troubleshoot missing weights and datasets.
Its SKILL.md is about 730 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).
The licence is Apache-2.0.
When your agent uses it
- A user asks to install dependencies
- Configure model/data/output paths
- Validate a new machine
- Troubleshoot missing weights and datasets
Example prompts
- “/sparkdiffusion-setup”
Requirements
- Python 3
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Identify the repository root and inspect requirements.txt, scripts/env.sh, and README.md.
- Verify Python, PyTorch, CUDA, and GPU visibility
- Install the repository requirements in the active environment, using a CUDA-matched PyTorch build
- Configure repository roots
- For sparse finetuning or RoLa distillation, configure the external SLA checkout before starting Python
- Check the expected layout
- Validate source and launchers without starting a job
What it can do on your machine
Read from SKILL.md and the folder at commit caad1df. 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
Shell commands in SKILL.md call:
pythonpipbash
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
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
Sparkdiffusion Setup loads about 732 tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 232 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 AlibabaResearch/SparkDiffusion at commit caad1df, republished under its Apache-2.0 licence (© AlibabaResearch). 232 words, ~732 tokens.
Download SKILL.mdSave it as
.claude/skills/sparkdiffusion-setup/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- sparkdiffusion-setup
- description
- Prepare a SparkDiffusion checkout for training or inference. Use when a user asks to install dependencies, configure model/data/output paths, validate a new machine, or troubleshoot missing weights and datasets.
SparkDiffusion Setup
Use this skill before launching training or inference on a fresh checkout or a new server.
Rules
- Work from the repository root.
- Prefer repository-relative paths and environment variables. Do not hard-code machine-specific paths.
- Do not download or copy model weights into git-tracked source directories.
- Do not launch a GPU job until the preflight checks pass.
- Preserve the user's existing environment; only install packages after showing the proposed command.
Workflow
Identify the repository root and inspect
requirements.txt,scripts/env.sh, andREADME.md.Verify Python, PyTorch, CUDA, and GPU visibility:
bash python --version python -c "import torch; print(torch.__version__, torch.version.cuda, torch.cuda.is_available(), torch.cuda.device_count())"Install the repository requirements in the active environment, using a CUDA-matched PyTorch build:
bash pip install -r requirements.txtConfigure repository roots:
bash source scripts/env.shOverride only the roots that live outside the checkout:
bash PRETRAIN_ROOT=/path/to/pretrain_weights \ DISTILL_DATA_ROOT=/path/to/distill_data \ ROLA_DATA_ROOT=/path/to/rola_data \ DISTILL_OUTPUT_ROOT=/path/to/distill_outputs \ ROLA_OUTPUT_ROOT=/path/to/rola_outputs \ source scripts/env.shFor sparse finetuning or RoLa distillation, configure the external SLA checkout before starting Python:
bash export SLA_SRC=/absolute/path/to/SLA test -d "${SLA_SRC}/sparse_linear_attention"Standard dense and fused RoLa inference do not require
SLA_SRC. PureSLA, unfused RoLa, and legacy INT8 sparse inference do.Check the expected layout:
text pretrain_weights/ datasets/distill/ datasets/rola/ outputs/distill/ outputs/rola/Validate source and launchers without starting a job:
bash python -m compileall -q sparkdiffusion imaginaire scripts bash -n scripts/env.sh scripts/distill/*.sh scripts/sparse_finetune/*.sh scripts/inference/*.sh
Path Contract
- Wan model and tokenizer assets belong under
PRETRAIN_ROOT. - Distillation shards belong under
DISTILL_DATA_ROOT. - Sparse-finetuning shards belong under
ROLA_DATA_ROOT. - Training outputs belong under
DISTILL_OUTPUT_ROOTorROLA_OUTPUT_ROOT. - Generated videos belong under
outputs/inference/unlessOUT_ROOTor an explicit output argument is supplied.
When a required path is missing, report the exact expected path and stop. Do not silently substitute a local absolute path or a different model variant.
© AlibabaResearch, 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
Files
SKILL.md and 1 other file in .agents/skills/sparkdiffusion-setup of AlibabaResearch/SparkDiffusion.
- SKILL.md
- agents/openai.yaml
Open the folder on GitHubat commit caad1df
Compare with similar skills
Sparkdiffusion Setup 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 |
|---|---|---|---|---|---|---|
| Sparkdiffusion Setup this skillAlibabaResearch/SparkDiffusion | 507 | — | ~732 | Automated safety check: Pass | Apache-2.0 | |
| Checkoutremotion-dev/remotion | 62k | — | ~166 | Automated safety check: Pass | Custom licence | |
| Ito Inferenceaffaan-m/ECC | 275k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Train Infer Consistencyverl-project/verl-omni | 1.2k | — | ~860 | Automated safety check: Pass | Apache-2.0 | |
| Ray Train Distributed TrainingOrchestra-Research/AI-Research-SKILLs | 13k | 3 repos | ~2.7k | Automated safety check: Pass | MIT | |
| Gke Inferencegoogle/skills | 21k | — | ~2k | Automated safety check: Pass | Apache-2.0 |
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More from AlibabaResearch/SparkDiffusion
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Sparkdiffusion Finetune
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Sparkdiffusion Inference
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Run validated SparkDiffusion inference for Wan 2.1 or Wan 2.2 T2V/I2V models.
Questions about Sparkdiffusion Setup
What does Sparkdiffusion Setup do?
Prepare a SparkDiffusion checkout for training or inference. Sparkdiffusion Setup is an agent skill from AlibabaResearch/SparkDiffusion. Prepare a SparkDiffusion checkout for training or inference.
When should I use Sparkdiffusion Setup?
Sparkdiffusion Setup fits situations like: A user asks to install dependencies; configure model/data/output paths; validate a new machine; troubleshoot missing weights and datasets.
How do I install Sparkdiffusion Setup in Claude Code?
Run `npx skills add AlibabaResearch/SparkDiffusion --skill sparkdiffusion-setup -a claude-code`. Or copy the skill folder (.agents/skills/sparkdiffusion-setup in AlibabaResearch/SparkDiffusion) into .claude/skills/sparkdiffusion-setup in your project. Claude Code loads it when a task matches its description.
How do I install Sparkdiffusion Setup in Codex?
Run `npx skills add AlibabaResearch/SparkDiffusion --skill sparkdiffusion-setup -a codex`. Or copy the skill folder (.agents/skills/sparkdiffusion-setup in AlibabaResearch/SparkDiffusion) into .agents/skills/sparkdiffusion-setup in your project. Codex loads it when a task matches its description.
Can I use Sparkdiffusion Setup 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 AlibabaResearch/SparkDiffusion --skill sparkdiffusion-setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sparkdiffusion-setup, .gemini/skills/sparkdiffusion-setup, .github/skills/sparkdiffusion-setup and .opencode/skills/sparkdiffusion-setup in your project.
What does Sparkdiffusion Setup need to run?
Going by SKILL.md and its folder, Sparkdiffusion Setup needs the command-line tools its instructions call (python, pip and bash). Our summary lists: Python 3.
Does Sparkdiffusion Setup access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Sparkdiffusion Setup 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 Sparkdiffusion Setup use?
Sparkdiffusion Setup 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.
How many tokens does Sparkdiffusion Setup use?
About 732 tokens (SKILL.md is roughly 2.9k 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 Sparkdiffusion Setup?
Skills that share tags, products or a category with Sparkdiffusion Setup: Checkout (remotion-dev/remotion, 62k stars), Ito Inference (affaan-m/ECC, 275k stars), Train Infer Consistency (verl-project/verl-omni, 1.2k stars) and Ray Train Distributed Training (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sparkdiffusion Setup?
AlibabaResearch (a GitHub organization) maintains it in AlibabaResearch/SparkDiffusion, which has 507 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on October 5, 2026.
Source: AlibabaResearch/SparkDiffusion on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.