Category: provider
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionalicloud-ai-image-qwen-image-editExecute the skills CLI command in your project's root directory to begin installation:
Fetches alicloud-ai-image-qwen-image-edit from cinience/alicloud-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate alicloud-ai-image-qwen-image-edit. Access via /alicloud-ai-image-qwen-image-edit in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Category: provider
mkdir -p output/alicloud-ai-image-qwen-image-edit
python -m py_compile skills/ai/image/alicloud-ai-image-qwen-image-edit/scripts/prepare_edit_request.py && echo "py_compile_ok" > output/alicloud-ai-image-qwen-image-edit/validate.txt
Pass criteria: command exits 0 and output/alicloud-ai-image-qwen-image-edit/validate.txt is generated.
output/alicloud-ai-image-qwen-image-edit/.Use Qwen Image Edit models for instruction-based image editing instead of text-to-image generation.
Use one of these exact model strings:
qwen-image-editqwen-image-edit-plusqwen-image-edit-maxqwen-image-2.0qwen-image-2.0-proqwen-image-2.0-2026-03-03qwen-image-2.0-pro-2026-03-03qwen-image-edit-plus-2025-12-15qwen-image-edit-max-2026-01-16python3 -m venv .venv
. .venv/bin/activate
python -m pip install dashscope
DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.prompt (string, required)image (string | bytes, required) source image URL/path/bytesmask (string | bytes, optional) inpaint region masksize (string, optional) e.g. 1024*1024seed (int, optional)image_url (string)seed (int)request_id (string)Prepare a normalized request JSON and validate response schema:
.venv/bin/python skills/ai/image/alicloud-ai-image-qwen-image-edit/scripts/prepare_edit_request.py \
--prompt "Replace the sky with sunset, keep buildings unchanged" \
--image "https://example.com/input.png"
output/alicloud-ai-image-qwen-image-edit/images/OUTPUT_DIR.references/sources.mdPrerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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inferen-sh/skills
giuseppe-trisciuoglio/developer-kit
Keeps context tight: alicloud-ai-image-qwen-image-edit is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added alicloud-ai-image-qwen-image-edit from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: alicloud-ai-image-qwen-image-edit is the kind of skill you can hand to a new teammate without a long onboarding doc.
alicloud-ai-image-qwen-image-edit is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
alicloud-ai-image-qwen-image-edit reduced setup friction for our internal harness; good balance of opinion and flexibility.
alicloud-ai-image-qwen-image-edit has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: alicloud-ai-image-qwen-image-edit is focused, and the summary matches what you get after install.
alicloud-ai-image-qwen-image-edit fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend alicloud-ai-image-qwen-image-edit for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: alicloud-ai-image-qwen-image-edit is focused, and the summary matches what you get after install.
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