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iamyoki/qwen-image-2.1-skill

๐ŸŽจ Agentic skill for Qwen-Image-2.1: Rewrites and optimizes text-to-image and multi-image editing prompts using official Alibaba specifications. Compatible with skills.sh and all AI agents.

Python โ—‡ image-generation Apache-2.0
โ˜…148STARS
โ‘‚10FORKS
!0ISSUES
๐Ÿ†#18,496GLOBAL RANK
๐Ÿ”ฅ34DAYS TRENDING
๐Ÿš€
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โšก Executive Summary & Quick Facts

Authoritative Source

qwen-image-2.1-skill is qwen-image-2.1-skill is an open-source project written in Python: ๐ŸŽจ Agentic skill for Qwen-Image-2.1: Rewrites and optimizes text-to-image and multi-image editing prompts using official Alibaba specifications. Compatible with skills.sh and all AI agents..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), iamyoki/qwen-image-2.1-skill has accumulated 148 GitHub stars and 10 forks. It is written in Python, licensed under Apache-2.0, and ranks #18,496 globally. It is actively maintained with the latest commit recorded on Sep 22, 2026.”
Repository iamyoki/qwen-image-2.1-skill โ†—
Primary Category image generation
Language & Stack Python
Software License Apache-2.0
Community Traction โ˜… 148 stars ยท โ‘‚ 10 forks ยท #18,496 globally
Maintenance โ— Active (Last commit: Sep 22, 2026) ยท 0 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

๐Ÿ›ก๏ธ Repository Maintenance & Health Audit (2026)

Health Score: 88/100 ยท Grade A
โœ…
Is qwen-image-2.1-skill actively maintained in 2026?
Verdict: Actively Maintained

Yes, qwen-image-2.1-skill is actively maintained. Continuous telemetry recorded the last code commit on Sep 22, 2026 (40 days ago). Supported by 148 stars and 10 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (40 days ago) and healthy issue cadence.

Commit Recency
Sep 22, 2026
40 days since last push
Issue Backlog
0 Open Issues
Healthy Issue Cadence
Community Backing
10 Forks
148 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for iamyoki/qwen-image-2.1-skill
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Momentum

+22

STARS ยท LAST 30 DAYS

1

PER DAY

#2,344

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+22+90
Per day111
Forks gained+0+2+10

qwen-image-2.1-skill gained 22 stars in the last 30 days, about 1 a day, and now has 148. It is about 1 year old and has averaged roughly 148 stars a year. It ranks #2,344 among Python repositories and #18,496 across all languages on GitHubRepo.

Trending Record

qwen-image-2.1-skill has maintained a continuous presence across global trending indexes, peaking at #517. Below is the 30-day activity profile:

๐Ÿ’ก Overview

qwen-image-2.1-skill is an open-source project written in Python: ๐ŸŽจ Agentic skill for Qwen-Image-2.1: Rewrites and optimizes text-to-image and multi-image editing prompts using official Alibaba specifications. Compatible with skills.sh and all AI agents.

Engineered for speed, consistency, and developer ease, it solves common hurdles in image-generation, qwen, qwen-image. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

โšก Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

๐Ÿ“ฅ Installation

terminal
$ pip install qwen-image-2.1-skill

โš™ System Requirements

Platforms

  • โ€ข macOS
  • โ€ข Linux
  • โ€ข Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

๐Ÿง  How It Works

qwen-image-2.1-skill coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

๐ŸŽฏ Production Use Cases

Production System Integration

Embed qwen-image-2.1-skill into Python backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open Apache-2.0 license.

๐Ÿš€ Getting Started

1

Install qwen-image-2.1-skill using your package manager: `pip install qwen-image-2.1-skill`

2

Initialize your project workspace or configuration file for qwen-image-2.1-skill.

3

Import qwen-image-2.1-skill into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `qwen-image-2.1-skill --help` to verify successful setup.

๐Ÿ‘ Strengths

Active community backing with 96 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

โš ๏ธ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

โ‡„ Alternatives & Direct Competitors

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๐Ÿ‘ฅ Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

๐Ÿ† Nearby in the Rankings

iamyoki/qwen-image-2.1-skill is currently ranked #18,496 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#18,442 cramt/m365-copilot-proxy TypeScript โ˜… 149 Compare โ†—
#18,442 skillsynchq/txcript Rust โ˜… 149 Compare โ†—
#18,442 Strategic-Automation/violin Python โ˜… 149 Compare โ†—
#18,442 Sultech/simple-taskbar JavaScript โ˜… 149 Compare โ†—
#18,442 kackerx/sqlmux Go โ˜… 149 Compare โ†—
#18,496 iamyoki/qwen-image-2.1-skill This Project Python โ˜… 148
#18,496 emonti/rbkb Ruby โ˜… 148 Compare โ†—
#18,496 apache/openjpa Java โ˜… 148 Compare โ†—
#18,496 vslavik/bakefile Python โ˜… 148 Compare โ†—
#18,496 digitalfox/pydici Python โ˜… 148 Compare โ†—
#18,496 ornicar/php-user-agent PHP โ˜… 148 Compare โ†—
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Frequently Asked Questions

What does qwen-image-2.1-skill do? +

๐ŸŽจ Agentic skill for Qwen-Image-2.1: Rewrites and optimizes text-to-image and multi-image editing prompts using official Alibaba specifications. Compatible with skills.sh and all AI agents.

Is qwen-image-2.1-skill actively maintained in 2026? +

Yes, qwen-image-2.1-skill is actively maintained. The latest code push was recorded on Sep 22, 2026 (40 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 148 stars and 0 open issues.

What language is qwen-image-2.1-skill written in? +

The primary language is Python. Topics include: image-generation, qwen, qwen-image, qwen-image-2-1, skills.

How many stars does qwen-image-2.1-skill have? +

qwen-image-2.1-skill has 148 stars and 10 forks on GitHub.

How does qwen-image-2.1-skill rank among GitHub repositories? +

With 148 stars, iamyoki/qwen-image-2.1-skill is ranked #18,496 globally across all repositories tracked on GitHubRepo and #2,344 among Python projects.

What license is qwen-image-2.1-skill distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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