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Work-Fisher
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Work-Fisher/fisher-moss-prompt-expander

Expand ideas into detailed image prompts with a Chinese SKILL and ComfyUI templates.

Python ◇ codex-skills Apache-2.0
★116STARS
⑂9FORKS
!0ISSUES
🏆#25,267GLOBAL RANK
🔥2DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

fisher-moss-prompt-expander is fisher-moss-prompt-expander is an open-source project written in Python: Expand ideas into detailed image prompts with a Chinese SKILL and ComfyUI templates..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), Work-Fisher/fisher-moss-prompt-expander has accumulated 116 GitHub stars and 9 forks. It is written in Python, licensed under Apache-2.0, and ranks #25,267 globally. It is actively maintained with the latest commit recorded on Oct 22, 2026.”
Repository Work-Fisher/fisher-moss-prompt-expander ↗
Primary Category codex skills
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 116 stars · ⑂ 9 forks · #25,267 globally
Maintenance ● Active (Last commit: Oct 22, 2026) · 0 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 88/100 · Grade A
✅
Is fisher-moss-prompt-expander actively maintained in 2026?
Verdict: Actively Maintained

Yes, fisher-moss-prompt-expander is actively maintained. Continuous telemetry recorded the last code commit on Oct 22, 2026 (23 days ago). Supported by 116 stars and 9 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (23 days ago) and healthy issue cadence.

Commit Recency
Oct 22, 2026
23 days since last push
Issue Backlog
0 Open Issues
Healthy Issue Cadence
Community Backing
9 Forks
116 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for Work-Fisher/fisher-moss-prompt-expander
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#3,537

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

fisher-moss-prompt-expander gained 10 stars in the last 30 days, about 1 a day, and now has 116. It is about 1 year old and has averaged roughly 116 stars a year. It ranks #3,537 among Python repositories and #25,267 across all languages on GitHubRepo.

Trending Record

fisher-moss-prompt-expander has maintained a continuous presence across global trending indexes, peaking at #24042. Below is the 30-day activity profile:

💡 Overview

fisher-moss-prompt-expander is an open-source project written in Python: Expand ideas into detailed image prompts with a Chinese SKILL and ComfyUI templates.

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

⚡ 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.

📥 Installation

terminal
$ pip install fisher-moss-prompt-expander

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

fisher-moss-prompt-expander 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.

🎯 Production Use Cases

Modern Web Interfaces

Build dynamic, responsive user experiences with component-driven architecture.

Enterprise Design Systems

Standardize design tokens, accessible widgets, and themes across engineering teams.

Interactive Data Dashboards

Render real-time telemetry, user feeds, and analytics with sub-millisecond updates.

Cross-Platform Web Apps

Deploy performant single-page applications optimized for both mobile and desktop browsers.

🚀 Getting Started

1

Install fisher-moss-prompt-expander using your package manager: `pip install fisher-moss-prompt-expander`

2

Initialize your project workspace or configuration file for fisher-moss-prompt-expander.

3

Import fisher-moss-prompt-expander into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `fisher-moss-prompt-expander --help` to verify successful setup.

👍 Strengths

Active community backing with 116 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.

⚠️ 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.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

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

🏆 Nearby in the Rankings

Work-Fisher/fisher-moss-prompt-expander is currently ranked #25,267 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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#25,182 ammar027/lumen-webos Python ★ 117 Compare ↗
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#25,182 ArcheOne-AI/RoboScript Python ★ 117 Compare ↗
#25,182 MZULALI/xj-scanner Python ★ 117 Compare ↗
#25,267 Work-Fisher/fisher-moss-prompt-expander This Project Python ★ 116
#25,267 defunkt/acts_as_textiled Ruby ★ 116 Compare ↗
#25,267 fasterthanlime/jooc-legacy Java ★ 116 Compare ↗
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Frequently Asked Questions

What does fisher-moss-prompt-expander do? +

Expand ideas into detailed image prompts with a Chinese SKILL and ComfyUI templates.

Is fisher-moss-prompt-expander actively maintained in 2026? +

Yes, fisher-moss-prompt-expander is actively maintained. The latest code push was recorded on Oct 22, 2026 (23 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 116 stars and 0 open issues.

What language is fisher-moss-prompt-expander written in? +

The primary language is Python. Topics include: codex-skills, comfyui, image-generation, prompt-engineering.

How many stars does fisher-moss-prompt-expander have? +

fisher-moss-prompt-expander has 116 stars and 9 forks on GitHub.

How does fisher-moss-prompt-expander rank among GitHub repositories? +

With 116 stars, Work-Fisher/fisher-moss-prompt-expander is ranked #25,267 globally across all repositories tracked on GitHubRepo and #3,537 among Python projects.

What license is fisher-moss-prompt-expander distributed under? +

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

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