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Nanako0129
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Nanako0129/sepia

De-AI writing skill for any Agent Skills-compatible agent (77+ via the Skills CLI), with native plugins for Claude Code, Codex, Grok Build, and Antigravity. Narrative-architecture repair for fiction, venue-matched rules for professional prose. Based on StoryScope (arXiv:2604.03136).

Python ◇ agent-skills MIT
★2.9KSTARS
⑂188FORKS
!11ISSUES
🏆#1,530GLOBAL RANK
🔥6DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for Nanako0129/sepia
CSV

Momentum

+72

STARS · LAST 30 DAYS

2

PER DAY

#217

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+14+72+180
Per day222
Forks gained+1+4+10

sepia gained 72 stars in the last 30 days, about 2 a day, and now has 2.9K. It is about 1 year old and has averaged roughly 2.9K stars a year. It ranks #217 among Python repositories and #1,530 across all languages on GitHubRepo.

Trending Record

sepia has maintained a continuous presence across global trending indexes, peaking at #124. Below is the 30-day activity profile:

💡 Overview

sepia is an open-source project written in Python: De-AI writing skill for any Agent Skills-compatible agent (77+ via the Skills CLI), with native plugins for Claude Code, Codex, Grok Build, and Antigravity. Narrative-architecture repair for fiction, venue-matched rules for professional prose. Based on StoryScope (arXiv:2604.03136).

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-skills, ai-writing, antigravity. 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 sepia

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

sepia 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

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with sepia.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install sepia using your package manager: `pip install sepia`

2

Initialize your project workspace or configuration file for sepia.

3

Import sepia into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `sepia --help` to verify successful setup.

👍 Strengths

Active community backing with 2,831 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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.

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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

Nanako0129/sepia is currently ranked #1,530 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#1,525 kylecorry31/Trail-Sense Kotlin ★ 2.9K Compare ↗
#1,525 cargo-bins/cargo-binstall Rust ★ 2.9K Compare ↗
#1,527 Pryaxis/TShock C# ★ 2.9K Compare ↗
#1,528 TheHPXProject/hpx C++ ★ 2.9K Compare ↗
#1,529 projectdiscovery/dnsx Go ★ 2.9K Compare ↗
#1,530 Nanako0129/sepia This Project Python ★ 2.9K
#1,531 RubyMoney/money Ruby ★ 2.9K Compare ↗
#1,532 Luce-Org/lucebox C++ ★ 2.9K Compare ↗
#1,533 arkivanov/Decompose Kotlin ★ 2.9K Compare ↗
#1,533 Yeachan-Heo/gajae-code TypeScript ★ 2.9K Compare ↗
#1,535 shivammathur/homebrew-php Ruby ★ 2.9K Compare ↗

Frequently Asked Questions

What does sepia do? +

De-AI writing skill for any Agent Skills-compatible agent (77+ via the Skills CLI), with native plugins for Claude Code, Codex, Grok Build, and Antigravity. Narrative-architecture repair for fiction, venue-matched rules for professional prose. Based on StoryScope (arXiv:2604.03136).

What language is sepia written in? +

The primary language is Python. Topics include: agent-skills, ai-writing, antigravity, claude-code, codex.

Is sepia actively maintained? +

Yes, the last recorded push was on Sep 23, 2026 with 11 open issues being tracked.

How many stars does sepia have? +

sepia has 2,883 stars and 188 forks on GitHub.

How does sepia rank among GitHub repositories? +

With 2,883 stars, Nanako0129/sepia is ranked #1,530 globally across all repositories tracked on GitHubRepo and #217 among Python projects.

What license is sepia distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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