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pretend1111/inko-skill

Agent Skill: realistic handwriting with the Inko API — solve & hand-write homework, write on your own notebook paper, phone-photo looks, PDF. For Claude Code, Codex, Cursor, Copilot, Gemini CLI, OpenCode.

Python ◇ agent-skills MIT
★106STARS
⑂10FORKS
!0ISSUES
🏆#17,648GLOBAL RANK
🔥2DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#2,365

MOST-STARRED Python

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

inko-skill gained 10 stars in the last 30 days, about 1 a day, and now has 106. It is about 1 year old and has averaged roughly 106 stars a year. It ranks #2,365 among Python repositories and #17,648 across all languages on GitHubRepo.

Trending Record

inko-skill has maintained a continuous presence across global trending indexes, peaking at #5564. Below is the 30-day activity profile:

💡 Overview

inko-skill is an open-source project written in Python: Agent Skill: realistic handwriting with the Inko API — solve & hand-write homework, write on your own notebook paper, phone-photo looks, PDF. For Claude Code, Codex, Cursor, Copilot, Gemini CLI, OpenCode.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-skills, ai-agents, chinese. 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 inko-skill

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

inko-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.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with inko-skill.

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 inko-skill using your package manager: `pip install inko-skill`

2

Initialize your project workspace or configuration file for inko-skill.

3

Import inko-skill into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 101 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.

⇄ 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

pretend1111/inko-skill is currently ranked #17,648 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#17,581 groundingpi/GroundingPI Python ★ 107 Compare ↗
#17,581 VectifyAI/jev-doc-search Python ★ 107 Compare ↗
#17,581 bailo167/awesome-game-mashups Python ★ 107 Compare ↗
#17,581 hashcott/ghostline Go ★ 107 Compare ↗
#17,581 Ayi914/paperchecker Python ★ 107 Compare ↗
#17,648 pretend1111/inko-skill This Project Python ★ 106
#17,648 lmarlow/gemedit Ruby ★ 106 Compare ↗
#17,648 sunny/edith PHP ★ 106 Compare ↗
#17,648 cjbottaro/app_config Ruby ★ 106 Compare ↗
#17,648 jonleighton/date_input JavaScript ★ 106 Compare ↗
#17,648 lig/pystardict Python ★ 106 Compare ↗
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Frequently Asked Questions

What does inko-skill do? +

Agent Skill: realistic handwriting with the Inko API — solve & hand-write homework, write on your own notebook paper, phone-photo looks, PDF. For Claude Code, Codex, Cursor, Copilot, Gemini CLI, OpenCode.

What language is inko-skill written in? +

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

Is inko-skill actively maintained? +

Yes, the last recorded push was on Oct 7, 2026 with 0 open issues being tracked.

How many stars does inko-skill have? +

inko-skill has 106 stars and 10 forks on GitHub.

How does inko-skill rank among GitHub repositories? +

With 106 stars, pretend1111/inko-skill is ranked #17,648 globally across all repositories tracked on GitHubRepo and #2,365 among Python projects.

What license is inko-skill distributed under? +

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

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