Raymondhou0917/speak-human-tw
「說人話」：繁體中文的去 AI 味改寫 skill。抓 38 種 AI 寫作痕跡，順手校正中國用語與半形標點，給 Claude Code / Codex / Cursor 用。
⚡ Executive Summary & Quick Facts
Authoritative Sourcespeak-human-tw is speak-human-tw is an open-source project written in Python: 「說人話」：繁體中文的去 AI 味改寫 skill。抓 38 種 AI 寫作痕跡，順手校正中國用語與半形標點，給 Claude Code / Codex / Cursor 用。.. It provides a free, self-hosted open-source alternative to Cursor.
| Repository | Raymondhou0917/speak-human-tw ↗ |
|---|---|
| Primary Category | agent skills |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 1K stars · ⑂ 114 forks · #6,446 globally |
| Maintenance | ● Active (Last commit: Oct 2, 2026) · 2 open issues |
| Replaces SaaS | Open Source Cursor Alternative ($20/month per user) → |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
Star History
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+25
STARS · LAST 30 DAYS
1
PER DAY
#903
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +25 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
speak-human-tw gained 25 stars in the last 30 days, about 1 a day, and now has 1K. It is about 1 year old and has averaged roughly 1K stars a year. It ranks #903 among Python repositories and #6,446 across all languages on GitHubRepo.
Trending Record
55
DAYS ON TRENDING
#100
BEST RANK
Jul 8, 2026
FIRST APPEARANCE
Active
STATUS TODAY
speak-human-tw has maintained a continuous presence across global trending indexes, peaking at #100. Below is the 30-day activity profile:
💡 Overview
speak-human-tw is an open-source project written in Python: 「說人話」：繁體中文的去 AI 味改寫 skill。抓 38 種 AI 寫作痕跡，順手校正中國用語與半形標點，給 Claude Code / Codex / Cursor 用。.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-skills, ai-writing, claude-code. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install speak-human-tw⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
speak-human-tw 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 speak-human-tw.
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
Install speak-human-tw using your package manager: `pip install speak-human-tw`
Initialize your project workspace or configuration file for speak-human-tw.
Import speak-human-tw into your codebase or invoke it directly from your terminal.
Execute your test suite or run `speak-human-tw --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
Raymondhou0917/speak-human-tw is currently ranked #6,446 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
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| #6,446 | Raymondhou0917/speak-human-tw This Project | Python | ★ 1K | |
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Frequently Asked Questions
What does speak-human-tw do? +
「說人話」：繁體中文的去 AI 味改寫 skill。抓 38 種 AI 寫作痕跡，順手校正中國用語與半形標點，給 Claude Code / Codex / Cursor 用。
What language is speak-human-tw written in? +
The primary language is Python. Topics include: agent-skills, ai-writing, claude-code, codex, cursor.
Is speak-human-tw actively maintained? +
Yes, the last recorded push was on Oct 2, 2026 with 2 open issues being tracked.
How many stars does speak-human-tw have? +
speak-human-tw has 1,016 stars and 114 forks on GitHub.
How does speak-human-tw rank among GitHub repositories? +
With 1,016 stars, Raymondhou0917/speak-human-tw is ranked #6,446 globally across all repositories tracked on GitHubRepo and #903 among Python projects.
What license is speak-human-tw distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
