WenyuChiou/ai-research-skills
Universal SKILL.md catalog for research workflows: literature review, research design, project memory, manuscript writing, and cross-agent delegation for Claude Code, Codex, Gemini, Cursor, OpenClaw, and generic AI clients.
⚡ Executive Summary & Quick Facts
Authoritative Sourceai-research-skills is ai-research-skills is an open-source project written in Python: Universal SKILL.md catalog for research workflows: literature review, research design, project memory, manuscript writing, and cross-agent delegation for Claude Code, Codex, Gemini, Cursor, OpenClaw, and generic AI clients.. It provides a free, self-hosted open-source alternative to Cursor.
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), WenyuChiou/ai-research-skills has accumulated 389 GitHub stars and 25 forks. It is written in Python, licensed under MIT, and ranks #12,528 globally. It is actively maintained with the latest commit recorded on Oct 19, 2026.”
| Repository | WenyuChiou/ai-research-skills ↗ |
|---|---|
| Primary Category | academic writing |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 389 stars · ⑂ 25 forks · #12,528 globally |
| Maintenance | ● Active (Last commit: Oct 19, 2026) · 3 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. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 93/100 · Grade A+Yes, ai-research-skills is actively maintained. Continuous telemetry recorded the last code commit on Oct 19, 2026 (14 days ago). Supported by 389 stars and 25 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#1,631
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
ai-research-skills gained 10 stars in the last 30 days, about 1 a day, and now has 389. It is about 1 year old and has averaged roughly 389 stars a year. It ranks #1,631 among Python repositories and #12,528 across all languages on GitHubRepo.
Trending Record
14
DAYS ON TRENDING
#10782
BEST RANK
Oct 19, 2026
FIRST APPEARANCE
Active
STATUS TODAY
ai-research-skills has maintained a continuous presence across global trending indexes, peaking at #10782. Below is the 30-day activity profile:
💡 Overview
ai-research-skills is an open-source project written in Python: Universal SKILL.md catalog for research workflows: literature review, research design, project memory, manuscript writing, and cross-agent delegation for Claude Code, Codex, Gemini, Cursor, OpenClaw, and generic AI clients.
Engineered for speed, consistency, and developer ease, it solves common hurdles in academic-writing, agentic-ai, agentskills. 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 ai-research-skills⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
ai-research-skills 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 ai-research-skills.
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 ai-research-skills using your package manager: `pip install ai-research-skills`
Initialize your project workspace or configuration file for ai-research-skills.
Import ai-research-skills into your codebase or invoke it directly from your terminal.
Execute your test suite or run `ai-research-skills --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
WenyuChiou/ai-research-skills is currently ranked #12,528 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #12,507 | Cocolalilal/LastChat | Kotlin | ★ 390 | Compare ↗ |
| #12,507 | Pedro-Revez-Silva/shelfarr | Ruby | ★ 390 | Compare ↗ |
| #12,507 | Andbal23/dynamic-music-pill | JavaScript | ★ 390 | Compare ↗ |
| #12,507 | librefang/librefang | Rust | ★ 390 | Compare ↗ |
| #12,507 | REBEL-ROOT/omni-browser | Kotlin | ★ 390 | Compare ↗ |
| #12,528 | WenyuChiou/ai-research-skills This Project | Python | ★ 389 | |
| #12,528 | davedash/django-fixture-magic | Python | ★ 389 | Compare ↗ |
| #12,528 | jasonsantos/luajava | Java | ★ 389 | Compare ↗ |
| #12,528 | mscdex/node-ncurses | C++ | ★ 389 | Compare ↗ |
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Frequently Asked Questions
What does ai-research-skills do? +
Universal SKILL.md catalog for research workflows: literature review, research design, project memory, manuscript writing, and cross-agent delegation for Claude Code, Codex, Gemini, Cursor, OpenClaw, and generic AI clients.
Is ai-research-skills actively maintained in 2026? +
Yes, ai-research-skills is actively maintained. The latest code push was recorded on Oct 19, 2026 (14 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 389 stars and 3 open issues.
What language is ai-research-skills written in? +
The primary language is Python. Topics include: academic-writing, agentic-ai, agentskills, ai-research, ai-skills.
How many stars does ai-research-skills have? +
ai-research-skills has 389 stars and 25 forks on GitHub.
How does ai-research-skills rank among GitHub repositories? +
With 389 stars, WenyuChiou/ai-research-skills is ranked #12,528 globally across all repositories tracked on GitHubRepo and #1,631 among Python projects.
What license is ai-research-skills distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
