AI Frameworks · rockbenben

ChatGPT-Shortcut

ChatGPT-Shortcut is an open-source prompt management platform with 5000+ curated AI prompts for ChatGPT, Claude, and other AI tools. Users can search, copy, organize, and contribute prompts without registration, with optional login for custom collections and community sharing.

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Source: GitHub — github.com/rockbenben/ChatGPT-Shortcut

8.6k

GitHub stars

944

Forks

TypeScript

Primary language

MIT

License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

Field	Value
Repository	rockbenben/ChatGPT-Shortcut
Owner	rockbenben
Primary language	TypeScript
License	MIT — OSI-approved
Stars	8.6k
Forks	944
Open issues	2
Latest release	v4.4.2 (2026-06-17)
Last updated	2026-06-30
Source	https://github.com/rockbenben/ChatGPT-Shortcut

What ChatGPT-Shortcut is

TypeScript/React web application built with Docusaurus, Ant Design, and React 19, offering browser-based prompt browsing, client-side collection management, and optional backend for authentication and community features. Deployable via Vercel, Cloudflare Pages, Docker, or standalone.

Quickstart

Get the ChatGPT-Shortcut source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/rockbenben/ChatGPT-Shortcut.git2cd ChatGPT-Shortcut3# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Prompt Discovery & One-Click Usage

Teams and individuals seeking pre-written, battle-tested prompts across writing, coding, office work, and design can browse 5000+ curated options by tag or keyword and immediately copy-paste into ChatGPT, Cursor, Claude, or custom API calls—no trial-and-error required.

Enterprise Offline AI Tool Management

Organizations with air-gapped networks can deploy the Offline Edition for prompt curation and management within intranet environments, with data stored locally in the browser and no backend dependency, ideal for government or classified-environment workflows.

Community-Driven Prompt Library

Companies or communities wanting to build internal or public prompt repositories can self-host, enable user contributions via the community feature, implement role-based curation, and track contributor reputation through the L0–L9 leveling system.

Implementation considerations

Choose deployment method early (Vercel for serverless, Docker for self-hosted, Offline Edition for air-gapped); each has different backend and sync implications.
Backend authentication (Google, email link, password) and community features require a backend service; Offline Edition eliminates this dependency but removes those features.
Prompt data model and language translations are bundled; updating or customizing the 5000+ prompts or adding languages requires familiarity with the codebase structure.
Browser extension (Chrome, Edge, Firefox) adds sidebar access but requires separate installation and maintenance; consider browser policy and user adoption.
Self-hosted instances should plan for data migration, backups, and API endpoint configuration if leveraging community/auth features.

When to avoid it — and what to weigh

Real-Time Collaboration on Prompt Editing — If your team needs live collaborative editing of prompts with concurrent user changes and instant sync, this tool's architecture is designed for individual or sequential workflows; real-time co-editing is not built-in.
Direct AI API Integration Required — ChatGPT-Shortcut does not execute prompts or call LLM APIs itself; it is a prompt management and discovery tool. If you need a unified interface that runs prompts and displays results without copy-paste, look elsewhere.
Proprietary, Closed-Source Requirements — If your organization mandates proprietary code, closed-source deployment, or licensing restrictions incompatible with MIT, this project is not suitable.
Advanced Role-Based Access Control (RBAC) — The current feature set does not indicate granular RBAC for team-based governance, prompt approval workflows, or department-level access policies; requires custom development.

License & commercial use

MIT License. Permissive OSI-approved license allowing free use, modification, and distribution for any purpose (commercial or non-commercial) with attribution and no warranty.

MIT License permits commercial use without restriction. You may build commercial products, charge for deployments, or resell as a service provided you retain the license notice and copyright attribution. No commercial restrictions or royalties apply. Requires no vendor approval or additional licensing.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

Signal	Assessment
Maintenance	Active
Documentation	Strong
License clarity	Clear
Deployment complexity	Low
DEV.co fit	Strong
Assessment confidence	High

Security considerations

No explicit security audit or threat model published. Consider: (1) Optional backend for auth/community means handling user credentials and data; use HTTPS and follow OAuth best practices; (2) Offline Edition stores prompts in browser localStorage—no server-side breaches but data is visible client-side; (3) Community features enable user uploads—implement content moderation and input validation to prevent injection attacks; (4) No mention of CSRF, XSS, or rate-limiting mitigations in provided data. Requires security review before production use.

Alternatives to consider

Prompt Engineering Guide (GitHub)

Free, open-source educational resource for learning prompt techniques, but less of a prompt library and more of a tutorial; lacks community sharing and custom prompt management.

OpenAI Prompt Engineering Guide / Cookbook

Official OpenAI resources with best practices and examples; designed for learning, not for curating or organizing large prompt libraries or team sharing.

Hugging Face Spaces + Community Models

Open community platform for sharing ML models and interfaces; overlaps on community curation but focuses on models and hosted apps, not prompt-library management.

Software development agency

Build on ChatGPT-Shortcut with DEV.co software developers

Deploy ChatGPT-Shortcut for your team today—self-host on Vercel, Docker, or your infrastructure. Start with the free, open-source version and customize to fit your AI operations.

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ChatGPT-Shortcut FAQ

Do I need to create an account to browse and copy prompts?

No. The public prompt library and search are available without login. Account creation is optional and unlocks features like custom collections, community contributions, and data export.

Can I self-host ChatGPT-Shortcut on my own server?

Yes. The repository includes deployment guides for Vercel, Cloudflare Pages, Docker, and local development. An Offline Edition is also available for air-gapped or intranet deployments without a backend.

Does ChatGPT-Shortcut run prompts or call LLM APIs?

No. It is a prompt library and management tool. You copy prompts and paste them into ChatGPT, Cursor, Claude, or your own API calls; execution happens outside the application.

What languages does the UI and prompts support?

18 languages, including English, Chinese, Spanish, Arabic, Japanese, Korean, French, German, Portuguese, Russian, Italian, Indonesian, Turkish, Vietnamese, Thai, Hindi, and Bengali. Prompts are translated for each language.

Software development & web development with DEV.co

Adopting ChatGPT-Shortcut is usually one piece of a larger software development effort. As a software development agency, DEV.co provides software development services and web development expertise — pairing senior software developers and web developers with your team to design, build, and operate ai frameworks software in production.

Ready to streamline your prompt workflow?

Deploy ChatGPT-Shortcut for your team today—self-host on Vercel, Docker, or your infrastructure. Start with the free, open-source version and customize to fit your AI operations.

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