Fabric 🧩 Workflow Open source
Open-source CLI and library of reusable AI prompt patterns for summarising and writing
- GitHub stars
- 44k
- Stars this week
- –
- Forks
- 4.3k
- Licence
- MIT
- Last push
- 2026-09-24
- Maintainer
- danielmiessler
go install github.com/danielmiessler/fabric/cmd/fabric@latestThird-party workflows & skills run with your permissions and API keys. Read the source before installing, and prefer pinned versions.
Works with
Good for
About Fabric
What it is
Fabric by Daniel Miessler (MIT) is a command-line framework built around "patterns": carefully written, crowdsourced system prompts for specific jobs such as extracting wisdom from a video transcript, summarising articles, writing essays, creating social posts, improving writing or analysing claims. You pipe text into a pattern and get structured output, which makes it handy for turning long content into notes, newsletters and posts. Because patterns are plain Markdown files in a public repo, you can read exactly what each prompt asks the model to do, copy them into ChatGPT or Claude without the CLI, and fork them into your own house style.
Key features
- Hundreds of Markdown prompt patterns you can read and edit
- Pipe-friendly CLI: feed in text, YouTube transcripts or web pages
- Works with OpenAI, Anthropic, Google Gemini, Ollama and other vendors
- Custom patterns folder for your own prompts
- REST API server and web interface options
- Very active development (Go rewrite)
How to install
Run the installer curl -fsSL https://raw.githubusercontent.com/danielmiessler/fabric/main/scripts/installer/install.sh | bash, or go install github.com/danielmiessler/fabric/cmd/fabric@latest, or use the Docker image, then fabric --setup to add API keys and download patterns.
Pricing and rights
Free and MIT-licensed, including the patterns. You pay for whichever model provider you connect; local models through Ollama cost nothing extra.
Who it is for
Writers, researchers and newsletter creators who work in a terminal and want repeatable summarising and drafting prompts.
Verdict
A well-designed, heavily used prompt library with a practical CLI. It is terminal-first, so non-technical users will prefer the prompts on their own over the tooling.
Pros
- Readable, editable prompt patterns
- Works with many model providers and local models
- MIT, very active
Cons
- Terminal-first; not for non-technical users
- Output quality depends on the model you connect
Similar workflows & skills
All prompt libraries →prompts.chat (Awesome ChatGPT Prompts) 🧩 WorkflowOpen source
Large open prompt library, formerly Awesome ChatGPT Prompts, with web app and CLI
Awesome Nano Banana Pro Prompts 🧩 WorkflowOpen source
Curated image prompts for Google's Nano Banana Pro, by use case and style
Awesome GPT Image 2 Prompts 🧩 WorkflowOpen source
Curated prompt collection with examples for OpenAI's GPT Image 2 model
ComfyUI-Manager 🧩 WorkflowOpen source
Install, update and manage ComfyUI custom nodes and models from inside the UI
Anthropic Agent Skills 🧩 WorkflowOpen source
Anthropic's official skills: Word, PowerPoint, PDF, Excel, brand and design skills
Marketing Skills (Corey Haines) 🧩 WorkflowOpen source
Agent Skills pack for copywriting, SEO, CRO, email, ads and launch work