Oysterworkflow
The work experience layer for autonomous agents.
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What is Oysterworkflow?
OysterWorkflow is a free open-source tool that transforms AI tutorial videos, skill videos, and repeatable computer workflows into executable Skills for AI agents. It records your learning sessions or computer activities, then converts them into structured skill files containing goals, steps, tools, prompts, and keynotes that AI agents can actually execute rather than just summarizing content.
The tool works by letting you click start recording, then watch any video source (YouTube, Bilibili, local videos, TikTok) or perform your normal computer work switching pages, pausing, fast forwarding as needed. When you finish, you stop recording and use the Skill Builder to generate a structured skill. The Skill Manager then auto-detects your AI agent and allows one-click installation of the skill into the agent's workflow folder.
Key features include screen recording capture, AI-powered workflow extraction, structured skill generation with goal/steps/tools/prompts/keynotes, cross-agent compatibility working with any AI agent framework, and support for both video learning and recording any repeatable computer workflow. The tool captures your specific steps, apps, naming style, and habits so the AI understands your preferences better.
OysterWorkflow is designed for AI power users, developers, and anyone who watches AI tutorials repeatedly or performs repetitive computer tasks. It's particularly useful for people using Claude Code, GPT, Gemini, or other AI coding agents who want to teach them specific workflows without manual prompt engineering.
Oysterworkflow pricing
Pricing model: Freemium
OysterWorkflow is completely free and open-source. There is no paid tier or subscription. The tool is available on GitHub at https://github.com/ShuxinYang111/oysterworkflow with no setup fees or premium features. All features including recording, skill generation, and agent installation are free.
Oysterworkflow pros
- Completely free and open-source with no paid tiers
- Turns video tutorials into executable AI skills not just summaries
- Records actual computer workflows clicks keystrokes navigation
- One-click skill installation into AI agent workflow folder
- Works across any AI agent framework Claude Code GPT Gemini
- Generates structured skills with goals steps tools prompts keynotes
- Supports multiple video sources YouTube Bilibili local TikTok documents
- Captures your personal naming style apps and habits for better alignment
- Auto-detects your AI agent for easy skill installation
- Allows pausing fast-forwarding during recording at your own pace
- Catches useful comments and extra references as skill context
- 99% workflow fidelity with Codex according to user reports
- No coding required just record and generate
- Records screenpipe ingest with OpenClaw skill extraction pipeline
- Long workflow support with stability and repeatability
Oysterworkflow cons
- Requires manual recording setup before watching tutorials
- Only works on Mac and Windows not Linux
- AI agent must support skill installation for full functionality
- Learning curve for understanding skill structure and installation
- Depends on external AI agent quality for execution
- May not capture complex multi-step workflows perfectly every time
- Requires GitHub account to access the open-source code
- No official documentation website only GitHub repository
- Video sources limited to common platforms may not support all sites
- No cloud sync skills stored locally on your machine
Frequently asked questions about Oysterworkflow
What is OysterWorkflow?
OysterWorkflow is a free open-source tool that turns AI tutorial videos, skill videos, and repeatable computer workflows into executable Skills for your AI agent. It records your learning sessions or computer activities and converts them into structured skill files with goals, steps, tools, prompts, and keynotes that AI agents can actually execute.
How does OysterWorkflow work?
You click start recording, watch a tutorial or perform your normal computer work, then click stop recording. Open Skill Builder and click generate skill to turn the viewing session into a structured skill. Go to Skill Manager, click auto detect, choose your agent, and select install to skill folder. The skill now appears in your agent's workflow.
What video sources does OysterWorkflow support?
OysterWorkflow supports YouTube, Bilibili, local video files, TikTok, and even written documents. You can switch pages, pause, fast forward, or handle other tasks while recording at your own pace.
What AI agents work with OysterWorkflow?
The skills work across any AI agent you use including Claude Code, GPT, Gemini, and other AI coding agents. The tool is framework-agnostic and the generated skill files are compatible with any AI agent that supports skill installation.
Is OysterWorkflow free?
Yes, OysterWorkflow is completely free and open-source. There are no paid tiers subscriptions or setup fees. All features including recording skill generation and agent installation are free.
Where can I download OysterWorkflow?
OysterWorkflow is available on GitHub at https://github.com/ShuxinYang111/oysterworkflow. The core component using Screenpipe ingest and OpenClaw skill extraction is at https://github.com/ShuxinYang111/oysterworkflow-core.
What operating systems does OysterWorkflow support?
OysterWorkflow works on Mac and Windows. It records how you do real work on these operating systems and turns your workflows into reusable skills for AI agents.
What is included in a generated skill?
A generated skill includes the goal, steps, tools, prompts, and keynotes. It is not just a summary but converts the method in the video into an actual workflow that an AI can execute, capturing your steps apps naming style and habits.
Can I edit skills after generating them?
The tool generates structured skills with all necessary components. You can install the skill directly into your AI agent with one click. The skill is organized around what you actually saw during the recording session.
Why use OysterWorkflow instead of manually prompting AI?
Because the skill records your own steps apps naming style and habits the AI understands what you want more clearly and is less likely to make its own assumptions. You no longer have to manually learn how to use AI from every video as these skills can work across any AI agent you use.