Refly — Agent Skills Builder Powered by Vibe Workflow
APIs for Lovable · Webhooks for Lark/Feishu · Skills for Claude Code · Build Clawdbot
Skills are not prompts. They are durable infrastructure.
Refly is the first open-source platform for building stable, atomic, and versioned agent skills.
Try it Now
Refly Skills
Refly Skills is the official executable skill registry for Refly.
- ⚡ Run instantly: Execute skills in Refly with one click
- 🧩 Reusable infrastructure: Versioned skills, not one-off prompts
- 🔌 Export anywhere: Ship skills to Claude Code or deploy as APIs
- 🌍 Community-powered: Import, fork, and publish your own skills
Explore the registry: Refly Skills Repo
Skills are deterministic agent capabilities—reusable across workflows, teams, and runtimes.
TL;DR: Refly compiles your enterprise SOPs into executable agent skills. Built in 3 minutes. Shipped anywhere.
Quick Start
Deploy Refly
-
📘 Self-Deployment Guide
(Recommended for Developers) Step-by-step guide to deploying Refly on your own server using Docker.
-
🔌 API Reference
Complete API documentation for integrating Refly into your applications.
[!TIP]
Want to explore instantly? Open the hosted workspace: Refly Workspace
What's Next?
After deployment, choose your path based on your use case:
Why Refly?
Most AI Agents fail in production because they rely on "Vibe-coded" scripts and fragile, black-box logic. As the ecosystem moves toward agentic frameworks like Claude Code, AutoGen, and MCP, the bottleneck is no longer the LLM—it's the lack of standardized, reliable actions.
Refly bridges the gap between raw APIs and intelligent agents. We allow you to codify messy business logic into structured, version-controlled Agent skills that any agent can invoke with 100% reliability.
Stop hard-coding tools. Build modular skills once in Refly's visual IDE and deploy them as MCP servers, standard APIs, or portable SDKs to any agent framework. Try it Now
Core Capabilities
🎯 Construct with Vibe (Copilot-led Builder)
Describe your business logic in natural language, and Refly's Model-Native DSL compiles your intent into a high-performance skill.
- Intent-Driven Construction: Describe the work once; Refly turns intent into deterministic, reusable, and composable skills.
- Efficiency at Scale: Streamlined DSL optimized for LLMs, ensuring fast execution and significantly lower token costs.
- 3-Minute Deployment: Transition from a static enterprise SOP to a production-ready agent skill in under 3 minutes.
⚡ Execute with Control (Intervenable Runtime)
Break the "black box" of AI execution with a stateful runtime designed for deterministic reliability.
- Intervenable Runtime: Pause, audit, and re-steer agent logic mid-run to ensure 100% operational compliance.
- Deterministic Guarantees: Enforce strict business rules that minimize hallucinations and handle failure recovery.
🚀 Ship to Production (Unified Agent Stack)
Unify MCP integrations, tools, models, and reusable skills into a single execution layer.
- Universal Delivery: Export as APIs for Lovable, webhooks for Slack or Lark/Feishu, or native tools for Claude Code and Cursor.
- Stable Scheduling: Run workflows reliably on schedule with managed execution.
🏛️ Govern as Assets (Skill Registry)
Transform fragile scripts into governed, shared infrastructure across your organization.
- Central Skill Registry: Securely manage, version, and share agent capabilities.
- Team Workspace Collaboration: Build together with native version control and audit logs.
Ecosystem
Refly is designed to be the universal bridge between your existing enterprise toolchain and the next generation of agentic runtimes.
Tooling & Protocols (Inputs)
Bring your own data and logic into Refly with zero friction.
- 3,000+ Native Tools: Seamlessly integrate with Stripe, Slack, Salesforce, GitHub, etc.
A full list of supported model and tools providers can be found in provider-catalog.json.
- MCP Support: Full compatibility with Model Context Protocol servers
- Private Skill Connectors: Connect to your databases, scripts, and internal systems
Agent Runtimes & Platforms (Outputs)
Export your deterministic skills to any environment where work happens.
- AI Coding Tools: Native export for Claude Code and Cursor (coming soon)
- App Builders: Power Lovable or custom frontends via stateful APIs
- Automation Hubs: Deploy as webhooks for Slack, Lark/Feishu, or Microsoft Teams
- Agent Frameworks: Compatible with AutoGen, Manus, LangChain, and custom Python stacks
Why Teams Choose Refly
For Builders: From Vibe to Production
Most agent tooling today falls into two categories:
- Workflow builders (n8n, Dify): Great for orchestration, but workflows are fragile, trigger-only "black boxes," and hard to reuse.
- Agent frameworks (LangChain): Powerful primitives, but require heavy engineering, manual boilerplate, and high maintenance to keep running.
Refly eliminates the friction of manual configuration, giving you the fastest path from a "vibe" to a usable agent tool. By using our Streamlined DSL, you get the speed of a GUI with the precision of code.
| Dimension | Legacy Automation (n8n, Dify) | Code-First SDKs (LangChain) | Refly Skills |
|---|
| Interaction Depth | Trigger-only Black box | Programmatic Code changes | Intervenable runtimeSteer logic mid-run |
| Construction | Manual API wiring & JSON | Manual Python/TS boilerplate | Copilot-ledDescribe intent → skills generated |
| Recovery | Fail = restart from scratch | Debug → redeploy → rerun | Hot-fixRepair workflows during execution |
| Portability | Hard to reuse across environments | Framework-specific | Export everywhereTo Claude Code, Cursor, Manus |
| Deployment | Limited function tools | Custom microservices | Production ReadyStateful, validated APIs |
For Enterprise: Scalable Skills Governance
Workflow tools like n8n are great for basic connectivity, and frameworks like LangChain offer powerful primitives — but neither provides the governed, production-ready capability layer required for enterprise agent infrastructure.
Refly acts as the Agent skills builder, providing the governance and reliability infrastructure required to deploy AI across the entire organization.
| Enterprise Requirement | Legacy Tools (Workflow-first) | SDKs (Code-first) | Refly (Skill OS) |
|---|
| Governance & Reuse | Templates are copied andreconfigured per instance | No native registryfor sharing logic | Central skill registryVersioned, shareable capability assets |
| Operational Reliability | Trigger-basedlimited recovery | Custom handling required | Stateful runtimeWith validation + failure recovery |
| SOP Enforcement | Workflows driftacross copies | Depends on manualengineering discipline | SOP-grade deterministic skillsWith controlled execution |
| Deployment | Instance-bound workflows | Code maintained manuallyper team | Local-first, on-prem readyOpen-source infrastructure |
| Total Cost (TCO) | Overhead grows withworkflow complexity | High engineeringmaintenance costs | Minimal DSLReduces token spend |
Create Your First Workflow
[!NOTE]
This section assumes you have completed self-deployment and can access Refly at http://localhost:5700
Step 1: Register and Log In
- Open
http://localhost:5700 in your browser
- Register with your email and password
- Configure your first model provider:
- Click the account icon (top right) → Settings
- Add a provider (e.g., OpenAI, Anthropic)
- Add your first chat model
- Set it as default
📖 Detailed setup with screenshots: Self-Deployment Guide
Step 2: Create a Workflow
- Click "New Workflow" on the home page
- Choose a template or start from scratch:
- Blank Canvas: Build with visual nodes
- Vibe Mode: Describe your workflow in natural language
Example - Product Research Workflow:
1. Add "Web Search" node - searches for product information
2. Add "LLM" node - analyzes search results
3. Add "Output" node - formats the report
4. Connect the nodes
5. Click "Save"
[!TIP]
If you want the fastest path, start with Vibe Mode and iterate from a template.
Step 3: Test Your Workflow
- Click "Run" button
- Enter test input (e.g., a product URL)
- View execution results in real-time
- Check logs if something fails
Use Cases
Use Case 1: API Integration
Goal: Call your workflow from your application via REST API
Get Your API Credentials
- Go to Settings → API Keys
- Click "Generate New Key"
- Copy your API key (keep it secure!)
Make Your First API Call
curl -X POST https://your-refly-instance.com/api/v1/workflows/{WORKFLOW_ID}/execute \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"input": {
"product_url": "https://example.com/product"
}
}'
Response:
{
"execution_id": "exec_abc123",
"status": "running"
}
Check Execution Status
curl https://your-refly-instance.com/api/v1/executions/{execution_id} \
-H "Authorization: Bearer YOUR_API_KEY"
📖 Full API Documentation: API Reference
Use Case 2: Webhook for Lark (Feishu)
Goal: Trigger your workflow when someone sends a message in Lark
Prerequisites
- A Lark workspace with admin access
- A workflow created in Refly
Setup Steps
-
In Refly:
- Open your workflow
- Click "Settings" → "Triggers"
- Enable "Webhook Trigger"
- Copy the Webhook URL
-
In Lark/Feishu:
- Go to api.feishu.com/apps
- Create a "Custom App"
- Navigate to "Event Subscriptions"
- Paste the Refly Webhook URL into "Request URL"
- Click "Add Event" and select "Receive Message"
- Go to "Version Management" and publish the app
-
Test:
- In Feishu, find your bot in the search bar and send a message (e.g.,
analyze report.pdf)
- Your workflow executes and returns results via the webhook
⚠️ Note: Detailed Lark/Feishu integration guide coming soon. For now, see API Reference for webhook configuration.
Use Case 3: Skills for Claude Code
Goal: Publish your Refly workflows as Claude Code skills
Quick Start
- Install Refly CLI
npm install -g @powerformer/refly-cli
- Install a Skill
# Via Refly CLI
refly skill install <skill-id>
#Via npx
npx skills add refly-ai/<skill-name>
- Publish a Skill
refly skill publish <skill-id>
The skill is now available in Claude Code, Cursor, and MCP-powered workflows. Agent can invoke your workflow as a tool!
📖 Documentation: Refly Skills
Use Case 4: Build Clawdbot
📖 Tutorial: Build Clawdbot Tutorial
Community & Support
Join Us
Join our community to get help, share your experience, and connect with other Refly users: Refly Community
Contributing
For those who'd like to contribute code, see our Contribution Guide. At the same time, please consider supporting Refly by sharing it on social media and at events and conferences.
We are looking for contributors to help translate Refly into languages other than Mandarin or English. If you are interested in helping, please see the Contribution Guide for more information.
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License
This repository is licensed under the ReflyAI Open Source License, which is essentially the Apache 2.0 License with some additional restrictions.
