A comprehensive integration allowing AI agents to manage project threads, user data, and team collaboration workflows within the Knit platform.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install knit
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install knit using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Knit Integration for AI Agents?
Knit is a robust project management and team collaboration tool designed to streamline task organization and progress tracking. This skill integrates Knit with Openclaw Skills through the Membrane ecosystem, providing a secure and efficient way for AI agents to interact with team data. By abstracting the complexities of authentication and API management, it allows developers to focus on building intelligent workflows that can participate in team discussions and manage project metadata programmatically.
Knit Integration for AI Agents Use Cases
- Automatically creating and managing discussion threads for new development tasks or project sprints.
- Sending real-time notifications and status updates to specific team threads based on external events.
- Fetching user profiles and team directories to automate task assignments or contact routing.
- Searching through historical thread data to provide AI agents with context for decision-making.
How Knit Integration for AI Agents Works
- The agent authenticates via the Membrane CLI to establish a secure session.
- A connection to the Knit instance is established using the ensure command, which handles the OAuth flow or API key exchange.
- The agent uses natural language intent to discover specific actions such as Create Thread or List Users.
- Actions are executed through the CLI, with Membrane managing token refresh and request signing automatically.
- For specialized needs, the agent can perform raw proxy requests to any Knit API endpoint while still benefiting from managed authentication.
Knit Integration for AI Agents Setup
Install the Membrane CLI globally to enable the integration:
npm install -g @membranehq/cli@latest
Authenticate your specific agent type to start using Openclaw Skills:
membrane login --tenant --clientName=openclaw
Create a connection to your Knit account:
membrane connection ensure "https://www.getknit.dev/" --json
Wait for the connection state to reach READY before executing actions.
Knit Integration for AI Agents Data Schema & Taxonomy
The skill interacts with Knit's data model through structured actions and proxy requests:
| Entity | Key Data Points | Operations |
|---|---|---|
| Thread | Thread ID, Message content, Metadata | Create, Send Message, List, Get Details |
| User | User ID, Name, Role, Profile details | Get Current, Get Details, List |
| Action | InputSchema, OutputSchema, Action ID | List (via intent), Run |
| Connection | Connection ID, State (READY/BUILDING) | Ensure, Get, Monitor |
Knit Integration for AI Agents Advanced Features
- Managed Auth Lifecycle: Never handle API keys directly; Membrane manages full server-side authentication and credential refresh.
- Natural Language Action Discovery: Find the right tool for the job by searching for actions based on the agent's intent.
- Transparent API Proxying: Use the
membrane requestcommand to access any Knit endpoint with automatic header injection. - Headless Environment Support: Optimized login flows for remote servers or CI/CD pipelines where interactive browsers are unavailable.
SKILL.md
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