Analyze engineering performance and track DORA metrics directly through your AI agent using the LinearB integration for Openclaw Skills.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install linearb
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 linearb 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 LinearB?
LinearB is a powerful software development analytics platform designed to help engineering teams optimize their performance. This integration for Openclaw Skills allows AI agents to access critical insights into development workflows, including cycle time, code review efficiency, and deployment frequency. By connecting to LinearB, engineering leaders and developers can use their AI agents to identify bottlenecks and streamline team operations.
The skill leverages the Membrane CLI to provide a secure and seamless interface with the LinearB API. By offloading authentication and credential management to Membrane, Openclaw Skills users can focus on high-level integration logic rather than complex auth plumbing, making it easier than ever to incorporate engineering intelligence into automated workflows.
LinearB Use Cases
- Monitoring DORA metrics such as deployment frequency and lead time for changes.
- Automated reporting of software deployments and engineering incidents for better visibility.
- Analyzing team composition and member involvement in active pull requests.
- Identifying development bottlenecks by querying cycle time data via Openclaw Skills.
- Managing services and teams within the LinearB platform through an AI-driven interface.
How LinearB Works
- Install the Membrane CLI and authenticate your environment to enable communication with the LinearB API.
- Establish a secure connection by providing the LinearB domain, which Membrane normalizes and matches against known applications.
- Poll the connection state until it reaches the ready status, ensuring all user-required actions are completed.
- Discover relevant actions by searching with natural language intents within the Openclaw Skills framework.
- Execute specific actions or use the proxy request feature to interact with the LinearB API directly, with automatic header injection and token refreshing.
LinearB Setup
First, install the Membrane CLI globally to enable the Openclaw Skills connectivity:
npm install -g @membranehq/cli@latest
Next, authenticate the CLI with your specific agent type:
membrane login --tenant --clientName=openclaw
Create a connection to the LinearB platform:
membrane connection ensure "https://linearb.io/" --json
If the connection state is BUILDING, wait for it to become READY:
npx @membranehq/cli connection get <id> --wait --json
LinearB Data Schema & Taxonomy
The LinearB skill organizes engineering data into several key categories for clear metadata taxonomy:
| Category | Data Entities |
|---|---|
| Organizational | Users, Teams, Team Members |
| Technical | Services, Repositories, Branches, Pull Requests |
| Performance | Deployments, Incidents, Goals, Investment Items |
Actions executed via Openclaw Skills return JSON objects containing schemas defined by the specific LinearB endpoint, ensuring type safety and structured responses for the AI agent.
LinearB Advanced Features
- Direct API Proxying: Send custom requests to the LinearB API with automatic authentication header injection.
- Automated Credential Lifecycle: Membrane handles all token refreshes and secure storage server-side.
- Intent-Based Discovery: Use natural language to find the most efficient action for a specific task within Openclaw Skills.
- DORA Metrics Automation: Programmatically create incidents and deployments to keep analytics up to date.
- Multi-Agent Support: Tailor tooling adjustments for different harnesses like Claude, Codex, or Warp.
SKILL.md
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