Waydev for Openclaw

A powerful engineering intelligence skill for tracking software development metrics and team performance through the Membrane ecosystem.

gora050
v1.0.4
May 1, 2026
0
421
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install waydev

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install waydev 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 Waydev?

Waydev is a comprehensive engineering intelligence platform designed to provide data-driven insights into the software development lifecycle. By integrating this skill with Openclaw Skills, developers and managers can effortlessly monitor team performance, identify workflow bottlenecks, and enhance overall code quality. This integration allows AI agents to interact with Waydev data directly, fetching critical metrics about commits, pull requests, and review processes without manual data gathering.

The skill leverages the Membrane framework to provide a secure and efficient way to query engineering data. By using Openclaw Skills with Waydev, organizations can transform raw development activity into actionable intelligence, helping to optimize resource planning and sprint delivery through a streamlined, agentic interface.

Waydev Use Cases

  • Monitoring team performance and delivery velocity through automated reports.
  • Identifying bottlenecks in the code review and pull request lifecycle.
  • Generating engineering impact reports to visualize developer contributions.
  • Managing project goals and resource planning based on real-time data.
  • Automating the collection of sprint and work log reports for stakeholders using Openclaw Skills.

How Waydev Works

  1. The agent initializes the environment using the Membrane CLI and authenticates the user account.
  2. A connection to the Waydev platform is established and verified to ensure it is in a ready state.
  3. The agent searches for specific actions like fetching reports or commit data based on natural language intent within the Openclaw Skills framework.
  4. Desired actions are executed through the Membrane proxy, which handles all authentication headers and credential refreshes automatically.
  5. The resulting data is returned in a structured format for the agent to analyze or present to the user.

Waydev Setup

To get started with this skill for Openclaw Skills, follow these steps:

Install the Membrane CLI:

npm install -g @membranehq/cli@latest

Authenticate your agent:

membrane login --tenant --clientName=openclaw

Establish the Waydev connection:

membrane connection ensure "https://waydev.co/" --json

If the connection state is BUILDING, poll until it is ready:

membrane connection get <id> --wait --json

Waydev Data Schema & Taxonomy

The Waydev skill for Openclaw Skills organizes data into the following primary entities:

Entity Data Included
Waydev User Commit history, Pull Request status, Review activity, and Developer identity.
Reports Daily, Team Performance, Delivery Tracker, Engineering Impact, and Sprint reports.
Projects Organizational metadata and repository-level tracking details.
Goals Target metrics and progress logs for engineering teams.
Work Log Temporal data regarding developer contributions and task duration.

Waydev Advanced Features

  • Automated credential management: Never handle API keys manually as Openclaw Skills and Membrane manage the full OAuth lifecycle.
  • Natural language discovery: Search for specific Waydev actions using intent-based queries.
  • Request Proxying: Send direct requests to any Waydev API endpoint with automatic header injection and token refreshing.
  • Long-polling support: Wait for asynchronous connection states to resolve before executing tasks.
  • Machine-readable output: Use the --json flag for seamless integration into complex AI workflows.

SKILL.md


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