Buildkite - OpenClaw Skill — OpenClaw Tutorials

Install Command

npx clawhub@latest install buildkite

Installation Guide

Check Environment

Make sure Node.js 22+ and OpenClaw are installed. Run openclaw --version in your terminal to verify.

Run Installation

Run the install command above in your terminal. ClawHub will automatically download and install Buildkite to the ~/.openclaw/skills/ directory.

Verify Installation

Run openclaw skills list to check your installed skills and confirm Buildkite appears in the list.

Configure (Optional)

Follow the configuration instructions in the description below to add skill settings to ~/.config/openclaw/openclaw.json5.

Manual Installation: Copy the Skill folder to ~/.openclaw/skills/ or the skills/ directory in your project root. Make sure the folder contains a SKILL.md file.

Pipeline and build status querying Job log viewing and analysis Build triggering and management

Detailed Description

Buildkite MCP server brings the capabilities of the Buildkite CI/CD platform into AI conversations, enabling you to view build statuses, analyze failure causes, and trigger new builds, helping development teams manage continuous integration and deployment more efficiently.

Core Features

Pipeline Management (list_pipelines): List all pipelines under an organization, view configurations and statuses
Build Query (list_builds/get_build): View pipeline build history, get detailed information for a single build including step statuses
Job Logs (get_job_log): Get the complete log output for a specific job in a build, useful for analyzing build failure causes
Build Trigger (create_build): Trigger a new build for a specified pipeline, with support for passing environment variables and branch parameters
Annotation Viewing: Read annotation info from builds, typically containing test reports and coverage summaries

Configuration

{
  "mcpServers": {
    "buildkite": {
      "command": "npx",
      "args": ["-y", "buildkite-mcp-server"],
      "env": {
        "BUILDKITE_API_TOKEN": "bkua_your-token",
        "BUILDKITE_ORG_SLUG": "your-org"
      }
    }
  }
}

Use Cases

Build monitoring: View build statuses and pass rates in real-time
Failure analysis: Get failed job logs and let AI analyze error causes
Auto-triggering: Automatically trigger related pipeline builds after code changes
Pipeline optimization: Analyze build time trends and identify slow steps

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