The NeuBird Ops Agent provides AI-powered SRE capabilities to analyze infrastructure health, cloud costs, and production incidents directly through your terminal.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install production-operations-agent
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install production-operations-agent using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The NeuBird Ops Agent is a powerful integration designed to bridge the gap between AI assistants and live production environments. By leveraging the NeuBird CLI, this skill enables your agent to perform complex observability tasks including health checks, cost analysis, and deep-dive investigations. It transforms raw infrastructure data into actionable insights, allowing developers and SREs to monitor and maintain system stability without leaving their workflow.
Integrating this tool as part of your Openclaw Skills library ensures that your AI assistant has a real-time pulse on your cloud infrastructure. From identifying silent failures to mapping the blast radius of potential outages, the agent acts as an automated SRE that proactively identifies risks and performance bottlenecks across AWS, GCP, Azure, and Kubernetes clusters.
To use this skill within your Openclaw Skills environment, ensure the NeuBird CLI is installed and you are authenticated:
# Install and login to NeuBird
# (Follow instructions at neubird.ai to download the binary)
neubird login
# Verify your projects
neubird projects
The NeuBird Ops Agent organizes data via temporary session files and project-based taxonomies:
| Data Type | Description |
|---|---|
| Session Files | JSON files located in /tmp/ that store stateful investigation context. |
| Project Slugs | Environment identifiers like prod_cop or staging_auto used for scoping commands. |
| Reference Docs | Markdown files for Kubernetes, Cloud Infra, and APM context to enrich findings. |
| Output Streams | Dual-layered output with progress spinners on stderr and markdown findings on stdout. |
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