A robust integration allowing AI agents to manage SaaS help documentation, search sessions, and user workflows through the CommandBar platform.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install commandbar
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 commandbar 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 CommandBar?
CommandBar serves as an AI copilot and unified search interface for SaaS applications, enabling users to navigate features and access support documentation instantly. This skill integrates CommandBar into the Openclaw Skills ecosystem via Membrane, providing a streamlined way for agents to interact with SaaS data records and automate support tasks.
By using this skill, developers can empower their agents to query help center content, manage search sessions, and perform organizational actions without manually handling complex authentication. The integration ensures that Openclaw Skills can securely access the full suite of CommandBar capabilities with minimal configuration overhead.
CommandBar Use Cases
- Automating the retrieval and delivery of help center documentation to end users.
- Managing and updating snippets for consistent support communication.
- Tracking and analyzing search sessions to improve SaaS user experience.
- Executing internal application actions via natural language intent discovery.
- Synchronizing user and organization metadata across SaaS platforms.
How CommandBar Works
- The agent initializes the environment by installing and logging into the Membrane CLI.
- A connection is established to the specific CommandBar instance using the application URL.
- The system polls for connection readiness, handling any required client actions like OAuth authentication automatically.
- The agent searches for available CommandBar actions based on natural language intent (e.g., "find documentation").
- Actions are executed with JSON parameters, or raw API requests are sent through a managed proxy that handles credential refreshing.
CommandBar Setup
To begin using this skill within the Openclaw Skills environment, install the Membrane CLI and authenticate:
npm install -g @membranehq/cli@latest
membrane login --tenant --clientName=openclaw
Establish a connection to your CommandBar instance:
membrane connection ensure "https://www.commandbar.com/" --json
If the connection state is BUILDING, wait for it to become READY:
membrane connection get <id> --wait --json
CommandBar Data Schema & Taxonomy
The skill organizes data around the following core entities:
| Entity | Data Description |
|---|---|
| Organization | Manages users, integrations, and account-level records. |
| Help Center | Contains the structured content and articles for support. |
| Search Bar | Tracks search session metadata and user queries. |
| Snippets | Reusable content fragments for automated responses. |
| Actions | Dynamically discovered functions with specific input/output schemas. |
CommandBar Advanced Features
- Intent-based discovery: Find the right API tools using natural language instead of hardcoded endpoints.
- Automated Auth Lifecycle: Membrane manages token refreshes and secure storage, so Openclaw Skills never expose sensitive keys.
- Transparent Proxy: Access any CommandBar API endpoint with automatic header injection and path normalization.
- Machine-Readable Outputs: All operations support a --json flag, making it easy for AI agents to parse and chain multiple workflows.
SKILL.md
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