A powerful CLI-driven skill for automating AI-powered phone calls and voice interactions via the Bland AI API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install bland
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 bland 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 Bland AI Voice Calling Skill?
This skill enables developers and teams to integrate programmatic voice calling into their workflows. By leveraging the Bland AI API, the skill allows for the creation of autonomous voice agents that can handle restaurant reservations, call screening, and complex data collection over the phone. As part of the Openclaw Skills ecosystem, it provides a seamless interface to manage voice tasks directly from the command line or through AI agent interactions.
Users can customize the agent's behavior through detailed task prompts, select from various AI voices, and manage inbound numbers. Whether you need to automate routine business calls or build sophisticated voice-based automation, this tool provides the necessary infrastructure to bridge the gap between AI logic and telephony.
Bland AI Voice Calling Skill Use Cases
- Automating restaurant or service reservations using AI voice agents.
- Screening inbound calls to filter spam or gather preliminary information.
- Conducting automated customer follow-ups or appointment confirmations.
- Extracting and analyzing call transcripts for business intelligence and data logging.
- Real-time polling of call status for critical automated workflows.
How Bland AI Voice Calling Skill Works
- The user initiates a call request via the CLI or an agent command, specifying the recipient's phone number and a descriptive task prompt.
- The Bland AI engine processes the request, initiating an outbound call and executing the provided task instructions in real-time.
- During or after the call, users can monitor status, retrieve recordings, or generate full text transcripts for review.
- Optional AI analysis can be performed on the call data to verify if specific goals were met or to summarize the conversation.
- Inbound call agents can be configured to listen for incoming calls and respond based on predefined logic.
Bland AI Voice Calling Skill Setup
To get started with this skill within the Openclaw Skills framework, you must configure your API credentials and environment.
# Add your Bland AI API Key to the environment file
echo "BLAND_API_KEY=your_api_key_here" >> /root/clawd/.env
# Verify your account balance before making calls
bland balance
# Place your first AI call
bland call +14155551234 --task "Call and ask for store hours"
Bland AI Voice Calling Skill Data Schema & Taxonomy
The skill organizes data through API calls and local script execution, focusing on call metadata and transcript storage.
| Field | Description |
|---|---|
| call_id | Unique identifier for each voice transaction |
| transcript | Formatted text of the AI and recipient conversation |
| status | Real-time state of the call (e.g., queued, completed) |
| voice_id | The specific AI voice profile used for the interaction |
| recording_url | Temporary link to the audio recording of the call |
Bland AI Voice Calling Skill Advanced Features
- Support for custom inbound number purchase and automated inbound agent configuration.
- Deep AI analysis of call outcomes based on specific user-defined goals using the analyze command.
- Real-time polling and blocking with the wait flag for immediate transcript retrieval upon call completion.
- Multi-model support including base and specialized voice models for high-fidelity audio output.
- Comprehensive management tools for stopping active calls and clearing queues globally.
SKILL.md
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