A specialized integration skill for invoking the Aida AI companion interface to generate reports and perform LLM-driven analysis.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install call-aida-app
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 call-aida-app 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 Aida LLM Invoke?
The Aida LLM Invoke skill is a dedicated integration designed to bridge the gap between local development environments and the Aida AI platform. By utilizing this Openclaw Skills contribution, developers can programmatically trigger chat-message interfaces to process complex queries, handle structured inputs, and retrieve AI-generated insights. It serves as a bridge for internal enterprise workflows that require high-level LLM analysis without relying on public cloud APIs.
This skill is specifically tuned for the Aida ecosystem, allowing for seamless communication with its internal service endpoints. It is optimized for scenarios where structured metadata must be passed to an AI agent to produce context-aware results, such as system change summaries or automated code reviews within a secure corporate network.
Aida LLM Invoke Use Cases
- Automated generation of change reports using enterprise-specific LLM models.
- Executing AI-driven analysis tasks via the Aida platform interface.
- Integrating internal AI companion capabilities into automated CLI workflows.
- Batch processing structured inputs through the Aida chat API for consistency.
How Aida LLM Invoke Works
- The user provides essential parameters including the application ID (appid), the specific query, and input data in JSON format.
- The skill executes a Python script within the Openclaw Skills environment to communicate with the Aida chat-messages endpoint.
- Data is passed either via command-line arguments or through standard input (stdin) for complex payloads.
- The skill captures the JSON response from the Aida service.
- It extracts the raw answer or data field and presents it back to the user or calling agent.
Aida LLM Invoke Setup
To get started with this component of Openclaw Skills, ensure you have the skill directory properly mapped in your local environment.
# Recommended installation path
cd ~/.openclaw/skills/aida-llm-invoke/
# Basic execution test
python3 main.py --appid YOUR_APP_ID --query "Your query" --inputs '{"key":"value"}'
Ensure your Python 3 environment is configured to reach the internal Aida service endpoints and that you have the necessary network permissions.
Aida LLM Invoke Data Schema & Taxonomy
The skill relies on a structured input schema and returns standardized JSON responses to ensure compatibility with other Openclaw Skills.
| Parameter | Type | Description |
|---|---|---|
| appid | String | The unique identifier for the Aida application (Required) |
| query | String | The natural language prompt or command (Required) |
| inputs | JSON String | Structured metadata or variables needed for the LLM task |
The output is parsed from the Aida API response, typically focusing on the data or raw_answer fields which contain the generated text.
Aida LLM Invoke Advanced Features
- Standard input (stdin) support for handling large or complex JSON inputs with special characters that might break traditional CLI arguments.
- Seamless integration with the Openclaw Skills managed directory structure for consistent path resolution across different environments.
- Ability to handle multi-step report generation by piping outputs from other diagnostic scripts into the Aida interface.
- Dynamic parameterization of enterprise-specific variables like tree IDs and user MIS tokens for personalized AI responses.
SKILL.md
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