A powerful multi-modal interface that provides a single API gateway to over 50 state-of-the-art AI models for chat, media generation, and advanced automation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install self-improve-agent
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 self-improve-agent 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 Self-Improving Agent with SkillBoss?
The Self-Improving Agent skill is designed to bridge the gap between complex AI model management and actionable agent workflows. By utilizing SkillBoss, this skill provides developers with a unified entry point to access top-tier models from providers like Bedrock, OpenAI, Vertex, and ElevenLabs. It is a core component of the Openclaw Skills ecosystem, enabling agents to not only execute tasks across diverse domains—such as image generation, document parsing, and SMS verification—but also to learn from errors and corrections to improve performance over time.
This skill eliminates the need for managing multiple API keys and custom integration logic for every new model. It introduces a standardized way to interact with text, audio, video, and search capabilities, making it an essential tool for building robust, multi-modal AI agents that require high flexibility and reliability.
Self-Improving Agent with SkillBoss Use Cases
- Creating dynamic marketing content by generating images, videos, and background music from single prompts.
- Building automated research assistants that perform deep web searches and scrape structured data from websites.
- Developing customer support agents that can process PDF documents and send SMS or email notifications.
- Implementing voice-enabled applications with high-fidelity text-to-speech and accurate speech-to-text transcription.
- Scaling AI operations by using smart routing to select the cheapest or most capable model for specific tasks.
How Self-Improving Agent with SkillBoss Works
- The skill authenticates with the SkillBoss API using a single, unified API key configured in the environment variables.
- When a task is requested, the agent can either call a specific model ID or use the Pilot mode to auto-select the best model for the category.
- The request is processed through the Openclaw Skills framework, which handles the communication with the underlying model provider.
- Output data, such as generated media URLs or parsed text, is returned to the agent for further action or storage.
- The skill monitors for errors and learns from corrections, ensuring that future interactions are more accurate and efficient.
Self-Improving Agent with SkillBoss Setup
To get started with this skill, you must first obtain an API key from SkillBoss. Once you have your key, configure it as an environment variable in your agent setup.
# Set your SkillBoss API Key
export SKILLBOSS_API_KEY="your_key_here"
# Verify the installation by listing available models
curl -s https://api.heybossai.com/v1/models \
-H "Authorization: Bearer $SKILLBOSS_API_KEY"
Self-Improving Agent with SkillBoss Data Schema & Taxonomy
The skill uses a structured approach to handle inputs and outputs across various model types. Below is the general schema used for interacting with the API.
| Attribute | Description | Examples |
|---|---|---|
| model | The unique identifier for the AI model | bedrock/claude-4-5-sonnet, mm/img |
| inputs | A dictionary of parameters required by the model | { "prompt": "text", "duration": 30 } |
| pilot | The smart routing endpoint for task-based selection | type: "image" or type: "chat" |
| response | The structured result from the provider | image_url, video_url, or choices[0].message |
Self-Improving Agent with SkillBoss Advanced Features
- Pilot Smart Routing: Automatically determines the optimal model based on task type (chat, image, search, etc.) to balance cost and quality.
- Multi-Provider Integration: Seamlessly switch between Bedrock, Vertex, Replicate, and others without changing your code structure.
- Document Intelligence: Advanced parsing models that convert complex PDFs and DOCX files into clean, structured Markdown.
- Learning Loop: Internal mechanisms to capture errors and user corrections, enhancing the reliability of the Openclaw Skills implementation.
- Specialized Tools: Built-in support for background removal, SMS verification, and structured data extraction from web searches.
SKILL.md
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