Skillport helps users to integrate and manage agent skills across various AI agents and coding environments seamlessly. With a focus on efficiency, it allows for centralized management and deployment via CLI or MCP, making it versatile for developers and AI enthusiasts.
claude install gotalab/skillportSkillport helps users to integrate and manage agent skills across various AI agents and coding environments seamlessly. With a focus on efficiency, it allows for centralized management and deployment via CLI or MCP, making it versatile for developers and AI enthusiasts.
["1. **Install Skillport**: Use the CLI to install the Skillport package. This can be done by running the command `pip install skillport` in your terminal.\n\n2. **Configure Skillport**: Open the Skillport configuration file and specify the required parameters such as API keys and data sources. Save the file and close it.\n\n3. **Define the Task**: In your Automa agent, define the task you want to automate. Specify the data you want to collect and the actions you want to perform.\n\n4. **Deploy the Skill**: Use the CLI to deploy the Skillport skill to your Automa agent. This will involve running a command like `automa deploy --skill skillport --agent [AGENT_NAME]`.\n\n5. **Test and Validate**: Test the integration by running the Automa agent and verifying that the Skillport skill is correctly collecting and processing the specified data. Validate the results by checking the output logs and ensuring that the data is accurate and complete."]
Integrate custom skills into AI agents
Manage agent capabilities across different platforms
Enhance coding efficiency with AI assistance
Automate skill deployment in development environments
claude install gotalab/skillportgit clone https://github.com/gotalab/skillportCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Integrate the [SKILL_NAME] skill into my Automa agent to automate [TASK]. Ensure the skill is properly configured to handle [SPECIFIC_DATA] and deploy it using the CLI. Provide a step-by-step guide for testing and validating the integration.
To integrate the Skillport skill into your Automa agent for automating lead generation, follow these steps: 1. **Install and Configure Skillport**: - Use the CLI to install the Skillport package: `pip install skillport`. - Configure the Skillport settings in your Automa agent by specifying the required parameters such as API keys and data sources. 2. **Define the Task**: - In your Automa agent, define the task you want to automate. For example, you might want to automate the process of collecting lead information from a web form. - Specify the data you want to collect, such as names, email addresses, and phone numbers. 3. **Deploy the Skill**: - Use the CLI to deploy the Skillport skill to your Automa agent. This will involve running a command like `automa deploy --skill skillport --agent [AGENT_NAME]`. 4. **Test and Validate**: - Test the integration by running the Automa agent and verifying that the Skillport skill is correctly collecting and processing the specified data. - Validate the results by checking the output logs and ensuring that the data is accurate and complete. By following these steps, you can successfully integrate the Skillport skill into your Automa agent and automate the lead generation process.
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