GitHub pull request info
Provides detailed information on existing pull requests on GitHub.
Last updated
Provides detailed information on existing pull requests on GitHub.
Last updated
Name:
This field allows you to assign a specific name to your skill, making it identifiable within your AI agent.
Example: You might name it "GitHub Pull Request Info Retriever" to indicate its functionality clearly.
Skill Function:
This field is for describing what the skill does. A clear description helps users understand the functionality of the skill.
Example: You might write:
GitHub Personal Access Token:
This field requires you to enter a personal access token that has the necessary permissions to access the GitHub API. This token is crucial for authenticating requests to the GitHub server.
Example: You would enter your token in the format:
GitHub Repository URL:
This field is for specifying the URL of the GitHub repository from which you want to retrieve pull request information. The URL typically follows the format: https://github.com/username/repo
.
Example: If your repository is located at https://github.com/myuser/myrepo
, you would enter this URL.
Suppose you are developing an AI assistant for your development team that helps in monitoring pull requests and providing relevant information about them. Here’s how you could set it up:
Name:
Set this to "GitHub Pull Request Info Retriever".
Skill Function:
Describe the skill as:
GitHub Personal Access Token:
Enter your GitHub access token:
GitHub Repository URL:
Enter the URL of your GitHub repository:
Once integrated into your AI agent, this skill allows the agent to fetch detailed information about a specified pull request based on user requests.
For example, if a user asks, "What is the status of pull request #42?" the AI agent can use this skill to retrieve the relevant details, such as:
The title and description of the pull request.
The status (open, closed, or merged).
Any comments made by reviewers.
The files changed in the pull request.
This functionality streamlines the code review process, making it easier for teams to collaborate and maintain code quality.