OpenCollab FAQs

Question 1

What are 'stale issues' and how can OpenCollab help me find them?

Accepted Answer

Stale issues are old, unclaimed tasks in open source projects that no one is currently working on. OpenCollab's 'stale_issue_finder' helps you discover these hidden 'easy wins,' allowing you to make impactful contributions that others have overlooked.

Question 2

Can OpenCollab help me evaluate open source projects?

Accepted Answer

Yes, OpenCollab scores a repository's health and contributor-friendliness, checks setup difficulty (e.g., Dockerfile, CI, documentation), and allows you to compare projects side-by-side to find the best place for your contributions.

Question 3

Does OpenCollab generate code or just suggestions?

Accepted Answer

OpenCollab acts as a data bridge, fetching and structuring real-time data from the GitHub API. This data is then used by your existing AI client (like Claude) to provide smart recommendations, generate PR plans, and offer insights, without incurring additional AI costs.

Question 4

How does OpenCollab find issues tailored to my skills?

Accepted Answer

OpenCollab performs an in-depth analysis of your GitHub profile, including languages, topics, and contribution patterns. It then uses this data to intelligently match you with 'good first issues' or 'help wanted' tasks you are best suited for.

Question 5

What is OpenCollab?

Accepted Answer

OpenCollab is an AI-powered tool that helps developers find perfectly matched 'good first issues' in open source projects. It analyzes your GitHub profile and skills to suggest relevant contributions.

OpenCollab

OpenCollab

Key Features

Use Cases

Key Features

Use Cases