Analyze a GitHub user's profile to extract skills, languages, contribution patterns, and interests.

Returns a structured skill profile including top languages, starred topics, contribution frequency, and repository highlights.

Find beginner-friendly open-source issues labelled 'good first issue' for a given programming language.

Returns up to 15 recently created issues from public repos.

Score a repository's health and contributor-friendliness (0-100).

Checks activity recency, community size, PR merge patterns, open issues, and whether the repo has essential contributor files.

Check how easy it is to set up and contribute to a repository.

Looks for Dockerfile, CI configs, documentation, contributing guide, and issue/PR templates. Returns a readiness checklist with difficulty rating.

Gather full context about a GitHub issue so the AI can draft a PR plan.

Fetches issue body, comments, labels, contributing guidelines, and repo directory structure for comprehensive PR planning.

Find trending repositories that are actively seeking contributors.

Searches for recently created repos with good-first-issue labels, sorted by stars.

Estimate the impact of contributing to a specific repository.

Produces an impact tier (MASSIVE/HIGH/MEDIUM/LOW) and a suggested resume line.

All-in-one: analyze a GitHub profile and instantly find issues matched to that user's top skills.

Detects the user's primary language and returns 10 matching good-first-issues.

Compare two GitHub repositories side-by-side for contributor-friendliness.

Returns stars, PR merge rate, activity, and a recommendation on which to contribute to.

Check if a GitHub issue is still available — no one has claimed it or opened a PR for it.

Checks assignees and linked pull requests to determine availability.

Get the top contributors of a repository with their commit counts and profiles.

Returns the top 10 contributors ranked by number of commits.

Find old, unclaimed issues in a repo that no one is working on — hidden easy wins.

Returns issues older than 30 days with no assignees.

List all labels in a repository with their descriptions and open issue counts.

Helps contributors discover which labels mark beginner-friendly issues, bugs, features, documentation tasks, and more.

Show recently merged pull requests in a repository.

Helps contributors see what kind of PRs get accepted, how fast they're merged, and who the active reviewers are.

Get an activity pulse for a repo over the last 30 days.

Shows commit frequency, issue open/close rate, PR activity, and whether the project is gaining or losing momentum.

Find repositories that actively mentor newcomers.

Searches for repos with mentorship labels, extensive contributing guides, and programs like GSoC, Outreachy, or Hacktoberfest.

Estimate the complexity of a specific GitHub issue.

Analyzes issue body length, number of comments, labels, linked PRs, and discussion depth to produce a complexity rating.

Inspect a repo's tech stack by reading its dependency files.

Checks package.json, pyproject.toml, requirements.txt, go.mod, Cargo.toml, and Gemfile to show what libraries and frameworks the project uses.

Find repositories similar to a given one based on topics and language.

If you like contributing to repo X, this finds other repos in the same domain that are also welcoming to contributors.

Find small, quick issues perfect for a weekend or 1-2 hour contribution.

Searches for issues labelled documentation, typo, test, chore, or other low-effort tags in addition to good-first-issue.

Get a detailed language breakdown for a repository.

Shows percentage of each programming language used in the codebase. Helps you decide if you have the right skills before contributing.

Rate how ready a GitHub user is for open source contributions.

Scores profile completeness, coding activity, language diversity, and gives personalized tips on what to improve before contributing.