Agent skill · data analytics · aiskillstore
github-project-contributor-finder-api-skill
This skill helps users extract GitHub repository project details and contributor contact information using keywords, stars, and update dates. Agent should proactively apply this skill when users express needs like search for GitHub projects by keywords, find top open-source contributors in specific domains, extract developer contacts from GitHub repositories, discover trending repositories with high stars, gather contributor profiles and social links for tech recruiting, retrieve GitHub project descriptions and metrics, build developer communities by finding active contributors, search for repositories updated recently, collect personal website and Twitter links of developers, generate targeted leads for developer tools, or track active open-source contributors for collaboration.
Why this skill is useful
Provides a specific API integration for extracting GitHub project and contributor data that the AI wouldn't reliably generate on its own.
What it needs
Requires python installed locally. Requires browseract account access. About 4k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
GitHub Project & Contributor Finder API Skill 📖 Brief This skill utilizes BrowserAct's GitHub Project & Contributor Finder API to extract project details and contributor contact information from GitHub. Simply provide keywords, minimum stars, and an update date filter — BrowserAct traverses the search results, extracts repository metrics, and fetches detailed contributor profiles, returning it all directly via API without building crawler scripts or dealing with rate limits. ✨ Features 1. No Hallucinations: Pre-set workflows avoid AI generative hallucinations, ensuring stable and precise data extraction. 2. No Captcha Issues: No need to handle reCAPTCHA or other verification challenges. 3. No IP Restrictions: No need to handle regional IP restrictions or geofencing. 4. Faster Execution: Tasks execute faster compared to pure AI-driven browser automation solutions. 5. Cost-Effective: Significantly lowers data acquisition costs compared to high-token-consuming AI solutions. 🔑 API Key Setup Before running, check the BROWSERACTAPIKEY environment variable. If not set, do not take other measures; ask and wait for the user to provide it. Agent must inform the user: "Since you haven't configured the BrowserAct API Key yet, please visit the BrowserAct Console to get your Key." 🛠️ Input Parameters The agent should flexibly configure the following parameters based on user requirements: 1. KeyWords Type: string Description: Keywords for searching repositories. Example: browser automation, react framework, machine learning Default: browser automation 2. stars Type: number Description: Minimum number of stars the repository should have. Example: 100, 1000 Default: 100 3. updated Type: string Description: Filter repositories by the date they were last updated (format: YYYY-MM-DD). Example: 2026-01-01, 2025-06-01 Default: 2026-01-01 4. PageTurns Type: number Description: Number of search result pages to paginate through. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/github-project-contributor-finder-api-skill