skills.rest
eylulsenakumral
eylulsenakumralCOMMUNITY
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GitHub

github-explorer

Analyzes GitHub repositories across issues, commits, and community sources into structured reports.

Updated Jun 10, 2026
Search Tags:#code review#open source#github#repository analysis#competitor research#project evaluation#community sentiment
One-click install
npx skills add https://github.com/eylulsenakumral/auto-company-clean --skill github-explorer-eylulsenakumral
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: github-explorer
Source: https://github.com/eylulsenakumral/auto-company-clean/tree/main/.claude/skills/github-explorer
Command: npx skills add https://github.com/eylulsenakumral/auto-company-clean --skill github-explorer-eylulsenakumral

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Evaluating a GitHub project requires digging beyond the README into issues, commit activity, competitor projects, and community discussions, which is time-consuming to do manually. ## Core Features & Use Cases - Multi-Source Collection: Gathers data from the GitHub repo, top issues, Chinese communities (Zhihu, WeChat, V2EX), tech blogs, and Reddit using web search, multi-engine search, and anti-scraping content extraction. - Project Health Assessment: Judges project stage (early, growing, mature, stalled) from commit frequency and curates high-quality issues with maintainer participation. - Structured Report Output: Produces a fixed-format Chinese report covering positioning, architecture, health metrics, selected issues, competitors with links, community sentiment with citations, and a subjective verdict. - Use Case: Ask about an unfamiliar open-source project and receive a sourced deep-dive report with clickable links to issues, competitors, and community discussions. ## Quick Start Ask the assistant to analyze a GitHub project by name, for example: help me take a deep look at the microsoft/graphrag repository.

Frequently Asked Questions about github-explorer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I evaluate whether a GitHub project is worth using?▼

Check commit frequency to judge project stage, read top issues by comment count for maintainer engagement, and review community discussions on Reddit or Zhihu. This skill automates that collection and outputs a structured health assessment.

How to find high-quality issues in a GitHub repository?▼

Sort issues by comment count and look for threads with maintainer participation, architecture discussions, or recurring bug reports. The skill curates the top 3-5 issues with links and summaries of the core discussion points.

What happens when web scraping fails on Zhihu or WeChat pages?▼

The skill upgrades from basic web fetching to a content extraction fallback that handles anti-scraping domains like mp.weixin.qq.com, zhihu.com, and xiaohongshu.com, returning clean Markdown with traceable sources.

Can I compare a GitHub project against its competitors?▼

Yes, the report includes a competitor comparison section sourced from README alternatives sections, issue discussions, and comparison-intent web searches. Each competitor entry includes a link to its GitHub repo or official site.

What are the limitations of automated GitHub project analysis?▼

Analysis quality depends on publicly accessible data; private discussions and deleted content are missed. Community sentiment sections may report not found when a project has little discussion outside GitHub.

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