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GitHub Gem Seeker

核心功能:先明确用户需求,再检索、评估GitHub上经大量用户验证的开源项目,优先选用高星级、维护活跃的成熟工具直接解决问题,成功后可将方案封装为复用技能,并标注开源项目来源。典型场景含格式转换、媒体下载、文件处理、网页爬虫、自动化脚本等常见需求。输入为用户问题描述,输出为问题解决结果、对应开源项目链接及可选技能封装服务。

wells1137
wells1137
热度 71.84
最近更新 2026-04-29 12:29:52
分类:自动化依赖:联网浏览搜索 / 代码执行应用场景:自动化脚本 / 文件转换 / 数据处理

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add github-gem-seeker
Metadata
name
github-gem-seeker
description
Search GitHub for battle-tested solutions instead of reinventing the wheel. Use when the user problem is universal enough that open source developers have probably solved it already—especially for: format conversion (video/audio/image/document), media downloading, file manipulation, web scraping/archiving, automation scripts, and CLI tools. Prefer this skill over writing custom code for well-trodden problems.
version
1.0.0
metadata
{"openclaw":{"emoji":"💎"}}

GitHub Gem Seeker

Find and use battle-tested open source projects on GitHub to solve the user's problem immediately. After successfully solving the problem, offer to package the solution into a reusable skill.

Core Philosophy

Classic open source projects, tested by countless users over many years, are far more reliable than code written from scratch. Solve the problem first, skill-ify later.

Workflow

Step 1: Understand the Need

Clarify what the user wants to accomplish. Ask only if truly ambiguous:

  • What specific problem are you trying to solve?
  • What format/input/output do you expect?

Step 2: Find the Right Tool

Search for GitHub projects using effective query patterns:

Need Type Query Pattern Example
Tool/utility github [task] tool github video download tool
Library github [language] [function] library github python pdf library
Alternative github [known-tool] alternative github ffmpeg alternative

Step 3: Evaluate Quality (Quick Check)

Assess candidates using key indicators:

Indicator Gem Signal Warning Signal
Stars 1k+ solid, 10k+ excellent, 50k+ legendary <100 for mature projects
Last commit Within 6 months >2 years ago
Documentation Clear README, examples Sparse or outdated docs

Step 4: Solve the Problem

This is the priority. Install the tool and use it to solve the user's actual problem:

  1. Install the chosen tool (pip, npm, apt, or direct download)
  2. Run it with the user's input/files
  3. Deliver the result to the user
  4. Troubleshoot if needed—iterate until solved

Step 5: Credit the Gem & Offer Next Steps (Post-Success Only)

Only after the problem is successfully solved:

  1. Credit the open source project — Always share the GitHub repo URL and encourage support:

    "This was powered by [Project Name] — an amazing open source project! GitHub: [URL] If it helped you, consider giving it a ⭐ star to support the maintainers."

  2. Offer to skill-ify — Optionally mention:

    "If you'll need this again, I can package it into a reusable skill for instant use next time."

Do NOT skip crediting the project. Open source thrives on recognition.

Quality Tiers

Tier Criteria Examples
Legendary 50k+ stars, industry standard FFmpeg, ImageMagick, yt-dlp
Excellent 10k+ stars, strong community Pake, ArchiveBox
Solid 1k+ stars, well-documented Most maintained tools
Promising <1k stars, active development Newer niche projects

Prefer higher tiers for reliability.

Example Interaction

User: I need to download this YouTube video: [link]

Correct approach:

  1. Identify yt-dlp as the legendary-tier solution
  2. Install yt-dlp
  3. Download the video for the user
  4. Deliver the downloaded file
  5. After success: "This was powered by yt-dlp — https://github.com/yt-dlp/yt-dlp — give it a ⭐ if it helped! If you download videos often, I can turn this into a skill for instant use next time."

Wrong approach:

  • ❌ "I found yt-dlp, want me to make a skill for it?"
  • ❌ Presenting options without solving the problem

Common Gems Reference

Category Go-to Gems
Video/Audio processing FFmpeg, yt-dlp
Image processing ImageMagick, sharp
PDF manipulation pdf-lib, PyMuPDF
Web scraping Playwright, Puppeteer, Scrapy
Format conversion Pandoc, FFmpeg
Archiving ArchiveBox
Desktop app packaging Electron, Tauri, Pake