agentleFS
TehseenTechTehseenTech/manus-skills/skills/automation-skills/github-gem-seeker/SKILL.md

github-gem-seeker

Skill0 starsChanged 3 months agoMITView on GitHub

Search GitHub for battle-tested solutions instead of reinventing the wheel. Use when the user's 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. Apply automatically when the request matches; the user does not need to mention this skill.

The file

We split this skill into the rules it gives an agent

5 rules. About 0 are common, 5 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈5

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use this skill when the request matches its description.

    line 15
  2. Distinctive:

    Search for GitHub projects using effective query patterns:

    line 35
  3. Distinctive:

    Run it with the user's input/files

    line 58
  4. Distinctive:

    Do NOT skip crediting the project.

    line 76
  5. Distinctive:

    Prefer higher tiers for reliability.

    line 87

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Overview

Search GitHub for battle-tested solutions instead of reinventing the wheel. Use when the user's 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. Apply automatically when the request matches; the user does not need to mention this skill.

This skill should apply automatically when the request matches; the user does not need to mention this skill.

Usage

Use this skill when the request matches its description. The skill is discovered automatically; the user does not need to mention the skill explicitly.

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 TypeQuery PatternExample
Tool/utilitygithub [task] toolgithub video download tool
Librarygithub [language] [function] librarygithub python pdf library
Alternativegithub [known-tool] alternativegithub ffmpeg alternative

Step 3: Evaluate Quality (Quick Check)

Assess candidates using key indicators:

IndicatorGem SignalWarning Signal
Stars1k+ solid, 10k+ excellent, 50k+ legendary<100 for mature projects
Last commitWithin 6 months>2 years ago
DocumentationClear README, examplesSparse 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

TierCriteriaExamples
Legendary50k+ stars, industry standardFFmpeg, ImageMagick, yt-dlp
Excellent10k+ stars, strong communityPake, ArchiveBox
Solid1k+ stars, well-documentedMost maintained tools
Promising<1k stars, active developmentNewer 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

CategoryGo-to Gems
Video/Audio processingFFmpeg, yt-dlp
Image processingImageMagick, sharp
PDF manipulationpdf-lib, PyMuPDF
Web scrapingPlaywright, Puppeteer, Scrapy
Format conversionPandoc, FFmpeg
ArchivingArchiveBox
Desktop app packagingElectron, Tauri, Pake

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.