oss-first — format conversion tools oss-first, Cerebro, igorbelchior86, community, format conversion tools, ai agent skill, ide skills, agent automation, media downloading scripts, file manipulation software, web scraping libraries, automation script setup

v1.0.0
GitHub

About this Skill

Ideal for AI Agents requiring efficient content analysis and manipulation, such as Cursor, Windsurf, or Claude Code, needing advanced open-source solutions for format conversion, media downloading, and web scraping tasks. oss-first is a skill that utilizes open source solutions to solve universal problems, such as format conversion and web scraping.

Features

Supports format conversion for video, audio, image, and document files
Enables media downloading for site downloads, playlists, and batch pulls
Provides file manipulation capabilities, including rename, dedupe, and bulk metadata edits
Facilitates web scraping and archiving with crawl, snapshot, and extract functionalities
Allows for automation scripts and CLI tools, including batch jobs and scheduled tasks

# Core Topics

igorbelchior86 igorbelchior86
[0]
[0]
Updated: 3/23/2026

Quality Score

Top 5%
50
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
> npx killer-skills add igorbelchior86/Cerebro/oss-first
Supports 19+ Platforms
Cursor
Windsurf
VS Code
Trae
Claude
OpenClaw
+12 more

Agent Capability Analysis

The oss-first skill by igorbelchior86 is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for format conversion tools, media downloading scripts, file manipulation software.

Ideal Agent Persona

Ideal for AI Agents requiring efficient content analysis and manipulation, such as Cursor, Windsurf, or Claude Code, needing advanced open-source solutions for format conversion, media downloading, and web scraping tasks.

Core Value

Empowers agents to leverage open-source libraries for format conversion of video, audio, image, and document files, utilizing protocols like HTTP for media downloading and web scraping, while also enabling file manipulation through CLI tools and automation scripts.

Capabilities Granted for oss-first

Automating batch media downloads from websites using open-source tools
Converting document formats in bulk for data analysis and processing
Scraping and archiving web content for data extraction and storage

! Prerequisites & Limits

  • Requires access to open-source libraries and tools
  • Dependent on the availability and compatibility of open-source solutions for specific tasks
  • May require additional setup for CLI tools and automation scripts
Project
SKILL.md
3.8 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

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SKILL.md
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OSS-First (GitHub Scout)

When to Use

Use this skill 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 (site downloads, playlists, batch pulls)
  • File manipulation (rename, dedupe, organize, bulk metadata edits)
  • Web scraping and archiving (crawl, snapshot, extract)
  • Automation scripts and CLI tools (batch jobs, scheduled tasks, glue scripts)

Do not use this skill when:

  • The task is highly company-specific or depends on private internal systems
  • The user explicitly wants a bespoke algorithm or custom implementation
  • Licensing constraints make OSS unsuitable

Goal

Find 2 to 5 strong GitHub options that are likely to work in production, explain tradeoffs, and provide actionable “how to run it” steps.

Workflow

1) Define the Problem Precisely (60 seconds)

Extract:

  • Inputs (formats, sources, constraints, OS)
  • Outputs (desired format, structure, destination)
  • Non-negotiables (speed, GUI vs CLI, offline vs online, cost, license)
  • Risk factors (credentials, scraping ToS, DRM, PII)

Write a one-line problem statement:

  • “Convert X to Y while preserving Z on OS A, batch size N.”

2) Search GitHub Like a Pro

Use these query patterns (start broad, then narrow):

  • Repo search:

    • <keyword> <format> stars:>500 pushed:>2023-01-01
    • topic:<topic> language:<lang>
    • in:readme <keyword> in:description <keyword>
  • Examples:

    • pdf to docx cli stars:>500 pushed:>2023-01-01
    • yt-dlp download playlist stars:>1000 pushed:>2023-01-01
    • web archive crawler stars:>300 pushed:>2022-01-01

Also search:

  • GitHub Releases pages (for stable binaries)
  • Awesome lists (curated indexes) as a shortcut

3) Triage and Score Candidates

For each candidate, check:

Activity and health

  • Recent commits and releases
  • Open issues trend, maintainer responsiveness
  • CI status, tests, linting

Adoption

  • Stars and forks are signals, not guarantees
  • Downstream usage (package managers, docker pulls, integrations)

Docs and UX

  • Clear installation steps
  • Examples for the exact use-case
  • Error handling guidance

Safety and legality

  • License fit (MIT, Apache-2.0, GPL)
  • Security posture (Dependabot, security policy)
  • Avoid tools that facilitate DRM bypass or clearly illegal use

Use the checklist in references/repo-triage-checklist.md.

4) Pick the Shortlist (2 to 5)

Prefer:

  • Mature CLIs with stable releases and good docs
  • Widely adopted libraries with maintained APIs
  • Tools that work on the user’s OS without heroic setup

Balance the shortlist:

  • One “safe default”
  • One “power user” option
  • One “lightweight” option, if relevant

5) Deliver a Recommendation the User Can Execute

Output structure:

  1. Short summary: best pick and why
  2. Alternatives: when to choose them
  3. Install instructions (copy/paste)
  4. Minimal working example commands
  5. Pitfalls and gotchas
  6. License note

Use the templates in references/output-templates.md.

Quality Bar

A repo qualifies as “battle-tested” only if it meets most of:

  • Active in the last 12 to 24 months
  • Documented install and usage
  • Has releases or packaging path
  • Clear license
  • Evidence of users running it at scale

Built-In Decision Rules

  • If the user needs a one-off task, prefer a CLI.
  • If the user needs a repeatable workflow, prefer a library plus a small wrapper.
  • If the task touches private data, prefer local/offline tools over cloud.
  • If there’s a strong incumbent (e.g., ffmpeg, ImageMagick, yt-dlp), start there.

What to Provide Back to the User

Always include:

  • A direct GitHub link (or release link)
  • The simplest viable command line example
  • Any required dependencies
  • A “how to uninstall or rollback” note if the tool changes system state

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is oss-first?

Ideal for AI Agents requiring efficient content analysis and manipulation, such as Cursor, Windsurf, or Claude Code, needing advanced open-source solutions for format conversion, media downloading, and web scraping tasks. oss-first is a skill that utilizes open source solutions to solve universal problems, such as format conversion and web scraping.

How do I install oss-first?

Run the command: npx killer-skills add igorbelchior86/Cerebro/oss-first. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for oss-first?

Key use cases include: Automating batch media downloads from websites using open-source tools, Converting document formats in bulk for data analysis and processing, Scraping and archiving web content for data extraction and storage.

Which IDEs are compatible with oss-first?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for oss-first?

Requires access to open-source libraries and tools. Dependent on the availability and compatibility of open-source solutions for specific tasks. May require additional setup for CLI tools and automation scripts.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add igorbelchior86/Cerebro/oss-first. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use oss-first immediately in the current project.

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