What is the primary purpose of Lev Intake?

Lev Intake is designed to help developers systematically evaluate external resources—like code, videos, or articles—to see how they fit into the specific architecture and goals of their current project.

Can I use it to summarize YouTube videos?

Yes, it includes specialized routines to fetch transcripts from video URLs and save them as markdown for analysis within your project workshop.

How does it analyze the 'fit' of a repository?

It compares the external resource against your project's internal documentation, such as AGENTS.md, architecture guides, and North Star docs, to identify overlaps, conflicts, and integration value.

Where does the skill store downloaded content?

Content is stored in a 'workshop' root directory, which can be configured globally in ~/.config/lev/config.yaml or locally within your project's .lev/ directory.

What are the possible 'dispositions' in an intake report?

The skill recommends one of five actions: Integrate (full adoption), Extract (pattern reuse), Monitor (track for later), Pass (redundant), or Vendor (explicitly dependency).

Lev Intake Analyst

Name: Lev Intake Analyst
Author: lev-os

bylev-os

0•

개발자 도구

Streamlines the discovery, acquisition, and architectural analysis of external repositories, videos, and documentation within your project context.

Lev Intake is a config-driven workflow skill that automates the process of bringing external knowledge into a development environment. It resolves global and project-specific configurations to acquire content from GitHub repositories, YouTube videos, articles, and PDFs, saving them into a structured 'workshop' directory. Beyond simple downloading, the skill performs a deep architectural fit analysis against your project's internal documentation—such as AGENTS.md or North Star goals—generating a standardized report that recommends whether to integrate, extract patterns, or monitor the resource, ensuring all external additions align with your system's constraints.

주요 기능

01Multi-source content acquisition from GitHub, YouTube, articles, and PDFs

02Automated architectural fit-gap analysis against local project documentation

030 GitHub stars

04Config-driven workshop management with project-level and global overrides

05Support for custom playbooks to enforce specific review and analysis standards

06Standardized intake reports with actionable disposition recommendations

사용 사례

01Converting technical videos or articles into actionable project-local documentation

02Evaluating a third-party repository for architectural compatibility before integration

03Auditing external 'skill packages' for security and pattern alignment

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add lev-os/agents lev-intake

For use in Claude.ai and ChatGPT

Download Skill