ULW Research

by code-yeongyu

ULW Research is an AI Engineering skill for Claude Code, published by code-yeongyu in lazycodex.

3.2K stars201 forkson code-yeongyu/lazycodexAdded 2026/08/17+1% in starsRepository updated 2026/08/09

View source on GitHub Download repo ZIP

aiai-agentsclaudeclaude-codeclicodexdeveloper-toolslazylazycodexoh-my-openagentomoopenaiorchestrationtypescript

Install in seconds

Install ULW Research

Copy ULW Research into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/code-yeongyu/lazycodex/tree/main/plugins/omo/skills/ulw-research ~/.claude/skills/ulw-research

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/code-yeongyu/lazycodex.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: plugins/omo/skills/ulw-research/SKILL.md in code-yeongyu/lazycodex
Installs to: ~/.claude/skills/ulw-research
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What ULW Research does

ULW Research orchestrates maximum-saturation research using parallel explorer and librarian swarms across codebases, official docs, web sources, and open-source repositories, then delivers a cited synthesis with charts and visual QA. Use it for explicit deep-research or ultra-precise investigation requests.

ULW Research is cataloged under AI Engineering on DirSkills. ULW Research comes from a repository tagged ai, ai-agents, claude, claude-code and cli.

Documentation

README

Excerpt

Codex Harness Tool Compatibility

This skill may include examples copied from the OpenCode harness. In Codex, do not call OpenCode-only tools such as call_omo_agent(...), task(...), background_output(...), or team_*(...) literally. Translate those examples to Codex native tools:

This is the opening of the README. Read the full README on GitHub.

Commands ULW Research provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

/ulw-research

Frequently asked about ULW Research

What else does code-yeongyu publish alongside ULW Research?
ULW Research is one of 25 skills that DirSkills catalogs from code-yeongyu/lazycodex, the repository it ships in. Its siblings there include Ast-Grep, Bug Fix Contribution and Codex Rules. Each one is a separate skill with its own page in this directory, installs the same way ULW Research does, and is maintained by code-yeongyu in that same repository. The rest of the collection is listed on the code-yeongyu/lazycodex page.
How does ULW Research compare to other AI Engineering skills?
ULW Research ranks #643 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of ULW Research against them. Open each page to compare what they document and how they install.