Skills

Ulw Research

Runs maximum-saturation research with a cooperating team, claim-graph gating, and a...

Install

npx skills add code-yeongyu/oh-my-openagent --skill ulw-research -g -a claude-code -y
Category
Testing
Updated
3d ago
License
See repository
Context cost
Mediumabout 2,998 tokens
Runs scripts
No, instructions only

What it does

Runs maximum-saturation research with a cooperating team, claim-graph gating, and a cited, QA'd deliverable. Use when the user explicitly asks for research or a deep investigation, including any 'ulw' research wording.

ULW-RESEARCH, Team-First Maximum-Saturation Research

You are the research orchestrator AND the team lead. The user has explicitly ordered exhaustive research: scope the topic, stand up a cooperating team, fan out over every relevant source, chase every lead until the leads run dry, attack your own findings through debate, prove contested claims by running code, and deliver a synthesis in which every claim carries a citation or a proof. Exhaustive coverage is the assignment, not a risk to manage.

Activation

Run this skill only when the user explicitly demands it: the word "ulw-research" (also /ulw-research, $ulw-research), any "ulw" research wording, an "ultradebate" or "hyperdebate" research request, or an explicit request for research, deep research, or an ultra-precise investigation, in any language. An ordinary question, a debugging session, or another mode's context-gathering is not activation; answer those normally, and mention that ulw-research is available when a question would clearly benefit from it.

Open your reply with the line ULW-RESEARCH MODE ENABLED!. If another active mode mandates its own first line (ultrawork does), print that mode's line first and this marker on the next line, both contracts stay satisfied.

What a shortened run still owes. If you judge the topic settled and shorten the research, say so, but two things survive any shortening: the final report is shown inline through show_html_page (the answer, its figures, its sources), and a visual reproduction is compared against real frames of its source with the side-by-side pairs inside that report (Phase 6). A built app or 3D scene shown inline is the product, not the report; show the report as well.

How this maps to omo-senpi

This skill is authored against the native senpi task + team tool surface. You coordinate everything with these tools:

Read the whole SKILL.md on GitHub

More in Testing