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ULW-Research — Maximum-Saturation Research

A research orchestrator that fans parallel explore/librarian/browsing workers across your codebase, the web, official docs and OSS repos, recursively expands every lead, and ships a fully cited PDF/DOCX report.

AutomationAdvanced67,5315,507AI score 9/10Last updated: Aug 9, 2026

What it does

  • Decomposes the question into 3+ orthogonal axes and proposes the final deliverable format (PDF + DOCX by default) and template before any searching starts.
  • Launches the entire first wave at once — codebase explorers, web librarians, browsing agents for blocked pages, and repo deep-divers — with a minimum-worker table per query scope.
  • Reads each worker's mandatory ## EXPAND tail and immediately spawns expansion waves per lead, stopping only on zero unchecked leads, 3 barren waves, or depth 5.
  • Keeps an auditable, real-time session journal: intent-diff.md, claim-graph.md, observation-manifest.md, verification-economics.md, excursion-log.md.
  • Proves or refutes contested, undocumented, or performance claims by actually running code; every sentence in the deliverable carries a citation or a verification artifact, and the delivery ends with a source-count/runtime briefing.

Who it's for

  • Anyone doing research where a wrong claim is expensive: legal, medical, financial, procurement, or public-facing work.
  • Engineers who need documented technology decisions (library comparisons, architecture choices) with evidence trails.
  • Users on harnesses that support parallel subagents (OMO / Codex / OpenCode) who want deep investigation automated.

Examples

  1. /ulw-research compare three payment gateways → per-axis workers cover pricing, API docs, incident history, and real-world reviews, returning a cited comparison in PDF + DOCX.
  2. ulw-research exhaustively map session-expiry handling in this repo → grep variants, structural search, LSP references, and git log -S history (including deleted code) cross-validated into file:line evidence.
  3. ultradebate: is this benchmark claim true? → red-team members attack claim quality and source independence while contested points get settled by executed verification scripts.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/code-yeongyu/oh-my-openagent/HEAD/packages/shared-skills/skills/ulw-research/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on Claude Skill Mart.
Copy the packages/shared-skills/skills/ulw-research folder from the GitHub repo code-yeongyu/oh-my-openagent into my ~/.claude/skills/code-yeongyu-ulw-research/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/code-yeongyu/oh-my-openagent.git /tmp/oh-my-openagent && mkdir -p ~/.claude/skills && cp -r /tmp/oh-my-openagent/packages/shared-skills/skills/ulw-research ~/.claude/skills/

This is a third-party skill. Check the source repository before installing.

  1. Open your terminal.
  2. Clone the repo: git clone https://github.com/code-yeongyu/oh-my-openagent.git /tmp/oh-my-openagent
  3. Create the skills folder: mkdir -p ~/.claude/skills
  4. Copy the skill: cp -r /tmp/oh-my-openagent/packages/shared-skills/skills/ulw-research ~/.claude/skills/
  5. Verify ~/.claude/skills/ulw-research/SKILL.md exists.
  6. Restart Claude Code and trigger it explicitly with /ulw-research <topic> or "do deep ulw-research on ...".
  7. Note: it shines when your harness exposes parallel subagent tools and the companion skills (ulw-loop, ultimate-browsing). Without them it degrades to a single-agent run, and each full run can consume a lot of time and tokens.
View source on GitHubLicense: NOASSERTION