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.
AutomationAdvanced★ 67,531⑂ 5,507AI 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
## EXPANDtail 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
/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.ulw-research exhaustively map session-expiry handling in this repo→ grep variants, structural search, LSP references, andgit log -Shistory (including deleted code) cross-validated into file:line evidence.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)
- Download the ZIP with the button below.
- In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
- Go to Customize → Skills → + → 'Upload a skill' and upload the 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.
- Open your terminal.
- Clone the repo:
git clone https://github.com/code-yeongyu/oh-my-openagent.git /tmp/oh-my-openagent - Create the skills folder:
mkdir -p ~/.claude/skills - Copy the skill:
cp -r /tmp/oh-my-openagent/packages/shared-skills/skills/ulw-research ~/.claude/skills/ - Verify
~/.claude/skills/ulw-research/SKILL.mdexists. - Restart Claude Code and trigger it explicitly with
/ulw-research <topic>or "do deep ulw-research on ...". - 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 GitHub ↗License: NOASSERTION