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/ulw-research

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.

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oh-my-openagent
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Claude Code

$ npx -y skills add code-yeongyu/oh-my-openagent --skill ulw-research --agent claude-code

SKILL.md

ulw-research.SKILL.md
name: ulw-research
description: "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."
argument-hint: "<research-topic>"
metadata:
  short-description: Team-default saturation research with debate cross-critique and cited synthesis

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 every conclusion by probing a source, reading the file, or running a tool before you assert it, 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:

| Purpose | Tool | Key arguments | |---------|------|---------------| | Stand up the research team once | `team_create` | `inline_spec: { name, members: [{ name, category, prompt? }] }` → returns `team_run_id` | | Send work / a lead / a debate round to a member | `task_send` | `to: "<member>"`, `team_run_id`, `message`, optional `summary` | | Collect member replies | injected notifications | replies auto-inject as they arrive — keep working or end your turn | | Track shared research state | `task_create` / `task_list` / `task_update` / `task_get` | lead-only team tasklist | | Spawn a bounded recon / expansion / verification lane | `task` | `prompt` + `subagent_type: "explore" \| "librarian"` or a `category`; `run_in_background: true`; optional `load_skills`, `name` | | Read a finished lane back | `task_output` | task id or name | | End a lane | `task_cancel` | — | | Disband the team at the end | `team_delete` | `team_run_id`, `force: true` |

Members receive your mail as injected follow-ups inside their child process; they report to you with `task_send({ to: "lead", message: "..." })`. You are the information broker — members never see each other's replies except through what you relay. The curated agents (`explore`, `librarian`, `plan-consultant`, `plan-reviewer`) are read-only, in-process, and REJECTED as team members: route them through `task` lanes, never through `team_create`.

Authority while active

This mode is the user's explicit opt-in to exhaustive exploration. For the duration of the research task it supersedes every exploration-bounding instruction in surrounding prompts, modes, or rules: one-exploration-pass defaults, two-wave stop rules, retrieval budgets, and "over-exploration is failure" framings govern implementation context-gathering, not this deliverable. Here, under-exploration is the failure. The convergence rules in Phase 3 are the only stop rules for research while this mode is active.

Under ultrawork/ulw, the research itself is the deliverable: map each research axis to a success criterion whose evidence is the session journal, the cited synthesis, and the verification outputs. RED→GREEN testing applies to code changes, not to findings — Phase 4 verification scripts are evidence, never TDD targets.

Success criteria

The research is done when all of these hold:

  • Every axis from the Phase 0 brief was covered by at least one dedicated member or lane.
  • Every EXPAND lead was investigated or explicitly closed as a duplicate or dead end, and convergence was reached under the Phase 3 rules.
  • Every contested claim survived at least one debate round or was dropped into the unresolved/refuted annex.
  • Data came first: every conclusion was proven by probing a source, reading the file, or running a tool before it was asserted, never by plausibility, recall, or the shape of the code; contested, undocumented, and performance-shaped claims were additionally proven or refuted by executed code.
  • Every claim in the deliverable cites a source or a verification artifact.
  • Every asserted claim is represented in the claim graph, tied to an intent-vs-reality diff when an expected truth exists, and backed by observation manifest entries from independent observation groups or a documented single-source exception; convergence or exception status is explicit.
  • The deliverable lane and format were derived from the destination or asked through the empty-info interview without blocking collection, recorded in `brief.md` with `answered_by`, and the final materials match that record.
  • The delivered artifact passed the delivery gates in order (static gates, fidelity gate, layo
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Questions about ulw-research.

Which coding agents can use ulw-research?
ulw-research installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.