ulw-plan — Explore-First Planning Consultant
Grounds itself in your codebase, asks only the questions exploration can't answer, and after your explicit okay writes one decision-complete work plan a worker can execute with zero follow-up interview.
Dev & CodingAdvanced★ 67,531⑂ 5,507AI score 8/10Last updated: Aug 9, 2026
What it does
- Switches Claude into the Prometheus planner persona: reads, searches, and analyzes, but never edits product code and never delegates implementation.
- Fans out parallel read-only exploration (LSP → ast-grep →
rg) plus external doc research to settle facts before asking anything. - Classifies intent as CLEAR or UNCLEAR and announces the verdict: clear requests get only genuine owner-decision questions; fuzzy ones get researched best-practice defaults instead of an interview.
- Writes the plan only after your explicit approval, into
.omo/plans/<slug>.md, with column-zero task rows (- [ ] 1. title), per-task agent-executed QA (happy + failure path), a final verification wave, and a dependency matrix. - Keeps a durable draft at
.omo/drafts/<slug>.mdso a session can resume after compaction. - Defaults to a high-accuracy plan review gate (momus) before handoff.
Who it's for
- Developers who want a real design doc before touching a large refactor or feature.
- Leads who need a hard guardrail against an agent jumping straight into implementation or inventing an "MVP" scope cut.
- Users of the oh-my-openagent (omo-senpi / OpenCode) harness with subagent delegation.
Example uses
- "Add a 5/min-per-IP rate limit to
/login" → routed CLEAR, explores middleware and existing test patterns, asks only the owner-decisions, then writes the plan after approval. - "Make auth better" → routed UNCLEAR, no extra questions, adopts and announces researched defaults, then runs the high-accuracy review automatically.
- "Break this migration down, high accuracy" → sets
review_required, produces the plan, then reports the review verdict without starting work.
· · · 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/omo-senpi/skills/ulw-plan/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/omo-senpi/skills/ulw-plan folder from the GitHub repo code-yeongyu/oh-my-openagent into my ~/.claude/skills/code-yeongyu-ulw-plan-2/. 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 && mkdir -p ~/.claude/skills && cp -r oh-my-openagent/packages/omo-senpi/skills/ulw-plan ~/.claude/skills/ulw-plan⚠ This is a third-party skill. Check the source repository before installing.
- Open a terminal and go to a working directory.
- Clone the repo:
git clone https://github.com/code-yeongyu/oh-my-openagent.git - Create the skills folder:
mkdir -p ~/.claude/skills - Copy the skill:
cp -r oh-my-openagent/packages/omo-senpi/skills/ulw-plan ~/.claude/skills/ulw-plan - Verify the bundled
references/folder andscripts/scaffold-plan.mjscame along — they are required to scaffold plan artifacts. - Make sure Node.js (
node -v) orbunis installed. - Restart Claude Code and ask for
ulw-plan, or say "make a plan before coding". - You should see
ULW-PLAN MODE ENABLED!as the first line. Note that themomus/metisreviewers are omo-senpi-specific, so the high-accuracy review step may be skipped in a vanilla Claude Code environment.
View source on GitHub ↗License: NOASSERTION