Acts as an explore-first planning consultant that studies the codebase and writes a single decision-complete work plan before any implementation starts.

Custom licenceAuto-check passedAgent Workflows

Install ULW Plan

skills CLI
$ npx skills add code-yeongyu/oh-my-openagent --skill ulw-plan -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install code-yeongyu/oh-my-openagent ulw-plan --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/code-yeongyu/oh-my-openagent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/omo-senpi/skills/ulw-plan .claude/skills/ulw-plan && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ulw-plan
GitHub stars
70k
Token cost
~4.8k tokens
SKILL.md length
2,586 words
Files
7 (incl. scripts, references)
Skills in repo
44
Repo updated
First seen
Licence
Custom licence

At a glance

Acts as an explore-first planning consultant that studies the codebase and writes a single decision-complete work plan before any implementation starts.

  • Works in 2 steps: Persona + no-implementation pledge -… → Workflow preview - the order of what…
  • An explicit request for the ulw-plan workflow
  • SKILL.md covers Senpi Harness Tool Compatibility, Senpi Review Policy…, Senpi Design Consultation… and MANDATORY OPENING ANNOUNCEMENT, plus 8 more sections
  • Runs JavaScript scripts from its folder; calls node

What it does

This skill produces one work plan before coding begins and runs only when you explicitly ask for the ulw-plan workflow or a plan before implementation; it does not start on its own during a plain ulw run. It begins by exploring the codebase, then branches on whether your intent is clear or unclear, with a reference file for each case and another on calibrating the consultant's stance.

The skill also carries harness notes for the Senpi environment. Examples written for OpenCode, such as `call_omo_agent` and `background_output`, are translated to Senpi's native `task` and `task_output` tools, with task categories taken from the delegation router. Every plan gets a high-accuracy review by one native plan-reviewer pass over the full plan file, capped at five rounds unless you decline it or ask for no cap. Two bundled scripts, `scaffold-plan.mjs` and `plan-templates.mjs`, handle plan scaffolding and templates.

When your agent uses it

  • An explicit request for the ulw-plan workflow
  • Wanting a written plan with the decisions already made before any code changes
  • Scoping a feature whose requirements are still unclear, ahead of implementation

Example prompts

  • “Use ulw-plan to plan the permissions refactor before we touch any code.”
  • “Write a decision-complete work plan for adding SSO login, and have it reviewed.”
  • “I want a plan before implementation: move our job queue to a new worker pool.”

Requirements

  • The Senpi harness with its native task and plan-reviewer tools
  • Node.js to run the bundled .mjs scaffolding scripts

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. Persona + no-implementation pledge - from now on you work as the Ultrawork Planner, a planning consultant, and you will never start…
  2. Workflow preview - the order of what happens next: parallel read-only exploration (plus outside research when the repo cannot answer)…

What it can do on your machine

Read from SKILL.md and the folder at commit cbd7dd2. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (JavaScript), which the agent can run.

    Shell commands in SKILL.md call:

    • node

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

ULW Plan loads about 4.8k tokens when it runs, and up to ~18k if it reads all its reference files. Until then it costs about 60 tokens; SKILL.md has 2,586 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~60
When it runs · the whole SKILL.md, loaded when a task matches
~4.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~18k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 2,586 words (~4,814 tokens).

“This skill may include examples copied from the OpenCode harness. In Senpi, do not call OpenCode-only tools such as call_omo_agent(...), task(...), background_output(...), or team_*(...) literally. Translate those examples to Senpi native tools:”

— opening of SKILL.md by code-yeongyu, Custom licence
name
ulw-plan
argument-hint
<planning-request>
metadata.short-description
Explore-first planning consultant that waits for your okay before planning

Read the full SKILL.md on GitHub

Files

SKILL.md and 6 other files (scripts, references) in packages/omo-senpi/skills/ulw-plan of code-yeongyu/oh-my-openagent.

  • SKILL.md
  • references/full-workflow.md
  • references/intent-clear.md
  • references/intent-unclear.md
  • references/stance-calibration.md
  • scripts/plan-templates.mjs
  • scripts/scaffold-plan.mjs

Open the folder on GitHubat commit cbd7dd2

Compare with similar skills

ULW Plan next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

ULW Plan compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
ULW Plan this skillcode-yeongyu/oh-my-openagent70k—~4.8kAutomated safety check: PassCustom licence
Execute Taskanombyte93/prd-taskmaster604—~4.8kAutomated safety check: NotesMIT
Phased Plan Makerthedotmack/claude-mem97k—~788Automated safety check: PassApache-2.0
PlanEliasOulkadi/shokunin114—~1.9kAutomated safety check: PassMIT
Subagent Driven DevelopmentAsvarox/allkaraoke26137 repos~1.2kAutomated safety check: PassNone
Planning And Task Breakdownabashev/vfs-s31068 repos~1.9kAutomated safety check: PassApache-2.0

Similar skills

  • Execute Task

    anombyte93/prd-taskmaster

    Execute the next TaskMaster task using the implementation plan with CDD verification.

    604 GitHub stars~4.8k tokensUpdated 1 mo ago
    Agent WorkflowsAuto-check: notes
  • Phased Plan Maker

    thedotmack/claude-mem

    Creates a phased implementation plan that begins with documentation discovery and frames each phase to copy from docs, with verification checklists and anti-pattern guards.

    97k GitHub stars~788 tokensUpdated today
    Agent WorkflowsAuto-check passed
  • Plan

    EliasOulkadi/shokunin

    Planning agent for task breakdown and implementation planning.

    114 GitHub stars~1.9k tokensUpdated 2 days ago
    Agent WorkflowsAuto-check passed
  • Subagent Driven Development

    Asvarox/allkaraoke

    A skill your agent uses when executing implementation plans with independent tasks in the current session

    261 GitHub starsUsed in 37 repos~1.2k tokens
    Agent WorkflowsAuto-check passed
  • Breaks work into ordered tasks. An agent skill from abashev/vfs-s3.

    106 GitHub starsUsed in 8 repos~1.9k tokens
    Agent WorkflowsAuto-check passed
  • Implementation Plan Creator

    tailcallhq/forgecode

    Writes a structured Markdown implementation plan with checkbox tasks, verification criteria and risks, then checks it with a validation script; no code changes.

    7.6k GitHub starsUsed in 1 repo~1.1k tokens
    Agent WorkflowsAuto-check passed

More from code-yeongyu/oh-my-openagent

All 44 skills in this repo
  • ast-grep Structural Search

    code-yeongyu/oh-my-openagent

    Searches and rewrites code by syntax-tree shape across 25 languages with ast-grep, for codemods, structural queries and YAML lint rules, using a Python wrapper script.

    70k GitHub stars~3.3k tokensUpdated today
    Auto-check passed
  • Browser Control with Omowright

    code-yeongyu/oh-my-openagent

    Drives a real browser through the omowright library, either the user's own signed-in browser or a separate browser the code launches, for forms, QA, screenshots and scraping.

    70k GitHub stars~2.2k tokensUpdated today
    Auto-check passed
  • Codex Plugin QA

    code-yeongyu/oh-my-openagent

    Tests the omo Codex plugin in an isolated CODEX_HOME with a local mock model, proving hooks fired through app-server notifications without touching ~/.codex.

    70k GitHub stars~1.9k tokensUpdated today
    Auto-check passed
  • Coding Agent Session Finder

    code-yeongyu/oh-my-openagent

    Finds, reads and reconstructs past coding-agent sessions across Codex, Claude, OpenCode, Senpi and many other local agent logs.

    70k GitHub stars~2.8k tokensUpdated today
    Auto-check passed
  • LSP Setup

    code-yeongyu/oh-my-openagent

    Detects which languages a project uses, installs the matching language server, writes its config and checks it with a real call so diagnostics and go-to-definition work.

    70k GitHub stars~1.4k tokensUpdated today
    Auto-check: notes
  • OpenCode QA Toolkit

    code-yeongyu/oh-my-openagent

    Tests the opencode coding agent itself: its CLI, server, plugin hooks and events, the terminal UI under tmux, and its SQLite session database, using tested helper scripts.

    70k GitHub stars~2.9k tokensUpdated today
    Auto-check passed

Categories

Questions about ULW Plan

What does ULW Plan do?

Acts as an explore-first planning consultant that studies the codebase and writes a single decision-complete work plan before any implementation starts. This skill produces one work plan before coding begins and runs only when you explicitly ask for the ulw-plan workflow or a plan before implementation; it does not start on its own during a plain ulw run. It begins by exploring the codebase, then branches on whether your intent is clear or unclear, with a reference file for each case and another on calibrating the consultant's stance.

When should I use ULW Plan?

ULW Plan fits situations like: an explicit request for the ulw-plan workflow; wanting a written plan with the decisions already made before any code changes; scoping a feature whose requirements are still unclear, ahead of implementation.

How do I install ULW Plan in Claude Code?

Run `npx skills add code-yeongyu/oh-my-openagent --skill ulw-plan -a claude-code`. Or copy the skill folder (packages/omo-senpi/skills/ulw-plan in code-yeongyu/oh-my-openagent) into .claude/skills/ulw-plan in your project. Claude Code loads it when a task matches its description.

How do I install ULW Plan in Codex?

Run `npx skills add code-yeongyu/oh-my-openagent --skill ulw-plan -a codex`. Or copy the skill folder (packages/omo-senpi/skills/ulw-plan in code-yeongyu/oh-my-openagent) into .agents/skills/ulw-plan in your project. Codex loads it when a task matches its description.

Can I use ULW Plan in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add code-yeongyu/oh-my-openagent --skill ulw-plan -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ulw-plan, .gemini/skills/ulw-plan, .github/skills/ulw-plan and .opencode/skills/ulw-plan in your project.

What does ULW Plan need to run?

Going by SKILL.md and its folder, ULW Plan needs JavaScript for the scripts in its folder and the command-line tools its instructions call (node). Our summary lists: The Senpi harness with its native task and plan-reviewer tools; Node.js to run the bundled .mjs scaffolding scripts.

Does ULW Plan access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is ULW Plan safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does ULW Plan use?

ULW Plan has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does ULW Plan use?

About 4.8k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 14k tokens, read only when the agent opens those files.

What are the alternatives to ULW Plan?

Skills that share tags, products or a category with ULW Plan: Execute Task (anombyte93/prd-taskmaster, 604 stars), Phased Plan Maker (thedotmack/claude-mem, 97k stars), Plan (EliasOulkadi/shokunin, 114 stars) and Subagent Driven Development (Asvarox/allkaraoke, 261 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains ULW Plan?

code-yeongyu (a GitHub user) maintains it in code-yeongyu/oh-my-openagent, which has 69,850 GitHub stars. The repository holds 44 skills in this directory. The repository was last updated on October 7, 2026.

Source: code-yeongyu/oh-my-openagent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.