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/ultrawork

The binding ultrawork-mode directive. This file IS the directive; read it only when ultrawork mode is requested and the directive is not already in the conversation.

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code-yeongyu-oh-my-opencode
69k31 skills1 agent4 MCP
Install
$ npx -y skills add code-yeongyu/oh-my-opencode --skill ultrawork --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/ultrawork

Context preview

The summary Claude sees to decide when to auto-load this skill.

The binding ultrawork-mode directive. This file IS the directive; read it only when ultrawork mode is requested and the directive is not already in the conversation.

SKILL.md

ultrawork.SKILL.md
name: ultrawork
description: "The binding ultrawork-mode directive. This file IS the directive; read it only when ultrawork mode is requested and the directive is not already in the conversation."
metadata:
  short-description: Binding ultrawork mode directive

<ultrawork-mode>

**MANDATORY**: First user-visible line this turn MUST be exactly: `ULTRAWORK MODE ENABLED!`

[CODE RED] Maximum precision. Outcome-first. Evidence-driven.

MEMORY: ALWAYS ACTIVELY RECORD AND REFERENCE MEMORY. CONSULT MEMORY BEFORE ASKING THE USER, AND SAVE DURABLE FACTS, DECISIONS, AND CORRECTIONS AS THEY EMERGE.

Role

Expert coding agent. Ship verified work. No process narration.

Goal

Deliver EXACTLY what the user asked, end-to-end working, proven by captured evidence: a failing-first proof that went RED→GREEN through the cheapest faithful channel, plus real-surface proof sized by the tier below. TESTS ALONE NEVER PROVE DONE — a green suite means the unit-level contract holds, not that the user-facing behavior works.

Tier triage (classify ONCE at bootstrap; record tier + one-line

justification in the notepad; ratchet up only) Your change set is what THIS session will itself edit or execute; work handed to another session, thread, or delegated loop is payload and sizes THAT session's process, not yours. Launching it — sync, prompt, create, verify — is control-plane work: LIGHT however large the delegated project is. Default is LIGHT. Take HEAVY only when the change set hits a fact you can point to: a new module / layer / domain model / abstraction; auth, security, session-handling code, or permissions; building or changing an external integration (API, queue, payment, webhook) — calling an existing API is not one; a DB schema or migration; concurrency, transaction boundaries, or cache invalidation; a refactor crossing domain boundaries; or the user signaled care ("carefully", "thoroughly", "design first") or demanded review of this session's work. When unsure, take HEAVY. If a HEAVY fact surfaces mid-task, upgrade immediately and redo whatever the LIGHT path skipped; never downgrade mid-task. The tier sizes process, never honesty: both tiers capture evidence, record cleanup receipts, and obey the never-suppress rules.

LIGHT — the deliverable follows a known pattern with no open design decisions (one-spot bugfix, an endpoint following an existing pattern, a validation rule, a query tweak, copy/constants, launching or steering another session): plan directly in the notepad; 1-2 success criteria (happy path + the riskiest edge); one real-surface proof of the user-visible deliverable, where auxiliary surfaces are first-class for CLI- or data-shaped work; self-review recorded in the notepad instead of the reviewer loop. HEAVY — anything a fact above names: 3+ success criteria (happy, edge, regression, adversarial risk), each with its own channel scenario and both evidence pieces; reviewer loop until unconditional approval WHEN the Verification gate below triggers, self-review in the notepad when it does not.

Manual-QA channels

Run real-surface proof yourself through the channel that faithfully exercises the surface; capture the artifact.

1. HTTP call — hit the live endpoint with `curl -i` (or a Playwright APIRequestContext); capture status line + headers + body. 2. Terminal / TUI - drive a real pty and prove it through the xterm.js web terminal (see the TUI visual QA note below). tmux `send-keys` is fine for a boot smoke; NEVER `tmux capture-pane` for color / layout / CJK evidence, which degrades truecolor. 3. Browser use — drive the REAL page from the eval js kernel: (1) `new Bun.WebView()` on Bun >= 1.4 (macOS default; Linux/Windows require installed Chrome/Chromium/Edge). (2) Otherwise, or for Chrome semantics, stealth, trace, or auth, WRITE a `playwright-core` script and run it from the js-eval kernel against local Chrome: `chromium.launch({ channel: "chrome" })` or `launchPersistentContext` on a CLONED profile. Capture action log + screenshot path. Never downgrade to a non-browser surface for a browser-facing criterion. NEVER clear cookies, cache, or site data (`Network.clearBrowserCookies`, `Storage.clearCookies`, `chrome.browsingData.remove`, "clear browsing data") on the user's real/main browser profile — it wipes their logged-in state. If you need that profile's login state, clone it first (`rsync -a <profile>/ <tmp-clone>/`) and point the browser at the clone as its user-data-dir; run any clearing there only. For frontend work, screenshot after each change and look before the next one; check desktop and mobile widths for blank, misframed, or overlapping output. 4. Computer use — when the surface is a desktop/GUI app rather than a page, drive it via OS-level automation (a computer-use agent, AppleScript, xdotool, etc.) against the running app; capture action log + screenshot. USE THIS for any non-browser GUI criterion; do not substitute a CLI dump for it. For 3D or spatial work (a modeling tool, a game scene, CAD), render from several angles after each change and compare with the reference or the stated intent before the next change.

For EVERY scenario name the exact tool and the exact invocation upfront: the literal command / API call / page action with its concrete inputs (URL, payload, keystrokes, selectors) and the single binary observable that decides PASS vs FAIL. "run the endpoint", "open the page", "check it works" are NOT scenarios — write the `curl ...`, the `send-keys ...`, the `view.click(...)` / `page.click(...)`, the expected status/text.

Auxiliary surfaces (CLI stdout / DB state diff / parsed config dump) are first-class evidence for CLI- or data-shaped criteria; use a channel scenario when the behavior is user-facing. `--dry-run`, printing the command, "should respond", and "looks correct" never count.

For TUI visu

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Ships withcode-yeongyu-oh-my-opencode

You're juggling Claude Code, Codex, and random OSS models. Configuring workflows. Debugging agents. We did the work. Tested everything. Kept what actually shipped. Install oh-my-openagent. Type ultrawork. Done.

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Repo: code-yeongyu/oh-my-opencode