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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.

Install / Use

npx skills add code-yeongyu/oh-my-openagent --skill ultrawork

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

90/100

Supported Platforms

Universal

Tags

Our assessment of ultrawork

ultrawork scores 90/100 on our quality scale, 204th of 1,630 Development & Engineering skills we index (top 13%).

Its SKILL.md is 30 KB long, well organised into 27 sections with 1 code example: a thorough specification that gives an agent plenty to work with.

With 69,362 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
30/30
Structure
17/20
Description
15/15
Adoption
20/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated today, so ultrawork is actively maintained.
  • No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
  • Its trust signals score 88/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

ultrawork compared with similar skills

All 4 of these similar skills score higher than ultrawork; compare them before choosing.

SkillScoreStarsUpdatedFormat
ultrawork (this skill)by code-yeongyu9069.4ktodaySKILL.md
ai-job-searchby MadsLorentzen10043.9k3d agoCLAUDE.md
claude-howtoby luongnv8910041.7k5d agoCLAUDE.md
algorithmic-artby anthropics100177.9k2d agoSKILL.md
pptxby anthropics100177.9k2d agoSKILL.md

Frequently asked questions

How do I install ultrawork?
Run npx skills add code-yeongyu/oh-my-openagent --skill ultrawork. The install tabs above show the steps for each supported agent.
Which AI agents does ultrawork work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is ultrawork safe to use?
It declares no license and scores 88/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is ultrawork still maintained?
The repository was last updated today, so ultrawork is actively maintained.

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; report at handoffs, not between them.

Goal

Deliver EXACTLY what the user asked, end-to-end working, proven by captured evidence: the changed behavior RUN through its real surface, sized by the tier below, with the tests the repository keeps for it still green. 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 an HTTP client from js eval); 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 with omowright (staged in the browser skill; load it through that skill's scripts/omowright.mjs): the owned engine (connectPipe on a task-owned profile, connectCloakProfile for bot-scored targets) for unauthenticated pages, and the attached engine (connectBrowserSkill() in the user's own signed-in browser, then bskSnapshot / session.observe / session.click) when the page needs their login. Capture action log + screenshot path. Never downgrade to a non-browser surface for a browser-facing criterion, and never launch a headless browser because the attached one is missing — run the browser skill's onboarding script and relay its one human step. 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, and never clone it — it wipes or invalidates their logged-in state. 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 visual QA, render the terminal through the real xterm.js web terminal and screenshot it - never a tmux capture-pane dump, which degrades color and wide-glyph width. In this repo: bun script/qa/web-terminal-visual-qa.mjs --title "<surface>" --command "<cmd>" --input "{Enter}" --evidence-dir <dir> (live pty + xterm.js in Chrome; --from-file <capture> replays a raw stream). Outside this repo, capture equivalent browser-rendered terminal evidence: screenshot + plain transcript + cleanup receipt.

Bootstrap (DO ALL FOUR BEFORE ANY OTHER WORK — NO SKIPPING)

When a ulw-loop pointer or the ulw-execute skill accompanies this directive, that contract supersedes bootstrap sections 1-3: its state owns the goal and is the notepad (the loop CLI's goals and ledger, or Boulder plus .omo/ulw-execute/ledger.jsonl), and its checklist is the plan.

0. Survey the skills, gather context, then size the work

First, survey the loaded skill list and read the description of each loosely relevant skill. Decide explicitly which skills this task will use and prefer using every genuinely applicable one — name them in the notepad with a one-line reason each. Skipping a skill that fits the task is a defect. Open a skill's body only when THIS session will execute its workflow; skills a delegated session needs are named in its prompt and read there, not here. Next, fire the first discovery wave under Finding things below — one eval cell, with parallel lookups covering the code, git history of paths to touch, memory, and prior session evidence. Record the current problem, decision points with their evidence, and the IDEAL END STATE in the notepad; name that state in the goal objective and measure later choices against it. Then run Tier triage (above) on the change set and record the tier — tier sizes evidence and review, never who plans. Size planning by what the wave left UNDECIDED, not by how many steps you can list: spawn a planning child via task only when open design decisions remain — unclear module boundaries, several viable decompositions, or a multi-file build whose dependency order is not obvious — pass it the gathered findings (file:line facts, constraints, unknowns), and follow its wave order, parallel grouping, and verification exactly. Whether the plan comes from a child or the notepad, it MUST name the delegation topology with a one-line reason per part: a cooperating team (team_create) for interdependent lanes, parallel background task subagents for independent parts, per-part category routing, and what you keep for yourself. A known procedure — however many steps — and questions about work you are delegating never justify a planner: plan directly in the notepad. Never spawn the planner before the discovery wave has returned.

1. Create the goal with binding success criteria

You MUST register the goal with the create_goal tool — NOT prose, NOT the notepad, NOT the plan: the registered goal is the binding contract for the whole run, and skipping it is a defect. Call it with exactly objective; do not include status. Only when no goal tool exists on this surface, open your reply with a # Goal block treated as binding. Goals are unlimited; never invent a numeric budget or limit. Write the objective at full detail: every deliverable, every named surface, every constraint the user stated — a vague objective produces vague criteria, and vague criteria cannot be proven. The criteria MUST list, upfront:

  • The user-visible deliverable in one line, and the tier with its justification.
  • Success criteria sized by tier (LIGHT 1-2, HEAVY 3+ covering happy path, edge cases — boundary / empty / malformed / concurrent — and adjacent-surface regression named by file + function), each naming its exact scenario: the literal command / page action / payload and the binary PASS/FAIL observable, plus the evidence artifact it will capture.
  • WHEN TO STOP, in one line: "I'll stop right away when <the exact observable state that ends this run>". The Stop rules bind to this line — the moment it holds, you stop.

These scenarios are the contract. You are not done until every one of them PASSES with its evidence captured. Waiting on the goal is a legal turn ending, never blocked: while a monitor, pending child notification, scheduled continuation, or any other live resumption channel is on duty to wake the run, end the turn and let it fire. update_goal with status blocked requires a true impasse — no live resumption channel exists AND the same block recurs across consecutive goal turns. Blocking over an armed wait (the canonical case: a CI watch with auto-merge) freezes the goal while its wake-up event is already in flight. A decision only the user can make is asked through the question tool - waiting for the answer when the run cannot proceed without it - never recorded as blocked.

2. Open the durable notepad

Run: NOTE=$(mktemp -t ulw-$(date +%Y%m%d-%H%M%S).XXXXXX.md). Echo the path. Initialise it with these sections and APPEND (never rewrite) as you work:

# Ultrawork Notepad — <one-line goal>
Started: <ISO timestamp>

## Plan (exhaustively detailed)
<every step you will take, in order, broken to atomic actions>

## Success criteria + QA scenarios
<copied from the goal>

## Now
<the single step in progress>

## Todo
<every remaining step, ordered>

## Findings
<every non-obvious fact discovered, with file:line refs>

## Learnings
<patterns / pitfalls / principles to remember next turn>

Append each finding, decision, command, test read, and QA artifact path the moment it happens. Update ## Now and ## Todo on every transition. Append-only — never rewrite. This notepad is your durable memory and it OUTLIVES the context window. After any compaction or context loss (a Context compacted notice, a summarized history, or you no longer see your own earlier steps), STOP and re-read the WHOLE notepad FIRST

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars69.4k
CategoryDevelopment
Updated16h ago
Forks5.7k

Languages

TypeScript

Trust signals

88/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

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