Skip to main content
ClaudeWave
ES, Spanish
Skill70.3k estrellas del repoactualizado 5d ago

ultrawork

Binding ultrawork mode directive for omo-senpi. When a prompt contains ultrawork or ulw, the omo input hook injects the full directive as a hidden custom message (customType omo-ultrawork:directive, display false) ahead of the user's text, which is left untouched; a prompt queued while the agent is streaming instead carries the directive appended inside that same message. The directive is present in the conversation context; on the idle path it is not shown in the visible prompt, while a queued prompt carries the directive visibly (exactly as before this change). When the directive is already present in the conversation, do not read this file again - this file is that same directive. Read this file only when ultrawork mode is requested and the directive is not already present in the conversation.

Instalar en Claude Code
Copiar
git clone --depth 1 https://github.com/code-yeongyu/oh-my-openagent /tmp/ultrawork && cp -r /tmp/ultrawork/packages/omo-senpi/skills/ultrawork ~/.claude/skills/ultrawork
Después abre una sesión nueva de Claude Code; el skill carga automáticamente.

SKILL.md

<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 — in omo-senpi, use `browser:control-in-app-browser`
     first when available and no authenticated/persistent user browser
     profile is required. Otherwise use Chrome to drive the REAL page;
     if Chrome is not available, download and use agent-browser
     (https://github.com/vercel-labs/agent-browser). 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 launch Chrome / agent-browser against
     the clone as the user-data-dir; run any clearing there only.
  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 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 Browser plugin action, the `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:
`node 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 skill pointer accompanies this directive, the ulw-loop run contract supersedes bootstrap sections 1-3: the loop CLI owns goal state, its ledger is the notepa
agent-browserSkill

Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.

ast-grepSkill

Use ast-grep (sg) for AST-aware code search and rewrite across 25 languages. Trigger for structural code matching or deterministic codemods: find every function/call/class/import shaped like X, rewrite console.log to logger.info, strip `as any`, migrate require() to import, find empty catch blocks or missing await, and scan/apply YAML rules. Prefer this over rg/grep when the target is syntax shape rather than text; use rg for string contents, comments, filenames, or regex-style byte searches.

codex-qaSkill

QA the omo Codex Light edition (lazycodex / packages/omo-codex) itself, in strict isolation so ONLY our plugin is exercised, never the user's real ~/.codex. The first-party method drives the real `codex app-server` against an isolated CODEX_HOME plus a LOCAL mock model (no real API call), and proves a plugin hook fired by asserting hook/started + hook/completed notifications. Also: isolated install verification, per-component hook probes, a tmux TUI smoke, and runtime log observation (RUST_LOG / logs SQLite / /debug-config). Ships tested helper scripts each with a --self-test. Use whenever someone changes anything under packages/omo-codex or wants to QA, smoke-test, verify, or debug the Codex plugin, its hooks/components, the installer/config.toml, the app-server flow, or the Codex TUI. Triggers: codex qa, qa codex, codex-qa, test codex plugin, verify codex hook, codex app-server, lazycodex qa, isolated CODEX_HOME, prove codex hook fired, codex tui test.

coding-agent-sessionsSkill

MUST USE when asked to find, read, list, search, inspect, fetch, export, or reconstruct coding-agent sessions across Codex, Claude Code/Desktop, OpenCode, OMO/Senpi/pi, oh-my-pi (omp), gajae-code (gjc), OpenClaw, Factory Droid, Amp, Gemini/Kimi/Qwen CLIs, Codebuff, Roo/Kilo/Cline, Kodu, Cursor CLI, Aider, Aside browser-agent sessions, or unknown local agent logs. Covers transcripts, session IDs, rollout JSONL, state SQLite, Claude projects/pre-compact histories, OpenCode messages/parts, child/subagent linkage, cwd/model/time/token filters, archives, and cost clues. Expands fuzzy recall into parallel query lanes and first probes known stores so absent platforms are skipped cheaply. Triggers: coding agent sessions, Codex/Claude/OpenCode/OMO/Senpi/pi/oh-my-pi/omp/gajae-code/gjc/OpenClaw/Droid/Amp/Kodu/Cursor/Aider/Aside sessions, transcript search, session history, session ID, read transcript, token usage, subagent sessions, what did I do yesterday, did we already do this.

comment-checkerSkill

Use when Codex needs to understand or respond to automatic comment-checker feedback emitted after an edit-like PostToolUse hook.

dag-librarySkill

Store a dag definition once and re-run it in one or two lines, instead of pasting the full definition JSON into every eval cell. MUST USE whenever the user wants to save a DAG for reuse, run a previously saved/named DAG, schedule the same graph repeatedly (nightly/weekly audits, recurring multi-agent pipelines), or asks where to put a dag definition file. Triggers: dag library, save this dag, reuse a dag, run the saved dag, stored dag definition, recurring dag, nightly dag, dag 정의 저장, 저장된 dag 실행, dag 반복 실행, DAG 만들어두고 여러 번.

data-scientistSkill

Expert data processing with a hybrid engine strategy: resident-kernel engines first - DuckDB plus a resident Python stack (Polars/numpy/matplotlib) in persistent js/py eval kernels where the harness has them, bun/uv one-shots elsewhere - and per-action placement judgment (in-memory vs streaming vs remote-in-place). Triggers: 'analyze the data', 'what is in this CSV/parquet/json', 'summarize this', 'group by', 'filter rows', 'sort by', 'join these files', 'merge datasets', 'time series trend', 'compare yesterday and today', 'distribution/histogram', 'correlation', 'clean duplicates', 'handle missing values', 'dataset larger than RAM', 'SQL query on files', 'DataFrame operations', 'chart/plot this data', DuckDB vs Polars selection, quick data exploration CLI. NOT for plain text/code inspection, configs, or tiny inline math.

debuggingSkill

MUST USE for any real runtime debugging across ANY language or binary — crashes, silent failures, wrong responses, stuck processes, memory leaks, async misbehavior, unexplained timing, reverse engineering. Runs a hypothesis-driven loop: form ≥3 hypotheses, investigate in parallel, after 2 failed rounds spawn Oracles from orthogonal angles, confirm root cause, lock with a failing test, fix minimally, QA by actually USING the system, scrub artifacts. The actual HOW lives in `references/` — READ THEM. Triggers: 'debug this', 'why is X not working', 'hanging', 'attach a debugger', 'reverse engineer', 'pwndbg', 'gdb', 'lldb', 'node inspect', 'pdb', 'dlv', 'delve', 'rust-gdb', 'set a breakpoint', 'context window exploded', 'why is the response empty', 'why is this happening', 'trace this bug', 'reproduce and fix', 'silent failure', 'HTTP 200 but empty', 'why did it stop', 'inspect the binary', 'playwright', 'flaky test', 'fails intermittently', 'passes in isolation', 'only fails in CI'.