Agent skill

Ultra Mode

by xz1220 in xz1220/open-dynamic-workflows

Execute explicitly authorized Ultracode / Ultra Mode requests: optimize for exhaustive, correct answers within the user's stated scope by using any available independent-work mechanism (ODW…

MITAuto-check passedAgent Workflows

Install Ultra Mode

skills CLI
$ npx skills add xz1220/open-dynamic-workflows --skill ultra-mode -a claude-code

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

GitHub CLI
$ gh skill install xz1220/open-dynamic-workflows ultra-mode --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/xz1220/open-dynamic-workflows.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ultra-mode .claude/skills/ultra-mode && 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
ultra-mode
GitHub stars
106
Token cost
~1.9k tokens
SKILL.md length
966 words
Files
3 (incl. references)
Skills in repo
4
Repo updated
First seen
Licence
MIT

At a glance

Execute explicitly authorized Ultracode / Ultra Mode requests: optimize for exhaustive, correct answers within the user's stated scope by using any available independent-work mechanism (ODW…

  • Works in 5 steps: Check odw --version. → In this repository, use… → Outside this repository, read… → …
  • The user explicitly says ultracode
  • SKILL.md covers Scope Discipline, Pick The Decomposition Purpose, Control Flow and Quality Gates, plus 3 more sections
  • Runs JavaScript scripts from its folder

What it does

Ultra Mode is an agent skill from xz1220/open-dynamic-workflows. Execute explicitly authorized Ultracode / Ultra Mode requests: optimize for exhaustive, correct answers within the user's stated scope by using any available independent-work mechanism (ODW workflows, subagents, dispatched workers, or tool-worker fan-out), with serial multi-pass fallback only when no such mechanism exists. Use when the user explicitly says ultracode, ultra mode, go exhaustive, deep mode, multi-agent, parallel, adversarial, comprehensive, do not miss anything, check every angle, or asks for…

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/ultra-mode-workflow.js`).

It sits in Agent Workflows, covering Multi-agent orchestration. The repository describes itself as: Open Dynamic Workflows: TypeScript CLI runtime for Claude Code-style dynamic workflows across Codex, Claude Code, Gemini, Qwen, Kimi, and custom coding-agent CLIs. The licence is MIT.

When your agent uses it

  • The user explicitly says ultracode
  • Do not miss anything
  • Check every angle
  • Asks for several independent verification strategies

Example prompts

  • “/ultra-mode”

Requirements

  • Node.js

Workflow steps

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

  1. Check odw --version.
  2. In this repository, use examples/ultra-mode.js for the common planner ->
  3. Outside this repository, read references/ultra-mode-workflow.js and write
  4. For tasks needing loop-until-dry, custom domain fan-out, or pipeline
  5. Inspect final, lanes, and reviews; treat them as advisory material.

What it can do on your machine

Read from SKILL.md and the folder at commit 16f57ee. 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 script files (JavaScript), which the agent can run.

    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

Ultra Mode loads about 1.9k tokens when it runs, and up to ~4k if it reads all its reference files. Until then it costs about 164 tokens; SKILL.md has 966 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~164
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from xz1220/open-dynamic-workflows at commit 16f57ee, republished under its MIT licence (© xz1220). 966 words, ~1,943 tokens.

Download SKILL.mdSave it as .claude/skills/ultra-mode/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
ultra-mode
description
Execute explicitly authorized Ultracode / Ultra Mode requests: optimize for exhaustive, correct answers within the user's stated scope by using any available independent-work mechanism (ODW workflows, subagents, dispatched workers, or tool-worker fan-out), with serial multi-pass fallback only when no such mechanism exists. Use when the user explicitly says ultracode, ultra mode, go exhaustive, deep mode, multi-agent, parallel, adversarial, comprehensive, do not miss anything, check every angle, or asks for several independent verification strategies. Do not activate merely because a task is difficult, technical, ambiguous, or high-stakes.

Ultracode / Ultra Mode

Ultracode is a behavioral mode, not a specific tool. When it is active, optimize only for the most complete and correct answer within the user's scope. Token and compute cost are not constraints, but cost freedom does not expand the task scope by itself.

Use whatever independent-work mechanism the environment provides. In this repository, prefer Open Dynamic Workflows (odw). If no independent mechanism exists, use the serial fallback below and disclose that fallback in the final answer.

Scope Discipline

  • Treat activation as explicit authorization only. Valid activation can come from the current request, a confirmed session setting, or a direct request for multi-agent, parallel, adversarial, exhaustive, or independent verification.
  • Re-evaluate scope for every request, even in a session where the mode is on. Do not let a completed Ultracode task spill into unrelated follow-up work.
  • Keep trivial work trivial. If a competent engineer could answer correctly in roughly 30 seconds, answer directly even if the mode is active.
  • Match depth to the request. Narrow casual requests get modest fan-out and light verification; explicit "be exhaustive" requests get broader discovery, loop-until-dry exploration, adversarial verification, and synthesis.
  • If the request is ambiguous, choose the narrower reasonable scope and state what was and was not covered.
  • Add workers or rounds only to close a concrete coverage gap. "Budget remains" is not a reason by itself; "area X is unexamined" is.

Pick The Decomposition Purpose

Before dispatching work, decide which purpose the split serves:

  • Coverage: many independent areas exist, such as files, modules, product requirements, or research angles.
  • Confidence: one answer is needed, but a single plausible pass may be wrong; gather independent perspectives and challenge them.
  • Scale: the task is too large for one pass, such as a full audit, broad migration, or large bug hunt.

Most real Ultracode runs combine at least two of these purposes.

Control Flow

Ask first: can a worker's result be used immediately, or must all sibling results exist before the next step?

  • Fan-out / fan-in: dispatch independent units, then merge at a barrier. Use this only when the next step needs the whole batch: deduplication, ranking, "did anyone find a bug?", or final synthesis.
  • Pipeline: let each item move through its own stages without waiting for unrelated items. Default to this for multi-stage work like discover -> verify -> write.
  • Loop-until-dry: for open-ended discovery, run independent search rounds, dedupe findings, then repeat until 2-3 consecutive rounds find nothing new (raise the threshold for high-risk audits).
  • Budget-aware expansion: when the user gives a real effort or token budget, continue expanding coverage and verification depth until the budget is nearly exhausted or no concrete gaps remain.

Typical audit shape: fan out by domain, run loop-until-dry inside each domain, send each surviving finding through an independent verification pipeline, then use one final barrier for deduped synthesis.

Quality Gates

  • Adversarial verification: for any non-trivial finding or "fixed" claim, send skeptics whose job is to refute it. The burden of proof is on the claim. Keep the finding only when most serious refutation attempts fail.
  • Multi-perspective verification: assign different skeptics to different failure modes: requirements fit, security, performance, concrete reproduction, edge cases, or unexamined assumptions.
  • Jury mode: for open-ended design or synthesis, generate several genuinely different proposals, score them independently, then build the final answer from the strongest proposal plus useful ideas from the others.
  • Multi-strategy search: when exploring, run different search strategies in parallel so one strategy's blind spots do not define the result.
  • Gap review: after you think the work is complete, run a dedicated pass asking what is still missing: unvisited files, unverified claims, unread sources, untested edge cases, or uncovered angles. Treat any real gap as new work, not as a footnote.
  • Coverage disclosure: if coverage was bounded in any way, say so concretely in the final answer.
Show full SKILL.md (336 more words)Show less

ODW Mapping

When odw is available, prefer it for independent work.

  1. Check odw --version.
  2. In this repository, use examples/ultra-mode.js for the common planner -> lanes -> reviewers -> synthesis pattern.
  3. Outside this repository, read references/ultra-mode-workflow.js and write it to a temporary or project-local workflow such as .odw/workflows/ultra-mode.js.
  4. For tasks needing loop-until-dry, custom domain fan-out, or pipeline behavior, write a task-specific ODW workflow instead of forcing everything through the bundled template.
  5. Inspect final, lanes, and reviews; treat them as advisory material. Perform real edits, tests, commits, and final judgment yourself.

Bounded run:

bash
odw run examples/ultra-mode.js --wait --args '{"task":"<task>","intensity":"standard"}'

Longer run:

bash
RUN=$(odw run examples/ultra-mode.js --args '{"task":"<task>","intensity":"max"}')
odw logs "$RUN" --follow
odw result "$RUN"

Useful arguments:

  • task: required unless passing a bare string.
  • intensity: lite, standard, or max; default to standard.
  • lanes: independent work lanes; default is 3/4/6 by intensity.
  • reviewers: adversarial reviewers; default is 2/3/4 by intensity.
  • constraints: hard requirements as a string or string array.
  • context: relevant files, repo facts, prior findings, or user preferences.
  • finalFormat: requested shape for the synthesis.

Ultra-mode lanes request isolation explicitly (isolation: "worktree"), so lane edits land in throwaway git worktrees — keep that unless the user explicitly asks for shared in-place execution (ODW's default) and accepts the risk. Worktree isolation needs the source to be a committed git repo. Stop or pause unexpected runs with odw stop <run_id> or odw pause <run_id>.

Serial Fallback

If no independent workers are available, simulate the structure deliberately:

  1. Write the decomposition plan first: slices, perspectives, or domains.
  2. Process each slice as an independent pass and avoid letting earlier conclusions bias later passes.
  3. Run verification as separate passes, switching into skeptical perspectives.
  4. Repeat discovery rounds until a round finds nothing new or the stated budget is nearly exhausted.
  5. Disclose in the final answer that coverage and verification were done by serial multi-pass simulation, not by independent parallel workers.

Final Responsibility

Worker outputs are raw material, not the final answer. Read them, resolve conflicts, dedupe overlapping findings, decide what is actually true, and synthesize one coherent answer. Do not end with a mere list of what each worker said.

© xz1220, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in skills/ultra-mode of xz1220/open-dynamic-workflows.

  • SKILL.md
  • agents/openai.yaml
  • references/ultra-mode-workflow.js

Open the folder on GitHubat commit 16f57ee

Compare with similar skills

Ultra Mode 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.

Ultra Mode compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ultra Mode this skillxz1220/open-dynamic-workflows106—~1.9kAutomated safety check: PassMIT
Orca CLIstablyai/orca89k2 repos~593Automated safety check: PassMIT
Paseo Advisor Second Opiniongetpaseo/paseo20k1 repos~756Automated safety check: PassCustom licence
O2 Review Loopopenobserve/openobserve22k—~3.7kAutomated safety check: PassAGPL-3.0
Paseo Committeegetpaseo/paseo20k1 repos~496Automated safety check: PassCustom licence
Mission Control Agent APIbuilderz-labs/mission-control6.3k—~2.1kAutomated safety check: PassMIT

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  • Ultra Mode

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Categories

Questions about Ultra Mode

What does Ultra Mode do?

Execute explicitly authorized Ultracode / Ultra Mode requests: optimize for exhaustive, correct answers within the user's stated scope by using any available independent-work mechanism (ODW…. Ultra Mode is an agent skill from xz1220/open-dynamic-workflows. Execute explicitly authorized Ultracode / Ultra Mode requests: optimize for exhaustive, correct answers within the user's stated scope by using any available independent-work mechanism (ODW workflows, subagents, dispatched workers, or tool-worker fan-out), with serial multi-pass fallback only when no such mechanism exists.

When should I use Ultra Mode?

Ultra Mode fits situations like: the user explicitly says ultracode; do not miss anything; check every angle; asks for several independent verification strategies.

How do I install Ultra Mode in Claude Code?

Run `npx skills add xz1220/open-dynamic-workflows --skill ultra-mode -a claude-code`. Or copy the skill folder (skills/ultra-mode in xz1220/open-dynamic-workflows) into .claude/skills/ultra-mode in your project. Claude Code loads it when a task matches its description.

How do I install Ultra Mode in Codex?

Run `npx skills add xz1220/open-dynamic-workflows --skill ultra-mode -a codex`. Or copy the skill folder (skills/ultra-mode in xz1220/open-dynamic-workflows) into .agents/skills/ultra-mode in your project. Codex loads it when a task matches its description.

Can I use Ultra Mode 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 xz1220/open-dynamic-workflows --skill ultra-mode -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ultra-mode, .gemini/skills/ultra-mode, .github/skills/ultra-mode and .opencode/skills/ultra-mode in your project.

What does Ultra Mode need to run?

Going by SKILL.md and its folder, Ultra Mode needs JavaScript for the scripts in its folder. Our summary lists: Node.js.

Does Ultra Mode 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 Ultra Mode 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. Review the folder before installing.

What licence does Ultra Mode use?

Ultra Mode is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ultra Mode use?

About 1.9k tokens (SKILL.md is roughly 7.8k 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 2k tokens, read only when the agent opens those files.

What are the alternatives to Ultra Mode?

Skills that share tags, products or a category with Ultra Mode: Orca CLI (stablyai/orca, 89k stars), Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars), O2 Review Loop (openobserve/openobserve, 22k stars) and Paseo Committee (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ultra Mode?

xz1220 (a GitHub user) maintains it in xz1220/open-dynamic-workflows, which has 106 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on September 7, 2026.

Source: xz1220/open-dynamic-workflows on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.