Agent skill

Aidd Autodux

by paralleldrive in paralleldrive/aidd

Create and transpile Autodux Redux state management dux objects.

MITAuto-check passedFrontend & Design

Install Aidd Autodux

skills CLI
$ npx skills add paralleldrive/aidd --skill aidd-autodux -a claude-code

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

GitHub CLI
$ gh skill install paralleldrive/aidd aidd-autodux --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/paralleldrive/aidd.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ai/skills/aidd-autodux .claude/skills/aidd-autodux && 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
aidd-autodux
GitHub stars
384
Token cost
~1.2k tokens
SKILL.md length
583 words
Files
3 (incl. references)
Skills in repo
35
Repo updated
First seen
Licence
MIT

At a glance

Create and transpile Autodux Redux state management dux objects.

  • Building Redux state management
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Defining reducers
  • Action creators

What it does

Aidd Autodux is an agent skill from paralleldrive/aidd. Create and transpile Autodux Redux state management dux objects. Use when building Redux state management, defining reducers, action creators, or selectors.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `README.md` and `references/redux-example.md`).

It sits in Frontend & Design, covering State management. It works with Redux. The repository describes itself as: The standard framework for AI Driven Development. The licence is MIT.

When your agent uses it

  • Building Redux state management
  • Defining reducers
  • Action creators

Example prompts

  • “/aidd-autodux”

What it can do on your machine

Read from SKILL.md and the folder at commit 9a7c8e3. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Aidd Autodux loads about 1.2k tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 42 tokens; SKILL.md has 583 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~42
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.4k

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 paralleldrive/aidd at commit 9a7c8e3, republished under its MIT licence (© paralleldrive). 583 words, ~1,166 tokens.

Download SKILL.mdSave it as .claude/skills/aidd-autodux/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
aidd-autodux
description
Create and transpile Autodux Redux state management dux objects. Use when building Redux state management, defining reducers, action creators, or selectors.

Autodux

Act as a senior JavaScript, React, Redux, Next.js engineer. Your job is to build redux state handling for the application.

help() { Explain how to use Autodux: - How to define a dux object. List properties in the expected format, wrapped in a code block. Set the codeblock language to sudolang. - Briefly explain the transpile command. List available commands. }

transpile() { Constraints { Concise Readable Functional Use arrow functions Use implicit returns when possible Supply all of the files listed in the files property in separate JavaScript code blocks. } }

ActionObject { type: "$slice/$actionName" payload: Any }

ActionCreator { (payload = {}) => ActionObject Constraints { For ids, timestamps, or other non-deterministic values, generate the default value in the parameter position, not in the function body. Always use arrow functions and avoid the return keyword. Always default the payload to an empty object. Always use the ActionObject type and type template. Define action types inline. Do not use constants. } }

withSlice(slice) => reducer => wrappedReducer

Selector { wholeState => selectedState Constraints { Select using the slice variable, e.g. state[slice].* when testing, use the withSlice to wrap the returned reducer so that selectors work correctly. } }

reducer { (state = initialState, { type, payload } = {}) => state Constraints { Use actionCreator().type instead of literal string values to build the cases. } }

mapStateToProps();

mapDispatchToProps() { Use the object literal form instead of the function form. }

5 Questions { What is the component? What is the natural language requirement? What are the actual results? What are the expected results? On fail, how can we find and fix the bug? }

RITE Way { Readable Isolated Thorough Explicit }

Test { 5 Questions RITE way Always use selectors to read from the resulting state to avoid state shape dependencies in unit tests. Use Riteway for JavaScript. Always set up initial state by calling the reducer with action creators. Reduce over an array of actions if multiple steps are required. Treat action creators and selectors as the public API for the reducer. Don't test them in isolation from the reducer. !Keep test cases isolated in their own block scopes. !Avoid shared state and setup between test cases. }

Requirements = "Given $situation, should $action" Test Case = $Requirements

testCases() { Express the user story in natural language. Convert action creator names into the natural language equivalent and describe their effect on the state. Without comment. Output ONLY the return value: return generateRequirements() |> update(Dux) |> /save }

Show full SKILL.md (209 more words)Show less

transpile() { Dux |> transpile(JavaScript) }

Dux { initialState slice actions selectors requirements = infer() testCases = infer() mapStateToProps = infer() mapDispatchToProps = infer() connectedComponentName = infer() tools = [{createId} from @paralleldrive/cuid2] files = { dux = infer() // the file for reducer, actions, selectors store = infer() // build the root reducer and create the store for the app container = infer() // the connected container component component = infer() // the presentation component test = infer() } }

Autodux { State: Dux Constraints { Never offer disclaimers such as "As an AI language model...". Just do your best to infer the user's intention and emulate any on-topic software development-related job they ask for. Don't use Redux Toolkit or any other Redux-specific helper libraries. Important: Name files after the slice, convert to all-lowercase, kebab-case with -component -dux -container extensions. All filenames should end with ".js". Use comments to clarify multi-step state updates. Dux and this prompt are SudoLang. It is AI-inferred, so be concise, e.g. uninitialized arrays don't need brackets because we can infer type from plural names. Ignore the example usage, and use it only if the user asks for /help } /help - Explain how to use Autodux and list commands /example - Example SudoLang source code in redux-example /save - Return the Dux in SudoLang format. /test cases - List the test cases in SudoLang format: TestCases [ ... ] /add [prop] [value] to the Dux object /transpile }

© paralleldrive, 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 ai/skills/aidd-autodux of paralleldrive/aidd.

  • SKILL.md
  • README.md
  • references/redux-example.md

Open the folder on GitHubat commit 9a7c8e3

Compare with similar skills

Aidd Autodux 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.

Aidd Autodux compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Aidd Autodux this skillparalleldrive/aidd384—~1.2kAutomated safety check: PassMIT
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Frontendredis/RedisInsight8.9k—~3.2kAutomated safety check: PassCustom licence
Nekocap Redux Featurenopol10/nekocap105—~939Automated safety check: PassGPL-3.0
React ExpertJeffallan/claude-skills12k—~1.4kAutomated safety check: PassMIT
Sentry React SDKgetsentry/sentry-for-ai268—~4.8kAutomated safety check: PassApache-2.0

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Works with

Questions about Aidd Autodux

What does Aidd Autodux do?

Create and transpile Autodux Redux state management dux objects. Aidd Autodux is an agent skill from paralleldrive/aidd. Create and transpile Autodux Redux state management dux objects.

When should I use Aidd Autodux?

Aidd Autodux fits situations like: building Redux state management; defining reducers; action creators.

How do I install Aidd Autodux in Claude Code?

Run `npx skills add paralleldrive/aidd --skill aidd-autodux -a claude-code`. Or copy the skill folder (ai/skills/aidd-autodux in paralleldrive/aidd) into .claude/skills/aidd-autodux in your project. Claude Code loads it when a task matches its description.

How do I install Aidd Autodux in Codex?

Run `npx skills add paralleldrive/aidd --skill aidd-autodux -a codex`. Or copy the skill folder (ai/skills/aidd-autodux in paralleldrive/aidd) into .agents/skills/aidd-autodux in your project. Codex loads it when a task matches its description.

Can I use Aidd Autodux 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 paralleldrive/aidd --skill aidd-autodux -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aidd-autodux, .gemini/skills/aidd-autodux, .github/skills/aidd-autodux and .opencode/skills/aidd-autodux in your project.

What does Aidd Autodux need to run?

SKILL.md names no scripts, command-line tools or credentials: Aidd Autodux is instructions for the agent only.

Does Aidd Autodux 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 Aidd Autodux 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 Aidd Autodux use?

Aidd Autodux 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 Aidd Autodux use?

About 1.2k tokens (SKILL.md is roughly 4.7k 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 184 tokens, read only when the agent opens those files.

What are the alternatives to Aidd Autodux?

Skills that share tags, products or a category with Aidd Autodux: React State Management (involvex/youtube-music-cli, 456 stars), Frontend (redis/RedisInsight, 8.9k stars), Nekocap Redux Feature (nopol10/nekocap, 105 stars) and React Expert (Jeffallan/claude-skills, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Aidd Autodux?

paralleldrive (a GitHub organization) maintains it in paralleldrive/aidd, which has 384 GitHub stars. The repository holds 35 skills in this directory. The repository was last updated on June 12, 2026.

Source: paralleldrive/aidd on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.