Agent skill

Discovery Question Form

by nexu-io in nexu-io/open-design

Structured clarification form for unresolved material requirements.

Apache-2.0Auto-check passedAgent Workflows

Install Discovery Question Form

skills CLI
$ npx skills add nexu-io/open-design --skill discovery-question-form -a claude-code

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

GitHub CLI
$ gh skill install nexu-io/open-design discovery-question-form --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/nexu-io/open-design.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/_official/atoms/discovery-question-form .claude/skills/discovery-question-form && 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
discovery-question-form
GitHub stars
100k
Token cost
~1.5k tokens
SKILL.md length
651 words
Files
2
Skills in repo
245
Repo updated
First seen
Licence
Apache-2.0

At a glance

Structured clarification form for unresolved material requirements.

  • Tasks that involve Requirements gathering
  • SKILL.md covers Activation boundary, Emission shape, Question object shape and Convergence
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Discovery Question Form is an agent skill from nexu-io/open-design. Structured clarification form for unresolved material requirements.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `open-design.json`).

It sits in Agent Workflows, covering Requirements gathering. The repository describes itself as: 🎨 Best DeepSeek Harness Design Plugin. The open-source Claude Design alternative. 🖥️ Local-first desktop app. 🖼️ Your coding agent becomes the design engine: prototypes… The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Requirements gathering

Example prompts

  • “/discovery-question-form”

What it can do on your machine

Read from SKILL.md and the folder at commit 17e2559. 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 (its code samples are html).

    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

Discovery Question Form loads about 1.5k tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 651 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~23
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

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 nexu-io/open-design at commit 17e2559, republished under its Apache-2.0 licence (© nexu-io). 651 words, ~1,503 tokens.

Download SKILL.mdSave it as .claude/skills/discovery-question-form/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
discovery-question-form
description
Structured clarification form for unresolved material requirements.
od.scenario
general
od.mode
discovery

Discovery question form

This atom defines the <question-form> protocol. It does not decide whether clarification is required. Follow the active skill and core prompt's requirements-clarification policy. When they identify unresolved information that would materially change the design direction, content structure, or delivery format, surface the smallest possible set of questions that unblocks the workflow.

The questions are rendered as a <question-form> artifact inline in the originating assistant message. This is assistant text parsed by the host, not a plugin GenUI surface or a native tool call. Submitted answers return as the next user message, beginning with [form answers — <form-id>].

Activation boundary

  • A first turn or new project does not by itself require a form.
  • A discovery pipeline stage only makes this protocol available; declaring or entering the stage does not trigger a form.
  • Missing metadata is not automatically a question. First use the request, conversation, plugin inputs, memory, active skill, and design system.
  • If enough information is available to proceed safely, do not emit a form.
  • If a material blocker remains, ask only for that unresolved information.

Emission shape

Emit the form as a question-form block whose body is a JSON object with a top-level questions array. Do not emit a bare question object by itself; the renderer only recognizes the wrapped form contract.

The example below shows field shapes, not a fixed questionnaire. Include only unresolved questions and derive their recommendations from the actual brief; these example values are not fallback answers. A reference file remains unanswered until supplied.

html
<question-form id="discovery" title="Quick brief — 30 seconds">
{
  "description": "I'll lock these in before building. Skip what doesn't apply — I'll fill defaults.",
  "questions": [
    {
      "id": "audience",
      "label": "Who's the primary audience?",
      "type": "checkbox",
      "default": ["Customer"],
      "options": ["VC", "Customer", "Internal team"],
      "maxSelections": 2,
      "required": true
    },
    {
      "id": "format",
      "label": "Which format should I use?",
      "type": "radio",
      "default": "landscape",
      "options": [
        { "label": "Portrait", "value": "portrait" },
        { "label": "Landscape", "value": "landscape" }
      ]
    },
    {
      "id": "language",
      "label": "Which language should the promo use?",
      "type": "select",
      "default": "en",
      "options": [
        { "label": "Chinese", "value": "zh-CN" },
        { "label": "English", "value": "en" },
        { "label": "French", "value": "fr" },
        { "label": "German", "value": "de" },
        { "label": "Japanese", "value": "ja" },
        { "label": "Spanish", "value": "es" }
      ]
    },
    {
      "id": "reference",
      "label": "Add a reference file if available",
      "type": "file",
      "required": false
    }
  ]
}
</question-form>

Question object shape

Each entry in the top-level questions array uses:

  • id: stable answer key, for example audience.
  • label: user-facing question copy.
  • type: one of radio, checkbox, select, text, textarea, number, range, date, time, datetime-local, color, url, email, tel, file, or switch.
  • default: the recommended answer inferred from the brief, project metadata, plugin inputs, and known context. Use an option's stable value for radio or select, an array of option values for checkbox, and concrete suggested text for free-text fields. String options use the exact option string as their value. Respect maxSelections; never substitute localized labels for stable values. The host also accepts the defaultValue alias; emit only one of these fields per question.
  • Prefill each non-visual question suitable for a recommendation; omit default only when no reasonable recommendation exists, such as a file upload. Do not invent a missing fact or select the first option merely because it is first. A recommendation written only in description does not preselect an answer: encode it in the default field. Place that field before options so it arrives before a long option list during streaming.
  • options: required for choice controls; strings are allowed, or objects with localized label and stable value.
  • At most 6-7 options per question; merge near-duplicates instead of listing more.
  • Choose radio vs select by option count, not importance: radio for a short list, select once it runs long (languages, timezones, voices). checkbox is always a plain list.
  • select options may carry group (first group expands, the rest collapse) and trailingLabel (a short end-of-row code such as ZH-CN). Both optional.
  • Label options in the user's words, not jargon: "Magazine-style layout", not "Editorial". Reword only label; never change a stable value.
  • Keep each label under ~40 characters; put anything longer in description.
  • allowCustom: leave unset or set to true for finite-choice controls so users can type their own answer instead of accepting only generated options. Set allowCustom: false only when the downstream system needs an exact machine id.
  • customLabel / customPlaceholder: optional localized copy for that custom answer input.
  • maxSelections: include this for checkbox controls with a limited selection count.
  • required: set to true only when the answer is needed before work can continue.
Show full SKILL.md (38 more words)Show less

Convergence

The discovery atom completes when the next user message contains an answer for every required question. Treat those submitted answers as conversation context and do not ask the same questions again unless later input invalidates an answer.

© nexu-io, Apache-2.0. 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 1 other file in plugins/_official/atoms/discovery-question-form of nexu-io/open-design.

  • SKILL.md
  • open-design.json

Open the folder on GitHubat commit 17e2559

Compare with similar skills

Discovery Question Form 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.

Discovery Question Form compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Discovery Question Form this skillnexu-io/open-design100k—~1.5kAutomated safety check: PassApache-2.0
Using Superpowersfarm-fe/farm5.6k35 repos~1.4kAutomated safety check: PassMIT
Interview Meaddyosmani/agent-skills104k6 repos~3.8kAutomated safety check: PassMIT
Brainstormingobra/superpowers297k1 repos~2.5kAutomated safety check: PassMIT
Grillingpietheinstrengholt/rssmonster56431 repos~510Automated safety check: PassMIT
Agentic Workflow Designerdotnet/Open-XML-SDK4.6k2 repos~3.5kAutomated safety check: PassMIT

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Categories

Questions about Discovery Question Form

What does Discovery Question Form do?

Structured clarification form for unresolved material requirements. Discovery Question Form is an agent skill from nexu-io/open-design. Structured clarification form for unresolved material requirements.

When should I use Discovery Question Form?

Discovery Question Form fits situations like: tasks that involve Requirements gathering.

How do I install Discovery Question Form in Claude Code?

Run `npx skills add nexu-io/open-design --skill discovery-question-form -a claude-code`. Or copy the skill folder (plugins/_official/atoms/discovery-question-form in nexu-io/open-design) into .claude/skills/discovery-question-form in your project. Claude Code loads it when a task matches its description.

How do I install Discovery Question Form in Codex?

Run `npx skills add nexu-io/open-design --skill discovery-question-form -a codex`. Or copy the skill folder (plugins/_official/atoms/discovery-question-form in nexu-io/open-design) into .agents/skills/discovery-question-form in your project. Codex loads it when a task matches its description.

Can I use Discovery Question Form 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 nexu-io/open-design --skill discovery-question-form -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/discovery-question-form, .gemini/skills/discovery-question-form, .github/skills/discovery-question-form and .opencode/skills/discovery-question-form in your project.

What does Discovery Question Form need to run?

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

Does Discovery Question Form 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 Discovery Question Form 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 Discovery Question Form use?

Discovery Question Form is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Discovery Question Form use?

About 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Discovery Question Form?

Skills that share tags, products or a category with Discovery Question Form: Using Superpowers (farm-fe/farm, 5.6k stars), Interview Me (addyosmani/agent-skills, 104k stars), Brainstorming (obra/superpowers, 297k stars) and Grilling (pietheinstrengholt/rssmonster, 564 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Discovery Question Form?

nexu-io (a GitHub organization) maintains it in nexu-io/open-design, which has 100,280 GitHub stars. The repository holds 245 skills in this directory. The repository was last updated on October 10, 2026.

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