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Requirement Interviewer

Community
ceilf6
requirement-interviewer

Gather missing product, UX, technical, and delivery constraints before planning or coding. Use when a request is underspecified, when several implementations are plausible, when frontend work needs explicit acceptance criteria, or when the agent must ask structured questions before acting.

Overview

Publisherceilf6
RepositoryFrontAgent
Skill namerequirement-interviewer
Stars
120
Forks
19
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ceilf6 on GitHub. Read the source before you install it.

Installation

Install the Requirement Interviewer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ceilf6/FrontAgent/tree/develop/skills/requirement-interviewer
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ceilf6/FrontAgent.git /tmp/FrontAgent
mkdir -p .claude/skills
cp -r /tmp/FrontAgent/skills/requirement-interviewer .claude/skills/requirement-interviewer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Requirement Interviewer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Requirement Interviewer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Requirement Interviewer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Requirement Interviewer

Collect missing constraints through phased questioning. Refuse to plan, code, or propose irreversible implementation details until the required answers are complete.

Workflow

  1. Read references/question-flow.md.
  2. Ask only the next unanswered question cluster, not the whole interview at once.
  3. Read references/answer-completeness.md to decide whether the reply is sufficient or needs follow-up.
  4. Read references/gating-rules.md before moving from clarification into planning.
  5. After each phase, summarize confirmed facts, explicit assumptions, and open questions.
  6. Only when all mandatory gates pass, hand off a concise, execution-ready brief or plan.

Interview Contract

  • Ask 1-3 short questions at a time.
  • Prefer constrained choices when possible.
  • Keep questions ordered: objective first, implementation later.
  • If the user says "you decide", record the default explicitly as an assumption.
  • Separate confirmed requirements from inferred assumptions.

Guardrails

  • Do not generate code, file edits, or architecture proposals before gates pass.
  • Do not ask duplicate questions.
  • Do not jump into low-level implementation details before product intent is clear.
  • Do not silently fill critical gaps with guesses.
  • Stop and ask for explicit approval when the decision changes scope, cost, or stack direction.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Requirement Interviewer AI skill do?

Gather missing product, UX, technical, and delivery constraints before planning or coding. Use when a request is underspecified, when several implementations are plausible, when frontend work needs explicit acceptance criteria, or when the agent must ask structured questions before acting.

Why use Requirement Interviewer on TypingMind?

Because you install it once and use it with any model. Requirement Interviewer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Requirement Interviewer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ceilf6/FrontAgent/tree/develop/skills/requirement-interviewer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Requirement Interviewer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Requirement Interviewer?

As many as you like. As long as a model supports skills, you can use Requirement Interviewer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Requirement Interviewer AI skill free?

Yes. It is published on GitHub by ceilf6 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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