interview-to-spec

Interviews users to complete image and video generation briefs before writing prompts.

5|2|Updated Jul 12, 2026
One-click install
npx skills add https://github.com/LongLeo287/seosona-flow --skill interview-to-spec-longleo287
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: interview-to-spec
Source: https://github.com/LongLeo287/seosona-flow/tree/main/.claude/skills/interview-to-spec
Command: npx skills add https://github.com/LongLeo287/seosona-flow --skill interview-to-spec-longleo287

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Vague briefs like "create an image of a beautiful girl" lack most of the information needed for quality AI image or video generation, producing generic results. This Skill replaces guessing with a disciplined interview process that gathers missing details before any prompt is written. ## Core Features & Use Cases - Structured Interview Checklist: Asks 2-4 targeted questions per round covering purpose, subject, setting, style, color palette, aspect ratio, text overlays, and constraints, with proposed defaults the user can quickly confirm. - Spec-First Output: Produces a complete specification table (purpose, subject, scene, style, colors, ratio, text, exclusions) before generating any prompt. - Anti-Slop Prompt Generation: Writes final prompts with concrete nouns, materials, and technical parameters, inserting {placeholder} variables for batch variants and filtering out clichéd filler phrases. - Use Case: Before running a batch image workflow in SEOSONA Flow, interview the user to lock down a 9:16 reel format, one anchor style, and brand constraints, then generate consistent prompts for every variant. ## Quick Start Ask the assistant to interview you about your image or video idea until the brief is complete, then have it write the spec and final generation prompt.

Frequently Asked Questions about interview-to-spec

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I turn a vague image idea into a good AI generation prompt?▼

Run a structured interview covering purpose, subject, setting, style, colors, aspect ratio, and constraints before writing anything. Once every checklist item has a value, write a spec table and then a concrete prompt with specific nouns, materials, and lighting details.

What information should an image generation brief include?▼

A complete brief covers the target channel and purpose, specific subject details, setting and lighting, one anchor visual style, color palette and mood, aspect ratio and variant count, whether text appears on the image, and explicit things to avoid.

How many interview rounds are needed before writing a prompt?▼

One to two rounds are enough for most briefs. Ask 2-4 questions per round with proposed defaults the user can confirm quickly, and stop immediately when the user says the brief is complete.

Should prompts be written in English or Vietnamese?▼

Interview the user in Vietnamese, but generate prompts in English by default since image models perform better with English. Switch languages only if the user explicitly requests it.

When should I not use an interview-based prompt workflow?▼

Skip the interview when the brief already contains all checklist values or the user provides a complete spec upfront. The process is designed for underspecified requests, not for re-confirming information that is already known.