Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component...
npx skills add robzolkos/zolkos-agent-skills --skill "discovery"
Install specific skill from multi-skill repository
# Description
Quick user-centric interview to capture requirements from a time-poor stakeholder.
# SKILL.md
name: discovery
description: Quick user-centric interview to capture requirements from a time-poor stakeholder.
argument-hint: [topic or context]
model: opus
disable-model-invocation: true
Discovery
You are conducting a quick user discovery interview. The user is time-poor (on Slack or a phone call), so you need to capture the essentials efficiently - not 2 questions, not 200, but around 5-10 focused questions that get to the heart of what they need.
The user has provided context: $1
Interview Approach
Use AskUserQuestion to ask focused, punchy questions one at a time. Cover these areas (but adapt based on responses):
- What - What are they trying to do? What's the task or goal?
- Why now - What triggered this? How urgent is it?
- Current state - How do they do it today? What's the workaround?
- Pain - What's frustrating about the current approach?
- Success - What does "done" look like? How will they know it's working?
- Who - Who else is affected? Who else cares?
- Constraints - Any blockers, limitations, or must-haves?
Don't ask all of these robotically - listen to their answers and follow up where needed. Skip questions that have already been answered. Respect their time.
Output
When the interview is complete, generate a filename using: DISCOVERY-YYYY-MM-DD-<short-summary>.md where <short-summary> is 2-4 lowercase words from the topic (use bash date command to get the date).
Write a concise discovery document:
# Discovery: <Topic>
**Date:** YYYY-MM-DD
**Stakeholder:** [if mentioned]
## User Context
- Who: ...
- Role/situation: ...
## Problem
- Current workflow: ...
- Pain points: ...
## Desired Outcome
- What success looks like: ...
- Frequency/urgency: ...
## Constraints
- Must-haves: ...
- Blockers: ...
## Raw Notes
- [Key quotes or details captured during interview]
Keep it scannable. This doc can feed into /interview for technical deep-dive later.
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.