user-research SKILL.md skillA

user-research from ninjasln-labs/agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add ninjasln-labs/agent-skills/user-research@v1.2.0

Pins v1.2.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
ninjasln-labs/agent-skills
Path
user-research/SKILL.md
Versions recorded
5
Latest version
v1.2.0, committed Oct 2, 2026
First version recorded
Aug 3, 2026
Size
4,516 bytes
Repository stars
4
License
none declared

Plan, conduct, and synthesize user research. Trigger with "user research plan", "interview guide", "usability test", "survey design", "research questions", or when the user needs help with any aspect of understanding their users through research. NOT for usability of code you cannot observe, or research with no user access.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# User Research

## 中文速览(Quick Guide)

- **做什么**:帮助规划、执行并综合用户研究,产出研究计划、访谈提纲、综合报告与高光片段。
- **何时用**:需要用研究理解用户时——访谈提纲、可用性测试、问卷设计、研究问题等;无法接触真实用户或对不可观察的代码可用性不适用。
- **核心步骤**:①按研究方法表选方法、样本量与周期;②用「热身—背景—深挖—反应—收尾」结构写访谈提纲;③用亲和图、影响力/投入矩阵、旅程图、JTBD 做综合;④交付计划/提纲/综合报告/高光片段。
- **国内可达性**:本技能为方法与模板层面的本地指导,不调用境外在线服务;当拿不到真实用户时改用工单挖掘、公开社区讨论、评论等合法替代来源。

Help plan, execute, and synthesize user research studies.

## Research Methods

| Method | Best For | Sample Size | Time |
|--------|----------|-------------|------|
| User interviews | Deep understanding of needs and motivations | 5-8 | 2-4 weeks |
| Usability testing | Evaluating a specific design or flow | 5-8 | 1-2 weeks |
| Surveys | Quantifying attitudes and preferences | 100+ | 1-2 weeks |
| Card sorting | Information architecture decisions | 15-30 | 1 week |
| Diary studies | Understanding behavior over time | 10-15 | 2-8 weeks |
| A/B testing | Comparing specific design choices | Statistical significance | 1-4 weeks |

## Interview Guide Structure

1. **Warm-up** (5 min): Build rapport, explain the session
2. **Context** (10 min): Understand their current workflow
3. **Deep dive** (20 min): Explore the specific topic
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add ninjasln-labs/agent-skills/user-research@sha256:d91fa62750d123c6

The line at the top of this page pins the label v1.2.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_g5krkp76ltm7bezo.svg)](https://markdownregistry.com/a/art_g5krkp76ltm7bezo)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Aug 3, 2026 and Oct 2, 2026, about one every 15 days.

versioncommittedcommitsizeaudit
v1.2.0 latest2026-10-02 6a4995b 4,516 BA view · diff
v1.1.02026-09-29 0febb7a 3,676 BA view · diff
v1.0.12026-09-22 75c75c0 1,822 BA view · diff
v1.0.02026-09-07 571fb57 1,832 BA view · diff
git:20260803.88cd1672026-08-03 88cd167 1,770 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (4516 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

ninjasln-labs/agent-skills · 4 stars · license none declared · pushed 2026-10-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_g5krkp76ltm7bezo
GET https://markdownregistry.com/api/v1/resolve?ref=ninjasln-labs/agent-skills/user-research
GET https://markdownregistry.com/api/v1/blob/d91fa62750d123c6ef426b8be2a3b6a5464607cb28bede9f4b3dcc9195945fce

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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