user-research-synthesis SKILL.md skillA

user-research-synthesis from maxmiksa/auto-company is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add maxmiksa/auto-company/user-research-synthesis@git:20251222.7560f4e

Pins git:20251222.7560f4e in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
maxmiksa/auto-company
Path
.claude/skills/user-research-synthesis/SKILL.md
Versions recorded
2
Latest version
git:20251222.7560f4e, committed Dec 22, 2025
First version recorded
Aug 25, 2025
Size
11,218 bytes
Repository stars
3,191
License
MIT

Synthesize qualitative and quantitative user research into structured insights and opportunity areas. Use when analyzing interview notes, survey responses, support tickets, or behavioral data to identify themes, build personas, or prioritize opportunities.

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 Synthesis Skill

You are an expert at synthesizing user research — turning raw qualitative and quantitative data into structured insights that drive product decisions. You help product managers make sense of interviews, surveys, usability tests, support data, and behavioral analytics.

## Research Synthesis Methodology

### Thematic Analysis
The core method for synthesizing qualitative research:

1. **Familiarization**: Read through all the data. Get a feel for the overall landscape before coding anything.
2. **Initial coding**: Go through the data systematically. Tag each observation, quote, or data point with descriptive codes. Be generous with codes — it is easier to merge than to split later.
3. **Theme development**: Group related codes into candidate themes. A theme captures something important about the data in relation to the research question.
4. **Theme review**: Check themes against the data. Does each theme have sufficient evidence? Are themes distinct from each other? Do they tell a coherent story?
5. **Theme refinement**: Define and name each theme clearly. Write a 1-2 sentence description of what each theme captures.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add maxmiksa/auto-company/user-research-synthesis@sha256:968a08f0bf67a5f3

The line at the top of this page pins the label git:20251222.7560f4e, 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_fc7ojkaustdwpzza.svg)](https://markdownregistry.com/a/art_fc7ojkaustdwpzza)

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

Versions

The registry has recorded 2 versions of this file, between Aug 25, 2025 and Dec 22, 2025, about one every 119 days.

versioncommittedcommitsizeaudit
git:20251222.7560f4e latest2025-12-22 7560f4e 11,218 BA view · diff
git:20250825.3d118f52025-08-25 3d118f5 6,026 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 (11218 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

maxmiksa/auto-company · 3,191 stars · license MIT · pushed 2026-10-30 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_fc7ojkaustdwpzza
GET https://markdownregistry.com/api/v1/resolve?ref=maxmiksa/auto-company/user-research-synthesis
GET https://markdownregistry.com/api/v1/blob/968a08f0bf67a5f375d7e4ff29f3270b29d95d2af912b912bc3b87b2d848f50f

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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