User Research Cookiy
cookiy-ai/user-research-skill
End-to-end user research assistant — qualitative and quantitative.
User research methods, customer insight gathering, and problem validation for product discovery.
Install User Research
$ npx skills add nicepkg/ai-workflow --skill user-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install nicepkg/ai-workflow user-research --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/workflows/product-manager-workflow/.claude/skills/user-research .claude/skills/user-research && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "user-research" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/product-manager-workflow/.claude/skills/user-research into .claude/skills/user-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-research", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/nicepkg/ai-workflow/tree/main/workflows/product-manager-workflow/.claude/skills/user-researchType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add nicepkg/ai-workflow --skill user-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install nicepkg/ai-workflow user-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .agents/skills && cp -r skills-src/workflows/product-manager-workflow/.claude/skills/user-research .agents/skills/user-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "user-research" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/product-manager-workflow/.claude/skills/user-research into .agents/skills/user-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-research", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add nicepkg/ai-workflow --skill user-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install nicepkg/ai-workflow user-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/workflows/product-manager-workflow/.claude/skills/user-research .cursor/skills/user-research && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "user-research" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/product-manager-workflow/.claude/skills/user-research into .cursor/skills/user-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-research", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/nicepkg/ai-workflow.git --path workflows/product-manager-workflow/.claude/skills/user-research--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add nicepkg/ai-workflow --skill user-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install nicepkg/ai-workflow user-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/workflows/product-manager-workflow/.claude/skills/user-research .gemini/skills/user-research && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "user-research" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/product-manager-workflow/.claude/skills/user-research into .gemini/skills/user-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-research", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install nicepkg/ai-workflow user-researchInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add nicepkg/ai-workflow --skill user-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .github/skills && cp -r skills-src/workflows/product-manager-workflow/.claude/skills/user-research .github/skills/user-research && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "user-research" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/product-manager-workflow/.claude/skills/user-research into .github/skills/user-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-research", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add nicepkg/ai-workflow --skill user-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install nicepkg/ai-workflow user-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/workflows/product-manager-workflow/.claude/skills/user-research .opencode/skills/user-research && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "user-research" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/product-manager-workflow/.claude/skills/user-research into .opencode/skills/user-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-research", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
user-research- GitHub stars
- 285
- Token cost
- ~997 tokens
- SKILL.md length
- 257 words
- Files
- 6 (incl. scripts, references, assets)
- Skills in repo
- 61
- Repo updated
- First seen
- Licence
- MIT
At a glance
User research methods, customer insight gathering, and problem validation for product discovery.
- Works in 5 steps: Write each insight on sticky note → Group similar insights → Name each group (theme) → …
- Tasks that involve User research
- SKILL.md covers Research Methods, Qualitative Research, Quantitative Research and Synthesis, plus 2 more sections
- Runs Python scripts from its folder
What it does
User Research is an agent skill from nicepkg/ai-workflow. User research methods, customer insight gathering, and problem validation for product discovery.
Its SKILL.md is about 1000 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts, reference files and assets (for example `assets/config.yaml`, `assets/schema.json` and `references/GUIDE.md`).
It sits in Product & Project Management, covering User research. The repository describes itself as: 🚀 170+ pre-built skills for Claude Code, Cursor, Codex & 14+ AI tools. Stop re-teaching your AI the same things. One command → instant domain expertise. Marketing, SEO, Trading… The licence is MIT.
When your agent uses it
- Tasks that involve User research
Example prompts
- “/user-research”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Write each insight on sticky note
- Group similar insights
- Name each group (theme)
- Rank by frequency/impact
- Extract top 5-10 themes
What it can do on your machine
Read from SKILL.md and the folder at commit d167b41. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
User Research loads about 997 tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 28 tokens; SKILL.md has 257 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from nicepkg/ai-workflow at commit d167b41, republished under its MIT licence (© nicepkg). 257 words, ~997 tokens.
Download SKILL.mdSave it as
.claude/skills/user-research/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- user-research
- description
- User research methods, customer insight gathering, and problem validation for product discovery.
- version
- 2.0.0
- sasmp_version
- 1.3.0
- bonded_agent
- 02-discovery-research
- bond_type
- PRIMARY_BOND
- retry_logic.max_attempts
- 3
- retry_logic.backoff
- exponential
- logging.level
- info
- logging.hooks
- start, complete, error
User Research Skill
Conduct effective user research to understand customer needs, behaviors, and pain points. Master interview techniques and insight synthesis.
Research Methods
Method Selection Guide
| Method | When | Sample | Duration |
|---|---|---|---|
| Interviews | Deep understanding | 15-25 | 45-60 min |
| Surveys | Quantitative validation | 100+ | 5-10 min |
| Usability | UX issues | 5-8 | 30-60 min |
| Observation | Real behavior | 3-5 | 2-4 hours |
| Analytics | Scale patterns | All users | Ongoing |
Qualitative Research
Interview Structure
OPENING (5 min):
- Intro & rapport
- Permission to record
- Context setting
CONTEXT (10 min):
- Role and responsibilities
- Day-to-day workflow
- Tools used
DEEP DIVE (20 min):
- "Walk me through [process]..."
- "Tell me about last time [problem]..."
- "What frustrates you most?"
IMPACT (10 min):
- "What happens when [problem]?"
- "How much time/money does it cost?"
FUTURE (10 min):
- "What would ideal look like?"
- "What would you pay for [solution]?"
CLOSING (5 min):
- "Anything else?"
- "Can I follow up?"Interview Best Practices
- Listen 70%, talk 30%
- Ask "Why?" 5 times
- Avoid leading questions
- Use silence effectively
- Capture quotes verbatim
Quantitative Research
Survey Design
Question Types:
- Rating scale (1-5, 1-10)
- Multiple choice
- Open-ended (limit 1-2)
- Ranking
NPS Question: "How likely are you to recommend [product] to a friend? (0-10)"
Sample Size Calculator
For 95% confidence, 5% margin:
- Population 100 → Sample 80
- Population 500 → Sample 217
- Population 1000 → Sample 278
- Population 10000 → Sample 370Synthesis
Affinity Mapping
- Write each insight on sticky note
- Group similar insights
- Name each group (theme)
- Rank by frequency/impact
- Extract top 5-10 themes
Persona Template
NAME: [Descriptive name]
ROLE: [Job title, company type]
QUOTE: "[Real quote from research]"
GOALS:
- [Goal 1]
- [Goal 2]
FRUSTRATIONS:
- [Pain 1]
- [Pain 2]
BEHAVIORS:
- [How they work]
- [Tools they use]
NEEDS:
- [Need 1]
- [Need 2]Journey Map
| Stage | Actions | Emotions | Pain Points | Opportunities |
|---|---|---|---|---|
| Aware | Search | Curious | Hard to find | SEO, content |
| Consider | Compare | Confused | Too many options | Comparison |
| Purchase | Buy | Anxious | Complex checkout | Simplify |
| Use | Onboard | Overwhelmed | Steep learning | Better UX |
Troubleshooting
Yaygın Hatalar & Çözümler
| Hata | Olası Sebep | Çözüm |
|---|---|---|
| Low response | Wrong incentive | $50-100 gift card |
| Surface insights | Leading questions | "Why?" 5x |
| Conflicting data | Mixed segments | Segment analysis |
| No show | Scheduling issues | Calendar hold, reminder |
Debug Checklist
[ ] Research plan documented mi?
[ ] Sample size sufficient mi?
[ ] Questions non-leading mi?
[ ] Recording consent alındı mı?
[ ] Synthesis done within 24h mi?
[ ] Insights actionable mi?Recovery Procedures
- Low Participation → Increase incentive, new channels
- Conflicting Data → Segment by user type
- Shallow Insights → Follow-up interviews
Learning Outcomes
- Plan effective research studies
- Conduct insightful interviews
- Design valid surveys
- Synthesize research data
- Present actionable insights
© nicepkg, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 5 other files (scripts, references, assets) in workflows/product-manager-workflow/.claude/skills/user-research of nicepkg/ai-workflow.
- SKILL.md
- assets/config.yaml
- assets/schema.json
- references/GUIDE.md
- references/PATTERNS.md
- scripts/validate.py
Open the folder on GitHubat commit d167b41
Compare with similar skills
User Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| User Research this skillnicepkg/ai-workflow | 285 | — | ~997 | Automated safety check: Pass | MIT | |
| User Research Cookiycookiy-ai/user-research-skill | 1.6k | — | ~954 | Automated safety check: Pass | MIT | |
| Fable DomainSahir619/fable-method | 2.3k | — | ~2.6k | Automated safety check: Pass | MIT | |
| Produck Feedback To Buildtryproduck/produck-skills | 511 | — | ~1k | Automated safety check: Pass | Apache-2.0 | |
| MITRE Problem Framing Canvasdeanpeters/Product-Manager-Skills | 7.2k | 2 repos | ~4.5k | Automated safety check: Pass | Custom licence | |
| Customer InterviewsRefoundAI/lenny-skills | 1.4k | — | ~1.7k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about User Research
What does User Research do?
User research methods, customer insight gathering, and problem validation for product discovery. User Research is an agent skill from nicepkg/ai-workflow. User research methods, customer insight gathering, and problem validation for product discovery.
When should I use User Research?
User Research fits situations like: tasks that involve User research.
How do I install User Research in Claude Code?
Run `npx skills add nicepkg/ai-workflow --skill user-research -a claude-code`. Or copy the skill folder (workflows/product-manager-workflow/.claude/skills/user-research in nicepkg/ai-workflow) into .claude/skills/user-research in your project. Claude Code loads it when a task matches its description.
How do I install User Research in Codex?
Run `npx skills add nicepkg/ai-workflow --skill user-research -a codex`. Or copy the skill folder (workflows/product-manager-workflow/.claude/skills/user-research in nicepkg/ai-workflow) into .agents/skills/user-research in your project. Codex loads it when a task matches its description.
Can I use User Research in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add nicepkg/ai-workflow --skill user-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/user-research, .gemini/skills/user-research, .github/skills/user-research and .opencode/skills/user-research in your project.
What does User Research need to run?
Going by SKILL.md and its folder, User Research needs Python for the scripts in its folder. Our summary lists: Python 3.
Does User Research access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is User Research safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does User Research use?
User Research is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does User Research use?
About 997 tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 857 tokens, read only when the agent opens those files.
What are the alternatives to User Research?
Skills that share tags, products or a category with User Research: User Research Cookiy (cookiy-ai/user-research-skill, 1.6k stars), Fable Domain (Sahir619/fable-method, 2.3k stars), Produck Feedback To Build (tryproduck/produck-skills, 511 stars) and MITRE Problem Framing Canvas (deanpeters/Product-Manager-Skills, 7.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains User Research?
nicepkg (a GitHub organization) maintains it in nicepkg/ai-workflow, which has 285 GitHub stars. The repository holds 61 skills in this directory. The repository was last updated on January 20, 2026.
Source: nicepkg/ai-workflow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.