User Research Cookiy
cookiy-ai/user-research-skill
End-to-end user research assistant — qualitative and quantitative.
Help users conduct high-impact customer interviews that move beyond surface-level feature requests to identify root emotional frustrations and specific causal triggers.
$ npx skills add RefoundAI/lenny-skills --skill customer-interviews -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install RefoundAI/lenny-skills customer-interviews --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/RefoundAI/lenny-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/customer-interviews .claude/skills/customer-interviews && 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 "customer-interviews" agent skill from https://github.com/RefoundAI/lenny-skills/tree/main/skills/customer-interviews into .claude/skills/customer-interviews/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customer-interviews", 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/RefoundAI/lenny-skills/tree/main/skills/customer-interviewsType 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 RefoundAI/lenny-skills --skill customer-interviews -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install RefoundAI/lenny-skills customer-interviews --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RefoundAI/lenny-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/customer-interviews .agents/skills/customer-interviews && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "customer-interviews" agent skill from https://github.com/RefoundAI/lenny-skills/tree/main/skills/customer-interviews into .agents/skills/customer-interviews/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customer-interviews", 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 RefoundAI/lenny-skills --skill customer-interviews -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install RefoundAI/lenny-skills customer-interviews --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RefoundAI/lenny-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/customer-interviews .cursor/skills/customer-interviews && 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 "customer-interviews" agent skill from https://github.com/RefoundAI/lenny-skills/tree/main/skills/customer-interviews into .cursor/skills/customer-interviews/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customer-interviews", 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/RefoundAI/lenny-skills.git --path skills/customer-interviews--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 RefoundAI/lenny-skills --skill customer-interviews -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install RefoundAI/lenny-skills customer-interviews --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RefoundAI/lenny-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/customer-interviews .gemini/skills/customer-interviews && 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 "customer-interviews" agent skill from https://github.com/RefoundAI/lenny-skills/tree/main/skills/customer-interviews into .gemini/skills/customer-interviews/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customer-interviews", 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 RefoundAI/lenny-skills customer-interviewsInstalls 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 RefoundAI/lenny-skills --skill customer-interviews -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/RefoundAI/lenny-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/customer-interviews .github/skills/customer-interviews && 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 "customer-interviews" agent skill from https://github.com/RefoundAI/lenny-skills/tree/main/skills/customer-interviews into .github/skills/customer-interviews/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customer-interviews", 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 RefoundAI/lenny-skills --skill customer-interviews -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install RefoundAI/lenny-skills customer-interviews --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RefoundAI/lenny-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/customer-interviews .opencode/skills/customer-interviews && 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 "customer-interviews" agent skill from https://github.com/RefoundAI/lenny-skills/tree/main/skills/customer-interviews into .opencode/skills/customer-interviews/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customer-interviews", 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.
customer-interviewsHelp users conduct high-impact customer interviews that move beyond surface-level feature requests to identify root emotional frustrations and specific causal triggers.
Customer Interviews is an agent skill from RefoundAI/lenny-skills. Help users conduct high-impact customer interviews that move beyond surface-level feature requests to identify root emotional frustrations and specific causal triggers.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/artifacts.md` and `references/guest-insights.md`).
It sits in Product & Project Management, covering User research. The repository describes itself as: 86 product management skills from Lenny's Podcast for Claude Code and AI agents. Hiring, user research, strategy, shipping, and more. The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 13598cc. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Customer Interviews loads about 1.7k tokens when it runs, and up to ~11k if it reads all its reference files. Until then it costs about 47 tokens; SKILL.md has 970 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.
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); files beside SKILL.md are not scanned.
The full file from RefoundAI/lenny-skills at commit 13598cc, republished under its MIT licence (© RefoundAI). 970 words, ~1,695 tokens.
.claude/skills/customer-interviews/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Uncover deep user pain and behavioral triggers to build products people actually need.
Help the user with mastering customer interviews using insights from 11 guests and posts across Lenny's Podcast and Newsletter.
Bob Moesta: "And so the real heart of the method of Jobs to Be Done is understanding the causation of what pushes people to say, 'Today's the day I got to do something different.'"
Interviews should uncover the specific events and context that led to a change in behavior. Understanding the struggling moment makes seemingly irrational user choices appear rational.
Jag Duggal: "You make sure that you focus on customer discovery before you start building. You make sure that that discovery is focused not simply on asking the customer, but on innovating on their behalf."
Effective research goes beyond listening to explicit requests by observing users in their natural environment. This reveals friction points that users may not be able to describe.
Shaun Clowes: "Avoid availability or confirmation bias. Most of the time people go talk to the people they always talk to and they learn nothing particularly new. They don't synthesize the results that they got from that conversation. They don't seek out the counterfactual, they don't seek out the proof that they're wrong."
To avoid confirmation bias, you must intentionally seek out data points that disprove your current assumptions. Learning is maximized when you find counterfactual perspectives.
From "How to develop product sense": "Don’t just read reports from researchers on your team; instead attend user research sessions to get firsthand exposure to user experiences and reactions. What’s important is to pay attention to micro details and ask yourself why people react to your product the way they do."
Directly observing user behavior provides a firsthand understanding of emotional and functional needs. Research reports often overlook the nuance found in live reactions.
From "Startup to exit: Lessons from a first-time founder": "However, we realized our first several “interviews” were actually sales pitches (e.g. “here’s this cool new thing, what do you think?”). Far too biased to get any real signal."
Running discovery calls as sales pitches prevents honest signals. Use an unbiased script that avoids mentioning your specific solution to see if the customer brings up the problem organically.
From "What to do if your product isn’t taking off": "When talking to people, look for two things: pain and pull. Pain tells you there’s an opportunity to solve a problem. Pull tells you that you’re actually solving the problem."
Ignore polite encouragement and look for signs of intense pain. Real pull is evidenced by people paying money or continuing to use a bad prototype despite its flaws.
See references/artifacts.md for the full list with details.
For all 14 sourced insights from 11 guests, see references/guest-insights.md
© RefoundAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references) in skills/customer-interviews of RefoundAI/lenny-skills.
Open the folder on GitHubat commit 13598cc
Customer Interviews 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 |
|---|---|---|---|---|---|---|
| Customer Interviews this skillRefoundAI/lenny-skills | 1.4k | — | ~1.7k | 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 | 510 | — | ~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 | |
| Product Discovery Brief Builderopen-mercato/skills | 227 | — | ~3k | Automated safety check: Pass | MIT |
cookiy-ai/user-research-skill
End-to-end user research assistant — qualitative and quantitative.
Sahir619/fable-method
Discuss a domain with the user, research it from real sources, then generate a trusted skill bundle for it - a step-by-step workflow with a flowchart, a domain adapter, a trap fixture, and a smoke…
tryproduck/produck-skills
Pulls full in-context user feedback tickets through the Produck MCP server and turns them into an aligned product change instead of a guess.
deanpeters/Product-Manager-Skills
Guides a three-phase canvas, looking inward, looking outward, then reframing, to produce an equity-aware problem statement.
open-mercato/skills
Guides a product discovery conversation and writes product-brief.md with the problem, evidence, scope, decisions and the next open question, for existing, client or own ideas.
egregore-labs/egregore
Analyze a user interview from Granola, pasted text, or a file into an evidence-backed briefing, journey insights, product findings, patterns, and actions.
RefoundAI/lenny-skills
Help users master their personal output by shifting from reactive scheduling to intentional energy management, internal trigger mastery, and proactive boundary setting.
RefoundAI/lenny-skills
Help users reach their first moment of core value by optimizing the first-run experience, removing friction, and aligning product design with psychological triggers.
RefoundAI/lenny-skills
Help users identify unique distribution advantages and master the lifecycle of acquisition channels to build a sustainable engine for growth and retention.
RefoundAI/lenny-skills
Help users build functional product prototypes from natural language or visual mocks using AI coding tools.
RefoundAI/lenny-skills
Help users build robust infrastructure for measuring, monitoring, and iterating on AI product performance using human, code-based, and LLM-as-a-judge methodologies.
RefoundAI/lenny-skills
Help users interact with probabilistic models by designing interfaces that manage fluidity, intent, and agency while maintaining trust and control.
Categories
Help users conduct high-impact customer interviews that move beyond surface-level feature requests to identify root emotional frustrations and specific causal triggers. Customer Interviews is an agent skill from RefoundAI/lenny-skills. Help users conduct high-impact customer interviews that move beyond surface-level feature requests to identify root emotional frustrations and specific causal triggers.
Customer Interviews fits situations like: tasks that involve User research.
Run `npx skills add RefoundAI/lenny-skills --skill customer-interviews -a claude-code`. Or copy the skill folder (skills/customer-interviews in RefoundAI/lenny-skills) into .claude/skills/customer-interviews in your project. Claude Code loads it when a task matches its description.
Run `npx skills add RefoundAI/lenny-skills --skill customer-interviews -a codex`. Or copy the skill folder (skills/customer-interviews in RefoundAI/lenny-skills) into .agents/skills/customer-interviews in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add RefoundAI/lenny-skills --skill customer-interviews -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/customer-interviews, .gemini/skills/customer-interviews, .github/skills/customer-interviews and .opencode/skills/customer-interviews in your project.
SKILL.md names no scripts, command-line tools or credentials: Customer Interviews is instructions for the agent only.
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.
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. Review the folder before installing.
Customer Interviews is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.8k 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 9.7k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Customer Interviews: 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, 510 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.
RefoundAI (a GitHub organization) maintains it in RefoundAI/lenny-skills, which has 1,377 GitHub stars. The repository holds 76 skills in this directory. The repository was last updated on July 16, 2026.
Source: RefoundAI/lenny-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.