User Research Cookiy
cookiy-ai/user-research-skill
End-to-end user research assistant — qualitative and quantitative.
Guides product managers through planning customer discovery interviews, from research goal and segment to method, question framework and success criteria.
Install Discovery Interview Prep
$ npx skills add deanpeters/Product-Manager-Skills --skill discovery-interview-prep -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install deanpeters/Product-Manager-Skills discovery-interview-prep --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/deanpeters/Product-Manager-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/discovery-interview-prep .claude/skills/discovery-interview-prep && 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 "discovery-interview-prep" agent skill from https://github.com/deanpeters/Product-Manager-Skills/tree/main/skills/discovery-interview-prep into .claude/skills/discovery-interview-prep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "discovery-interview-prep", 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/deanpeters/Product-Manager-Skills/tree/main/skills/discovery-interview-prepType 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 deanpeters/Product-Manager-Skills --skill discovery-interview-prep -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install deanpeters/Product-Manager-Skills discovery-interview-prep --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/deanpeters/Product-Manager-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/discovery-interview-prep .agents/skills/discovery-interview-prep && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "discovery-interview-prep" agent skill from https://github.com/deanpeters/Product-Manager-Skills/tree/main/skills/discovery-interview-prep into .agents/skills/discovery-interview-prep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "discovery-interview-prep", 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 deanpeters/Product-Manager-Skills --skill discovery-interview-prep -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install deanpeters/Product-Manager-Skills discovery-interview-prep --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/deanpeters/Product-Manager-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/discovery-interview-prep .cursor/skills/discovery-interview-prep && 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 "discovery-interview-prep" agent skill from https://github.com/deanpeters/Product-Manager-Skills/tree/main/skills/discovery-interview-prep into .cursor/skills/discovery-interview-prep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "discovery-interview-prep", 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/deanpeters/Product-Manager-Skills.git --path skills/discovery-interview-prep--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 deanpeters/Product-Manager-Skills --skill discovery-interview-prep -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install deanpeters/Product-Manager-Skills discovery-interview-prep --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/deanpeters/Product-Manager-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/discovery-interview-prep .gemini/skills/discovery-interview-prep && 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 "discovery-interview-prep" agent skill from https://github.com/deanpeters/Product-Manager-Skills/tree/main/skills/discovery-interview-prep into .gemini/skills/discovery-interview-prep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "discovery-interview-prep", 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 deanpeters/Product-Manager-Skills discovery-interview-prepInstalls 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 deanpeters/Product-Manager-Skills --skill discovery-interview-prep -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/deanpeters/Product-Manager-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/discovery-interview-prep .github/skills/discovery-interview-prep && 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 "discovery-interview-prep" agent skill from https://github.com/deanpeters/Product-Manager-Skills/tree/main/skills/discovery-interview-prep into .github/skills/discovery-interview-prep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "discovery-interview-prep", 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 deanpeters/Product-Manager-Skills --skill discovery-interview-prep -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install deanpeters/Product-Manager-Skills discovery-interview-prep --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/deanpeters/Product-Manager-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/discovery-interview-prep .opencode/skills/discovery-interview-prep && 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 "discovery-interview-prep" agent skill from https://github.com/deanpeters/Product-Manager-Skills/tree/main/skills/discovery-interview-prep into .opencode/skills/discovery-interview-prep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "discovery-interview-prep", 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
discovery-interview-prep- GitHub stars
- 7.2k
- Used in
- 1 other repo
- Token cost
- ~4.7k tokens
- SKILL.md length
- 1,665 words
- Files
- 1
- Skills in repo
- 75
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Guides product managers through planning customer discovery interviews, from research goal and segment to method, question framework and success criteria.
- Works in 5 steps: Gathers product/problem context… → Defines research goals (what you're… → Identifies target customer segment and… → …
- Planning interviews to validate a customer problem
- SKILL.md covers Purpose, Input, Key Concepts and Application, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
The skill is an interactive prep process, not a script generator. It asks adaptive questions about your research goal, the customer segment, access constraints such as how many interviews you can get and by when, and any hypotheses you carry in. Anything you supply with the invocation counts as already answered, and if you arrive with nothing it opens by asking for the primary goal and narrows from there.
The flow gathers product and problem context, defines what you want to learn, identifies the target segment, recommends a method such as Jobs-to-be-Done, problem validation or switch interviews, and produces an interview framework with questions, biases to avoid and success metrics. It calls out leading questions, confirmation bias and solution-first thinking, and it states that discovery interviews are not user-testing scripts, sales demos or broad surveys, aiming instead at deep qualitative conversations with roughly 5 to 10 people.
When your agent uses it
- Planning interviews to validate a customer problem
- Preparing churn research when you have limited interview access
- Testing an early product idea with a small set of customers
Example prompts
- “Help me plan five interviews over two weeks to learn why enterprise customers leave after half a year.”
- “I'm exploring a scheduling tool for clinics, so plan discovery interviews to validate the problem.”
- “Which interview method fits a new product idea when I can only reach a few customers?”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Gathers product/problem context (marketing materials, assumptions)
- Defines research goals (what you're trying to learn)
- Identifies target customer segment and access constraints
- Recommends interview methodology (Jobs-to-be-Done, problem validation, switch interviews, etc.)
- Generates interview framework with questions, biases to avoid, and success metrics
What it can do on your machine
Read from SKILL.md and the folder at commit 1b5a524. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
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
Discovery Interview Prep loads about 4.7k tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 1,665 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); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,665 words (~4,749 tokens).
“Guide product managers through preparing for customer discovery interviews by asking adaptive questions about research goals, customer segments, constraints, and methodologies. Use this to design effective interview plans, craft targeted questions, avoid common biases, and maximize learning from limited customer…”
- name
- discovery-interview-prep
- argument-hint
- [research goal]
- intent
- Guide product managers through preparing for customer discovery interviews by asking adaptive questions about research goals, customer segments, constraints…
- type
- interactive
- theme
- discovery-research
- best_for
- Designing a customer discovery interview plan, Choosing the right interview methodology for your goals and constraints, Preparing for research with limited…
- scenarios
- I need to interview 5 enterprise customers about why they churned in the last 90 days, I'm validating a new product idea with a 2-week deadline and cold…
- estimated_time
- 15-20 min
Files
Just SKILL.md in skills/discovery-interview-prep of deanpeters/Product-Manager-Skills.
Open the folder on GitHubat commit 1b5a524
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in deanpeters/Product-Manager-Skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Discovery Interview Prep 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 |
|---|---|---|---|---|---|---|
| Discovery Interview Prep this skilldeanpeters/Product-Manager-Skills | 7.2k | 1 repos | ~4.7k | Automated safety check: Pass | Custom licence | |
| 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 | |
| Customer InterviewsRefoundAI/lenny-skills | 1.4k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Product Discovery Brief Builderopen-mercato/skills | 227 | — | ~3k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Discovery Interview Prep
What does Discovery Interview Prep do?
Guides product managers through planning customer discovery interviews, from research goal and segment to method, question framework and success criteria. The skill is an interactive prep process, not a script generator. It asks adaptive questions about your research goal, the customer segment, access constraints such as how many interviews you can get and by when, and any hypotheses you carry in.
When should I use Discovery Interview Prep?
Discovery Interview Prep fits situations like: planning interviews to validate a customer problem; preparing churn research when you have limited interview access; testing an early product idea with a small set of customers.
How do I install Discovery Interview Prep in Claude Code?
Run `npx skills add deanpeters/Product-Manager-Skills --skill discovery-interview-prep -a claude-code`. Or copy the skill folder (skills/discovery-interview-prep in deanpeters/Product-Manager-Skills) into .claude/skills/discovery-interview-prep in your project. Claude Code loads it when a task matches its description.
How do I install Discovery Interview Prep in Codex?
Run `npx skills add deanpeters/Product-Manager-Skills --skill discovery-interview-prep -a codex`. Or copy the skill folder (skills/discovery-interview-prep in deanpeters/Product-Manager-Skills) into .agents/skills/discovery-interview-prep in your project. Codex loads it when a task matches its description.
Can I use Discovery Interview Prep 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 deanpeters/Product-Manager-Skills --skill discovery-interview-prep -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/discovery-interview-prep, .gemini/skills/discovery-interview-prep, .github/skills/discovery-interview-prep and .opencode/skills/discovery-interview-prep in your project.
What does Discovery Interview Prep need to run?
SKILL.md names no scripts, command-line tools or credentials: Discovery Interview Prep is instructions for the agent only.
Does Discovery Interview Prep 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 Discovery Interview Prep 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. Review the folder before installing.
What licence does Discovery Interview Prep use?
Discovery Interview Prep has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Discovery Interview Prep use?
About 4.7k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Discovery Interview Prep?
Skills that share tags, products or a category with Discovery Interview Prep: 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 Customer Interviews (RefoundAI/lenny-skills, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Discovery Interview Prep?
deanpeters (a GitHub user) maintains it in deanpeters/Product-Manager-Skills, which has 7,193 GitHub stars. The repository holds 75 skills in this directory. The repository was last updated on September 1, 2026.
Source: deanpeters/Product-Manager-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.