Agile Product Owner
alirezarezvani/claude-skills
Writes INVEST-checked user stories with acceptance criteria, splits epics, plans sprints from velocity and ranks the backlog with a weighted score.
Structure a spoken PM product-sense answer with assumptions, segmentation, pain-point prioritization, and MVP tradeoffs.
Install Product Sense Interview Answer
$ npx skills add deanpeters/Product-Manager-Skills --skill product-sense-interview-answer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install deanpeters/Product-Manager-Skills product-sense-interview-answer --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/product-sense-interview-answer .claude/skills/product-sense-interview-answer && 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 "product-sense-interview-answer" agent skill from https://github.com/deanpeters/Product-Manager-Skills/tree/main/skills/product-sense-interview-answer into .claude/skills/product-sense-interview-answer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-sense-interview-answer", 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/product-sense-interview-answerType 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 product-sense-interview-answer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install deanpeters/Product-Manager-Skills product-sense-interview-answer --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/product-sense-interview-answer .agents/skills/product-sense-interview-answer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "product-sense-interview-answer" agent skill from https://github.com/deanpeters/Product-Manager-Skills/tree/main/skills/product-sense-interview-answer into .agents/skills/product-sense-interview-answer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-sense-interview-answer", 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 product-sense-interview-answer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install deanpeters/Product-Manager-Skills product-sense-interview-answer --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/product-sense-interview-answer .cursor/skills/product-sense-interview-answer && 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 "product-sense-interview-answer" agent skill from https://github.com/deanpeters/Product-Manager-Skills/tree/main/skills/product-sense-interview-answer into .cursor/skills/product-sense-interview-answer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-sense-interview-answer", 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/product-sense-interview-answer--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 product-sense-interview-answer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install deanpeters/Product-Manager-Skills product-sense-interview-answer --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/product-sense-interview-answer .gemini/skills/product-sense-interview-answer && 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 "product-sense-interview-answer" agent skill from https://github.com/deanpeters/Product-Manager-Skills/tree/main/skills/product-sense-interview-answer into .gemini/skills/product-sense-interview-answer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-sense-interview-answer", 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 product-sense-interview-answerInstalls 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 product-sense-interview-answer -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/product-sense-interview-answer .github/skills/product-sense-interview-answer && 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 "product-sense-interview-answer" agent skill from https://github.com/deanpeters/Product-Manager-Skills/tree/main/skills/product-sense-interview-answer into .github/skills/product-sense-interview-answer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-sense-interview-answer", 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 product-sense-interview-answer -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 product-sense-interview-answer --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/product-sense-interview-answer .opencode/skills/product-sense-interview-answer && 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 "product-sense-interview-answer" agent skill from https://github.com/deanpeters/Product-Manager-Skills/tree/main/skills/product-sense-interview-answer into .opencode/skills/product-sense-interview-answer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-sense-interview-answer", 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
product-sense-interview-answer- GitHub stars
- 7.2k
- Token cost
- ~3k tokens
- SKILL.md length
- 1,541 words
- Files
- 4
- Skills in repo
- 75
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Structure a spoken PM product-sense answer with assumptions, segmentation, pain-point prioritization, and MVP tradeoffs.
- Works in 6 steps: Clarify the Prompt → Build the Rationale Before the Feature → Define the Product Goal → …
- Practicing design
- 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
Product Sense Interview Answer is an agent skill from deanpeters/Product-Manager-Skills. Structure a spoken PM product-sense answer with assumptions, segmentation, pain-point prioritization, and MVP tradeoffs. Use when practicing design, improve, or build-next interview questions.
Its SKILL.md is about 3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `examples/diagnose-metric-drop.md`, `examples/improve-youtube.md` and `template.md`).
It sits in Product & Project Management, covering Prioritization frameworks and Interview preparation. The repository describes itself as: Product Management skills framework built on battle-tested methods for Claude Code, Cowork, Codex, and AI agents.
When your agent uses it
- Practicing design
- Build-next interview questions
Example prompts
- “/product-sense-interview-answer”
Workflow steps
6 steps, taken from the step headings in SKILL.md.
- Clarify the Prompt
- Build the Rationale Before the Feature
- Define the Product Goal
- Segment the Market and Pick a Target
- Map Pain Points and Prioritize One
- Generate Options, Choose an MVP, and Close
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.
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
Product Sense Interview Answer loads about 3k tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 1,541 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 1,541 words (~2,960 tokens).
“Help PM candidates and interview coaches structure product-sense answers that sound strong out loud, not just on paper. Use this when practicing prompts like "How would you improve X?", "Design a product for Y", or "What would you build next…”
- name
- product-sense-interview-answer
- argument-hint
- [interview prompt]
- intent
- Coach PM candidates through open-ended product-sense interviews using a repeatable six-part answer spine: clarify, rationale, goal, segmentation, pain points…
- type
- component
- theme
- career-leadership
- best_for
- Practicing product design and product improvement interview questions, Coaching candidates who jump to solutions too quickly, Turning messy ideation into a…
- scenarios
- How would you improve YouTube?, Design a product for travelers with flight anxiety, What would you build next for DoorDash?
- estimated_time
- 20-30 min
Files
SKILL.md and 3 other files in skills/product-sense-interview-answer of deanpeters/Product-Manager-Skills.
- SKILL.md
- examples/diagnose-metric-drop.md
- examples/improve-youtube.md
- template.md
Open the folder on GitHubat commit 1b5a524
Compare with similar skills
Product Sense Interview Answer 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 |
|---|---|---|---|---|---|---|
| Product Sense Interview Answer this skilldeanpeters/Product-Manager-Skills | 7.2k | — | ~3k | Automated safety check: Pass | Custom licence | |
| Agile Product Owneralirezarezvani/claude-skills | 28k | 3 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Idea Validatoraakashg/pm-claude-skills | 112 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Triagejoa23/linear-cli | 144 | — | ~699 | Automated safety check: Pass | MIT | |
| Define Opportunity Treeproduct-on-purpose/pm-skills | 716 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Topissuesfullsend-ai/fullsend | 150 | — | ~523 | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Product Sense Interview Answer
What does Product Sense Interview Answer do?
Structure a spoken PM product-sense answer with assumptions, segmentation, pain-point prioritization, and MVP tradeoffs. Product Sense Interview Answer is an agent skill from deanpeters/Product-Manager-Skills. Structure a spoken PM product-sense answer with assumptions, segmentation, pain-point prioritization, and MVP tradeoffs.
When should I use Product Sense Interview Answer?
Product Sense Interview Answer fits situations like: practicing design; build-next interview questions.
How do I install Product Sense Interview Answer in Claude Code?
Run `npx skills add deanpeters/Product-Manager-Skills --skill product-sense-interview-answer -a claude-code`. Or copy the skill folder (skills/product-sense-interview-answer in deanpeters/Product-Manager-Skills) into .claude/skills/product-sense-interview-answer in your project. Claude Code loads it when a task matches its description.
How do I install Product Sense Interview Answer in Codex?
Run `npx skills add deanpeters/Product-Manager-Skills --skill product-sense-interview-answer -a codex`. Or copy the skill folder (skills/product-sense-interview-answer in deanpeters/Product-Manager-Skills) into .agents/skills/product-sense-interview-answer in your project. Codex loads it when a task matches its description.
Can I use Product Sense Interview Answer 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 product-sense-interview-answer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/product-sense-interview-answer, .gemini/skills/product-sense-interview-answer, .github/skills/product-sense-interview-answer and .opencode/skills/product-sense-interview-answer in your project.
What does Product Sense Interview Answer need to run?
SKILL.md names no scripts, command-line tools or credentials: Product Sense Interview Answer is instructions for the agent only.
Does Product Sense Interview Answer 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 Product Sense Interview Answer 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 Product Sense Interview Answer use?
Product Sense Interview Answer 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 Product Sense Interview Answer use?
About 3k tokens (SKILL.md is roughly 12k 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 Product Sense Interview Answer?
Skills that share tags, products or a category with Product Sense Interview Answer: Agile Product Owner (alirezarezvani/claude-skills, 28k stars), Idea Validator (aakashg/pm-claude-skills, 112 stars), Triage (joa23/linear-cli, 144 stars) and Define Opportunity Tree (product-on-purpose/pm-skills, 716 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Product Sense Interview Answer?
deanpeters (a GitHub user) maintains it in deanpeters/Product-Manager-Skills, which has 7,224 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.