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Pmf Survey

Checked
pmprompt·vlatest·other·MIT

This skill generates a probabilistic survey based on a prompt, offering diverse response options and valuable insights for data collection.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add pmprompt/claude-plugin-product-management --skill pmf-survey -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

pmprompt

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned pmprompt/claude-plugin-product-management at 3114dbe33f.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
3114dbe33f
Manifest
skills/pmf-survey/SKILL.md
Scanned
1 file, 65 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The pmf-survey skill enables AI agents to design and execute Product-Market Fit (PMF) surveys. It helps validate product hypotheses by generating targeted questions and analyzing responses to determine if a solution meets market needs.

When to use it

  • Validating early-stage product ideas before heavy development investment.
  • Gathering qualitative feedback to refine value propositions and feature sets.
  • Measuring customer satisfaction and willingness to pay for existing offerings.
  • Identifying gaps between user expectations and current product capabilities.

Key capabilities

  • Generates structured survey questions tailored to specific product hypotheses.
  • Facilitates data collection to assess market demand and fit.
  • Supports analysis of responses to derive actionable insights on PMF status.

Example prompts

  • "Create a 10-question survey to test if my SaaS idea solves a critical pain point for small businesses."
  • "Analyze these survey responses to determine our current Product-Market Fit score and suggest next steps."
  • "Draft questions to measure customer willingness to pay for the new feature we just launched."

Tips & gotchas

Ensure your target audience clearly defines your ideal customer profile before deploying surveys, as biased samples can skew PMF metrics. Limit survey length to maintain high response rates; aim for under 5 minutes of completion time.