pm-brain-for-cursor: Skill for Cursor

.cursor/skills/interview-frameworks/SKILL.md

interview-frameworks is a skill for Cursor from ertra/pm-brain-for-cursor. It costs 69 tokens per session (3,265 once invoked), scanned A, original, MIT.

A collection of methods for planning and running user interviews, conversations used to learn about people's real needs and behavior. It covers customer discovery, problem and solution validation, usability testing, feature prioritization, and job-focused research.

In plain words
What is it for?
Use it to create interview guides, plan customer discovery, investigate user problems, test a proposed solution, run usability interviews, prioritize features, or understand a user's workflow.
Why use it?
It helps replace guesses and hypothetical opinions with evidence from what people have actually done. Better questions can uncover unmet needs, pain points, workflows, and the reasons behind user behavior.

Skill for Cursor

Written for Cursor: installed under .cursor/. Also seen: positional $N argument.

This is ertra/pm-brain-for-cursor's own configuration. It tells Cursor how to work on pm-brain-for-cursor itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything pm-brain-for-cursor configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ertra/pm-brain-for-cursor. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ertra/pm-brain-for-cursor/main/.cursor/skills/interview-frameworks/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/ertra/pm-brain-for-cursor

Made for: Cursor.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

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README.md
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Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,265 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00069 $0.03265
Opus 5.5 $0.00028 $0.01306
Sonnet 5.5 $0.00014 $0.00653
Haiku 4.5 $0.00007 $0.00327

Measured 1mo ago against content hash 7ed509e37664, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

interview-frameworks scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.cursor/skills/interview-frameworks/SKILL.md · 505 lines

How it starts

The opening of the file, as written. The whole thing — 505 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Interview Frameworks

Overview

Frameworks for conducting effective user interviews including question design, interviewing techniques, and extracting actionable insights.

Core Principle: Good interviews come from great questions. Focus on past behavior and specific examples, not hypotheticals or opinions. Listen more than you talk.

Origin: Synthesized from Teresa Torres ("Continuous Discovery Habits"), Erika Hall ("Just Enough Research"), and Rob Fitzpatrick ("The Mom Test").

Key Insight: User interviews are the foundation of customer discovery. Good interviews uncover unmet needs, validate assumptions, and reveal the "why" behind user behavior that quantitative data cannot.

When to Use This Skill

Use when you need:

  • Customer discovery research
  • Problem validation
  • Solution validation
  • Usability testing
  • Feature prioritization research
  • Understanding user workflows
  • Jobs-to-be-Done research

Four Types of User Interviews

Discovery Interviews (Problem Exploration)

Purpose: Understand problems, needs, contexts, pain points

When: Early product development, new market, problem validation

Focus:

  • Current workflows
  • Pain points and workarounds
  • Unmet needs
  • Context and constraints

Example question: "Walk me through how you currently manage projects for your team"

Complete script: assets/interview-script-templates.md (Discovery section)


Validation Interviews (Solution Testing)

Purpose: Test solutions, get feedback on concepts

When: After problem validation, before building

Focus:

  • Solution fit with workflow
  • Feature prioritization
  • Willingness to pay
  • Alternatives considered

Example question: "If we built [solution], how would that fit into your workflow?"

Complete script: assets/interview-script-templates.md (Validation section)


Usability Interviews (Product Testing)

Purpose: Test actual product, identify friction

When: During or after building

Read the full file on GitHub · 505 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 505 lines · 69 tokens per session scan A 7ed509e37664

Subscribe to this mod's changes

interview-frameworks is a skill published in the GitHub repository ertra/pm-brain-for-cursor (22 stars, last pushed 5mo ago), licensed MIT. It adds 69 tokens to every session and 3,265 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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