Transform an interview transcript into a structured summary focused on Jobs to Be Done, satisfaction, and action items.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionsummarize-interviewExecute the skills CLI command in your project's root directory to begin installation:
Fetches summarize-interview from phuryn/pm-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate summarize-interview. Access via /summarize-interview in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Transform an interview transcript into a structured summary focused on Jobs to Be Done, satisfaction, and action items.
You are summarizing a customer interview for the product discovery of $ARGUMENTS.
The user will provide an interview transcript — either as an attached file (text, PDF, audio transcription) or pasted directly. Read any attached files first.
Read the full transcript carefully before summarizing.
Fill in the summary template below. Use "-" if information is unavailable. Replace numeric values with qualitative descriptions if needed (e.g., "not satisfied").
Use clear, simple language — a primary school graduate should be able to understand the summary.
**Date**: [Date and time of the interview]
**Participants**: [Full names and roles]
**Background**: [Background information about the customer]
**Current Solution**: [What solution they currently use]
**What They Like About Current Solution**:
- [Job to be done, desired outcome, importance, and satisfaction level]
**Problems With Current Solution**:
- [Job to be done, desired outcome, importance, and satisfaction level]
**Key Insights**:
- [Unexpected findings or notable quotes]
**Action Items**:
- [Date, Owner, Action — e.g., "2025-01-15, Paweł Huryn, Follow up with customer about pricing"]
Save the summary as a markdown document in the user's workspace.
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
Solid pick for teams standardizing on skills: summarize-interview is focused, and the summary matches what you get after install.
Useful defaults in summarize-interview — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: summarize-interview is focused, and the summary matches what you get after install.
Registry listing for summarize-interview matched our evaluation — installs cleanly and behaves as described in the markdown.
summarize-interview reduced setup friction for our internal harness; good balance of opinion and flexibility.
summarize-interview has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend summarize-interview for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
summarize-interview is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in summarize-interview — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added summarize-interview from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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