interview-records

Archive interview records with transcripts, summaries, pain points, and follow-up actions.

5|Updated Dec 14, 2025
One-click install
npx skills add https://github.com/sigridjineth/anthropic-assignment --skill interview-records
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: interview-records
Source: https://github.com/sigridjineth/anthropic-assignment/tree/main/skills/interview_records
Command: npx skills add https://github.com/sigridjineth/anthropic-assignment --skill interview-records

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents the loss of valuable institutional knowledge from customer interactions. It provides a searchable archive of past interviews, ensuring continuity with returning customers and helping identify patterns across similar customer types.

Core Features & Use Cases

  • Full Context Capture: Stores complete transcripts, AI-generated summaries, identified pain points, and customer requirements.
  • Pattern Recognition: Helps find common objections or successful approaches across different customer conversations.
  • Continuity & Preparation: Quickly review previous discussions with a company to prepare for follow-up calls.
  • Use Case: Before a follow-up meeting with FinBot, instantly retrieve their previous pain points regarding token costs and context loss to tailor your discussion.

Quick Start

Summarize the last interview with FinBot, focusing on their pain points and requirements.

Frequently Asked Questions about interview-records

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I archive and search customer interview records?

Archive interview records by capturing transcripts, summaries, pain points, requirements, and metadata like company, date, and attendees. The searchable archive enables you to instantly retrieve past discussions, identify patterns across customer conversations, and prepare for follow-up meetings with complete context.

Can I use interview records to track customer pain points and requirements across sessions?

Yes. Store identified pain points, requirements, and follow-up actions within each record. Cross-reference these fields across sessions to detect common objections, successful approaches, and evolving customer needs, enabling continuity and pattern recognition.

What metadata should I capture in customer interview records?

Capture company, date, attendees, outcome, duration, full transcript, AI-generated summary, identified pain points, customer requirements, follow-up actions, and skills used. This metadata-rich schema enables search, cross-reference, compliance-auditable trails, and fast retrieval before follow-up calls.

How do interview records prevent loss of institutional knowledge in fintech customer interactions?

Interview records create a persistent, searchable archive of customer interactions and internal discovery sessions. By storing complete context and outcomes, they ensure continuity with returning customers and preserve insights that would otherwise be lost between sessions.

Can I use interview records for pattern detection across different customer types?

Yes. The archive structure supports searching and cross-referencing across multiple interviews, allowing you to identify common objections, pain points, and successful strategies shared by similar customer types or industries.