Agent skill
interview-records
Archive of past customer interviews. Contains full transcripts, summaries, pain points, outcomes, and skills used. Use for referencing previous conversations with the same company or finding similar case patterns.
Install this agent skill to your Project
npx add-skill https://github.com/sigridjineth/interview-copilot-with-skills/tree/main/skills/interview_records
SKILL.md
Interview Records Skill
Purpose
This skill stores complete interview records from customer calls. Each record captures the full context of a conversation for future reference.
When to Use
- "Have we talked to this company before?"
- "What did we discuss with FinBot last time?"
- "Find similar fintech customer conversations"
- "What objections came up in past calls about token costs?"
Record Structure
Each interview record contains:
- Metadata: Company, date, attendee, outcome, duration
- Summary: AI-generated call summary
- Pain Points: Customer challenges identified
- Requirements: What the customer needs
- Transcript: Full conversation record
- Skills Used: Which skills were activated and why
- Follow-up Actions: Next steps recommended
Usage Pattern
Interview records are automatically created when a session ends. They can be searched and referenced in future prep sessions to:
- Provide continuity with returning customers
- Find patterns across similar customer types
- Track which approaches worked well
- Build institutional knowledge from field conversations
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