Surface and categorize assumptions underlying product strategy. Use early in development to document what you're betting on.
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itseffi/agentic-os117Updated Oct 7, 2026
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interview-cleanup
Clean up raw interview transcripts while preserving meaning and speaker voice. Use after conducting interviews.
The English summary is being prepared. Showing the original description.
See how to installFiles included (2)
- SKILL.md1.3 KB
- agents/openai.yaml192 B
SKILL.md (original)
Review the instructions the agent will receive before you install.
Interview Transcript Cleanup
Clean up raw interview transcripts while preserving meaning and speaker voice.
When to Use
After conducting user interviews when you have raw transcripts that need cleanup before analysis.
The Process
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Read the full transcript to understand context and flow
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Remove noise without losing meaning:
- Filler words (um, uh, like, you know)
- False starts (incomplete/abandoned sentences)
- Redundancies (repeated words that don't add meaning)
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Preserve what matters:
- Original meaning and intent
- Speaker's unique voice and style
- Speaker labels (Interviewer:, Interviewee:)
- Unclear/inaudible markers [inaudible]
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Light editing only:
- Fix punctuation and capitalization
- Don't over-formalize casual language
- Don't cut unnecessarily
Quality Check
- Does the cleaned transcript read naturally?
- Is the original meaning preserved?
- Can you still hear the speaker's voice?
- Are all speakers clearly labeled?
When Not to Use
Do not use this skill when the request is unrelated, low-stakes, or better handled by a simpler direct response.
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