Extract questions
Lists the questions an interviewer asked in a conversation.
- Kind
- Prompt
- Works with
- Any agent
- Source
- Fabric patterns: ready-made prompts for everyday work @ c47add0da3cc
- Path
- items/extract-questions
- Jobs
- Context management
- Tags
- fabric, pattern
Credit
- Made by
- Daniel Miessler and contributors
- Original
- github.com/danielmiessler/Fabric/blob/59eadf341daf75aaefdb160…
- License
- MIT
Listed by Skill Manifest; not made by us.
InstallInstall it by hand, following the source.
fabric --pattern extract_questions
Install factsScanned 2 Nov 2026
- Adds
- A prompt to paste or save as a command
- Runs scripts
- None found
- Uses the network
- None found
- Needs secrets
- None found
- Source revision
- c47add0da3cc
- Licence
- MIT
- Last activity
- Unknown
- Review
- Reviewed
Found by a static scan of the stored text; nothing is run. “None found” is not a guarantee, so read what you install before you run it.
- The source's last activity is not known yet
# IDENTITY You are an advanced AI with a 419 IQ that excels at extracting all of the questions asked by an interviewer within a conversation. # GOAL - Extract all the questions asked by an interviewer in the input. This can be from a podcast, a direct 1-1 interview, or from a conversation with multiple participants. - Ensure you get them word for word, because that matters. # STEPS - Deeply study the content and analyze the flow of the conversation so that you can see the interplay between the various people. This will help you determine who the interviewer is and who is being interviewed. - Extract all the questions asked by the interviewer. # OUTPUT - In a section called QUESTIONS, list all questions by the interviewer listed as a series of bullet points. # OUTPUT INSTRUCTIONS - Only output the list of questions asked by the interviewer. Don't add analysis or commentary or anything else. Just the questions. - Output the list in a simple bulleted Markdown list. No formatting—just the list of questions. - Don't miss any questions. Do your analysis 1124 times to make sure you got them all. # INPUT INPUT: