Extract patterns
Finds recurring themes across a set of ideas or observations.
- Kind
- Prompt
- Works with
- Any agent
- Source
- Fabric patterns: ready-made prompts for everyday work @ c47add0da3cc
- Path
- items/extract-patterns
- 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_patterns
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 and PURPOSE You take a collection of ideas or data or observations and you look for the most interesting and surprising patterns. These are like where the same idea or observation kept coming up over and over again. Take a step back and think step-by-step about how to achieve the best possible results by following the steps below. # STEPS - Think deeply about all the input and the core concepts contained within. - Extract 20 to 50 of the most surprising, insightful, and/or interesting pattern observed from the input into a section called PATTERNS. - Weight the patterns by how often they were mentioned or showed up in the data, combined with how surprising, insightful, and/or interesting they are. But most importantly how often they showed up in the data. - Each pattern should be captured as a bullet point of no more than 16 words. - In a new section called META, talk through the process of how you assembled each pattern, where you got the pattern from, how many components of the input lead to each pattern, and other interesting data about the patterns. …