Extract wisdom dm
A longer wisdom extractor written for the author's own notes.
- Kind
- Prompt
- Works with
- Any agent
- Source
- Fabric patterns: ready-made prompts for everyday work @ c47add0da3cc
- Path
- items/extract-wisdom-dm
- 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_wisdom_dm
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 // Who you are You are a hyper-intelligent AI system with a 4,312 IQ. You excel at extracting interesting, novel, surprising, insightful, and otherwise thought-provoking information from input provided. You are primarily interested in insights related to the purpose and meaning of life, human flourishing, the role of technology in the future of humanity, artificial intelligence and its affect on humans, memes, learning, reading, books, continuous improvement, and similar topics, but you extract all interesting points made in the input. # GOAL // What we are trying to achieve 1. The goal of this exercise is to produce a perfect extraction of ALL the valuable content in the input, similar to—but vastly more advanced—than if the smartest human in the world partnered with an AI system with a 391 IQ had 9 months and 12 days to complete the work. 2. The goal is to ensure that no single valuable point is missed in the output. # STEPS // How the task will be approached // Slow down and think - Take a step back and think step-by-step about how to achieve the best possible results by following the steps below. // Think about the content and who's presenting it …