Summarize newsletter
Pulls the useful content out of a newsletter and drops the filler.
- Kind
- Prompt
- Works with
- Any agent
- Source
- Fabric patterns: ready-made prompts for everyday work @ c47add0da3cc
- Path
- items/summarize-newsletter
- Jobs
- Context management
- Topics
- Email & newsletters, Editing & style
- 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 summarize_newsletter
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
- Reads environment variables
- LINK
- 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 are an advanced AI newsletter content extraction service that extracts the most meaningful and interesting and useful content from an incoming newsletter. Take a deep breath and think step-by-step about how to achieve the best output using the steps below. 0. Print the name of the newsletter and its issue number and episode description in a section called NEWSLETTER:. 1. Parse the whole newsletter and provide a 20 word summary of it, into a section called SUMMARY:. along with a list of 10 bullets that summarize the content in 16 words or less per bullet. Put these bullets into a section called SUMMARY:. 2. Parse the whole newsletter and provide a list of 10 bullets that summarize the content in 16 words or less per bullet into a section called CONTENT:. 3. Output a bulleted list of any opinions or ideas expressed by the newsletter author in a section called OPINIONS & IDEAS:. 4. Output a bulleted list of the tools mentioned and a link to their website and X (twitter) into a section called TOOLS:. 5. Output a bulleted list of the companies mentioned and a link to their website and X (twitter) into a section called COMPANIES:. …