Distill Memory
CheckedDistill Memory condenses lengthy texts into key insights and summaries, saving you time and boosting comprehension.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add nowledge-co/community --skill distill-memory --full-depth -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
nowledge-co
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned nowledge-co/community at 4013ecf7b2.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 4013ecf7b2
- Scanned
- 3 files, 202 lines
- Copies in repo
- 3 — all of them scanned
About this skill
What it does
The distill-memory skill allows an AI agent to extract key information and summarize long text passages. It can condense lengthy documents into concise summaries, identify important entities within a body of text, and provide focused answers based on the distilled content. This helps agents process large amounts of data more efficiently and deliver targeted responses.
When to use it
- Summarizing research papers: Quickly grasp the core findings from academic articles without reading every detail.
- Analyzing meeting transcripts: Extract action items and key decisions from lengthy recordings.
- Processing legal documents: Identify crucial clauses and obligations within complex contracts.
- Extracting information from customer feedback: Condense large volumes of reviews or survey responses to identify recurring themes.
Key capabilities
- Text summarization
- Entity identification
- Focused question answering based on distilled content
Example prompts
- "Summarize this article: [paste article text]"
- "What are the key entities mentioned in this document? [paste document text]"
- "Based on this transcript, what were the main decisions made? [paste transcript text]"
Tips & gotchas
The quality of the distilled information depends heavily on the clarity and structure of the input text. Providing well-formatted documents will yield better results.