Memory Intake
CheckedThis "Memory Intake" skill efficiently extracts and summarizes key information from provided text, boosting productivity by quickly capturing important details.
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 nhadaututtheky/neural-memory --skill memory-intake -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
nhadaututtheky
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 nhadaututtheky/neural-memory at 2015cb9b09.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 2015cb9b09
- Scanned
- 2 files, 340 lines
- Copies in repo
- 2 — all of them scanned
About this skill
What it does
The memory-intake skill enables AI agents to ingest and store new information into their persistent knowledge base. It allows agents to update existing records or create fresh entries based on provided context, ensuring long-term retention of specific data points.
When to use it
- You need an agent to remember a user's personal preferences for future interactions.
- The agent requires updating its internal database with new project specifications or technical constraints.
- You want the system to log specific events, such as meeting notes or transaction details, for later retrieval.
- An agent needs to learn from a newly uploaded document or dataset to answer questions accurately.
Key capabilities
- Ingests structured and unstructured data into the agent's memory store.
- Supports updating existing memory entries with new information.
- Creates new distinct records based on incoming context.
- Integrates within the
neural-memoryecosystem for persistent storage.
Example prompts
- "Ingest this product manual so I can ask questions about its specifications later."
- "Update your memory to note that my preferred contact method is email, not phone."
- "Store these meeting minutes in your long-term memory for the upcoming project review."
Tips & gotchas
Ensure the input data is formatted clearly to help the agent parse and categorize the information correctly. Verify that the agent has write permissions to the specific memory store before attempting ingestion.