Search Memory
CheckedQuickly retrieves relevant information from past interactions and knowledge bases to inform current actions.
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 search-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, 285 lines
- Copies in repo
- 3 — all of them scanned
About this skill
What it does
The search-memory skill allows an AI agent to access and retrieve information from a previously stored memory. It enables agents to recall past interactions, data points, or knowledge provided during earlier conversations or tasks. This functionality enhances the agent's ability to maintain context and provide more informed responses over extended periods.
When to use it
- Long-form content creation: The agent can reference previously generated outlines or drafts when writing a longer piece of text.
- Customer support interactions: The agent can recall previous conversations with a customer to personalize the current interaction and avoid repeating information.
- Data analysis workflows: An agent can access intermediate results from earlier steps in a data processing pipeline.
- Personalized recommendations: The agent can remember user preferences or past selections to provide tailored suggestions.
Key capabilities
- Accesses stored memory.
- Retrieves information based on queries.
- Maintains context across interactions.
Example prompts
- "What was the last thing we discussed about project Phoenix?"
- "Can you remind me of the key findings from yesterday's data analysis?"
- “Show me the outline I created for the marketing presentation.”
Tips & gotchas
The effectiveness of this skill relies on a properly configured memory storage system. Ensure that the agent has access to and is authorized to read from the designated memory location.