Context
CheckedThis "Context" skill provides relevant background information to enhance conversations, improving understanding and response accuracy.
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 simhacker/moollm --skill context -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
simhacker
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 simhacker/moollm at 8f6d840b2f.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 8f6d840b2f
- Manifest
- skills/context/SKILL.md
- Scanned
- 1 file, 356 lines
About this skill
What it does
This skill allows an AI agent to maintain and utilize contextual information during a conversation or task. It remembers previous interactions, user preferences, and relevant details to provide more informed and personalized responses. The agent can recall past statements and actions to build upon them in subsequent turns.
When to use it
- Long-form conversations: When you need the AI to remember details across multiple messages or a prolonged discussion.
- Personalized assistance: To tailor responses based on previously stated user preferences or needs.
- Complex tasks requiring memory: For situations where the agent needs to track steps, variables, or conditions over time.
- Following up on previous requests: To ensure the AI remembers and acts upon earlier instructions.
Key capabilities
- Maintains conversational history
- Recalls user preferences
- Tracks task progress
- Utilizes past interactions for informed responses
Example prompts
- "Remember I said my favorite color is blue, now suggest a paint scheme."
- "What was the last step we discussed in setting up the server?"
- “Based on our previous conversation about travel destinations, recommend something similar.”
Tips & gotchas
The effectiveness of this skill depends on the agent's ability to accurately store and retrieve contextual information. Very long or complex conversations may exceed the agent’s memory capacity.