Embedding Generator
CheckedThis skill generates vector embeddings from text, enabling semantic similarity searches and powering AI applications needing contextual understanding.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
Embedding Generator, not the name it is listed under, so the command below uses that name.- 1
Run this in your project
terminal$ npx skills add jmsktm/claude-settings --skill "Embedding Generator" -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
jmsktm
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 jmsktm/claude-settings at c113b0d7e1.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- c113b0d7e1
- Scanned
- 1 file, 178 lines
About this skill
What it does
This skill, the Embedding Generator, creates vector embeddings from text. Embeddings are numerical representations of text that capture semantic meaning, allowing for tasks like similarity search and clustering. It leverages Claude settings to generate these embeddings.
When to use it
- Semantic Search: Find documents or passages similar in meaning to a given query.
- Content Clustering: Group related content together based on their underlying themes.
- Recommendation Systems: Suggest relevant items (e.g., articles, products) based on user preferences expressed as text.
- Knowledge Base Indexing: Create an index of your knowledge base for efficient retrieval using semantic search.
Key capabilities
- Generates vector embeddings from text input.
- Utilizes Claude settings for embedding creation.
Example prompts
- "Generate an embedding for the following sentence: 'The quick brown fox jumps over the lazy dog.'"
- "Create a vector representation of this product description: [product description]"
- "Embed this customer review: [customer review]"
Tips & gotchas
This skill requires access to and configuration with Claude. Ensure your AI agent is properly connected to Claude before using the Embedding Generator.