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Hybrid Search Implementation

Checked
wshobson·vlatest·other·MIT

Combines vector and keyword search to retrieve comprehensive results, enhancing information discovery accuracy.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add wshobson/agents --skill hybrid-search-implementation -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

wshobson

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 wshobson/agents at 46891e7e60.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
46891e7e60
Manifest
plugins/llm-application-dev/skills/hybrid-search-implementation/SKILL.md
Scanned
2 files, 561 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The hybrid-search-implementation skill enables AI agents to combine multiple search strategies, such as keyword-based and semantic search, for more accurate and comprehensive results. It allows agents to dynamically select or blend different search methods depending on context, improving efficiency in information retrieval tasks.

When to use it

  • When searching through unstructured data sources like documents or web pages where traditional keyword searches may miss relevant content.
  • In scenarios requiring both speed and precision, such as customer support systems that need to quickly find the most relevant answers from a knowledge base.
  • For applications that require contextual understanding of queries, such as chatbots handling complex user questions.

Key capabilities

  • Integration of multiple search algorithms into one unified system
  • Dynamic selection between keyword-based and semantic search methods
  • Improved accuracy in retrieving relevant information

Example prompts

  • "Find the most relevant documents about AI ethics using both keywords and context."
  • "Combine semantic and keyword searches to locate recent articles on climate change."
  • "Use hybrid search to find the best answer for the user’s question from our knowledge base."

Tips & gotchas

  • Ensure that all data sources are properly indexed and formatted for optimal performance.
  • Hybrid search may require more computational resources compared to single-method approaches, so consider system limitations when deploying.