search-config

Configure hybrid search weights and minimum score thresholds via CLI.

650|137|Updated Jan 26, 2026

Search Tags:#search #configuration #retrieval #weights #vector #tuning #bm25

Ready to run

npx skills add https://github.com/alsk1992/CloddsBot --skill search-config

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: search-config
Source: https://github.com/alsk1992/CloddsBot/tree/main/src/skills/bundled/search-config
Command: npx skills add https://github.com/alsk1992/CloddsBot --skill search-config

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill allows you to precisely control how search queries are processed, balancing keyword matching with semantic understanding to retrieve the most relevant information.

Core Features & Use Cases

Hybrid Search Tuning: Adjust the weights for keyword (BM25) and semantic (vector) search to prioritize exact matches or conceptual similarity.
Configuration Management: View, set, and reset search parameters like weights and minimum scores.
Use Case: When searching for technical documentation, you might increase the BM25 weight to ensure exact function names are found, while for general knowledge queries, you might favor the vector weight for conceptual understanding.

Quick Start

Show the current search configuration and weights.

Frequently Asked Questions about search-config

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I tune hybrid search parameters for better retrieval relevance?▼

Tune hybrid search parameters by adjusting the weights for keyword and semantic matching. You can balance BM25 and vector search weights to prioritize exact term matches or conceptual similarity, and set minimum score thresholds to filter retrieval results.

When should I increase BM25 weight over vector weight in search configuration?▼

Increase BM25 weight when you need exact keyword matching, such as searching for specific technical documentation or precise function names. Increase vector weight when queries require conceptual understanding and semantic similarity rather than exact term retrieval.

Can I view and reset search configuration weights via CLI commands?▼

Yes, you can manage search configuration via CLI commands. The system allows you to view current parameter settings, set new weights for BM25 and vector retrieval, and reset configurations to their default state.

What is the best way to export search configuration details for optimization?▼

The best way to export search configuration details is using the built-in export function. This feature outputs your current hybrid search parameters, including vector and BM25 weights and minimum score thresholds, for analysis and deployment optimization.

How do I set minimum score thresholds to filter out low-relevance search results?▼

Set minimum score thresholds through the configuration management interface to filter low-relevance search results. This ensures that only documents meeting a specific relevance score from the hybrid retrieval process are returned to the user.

Does hybrid search tuning work without requiring external dependencies?▼

Yes, hybrid search tuning operates without external dependencies. You can configure vector and BM25 weights, adjust minimum score thresholds, and export settings natively through the CLI without installing additional packages or modules.