semblent-search

Name: semblent-search
Availability: InStock
Author: HUMANERD

Search codebases by natural language queries using semantic analysis.

2|7|Updated Jun 19, 2026

Search Tags:#semantic search #code search #code discovery #software analysis #debugging tools

Ready to run

npx skills add https://github.com/humanerd-drew/opencode-drewgent --skill semblent-search

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: semblent-search
Source: https://github.com/humanerd-drew/opencode-drewgent/tree/main/%40action/skills/semble-research
Command: npx skills add https://github.com/humanerd-drew/opencode-drewgent --skill semblent-search

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires semble-engine, indexing-tools, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Navigates codebases intuitively with intent, not lines. Aids developers in tracing patterns that regex can't capture.

Core Features & Use Cases

Semantic Search: Locate code segments based on what they do, not how they are written.
Contextual Findings: Provides file locations and relevance scores for search results.
Use Case: Struggling to understand the authentication process in a new codebase? Semble-search will find relevant snippets and methods with ease.

Quick Start

Invoke Semble-search with 'Search for the login system in the repository.' to quickly find authentication code segments.

Frequently Asked Questions about semblent-search

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

FAQPage Schema

How do I search a codebase using natural language instead of regex?▼

Semantic code search lets you locate code segments based on what they do, not how they are written. It uses semantic analysis to understand and map code functionality, helping you trace patterns that regex cannot capture.

What is the best way to find authentication logic in an unfamiliar codebase?▼

Semantic code discovery helps you navigate unfamiliar codebases intuitively by intent. It provides relevant file locations and relevance scores for your natural language query, making code exploration and debugging much easier.

How does semantic code search work for software analysis and refactoring?▼

Semantic code search works by utilizing semantic analysis to understand and map code functionality across diverse codebases. This allows you to locate code segments for refactoring based on their functional meaning rather than exact string matches.

Do I need specific tools to use semantic search for code discovery?▼

Yes, you need the Semble engine and indexing tools to enable natural language querying for code search. These dependencies are required to perform the semantic analysis and map code functionality across your repository.

Can I use semantic search to debug complex codebases?▼

Yes, semantic search is suitable for debugging in diverse codebases. It helps developers trace patterns by locating relevant snippets and methods through natural language queries, providing contextual findings with file locations and relevance scores.

Semantic search is not finding the code segments I expect, what are the limitations?▼

Semantic code search relies on the Semble engine and indexing tools to map functionality, meaning results depend on accurate indexing. It may not capture highly abstract or unconventional coding patterns if they are not properly indexed.