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Dianel555
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ace-tool

Perform semantic search over codebases using natural language queries.

64|6|Updated Jan 26, 2026
Search Tags:#codebase#cli#ai-assistant#semantic-search#code-search#prompt-enhancement
One-click install
npx skills add https://github.com/Dianel555/DSkills --skill ace-tool
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ace-tool
Source: https://github.com/Dianel555/DSkills/tree/main/skills/ace-tool
Command: npx skills add https://github.com/Dianel555/DSkills --skill ace-tool

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires httpx, tenacity, and includes scripts (resource) components.

What problem does it solve?

ACE-Tool enables semantic code search and prompt enhancement to streamline code exploration and requirement clarification in complex codebases.

Core Features & Use Cases

  • Semantic search of codebases using natural language queries
  • Prompt enhancement with code context and conversation history
  • Multi-backend support including local fallback and third-party providers
  • Guidance to use semantic search before grep/find/glob workflows for improved accuracy
  • Suitable for large monorepos and diverse languages to accelerate code comprehension

Quick Start

Install ACE-Tool and then use the CLI to perform semantic search and prompt enhancement against your project.

Frequently Asked Questions about ace-tool

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

FAQPage Schema
How does semantic code search work for navigating large monorepos?▼

Semantic code search works by using natural language queries to locate authentication logic, data flow, and design intents in complex software projects. It improves code discovery in large monorepos by matching conceptual meaning rather than exact string patterns like grep.

How do I enhance prompts with code context from my codebase?▼

You enhance prompts with code context by using a standalone CLI tool that performs semantic search and integrates discovered code with conversation history. This routes enriched prompts through local or third-party backends to improve AI assistant responses.

Can I use natural language search instead of grep or find for codebase exploration?▼

Yes, you can use natural language search instead of grep or find for more accurate codebase exploration. The tool provides guidance to perform semantic search first to locate complex logic in diverse languages before falling back to traditional pattern matching workflows.

Does semantic code search provide a fallback when third-party API providers are unavailable?▼

Yes, semantic code search provides a local fallback when third-party API providers are unavailable. It supports multi-backend routing to ensure prompt enhancement and code discovery continue functioning even during external API outages or connectivity issues.

What is the best way to locate authentication logic and data flow in complex software projects?▼

The best way to locate authentication logic and data flow is using semantic search with natural language queries. This approach accelerates code comprehension in complex software projects by discovering design intents without relying on exact text matching across diverse programming languages.

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