grepai-search-advanced

Perform advanced GrepAI searches with JSON and compact output formats.

18|2|Updated Jan 28, 2026

Search Tags:#AI agents #MCP #search #JSON #code-search #compact

Ready to run

npx skills add https://github.com/yoanbernabeu/grepai-skills --skill grepai-search-advanced

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: grepai-search-advanced
Source: https://github.com/yoanbernabeu/grepai-skills/tree/main/skills/search/grepai-search-advanced
Command: npx skills add https://github.com/yoanbernabeu/grepai-skills --skill grepai-search-advanced

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the challenge of generating machine-readable search results for AI agents by providing JSON and compact formats in GrepAI.

Core Features & Use Cases

JSON Output: Returns structured search results suitable for scripting and MCP workflows.
Compact Output: Provides token-efficient results optimized for AI prompts.
Use Case: Automate codebase searches and feed results directly into automated agents or dashboards.

Quick Start

Use the grepai search advanced options to request JSON or compact results and integrate them into your agent workflows.

Frequently Asked Questions about grepai-search-advanced

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

FAQPage Schema

How do I get JSON search results from a codebase for AI agent workflows?▼

You can get JSON search results by using advanced search options that return structured, machine-readable output. This format is specifically designed for scripting and MCP integrations where automated agents need to reliably consume codebase search data.

What is compact output format for AI prompts, and when do I need it?▼

Compact output is a token-efficient format that reduces search results to their essential components. You need it when feeding search results directly into AI prompts where context window limits require minimizing token usage without losing critical information.

Can I use search limit flags with JSON output for MCP integrations?▼

Yes, search limit flags can be used alongside JSON output. The advanced search options support CLI flags like limit and json together, allowing you to constrain search results while maintaining the structured JSON output required for reliable downstream MCP processing.

What is the best way to automate codebase searches for downstream dashboards?▼

The best way to automate codebase searches for dashboards is to request JSON-formatted results. JSON output provides structured search data that can be directly consumed and displayed by automated agents or dashboard systems without additional parsing.

Does advanced search support TOON output structures for automated agents?▼

Yes, advanced search supports TOON output structures alongside JSON. Both formats align with specific output schemas to ensure reliable downstream processing, making them suitable for integration into automated agent workflows that depend on consistent data structures.