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2026-07-102

mobile-architecture-android-kotlin

mokhtarabadi/best-prompts

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2026-07-102

backend-architecture-nestjs-prisma-vertical

mokhtarabadi/best-prompts

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mobile-architecture-react-native-expo

mokhtarabadi/best-prompts

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task-generator

mokhtarabadi/best-prompts

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backend-architecture-go-gin

mokhtarabadi/best-prompts

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name	code-search
description	Mandatory workflow for exploring the codebase and gathering context for AI Studio.

Code Search & Discovery Strategy

You are the Executor. Your job is to extract codebase context so the Manager can upload it to the Orchestrator (Google AI Studio).

CRITICAL GUARDRAIL: You MUST NOT read, analyze, or process the generated reports yourself. You are strictly a data gatherer in this phase.

Discovery Workflow

Map the Structure: Call the custom_context_get_directory_tree MCP tool on the target directory (e.g., ., src/, packages/).
Extract Signatures (Prevent Context Bloat): Before reading full files, call the custom_context_extract_signatures MCP tool on the target files to understand their structural map (classes/functions) without loading massive file bodies.
Target Files: Analyze the ASCII tree to identify the exact files relevant to the Manager's request.
Compile Report: Call the custom_context_read_source_files MCP tool, passing the list of targeted file paths. This tool will safely read the files (respecting .gitignore) and compile them into a single Markdown file inside the context-reports/ directory.
Halt and Handover: Once the custom_context_read_source_files tool returns the generated file path, STOP. Do NOT use your read tool to open the report.
Output Message: Output the following exact message to the Manager:

"✅ Discovery complete. I have compiled the context report here: [INSERT_FILE_PATH]. Manager: Please upload this file to AI Studio for the Orchestrator's review."