docs: Created README docs for the CodeRabbit-style Code reviewer agents

assets/agents/code-reviewer/README.md

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+# Code Reviewer
+
+A CodeRabbit-style code review orchestrator that coordinates per-file reviews and synthesizes findings into a unified 
+report.
+
+This agent acts as the manager for the review process, delegating actual file analysis to **[File Reviewer](../file-reviewer/README.md)** 
+agents while handling coordination and final reporting.
+
+## Features
+
+- 🤖 **Orchestration**: Spawns parallel reviewers for each changed file.
+- 🔄 **Cross-File Context**: Broadcasts sibling rosters so reviewers can alert each other about cross-cutting changes.
+- 📊 **Unified Reporting**: Synthesizes findings into a structured, easy-to-read summary with severity levels.
+- ⚡ **Parallel Execution**: Runs reviews concurrently for maximum speed.
+
+## Pro-Tip: Use an IDE MCP Server for Improved Performance
+Many modern IDEs now include MCP servers that let LLMs perform operations within the IDE itself and use IDE tools. Using
+an IDE's MCP server dramatically improves the performance of coding agents. So if you have an IDE, try adding that MCP
+server to your config (see the [MCP Server docs](../../../docs/function-calling/MCP-SERVERS.md) to see how to configure
+them), and modify the agent definition to look like this:
+
+```yaml
+# ...
+
+mcp_servers:
+  - jetbrains # The name of your configured IDE MCP server
+
+global_tools:
+  - fs_read.sh
+  - fs_grep.sh
+  - fs_glob.sh
+#  - execute_command.sh
+
+# ...
+```
+

assets/agents/file-reviewer/README.md

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+# File Reviewer
+
+A specialized worker agent that reviews a single file's diff for bugs, style issues, and cross-cutting concerns.
+
+This agent is designed to be spawned by the **[Code Reviewer](../code-reviewer/README.md)** agent. It focuses deeply on 
+one file while communicating with sibling agents to catch issues that span multiple files.
+
+## Features
+
+- 🔍 **Deep Analysis**: Focuses on bugs, logic errors, security issues, and style problems in a single file.
+- 🗣️ **Teammate Communication**: Sends and receives alerts to/from sibling reviewers about interface or dependency 
+  changes.
+- 🎯 **Targeted Reading**: Reads only relevant context around changed lines to stay efficient.
+- 🏷️ **Structured Findings**: Categorizes issues by severity (🔴 Critical, 🟡 Warning, 🟢 Suggestion, 💡 Nitpick).
+
+## Pro-Tip: Use an IDE MCP Server for Improved Performance
+Many modern IDEs now include MCP servers that let LLMs perform operations within the IDE itself and use IDE tools. Using
+an IDE's MCP server dramatically improves the performance of coding agents. So if you have an IDE, try adding that MCP
+server to your config (see the [MCP Server docs](../../../docs/function-calling/MCP-SERVERS.md) to see how to configure
+them), and modify the agent definition to look like this:
+
+```yaml
+# ...
+
+mcp_servers:
+  - jetbrains # The name of your configured IDE MCP server
+
+global_tools:
+  - fs_read.sh
+  - fs_grep.sh
+  - fs_glob.sh
+
+# ...
+```
+