Graham grahama1970

name: code-reviewer description: Proactively triggered for comprehensive code reviews and security analysis. If they say 'review code', 'check security', 'code quality', or mention pull requests, use this agent. When you prompt this agent, provide the code location and review focus areas (security, performance, style). Remember, this agent has no context about your standards, so specify coding conventions and acceptable risk levels. tools: python type: reviewer capabilities:

code_review_bundle
git_context_integration
security_analysis
performance_review

Claude Dashboard

A real-time monitoring dashboard for Claude code instances managed by claude_dispatcher.py, built with React, Tailwind CSS, Shadcn/UI, and FastAPI. It provides live observability of tmux slots, Claude hook events, and system health, inspired by the disler/claude-code-hooks-multi-agent-observability repository. The dashboard runs locally, leveraging uv for dependency management and WebSockets for real-time updates.

Key Features

Real-Time Monitoring: Displays live tmux slot statuses, Claude hook events (e.g., PreToolUse, Notification), and system health (CPU, memory, Redis) via WebSockets.
Live Tmux Output Streaming: Streams tmux capture-pane output for each slot in real-time, viewable in a modal.
Advanced Event Filtering: Filters hook events by event type, session ID, source app, and content on the Event Timeline page.
Chat Transcript Modal: Views Claude conversation history for Notification events, with formatted prompt/response pairs.

MCP Servers: An AI Agent's Retrievable Memory System

This README consolidates and supersedes the previous README_short.md and the original README.md. It has been audited against the current source code (see list at the end of this file) and should be treated as the single source of truth for how the MCP servers work.

1 Conceptual Foundations

# Gemini CLI Stress Test Harness

This Python tool benchmarks the response time and reliability of the Google Gemini CLI on complex or large prompts, supporting concurrent execution for load testing.

---

## Features

- **Concurrent execution:** Run multiple parallel Gemini CLI jobs.

CC Executor Context

Project Type

MCP (Model Context Protocol) services and tools for Claude Code integration

Critical Constraints

Subprocess Tool Architecture:
- Tools in src/cc_executor/tools/*.py are CLI scripts that parse sys.argv

They CANNOT be converted to importable modules

Background Verification with Polling POC

Objective

Prove that we can use a background Claude Code process to verify results and block task progression until verification completes.

Important

This is a self-contained POC. All required command files are in the commands/ subdirectory.

Working Directory

All tasks should be executed with the current working directory as:

Background Verification with Polling POC

Objective

Prove that we can use a background Claude Code process to verify results and block task progression until verification completes.

Important

This is a self-contained POC. All required command files are in the commands/ subdirectory.

Tasks

Claude Code Self Assessment: Marketing Claims vs. Reality

Based on hands-on testing and user research

Executive Summary

Claude Code is marketed as an "agentic coding" tool that can autonomously write code and replace developer workflows. After extensive testing and research into user experiences, the reality is starkly different: Claude Code functions as an unreliable, expensive file manager that requires constant supervision and frequently misrepresents its own actions.

Marketing Claims vs. Demonstrated Reality

Ask Gemini Flash Command

Ask Gemini Flash this question and get a quick, balanced response: $ARGUMENTS

Expected Output:

Provide clear, concise answers (limit ~500 tokens)
Use creative but accurate tone
For complex code tasks, suggest using ask-gemini-pro instead
If unable to answer, explain why clearly

	#!/usr/bin/env python3
	"""
	Generate a concatenated code review bundle from a configuration file.

	This script creates a single markdown document containing all files that need review.
	It is designed to be a robust command-line utility for both human and agent use.
	Additionally, it can perform AI-powered code reviews using LiteLLM with various models.

	AGENT VERIFICATION INSTRUCTIONS:
	- Run this script directly to execute working_usage()