jpoutrin

Configures MCP servers to connect Claude Code with external tools and APIs, enabling seamless integration and data flow.

Ensures dependency version alignment and conflict resolution for parallel development in Python and Node.js projects.

Facilitates detailed technical specification writing for implementation, API contracts, and system design documentation.

Facilitates comprehensive browser log capture for debugging web applications using Chrome DevTools, enhancing error analysis and performance tracking.

Coordinates complex debugging investigations by managing specialized agents for multi-layered issues across frontend, backend, and network domains.

Facilitates parallel development by orchestrating multiple agents to execute independent tasks efficiently.

Enhances Python code quality through static type checking with Mypy, ensuring type safety and early bug detection.

Enables Language Server Protocol integration for Claude Code, enhancing code intelligence with features like go-to-definition and real-time diagnostics.

Facilitates structured technical specification writing, ensuring objective analysis and clear documentation for design and architecture proposals.

Automates the setup of production-ready Django 6.0 projects with modern tooling for efficient development and AI compatibility.

Audits and prepares Django codebases for parallel multi-agent development, identifying blockers and setting up orchestration infrastructure.

Provides comprehensive Python code review guidelines focusing on security, performance, and style to enhance code quality.

Automates per-project shell configuration with direnv, enhancing environment management for various programming languages.

Manages port allocations for local development with git worktrees, preventing conflicts in parallel environments.

Provides TypeScript and React code review guidelines focusing on type safety, performance, and security best practices.

Facilitates debugging of JavaScript errors and console messages using systematic analysis techniques for improved web application performance.

Facilitates the management of design systems for consistent UI component reuse, enhancing development efficiency and documentation.

Facilitates debugging of API calls and network requests by providing detailed analysis of HTTP traffic and response data.

Facilitates the decomposition of PRDs and Tech Specs into parallel tasks, enhancing multi-agent execution efficiency.

Generates agent-ready prompts from task specifications, enhancing workflow efficiency for AI task execution.