investigate-dependencies
Conduct thorough dependency audits to identify redundant code, unused features, and improper usage patterns. Ensures project modularity by leveraging existing dependencies instead of reinventing functionality.
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Conduct thorough dependency audits to identify redundant code, unused features, and improper usage patterns. Ensures project modularity by leveraging existing dependencies instead of reinventing functionality.
A comprehensive library of 305+ modular instruction packages, Python CLI tools, and agent workflows designed to extend the capabilities of AI coding assistants like Claude Code, Cursor, Aider, and Gemini CLI.
Create and configure Hookify rules to watch for specific patterns in files, bash commands, or user prompts.
An autonomous AI agent loop that executes Claude Code repeatedly to build features from structured PRDs until completion.
Automated PR CI monitoring and failure resolution agent.
Execute implementation plans in separate sessions with review checkpoints, ensuring task-by-task verification and robust code quality.
Analyzes codebases to generate hierarchical documentation, onboarding guides, and architectural mapping, helping teams understand and document their projects efficiently.
Standardize git commits with conventional formatting, signatures, and automated context gathering for better project history.
An advanced development guide for Claude Code, covering REPL environments, MCP integration, development workflows, and best practices for AI-assisted coding.
Automated PR lifecycle management: monitors conflicts, resolves CI failures, handles review feedback, and executes squash-merges for safe code integration.
Enforce high-quality testing practices by identifying and preventing common anti-patterns like mock-testing, test-only production code, and incomplete dependency mocking.
A comprehensive configuration toolkit for Claude Code featuring battle-tested agents, skills, hooks, and automation workflows for software development.