analyze
01Command
Analyzes the codebase for correctness, architecture, quality, security, and performance, providing a prioritized list of actionable issues.
🚀 Agentic Engineering: A guide for orchestrating specialized AI agents in software development. Demonstrates workflows where human orchestrators direct AI personas to build, test, and deploy code collaboratively.
Command
Analyzes the codebase for correctness, architecture, quality, security, and performance, providing a prioritized list of actionable issues.
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Builds a new feature based on a description, creating the necessary code and tests.
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Create well-formatted commits with conventional commit messages and emojis, with pre-commit checks.
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Analyzes staged changes and generates a commit message that follows the Conventional Commits specification.
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Guide for creating new custom Claude commands with proper structure.
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Troubleshoot issues by analyzing errors, logs, and execution paths to identify root causes.
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Manage project dependencies including updates, security audits, and conflict resolution.
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Generate Mermaid diagrams for visualizing code structure and relationships.
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Intelligently enhances user input by generating a structured task map, refining an ambiguous query, or improving a code snippet.
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Use the ''Five Whys'' root cause analysis technique to deeply understand problems.
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Execute a multi-specialist collaborative analysis where every subagent delegates all substantive work to the three zen tools: mcpzenchat, mcpzenconsensus, and mcpzenanalyze.
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Delegates a given command to the most appropriate specialist agent for managed execution.
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Approach task implementation methodically with careful planning, execution, and best practices.
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Generates a file-aware implementation plan for a new feature or task exclusively through Repoprompt.
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Creates a detailed, file-aware implementation plan for a new feature or task.
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Prime the assistant with comprehensive project understanding by analyzing key files and configurations.
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Generates and compares distinct, viable solutions for a given problem, each with pros and cons, and provides a final recommendation.
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Initialize new projects or configure development environments with best practices.
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Creates a detailed feature specification document.
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Guides the Test-Driven Development (TDD) of a new feature using the Red-Green-Refactor cycle.
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Generates a comprehensive test suite (unit, integration, and E2E) for a given code component, function, or feature.
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You will generate LLM-optimized documentation with concrete file references and flexible formatting.
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Orchestrates the generation of LLM-optimized documentation by spawning specialized subagents for different documentation areas. All analysis is performed on source code, not existing docs.