AI Task Implementation Workflow

소개

This skill provides a domain-agnostic framework for executing implementation tasks within the Plan Marshall orchestration layer for Claude Code. It ensures consistency by enforcing a strict workflow that includes deep context gathering, iterative planning, code modification based on domain-specific patterns, and automated verification. By utilizing a two-tier skill loading system, it combines general implementation logic with specific domain expertise (such as Java or JavaScript) to deliver reliable, production-ready code while recording lessons to prevent repetitive errors and improve future performance.

주요 기능

• Integrated lesson recording for continuous learning and observation tracking
• Two-tier skill loading for combining system workflows with domain-specific expertise
• Iterative verification with up to three automated self-correction attempts
• Domain-agnostic execution compatible with various tech stacks and project conventions
• Automated task state management and real-time progress tracking
• 0 GitHub stars

사용 사례

• Automating the implementation of planned features within complex codebases
• Ensuring consistent coding patterns across polyglot microservices
• Self-healing task execution that fixes unit test failures automatically