What makes Deep Executor different from standard execution?

Unlike standard modes, Deep Executor performs thorough initial exploration and mandates a verification phase including builds and tests before marking a task as complete.

Does Deep Executor require manual oversight?

It is designed to be highly autonomous, managing its own planning and verification. However, it provides a full evidence report upon completion for your final review.

Which AI model powers the Deep Executor skill?

Deep Executor is optimized to work with high-reasoning models like Claude 3 Opus to ensure the highest quality of planning and execution for complex tasks.

Can Deep Executor run tests automatically?

Yes, one of the core pillars of Deep Executor is the 'Verify' phase, where it runs builds, tests, and diagnostics to ensure the implementation is correct.

When should I use Deep Executor instead of the standard mode?

Use Deep Executor for complex, multi-file tasks or refactors where the solution isn't immediately obvious and requires strategic planning. For simple fixes, standard modes are more token-efficient.

Deep Executor

Name: Deep Executor
Author: Yeachan-Heo

byYeachan-Heo

•

4,261

생산성 및 워크플로

Automates complex, multi-file software engineering tasks through autonomous exploration, strategic planning, and verified execution.

소개

Deep Executor is a high-autonomy skill designed for Claude Code that tackles intricate, goal-oriented engineering challenges without manual intervention. By following a structured Explore-Plan-Execute-Verify workflow, it handles everything from large-scale refactors to implementing features with unclear paths, ensuring every change is validated through builds and tests before completion. It is the ideal mode for developers who need guaranteed results on high-stakes tasks that span across multiple files and directories, utilizing advanced tools like ast_grep and integrated diagnostics to ensure code integrity.

주요 기능

Autonomous problem exploration using advanced search tools like ast_grep
Integrated verification via automated builds and diagnostic checks
4,261 GitHub stars
Strategic multi-step planning based on deep codebase context
Direct code modification across multiple files and directories
Full task completion guarantee with evidence-based reporting

사용 사례

Implementing new features where the implementation path is initially unclear
Performing complex, multi-file architectural refactoring
Resolving high-priority bugs that require deep codebase analysis and verification

소개

주요 기능

Autonomous problem exploration using advanced search tools like ast_grep
Integrated verification via automated builds and diagnostic checks
4,261 GitHub stars
Strategic multi-step planning based on deep codebase context
Direct code modification across multiple files and directories
Full task completion guarantee with evidence-based reporting

사용 사례

Implementing new features where the implementation path is initially unclear
Performing complex, multi-file architectural refactoring
Resolving high-priority bugs that require deep codebase analysis and verification