loop-executor

Automates sequential execution of verified plans with TDD integration and automatic commits.

371|38|Updated Feb 17, 2026
One-click install
npx skills add https://github.com/Ibrahim-3d/conductor-orchestrator-superpowers --skill loop-executor-ibrahim-3d
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: loop-executor
Source: https://github.com/Ibrahim-3d/conductor-orchestrator-superpowers/tree/main/skills/loop-executor
Command: npx skills add https://github.com/Ibrahim-3d/conductor-orchestrator-superpowers --skill loop-executor-ibrahim-3d

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Implements end-to-end execution of a verified plan by automatically writing code, updating plan progress after each task, and committing changes at checkpoints.

Core Features & Use Cases

  • Sequentially execute tasks from plan.md, write code, and update plan.md after each completed task.
  • Integrates with TDD workflows to validate business logic during execution.
  • Provides deterministic task progression across tracks with automatic commits and traceability.
  • Use case: When a track plan is prepared and evaluated, this agent drives the build phase to implementation and documentation updates.

Quick Start

Trigger the loop-executor by issuing the Conductor command to execute the current verified plan and begin the execution loop.

Frequently Asked Questions about loop-executor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automatically execute tasks from a plan and update plan.md after each step?

To automatically execute plan tasks and update plan.md, you need a deterministic execution loop that sequentially processes verified plans, writes code, marks tasks complete, and commits changes at checkpoints for traceable progress.

What is deterministic plan execution in software engineering?

Deterministic plan execution is the automated end-to-end process of driving implementation by writing code, validating acceptance criteria, updating plan.md documentation, and committing changes for traceable task progression.

Does automated code generation from a plan work with TDD workflows?

Automated code generation from a plan works with TDD workflows by integrating Test-Driven Development to validate business logic during implementation and applying safeguards for evaluation gaps before committing.

How do I maintain traceability when automatically generating code from a project plan?

To maintain traceability during automatic code generation, the execution protocol marks tasks in plan.md, validates acceptance criteria, updates documentation after each task, and commits changes at designated checkpoints.

Can I use a verified plan to drive automated code generation and version control commits?

You can use a verified plan to drive automated code generation and version control commits. The executor sequentially processes tasks, writes code, and commits changes at checkpoints to ensure deterministic task progression.

What are the limitations of automated plan execution when acceptance criteria are missing?

When acceptance criteria are missing during automated plan execution, the system applies safeguards for evaluation gaps. Without validated criteria, the execution loop cannot fully verify generated business logic before committing.