agentic-executor

Coordinate autonomous multi-file changes with dependency-aware execution and automatic rollback via minimal YAML frontmatter config.

2|Updated Apr 30, 2026
One-click install
npx skills add https://github.com/ialameh/sift-coder --skill agentic-executor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agentic-executor
Source: https://github.com/ialameh/sift-coder/tree/main/skills/agentic-executor
Command: npx skills add https://github.com/ialameh/sift-coder --skill agentic-executor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Reusable capabilities for autonomous multi-file operations, enabling coordinated refactoring, impact analysis, and safe rollback across large codebases.

Core Features & Use Cases

  • Impact analysis to identify affected files and dependencies before changes.
  • Dependency resolution and batched, parallel execution with conflict detection.
  • Safe rollback and preview mode to minimize risk during automated transformations.
  • Use cases include large-scale refactoring, parallel feature work, and safe migrations across modules.

Quick Start

Describe a task to coordinate autonomous multi-file changes with dependency-aware execution and automatic rollback if needed.

Frequently Asked Questions about agentic-executor

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

FAQPage Schema
How do I automate multi-file refactoring without breaking dependencies?

Automated multi-file refactoring requires impact analysis to map affected files and dependencies before execution. This capability coordinates batched, parallel changes with built-in conflict detection to ensure safe, autonomous transformations across large codebases.

What is the safest way to execute large-scale codebase migrations?

Safe codebase migrations require deterministic orchestration with robust recovery mechanisms. This approach applies impact analysis upfront and maintains safe rollback capabilities, allowing you to preview changes and automatically revert if conflicts or errors occur during module migrations.

How does dependency graph analysis work for parallel feature work?

Dependency graph analysis for parallel feature work identifies affected files and resolves dependencies before changes are applied. By mapping these relationships, the system can batch operations, detect conflicts during concurrent execution, and prevent unintended side effects across modules.

Can I preview autonomous code transformations before applying them permanently?

Yes, preview mode allows you to review autonomous code transformations before they are permanently applied. This feature runs impact analysis and dependency resolution to show the projected outcome, minimizing risk and ensuring safe rollback if the proposed changes are undesirable.

Do I need to manually resolve conflicts during autonomous multi-file operations?

Manual conflict resolution is minimized during autonomous multi-file operations because the system automatically detects conflicts during batched, parallel execution. It handles dependency resolution deterministically and will trigger a safe rollback if an unresolvable conflict threatens codebase integrity.

When should I avoid using autonomous refactoring tools on my codebase?

You should avoid autonomous refactoring tools when your codebase lacks clear dependency boundaries or when tasks require complex, context-specific logic that automated impact analysis cannot accurately map. In such cases, deterministic orchestration and safe rollback mechanisms may not prevent unexpected side effects.