drift-recompute

Recompute changed project scope regions and cache dependency graphs for drift detection.

Updated May 11, 2026

Search Tags:#performance #caching #optimization #drift #dependency #harness

Ready to run

npx skills add https://github.com/AesopScott/mojo --skill drift-recompute

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: drift-recompute
Source: https://github.com/AesopScott/mojo/tree/main/harnesses/skills/drift-recompute
Command: npx skills add https://github.com/AesopScott/mojo --skill drift-recompute

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses performance bottlenecks in project scope management by enabling targeted recomputation of changed regions and dependency graph caching.

Core Features & Use Cases

Targeted Recomputation: Updates only the specific scope regions that have changed, preventing unnecessary full-system recalculations.
Dependency Graph Caching: Maintains a current and cheap-to-check state of project boundaries, objectives, and drift signals.
Use Case: When a project scope harness becomes slow or unresponsive due to complex dependency chains, use this skill to isolate and recompute only the affected segments to restore system throughput.

Quick Start

Execute the drift-recompute command to recompute changed scope regions and refresh the dependency graph for the current project harness.

Frequently Asked Questions about drift-recompute

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

FAQPage Schema

How do I optimize project scope performance when dependency chains cause slow harness execution?▼

To optimize project scope performance, you can use targeted recomputation to update only the changed regions and cache dependency graphs. This prevents unnecessary full-system recalculations and restores system throughput.

What is dependency graph caching and how does it maintain efficient drift detection?▼

Dependency graph caching maintains a current and cheap-to-check state of project boundaries, objectives, and drift signals. It avoids expensive full-project recalculations by storing the dependency state for quick validation.

Can I use targeted recomputation for performance optimization within system configuration harnesses?▼

Yes, targeted recomputation applies directly to performance optimization tasks within project management and system configuration harnesses. It isolates affected segments to maintain efficient state synchronization.

Why does project scope management become unresponsive and what is the best way to fix it?▼

Project scope management becomes unresponsive due to complex dependency chains triggering full-system recalculations. The best way to fix it is isolating and recomputing only the affected segments using dependency graph caching.

What are the limitations of recomputing changed scope regions for drift detection?▼

The main limitation of recomputing changed scope regions is the requirement for precise identification of scope boundaries and specific control levers to ensure accurate state synchronization.