strategic-compact

Recommend manual session compaction at logical workflow boundaries.

2|Updated Jul 1, 2026
One-click install
npx skills add https://github.com/CDO-07-New/TF4-AIO-03-foresight-lens-final --skill strategic-compact-cdo-07-new
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: strategic-compact
Source: https://github.com/CDO-07-New/TF4-AIO-03-foresight-lens-final/tree/main/.agents/skills/strategic-compact
Command: npx skills add https://github.com/CDO-07-New/TF4-AIO-03-foresight-lens-final --skill strategic-compact-cdo-07-new

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you choose when to compact long AI sessions so important context is preserved at logical boundaries instead of being lost mid-task.

Core Features & Use Cases

  • Recommends manual compaction after research, after major milestones, and before switching to a new task phase.
  • Uses session context growth and tool-call volume to surface timely reminders during long, multi-step work.
  • Fits workflows like research, planning, implementation, debugging, and other extended sessions where continuity matters.

Quick Start

Use the strategic-compact skill to tell me the best point in this session to compact and what context I should preserve.

Frequently Asked Questions about strategic-compact

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

FAQPage Schema
When should I compact long AI sessions to avoid losing context?

Long AI sessions should be compacted at logical boundaries like after research, major milestones, or before switching task phases to preserve useful context and avoid mid-task drift.

How does session compaction decide the best time to trigger?

Session compaction decides the optimal time by tracking context-size awareness and tool-call volume against configurable thresholds, surfacing hook-based reminders that recommend manual compaction at logical boundaries.

How do I manage context growth during multi-phase workflows?

Manage context growth during multi-phase workflows by tracking tool-call volume and using hook-based reminders to trigger manual compaction at logical boundaries, preserving important context for the next phase.

Can I use configurable thresholds to control when compaction reminders appear?

Yes, configurable thresholds allow you to control when compaction reminders appear by setting limits on session context growth and tool-call volume during extended debugging or implementation sessions.

What is the best way to prevent mid-task drift in long research sessions?

The best way to prevent mid-task drift in long research sessions is to apply strategic compaction at logical boundaries, ensuring the AI retains critical context without exceeding memory limits.