ctx-agent

Load the full project context packet at session start.

74|14|Updated Jan 20, 2026
One-click install
npx skills add https://github.com/ActiveMemory/ctx --skill ctx-agent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ctx-agent
Source: https://github.com/ActiveMemory/ctx/tree/main/internal/tpl/claude/skills/ctx-agent
Command: npx skills add https://github.com/ActiveMemory/ctx --skill ctx-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a reliable way to load the complete project context into the AI session, ensuring continuity across tasks and reducing setup time.

Core Features & Use Cases

  • Bootstrap AI with the full context packet at session start or after context switches.
  • Maintain continuity across sessions by rehydrating previous decisions and learnings.
  • Guide reading of essential context files in the recommended order to follow project conventions.

Quick Start

Load the full context packet at session start to ensure AI has complete context.

Frequently Asked Questions about ctx-agent

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

FAQPage Schema
How do I load full project context into an AI session to ensure continuity?

To load full project context into an AI session, apply the context loading agent at the start of the session. It rehydrates previous decisions and learnings by reading essential context files in the recommended order to ensure continuity across tasks.

What is context rehydration and when do I need it for AI consumption?

Context rehydration is the process of loading the complete context packet into an AI session. You need it at session start, when context seems stale, or during area transitions to ensure the AI maintains continuity and follows project conventions.

How do I restore AI session context after switching work areas?

To restore AI session context after switching work areas, apply the context agent during area transitions. It guides the reading of essential context files and requires confirmation that these files have been read before proceeding with the new tasks.

Can I configure the context budget and output format for AI session loading?

Yes, you can configure the context budget and output format for AI session loading. The context agent respects configurable budget limits, output formats, and cooldown behavior to manage how the full context packet is loaded for consumption.

What are the limitations of using an agent to load context at session start?

A limitation of using an agent to load context at session start is that it requires confirmation that required context files have been read before proceeding. It also operates under configurable budget constraints and cooldown behavior to manage loading.