afx-context

Save and load context bundles for AI agent session handoff.

19|1|Updated Apr 4, 2026
One-click install
npx skills add https://github.com/AgenticFlowX/agenticflowx --skill afx-context
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: afx-context
Source: https://github.com/AgenticFlowX/agenticflowx/tree/main/apps/vscode/resources/skills/agenticflowx/afx-context
Command: npx skills add https://github.com/AgenticFlowX/agenticflowx --skill afx-context

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires git, bash, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the transfer of detailed context between AI agent sessions, enabling uninterrupted work continuity and enhancing human agent recall of past sessions.

Core Features & Use Cases

  • Session Context Transfer: Saves and loads detailed context bundles for AI agent handoff and recall.
  • Spec Evolution Tracking: Monitors and displays the evolution of feature specifications over time.
  • Cross-Feature Impact Analysis: Analyzes the impact of changes across different features in the codebase.
  • Use Case: For developers working on a large project with multiple features, this Skill ensures that the transition between different agents or human reviewers is seamless, with all necessary context readily available.

Quick Start

Run the command /afx-context save to generate a context bundle for the current session.

Frequently Asked Questions about afx-context

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

FAQPage Schema
How do I transfer AI session context between different development agents?

You can transfer AI session context by running /afx-context save to generate a detailed bundle. This context bundle captures session history, architectural decisions, and task statuses, enabling uninterrupted work continuity and seamless handoff between different AI agents or human reviewers.

How do I track feature specification evolution during AI-assisted software development?

Tracking feature specification evolution is handled automatically through context management. The skill monitors and displays the evolution of feature specifications over time, ensuring that all architectural decisions and task statuses are preserved for accurate recall during cross-feature impact analysis.

Can I analyze cross-feature codebase impact using saved session context bundles?

Yes, you can analyze cross-feature codebase impact using saved session context bundles. The skill analyzes the impact of changes across different features in your codebase, ensuring developers understand architectural decisions and task statuses before transitioning between AI agents or human reviewers.

What prerequisites do I need for AI workflow session continuity and context preservation?

You need git and bash environments installed to support context preservation and transfer for AI-assisted software development. These dependencies allow the scripts and references components to automate the creation, storage, and retrieval of detailed context bundles for collaborative AI workflows.

When do I need to automate context preservation for large project codebase analysis?

You need to automate context preservation when working on a large project with multiple features and transitioning between AI agents. It ensures that session continuity is maintained, capturing architectural decisions and task statuses so human reviewers have all necessary context readily available.