ctx-reflect

Summarize session progress and extract learnings, decisions, tasks, and notes for persistence.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Pause and reflect on this session to identify what context is valuable to persist, ensuring continuity across future work.

Core Features & Use Cases

  • Facilitates structured retrospection at natural breakpoints or task transitions.
  • Produces a concise summary of learnings, decisions, tasks, and notes suitable for persistence.
  • Provides a clear prompt to guide AI agents in capturing and organizing session context for reuse.

Quick Start

Prompt the AI to review the current session and output items to persist, including learnings, decisions, tasks, and notes.

Frequently Asked Questions about ctx-reflect

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

FAQPage Schema
How do I persist session context and capture learnings for future AI tasks?

To persist session context, you can prompt the AI to review your current work and extract actionable learnings, decisions, tasks, and notes into a structured snapshot for reuse across future tasks.

What is the best way to summarize session progress before shifting tasks?

Summarizing session progress involves a structured retrospection at natural breakpoints to identify valuable context, producing a concise outline of items to persist and concrete commands to save them.

How do I save AI decisions and notes to ensure continuity across work sessions?

You can save AI decisions and notes by prompting the AI to output a session snapshot outline that organizes these items, providing concrete commands or files to save them for continuity.

When do I need to reflect on and extract actionable tasks from my current session?

You need to reflect and extract actionable tasks at natural breakpoints, after significant changes, or when shifting tasks to ensure continuity and persist valuable context across sessions.

Does structured session reflection work without external dependencies?

Yes, structured session reflection works without external dependencies, using a clear prompt to guide AI agents in capturing and organizing session context entirely within your existing environment.

What are the limitations of relying on manual session context persistence?

The main limitation is that manual persistence requires prompting the AI at specific breakpoints; if you forget to trigger the reflection, valuable learnings, decisions, and notes may be lost.