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context-preserve

Store session context as structured notes when nearing capacity thresholds.

Updated Jan 15, 2026
Search Tags:#automation#LLM#memory-management#context-window#session-memory#context-preservation
One-click install
npx skills add https://github.com/whiteboardev/brainy.chat --skill context-preserve
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: context-preserve
Source: https://github.com/whiteboardev/brainy.chat/tree/main/.opencode/skills/context-preserve
Command: npx skills add https://github.com/whiteboardev/brainy.chat --skill context-preserve

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automatically saves and preserves the current chat session context before the context window fills, ensuring seamless resumption and continuity.

Core Features & Use Cases

  • Automatic context capture at defined thresholds, including objective, progress, decisions, blockers, and next steps.
  • Deterministic storage of session memories as notes, enabling quick restoration and continuity across sessions.
  • Use case: In long-running conversations or brainstorming sessions, the Skill preserves essential context so you can resume later without loss.

Quick Start

To enable preservation, run the provided scripts when the context nears capacity and choose a quick or full preservation level.

Frequently Asked Questions about context-preserve

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

FAQPage Schema
How do I preserve chat context when the LLM context window fills?▼

To preserve chat context when the context window fills, you can use automated scripts that trigger at configurable thresholds to capture session memory and store it with metadata for later retrieval.

How does session memory management work for long-running LLM conversations?▼

Session memory management for long-running LLM conversations works by automatically capturing objectives, progress, decisions, and blockers as structured notes before the context window fills, enabling seamless resumption.

Can I automatically save session context for brainstorming sessions across platforms?▼

Yes, you can automatically save session context for brainstorming sessions across platforms by running preservation scripts that store session memories deterministically as notes for quick restoration and continuity.

What is the best way to restore chat context after hitting the context window limit?▼

The best way to restore chat context after hitting the limit is retrieving structured session memories with metadata that were previously stored, allowing you to resume long-running conversations without losing essential information.

When should I trigger context preservation during a long-running chat session?▼

You should trigger context preservation during a long-running chat session when the context nears capacity, utilizing configurable thresholds to automatically evaluate and store memory before the context window completely fills.

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