cursor-context-management

@jeremylongshore/cursor-context-management

jeremylongshore

1,004

123 forks

Updated 1/18/2026

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Optimize context window usage in Cursor. Triggers on "cursor context", "context window", "context limit", "cursor memory", "context management". Use when working with cursor context management functionality. Trigger with phrases like "cursor context management", "cursor management", "cursor".

Installation

$skills install @jeremylongshore/cursor-context-management

Claude Code

Cursor

Copilot

Codex

Antigravity

Details

Repositoryjeremylongshore/claude-code-plugins-plus-skills

Pathplugins/saas-packs/cursor-pack/skills/cursor-context-management/SKILL.md

Branchmain

Scoped Name@jeremylongshore/cursor-context-management

Usage

After installing, this skill will be available to your AI coding assistant.

Verify installation:

skills list

Skill Instructions

name: "cursor-context-management" description: | Optimize context window usage in Cursor. Triggers on "cursor context", "context window", "context limit", "cursor memory", "context management". Use when working with cursor context management functionality. Trigger with phrases like "cursor context management", "cursor management", "cursor". allowed-tools: "Read, Write, Edit, Bash(cmd:*)" version: 1.0.0 license: MIT author: "Jeremy Longshore jeremy@intentsolutions.io"

Cursor Context Management

Overview

This skill helps optimize context window usage in Cursor. It covers understanding context sources, efficient @-mention strategies, conversation management, and techniques to avoid context overflow for better AI response quality.

Prerequisites

Cursor IDE with AI features active
Understanding of context window limits
Project with code files
Familiarity with @-mention syntax

Instructions

Understand your model's context limit
Select only relevant code before chatting
Use specific @-mentions for file context
Start new conversations for new topics
Monitor response quality for context issues
Clear context when switching tasks

Output

Optimized context usage
Better AI response quality
Faster response times
Efficient @-mention patterns
Clean conversation management

Error Handling

See {baseDir}/references/errors.md for comprehensive error handling.

Examples

See {baseDir}/references/examples.md for detailed examples.

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