◈ Skill RegistryExplore skills
← Back to search
context-management · Found in 2 repositories

context-optimization

Apply compaction, masking, and caching strategies to optimize context windows. Use when reducing token usage or improving LLM context efficiency.

View source: bcastelino/agent-skills-kit ↗

Install from source

Install using Skill Manager:

sk install https://github.com/bcastelino/agent-skills-kit/tree/main/skills/context-optimization/SKILL.md

Source-path status is inferred from metadata; it does not verify a live download. Scan and quality scores describe registry checks and are not a guarantee of safety.

Attribution and permissions

Check the original repository for permission and license terms before reuse. Registry metadata does not grant a license.

This guide links to the author’s instructions and includes metadata only.

Request removal or correct attribution

Copies with matching content

Exact Markdown body copies across 2 repositories. This count does not identify the original author.

More in context-management

strategic-compactSuggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.agentdb-memory-patternsImplement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use whensession-logsYour own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞agent-memory-mcpA hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).