moai-foundation-context

Manage context window size and token budget allocation for Claude Code workflows.

3|Updated Feb 18, 2026

Search Tags:#context management #multi-agent #context window #session state #token budget

Ready to run

npx skills add https://github.com/rodmena-limited/trust5 --skill moai-foundation-context-rodmena-limited

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: moai-foundation-context
Source: https://github.com/rodmena-limited/trust5/tree/main/trust5/assets/claude/skills/moai-foundation-context
Command: npx skills add https://github.com/rodmena-limited/trust5 --skill moai-foundation-context-rodmena-limited

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires moai-foundation-core, moai-foundation-trust, moai-cc-memory, moai-cc-configuration, moai-core-workflow, moai-cc-agents, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the challenges of managing large context windows and token budgets in multi-agent workflows, ensuring efficient and effective collaboration between agents.

Core Features & Use Cases

Context Window Management: Dynamically adjusts the context window size based on token usage.
Token Budget Allocation: Manages token budgets for different components of the workflow.
Session State Persistence: Saves and restores session state across interruptions.
Multi-Agent Handoff: Facilitates seamless context transfer between agents.
Use Case: Ideal for workflows that require complex collaboration, such as large-scale code development or analysis.

Quick Start

Initialize a new session and run the workflow: trust5 init . && trust5 develop "Implement a complex analysis of customer data."

Frequently Asked Questions about moai-foundation-context

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

FAQPage Schema

How do I manage token budget allocation for multi-agent workflows?▼

Token budget allocation for multi-agent workflows is managed by dynamically adjusting the context window size and distributing token limits across different workflow components. This ensures efficient collaboration and prevents context overflow during execution.

What is the best way to maintain session state persistence during multi-agent handoffs?▼

Session state persistence for multi-agent handoffs is maintained by saving and restoring the session context across interruptions. This facilitates seamless context transfer between agents, preserving the workflow state without data loss.

Can I use this to optimize context window size for Claude Code workflows?▼

Yes, context window size for Claude Code workflows is optimized by dynamically adjusting based on real-time token usage. This requires integration with Claude Code and related MoAI components to function effectively.

Do I need specific dependencies to handle context window management for complex code development?▼

Yes, effective context window management for complex workflows requires integrating moai-foundation-core, moai-foundation-trust, and moai-cc-memory. These dependencies provide the necessary session state and configuration infrastructure.

Why does context transfer fail when running large-scale analysis with multiple agents?▼

Context transfer fails during large-scale analysis when the token budget is exhausted or the context window size is improperly allocated. Optimizing context usage and token allocation prevents these multi-agent handoff interruptions.

When do I need dynamic context window adjustment in multi-agent systems?▼

Dynamic context window adjustment is needed when multi-agent workflows experience fluctuating token demands during complex tasks. It optimizes context usage to ensure efficient collaboration across large-scale code development and analysis.