the-steward

Route tasks to minimal members and manage context capacity across providers.

2|Updated May 23, 2026
One-click install
npx skills add https://github.com/fworks-tech/agenthood --skill the-steward
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: the-steward
Source: https://github.com/fworks-tech/agenthood/tree/main/members/the-steward
Command: npx skills add https://github.com/fworks-tech/agenthood --skill the-steward

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Steward prevents context overflow by monitoring session capacity and ensuring only the necessary members are loaded.

Core Features & Use Cases

  • Context Gauge: tracks capacity thresholds and suggests deferrals or summaries.
  • Member Routing: computes the minimal set of members to load for a given task.
  • Provider Cache Strategy: tailors loading to each provider's caching rules to maximize efficiency.
  • Session Handoff & Memory Triage: produces handoff documents and saves knowledge before a session ends.

Quick Start

Start a new session by loading only the required members for the current task.

Frequently Asked Questions about the-steward

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

FAQPage Schema
How do I prevent context window overflow during long AI sessions?

To prevent context window overflow, you can route tasks to the minimal required member set and monitor session capacity thresholds to trigger deferrals or summaries before limits are reached.

What is the best way to minimize token usage across different AI providers?

Minimize token usage across different providers by applying provider-aware cache strategies that tailor member loading to each provider's specific caching rules, maximizing efficiency and reducing overhead.

How do I preserve session continuity before hitting memory limits?

Preserve session continuity by performing memory triage and generating session handoff documents to save knowledge before the context window capacity reaches its limits and ends.

How does member routing optimize context management for complex tasks?

Member routing optimizes context management by computing the minimal set of members required for a given task, ensuring only necessary components are loaded into the active context window.

When should I trigger a session handoff to avoid losing conversation context?

You should trigger a session handoff when the context gauge detects that session capacity is nearing its limits, allowing the system to save knowledge and orchestrate a smooth transition.