context-engineering-orchestrator

Route context-engineering requests to the appropriate specialized workflow.

7|2|Updated Mar 5, 2026
One-click install
npx skills add https://github.com/AndurilCode/craftwork --skill context-engineering-orchestrator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: context-engineering-orchestrator
Source: https://github.com/AndurilCode/craftwork/tree/main/plugins/craftwork-context-engineering/skills/context-engineering-orchestrator
Command: npx skills add https://github.com/AndurilCode/craftwork --skill context-engineering-orchestrator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It eliminates the uncertainty and trial-and-error of choosing the correct context-engineering workflow by routing your request to the appropriate specialized skill.

Core Features & Use Cases

  • Intent-based Skill Routing: Automatically selects the best next skill based on what you’re trying to accomplish with agent context.
  • Debugging and Measurement Pathways: Covers diagnosing failures, finding missing context, and validating improvements via evaluation.
  • Documentation and Context Window Design: Supports creating instruction files, generating llms.txt-style references, and designing context coverage.

Quick Start

Ask an AI assistant to run context-engineering-orchestrator to route your goal—such as debugging an agent failure caused by missing or mis-specified context—into the right follow-on skill.

Frequently Asked Questions about context-engineering-orchestrator

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

FAQPage Schema
How do I fix an LLM agent failure caused by missing or mis-specified context?

To fix an agent failure caused by missing context, this skill routes your request to a specialized debugging workflow that diagnoses the issue and applies the correct context-engineering methodology.

What is the best way to create instruction files and llms.txt references for AI agents?

Creating instruction files and llms.txt references is handled by routing your request to a specialized documentation workflow that builds and audits agent context coverage.

How do I measure and validate improvements to an agent's context window?

Measuring context improvements involves routing your goal to a context-eval measurement cycle, which validates changes by applying the chosen skill's evaluation methodology.

Can I use this to manage token budgeting and compress context for my LLM?

Yes, you can manage token budgeting by routing your request to a specialized compression workflow that executes the appropriate context-engineering skill without automatically chaining follow-ups.

Do I need to manually select a workflow for context window design and debugging?

No, you do not need to manually select a workflow; the orchestrator automatically matches your intent to a registry of skills and executes the chosen skill's methodology for you.