context-setup

Scaffold a client-specific AI context repository with gated dependency sequencing.

29|12|Updated Mar 30, 2026
One-click install
npx skills add https://github.com/matteotitta/genesys-skills --skill context-setup
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: context-setup
Source: https://github.com/matteotitta/genesys-skills/tree/main/skills/meta/orchestration/context-setup
Command: npx skills add https://github.com/matteotitta/genesys-skills --skill context-setup

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the ad-hoc, inconsistent nature of setting up client-specific AI context environments, ensuring a repeatable and high-quality delivery for high-ticket consulting engagements.

Core Features & Use Cases

  • Locked Dependency Sequencing: Enforces a strict, gated order for building the client's context spine, ensuring foundational work is verified before moving to execution.
  • Automated Repo Generation: Scaffolds a complete, production-ready client context repository, including workspace, skills, and agent configurations.
  • Traceable Evidence Mapping: Integrates citation requirements to ensure all AI-generated outputs are verifiable and defensible for regulated clients.

Quick Start

Run the context-setup skill to build the full context OS for the client named AcmeCorp.

Frequently Asked Questions about context-setup

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

FAQPage Schema
How do I automate client context scaffolding for GTM consulting engagements?

Automate client context scaffolding by orchestrating an end-to-end build of a structured, versioned AI context repository. This enforces sequential task gating to ensure foundational work is verified before execution, generating a production-ready workspace for high-value consulting.

What is dependency-gated development for an AI context repository?

Dependency-gated development is a strict sequencing mechanism that locks the build order of a client's context spine. It ensures foundational repository tasks are fully verified before progressing, preventing out-of-order execution during consulting delivery.

How do I ensure AI-generated outputs are verifiable for regulated clients?

Ensure AI outputs are verifiable by integrating traceable evidence mapping with citation requirements into the context repository. This binds generated outputs to defensible sources, satisfying compliance needs for regulated clients.

Can I generate a production-ready folder structure for client agent configurations?

Yes, you can generate a complete client context repository that includes automated folder structures, workspace areas, skills, and agent configurations. This scaffolding delivers a production-ready environment for immediate deployment.

When do I need a structured context build for high-ticket consulting?

You need a structured context build when high-value consulting engagements require a repeatable, high-quality delivery process. It replaces ad-hoc AI environment setups with a versioned, verifiable knowledge base.