dots-workstation-workflow-client-bootstrap

Capture client delivery contexts and generate workflow files via structured interviews.

2|3|Updated Apr 7, 2026

Search Tags:#client management #project onboarding #contextualization #workflow configuration #agentic-workstation

One-click install

npx skills add https://github.com/ulises-jeremias/agentic-workstation --skill dots-workstation-workflow-client-bootstrap

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: dots-workstation-workflow-client-bootstrap
Source: https://github.com/ulises-jeremias/agentic-workstation/tree/main/home/dot_local/share/agentic-workstation/skills/dots-workstation-workflow-client-bootstrap
Command: npx skills add https://github.com/ulises-jeremias/agentic-workstation --skill dots-workstation-workflow-client-bootstrap

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, yaml, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill facilitates setting up a unique client-specific delivery context for agentic-workstation projects, streamlining the onboarding and management of client workflows.

Core Features & Use Cases

Client Context Creation: Configure and store project-specific settings and contexts.
Structured Interview: Conduct a guided interview to capture client delivery requirements.
Workflow Customization: Customize workflows based on client-specific ticket statuses and gateways.
Use Case: Onboard a new client project with its unique workflow requirements, including ticket systems, environments, and technical stack configurations.

Quick Start

Run the dots-workstation-workflow-client-bootstrap skill to initiate the client context setup for your project.

Frequently Asked Questions about dots-workstation-workflow-client-bootstrap

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

FAQPage Schema

How do I set up a client-specific delivery context for project onboarding?▼

Setting up a client-specific delivery context involves capturing project-specific settings, ticket statuses, and environments through a structured interview process to generate tailored workflow files.

What is a structured interview for workflow configuration?▼

A structured interview for workflow configuration is a guided process that captures client delivery requirements, technical stacks, and ticket systems to automate the generation of YAML files.

Do I need Python and YAML to configure agentic-workstation contexts?▼

Yes, you need Python and YAML processing to manage and store contextual data when configuring agentic-workstation contexts for new project onboarding or workspace updates.

Can I update an existing workspace's client management settings?▼

Yes, you can update existing workspace client management settings by running the bootstrap process to re-evaluate delivery requirements and regenerate the contextual configuration files.