Onboard new developers to the Trellis workflow system.
npx skills add https://github.com/alleneee/topsport-agent --skill onboard-alleneee
Please help me install this Agent Skill. Skill: onboard Source: https://github.com/alleneee/topsport-agent/tree/main/.agents/skills/onboard Command: npx skills add https://github.com/alleneee/topsport-agent --skill onboard-alleneee
Interactive three-part onboarding for new team members to the Trellis AI-assisted workflow system. Covers core philosophy (AI memory, project-specific knowledge, context drift), system structure and command deep-dives, real-world workflow examples, and guideline customization. Use when a new developer joins the project, someone needs to understand the Trellis workflow, or project guidelines need initial setup.
.trellis/spec/ and how to update them.Initiate onboarding by running the guided skill to walk a new member through core concepts, examples, and guideline customization.
High-intent search queries and answers about installing and using this skill.
Onboard new developers by running a guided three-part process covering core AI memory concepts, real-world workflow examples, and project-specific guideline customization to ensure alignment.
Context drift occurs when an AI loses project-specific knowledge during a session. This workflow handles it through memory restoration and ongoing check-and-record mechanisms that maintain alignment.
Set up project-specific guidelines by evaluating and filling configuration files in the `.trellis/spec/` directory, then learning how to update them to maintain specialized knowledge injection.
Yes, existing engineers can use the onboarding to understand the system structure through command deep-dives and real-world workflow examples, restoring their memory of core project philosophy.
The guided onboarding checklist requires completion of all three parts, including manual guideline customization in `.trellis/spec/`, to effectively prevent context drift and maintain session alignment.
tduck1equackGuide new team members through AI-assisted onboarding with Trellis spec files.
yanzhangshuaiPersist AI session state and inject project guidelines into Trellis workflows.
matteotittaExtract insights, decisions, and corrections from conversation sessions to update memory files.
BingChanCNOnboard new team members to AI-assisted project workflows.