Onboard developers to an AI-assisted Trellis workflow with project context and guidelines.
npx skills add https://github.com/Lin117-shygo/ros_car --skill onboard-lin117-shygo
Please help me install this Agent Skill. Skill: onboard Source: https://github.com/Lin117-shygo/ros_car/tree/main/.agents/skills/onboard Command: npx skills add https://github.com/Lin117-shygo/ros_car --skill onboard-lin117-shygo
Onboard new developers to an AI-assisted Trellis workflow by embedding project-specific memory and guidelines so the AI can maintain memory across sessions and teams.
Review Parts 1–3, complete the guided onboarding, then run the record-session command to save your progress.
High-intent search queries and answers about installing and using this skill.
To onboard new developers to an AI-assisted workflow, this Skill captures project context, rules, and best practices so the AI maintains memory across sessions. It injects guidelines before coding and records session history for future alignment.
The best way to maintain AI memory across sessions is by recording session history and embedding project-specific guidelines. This ensures the AI retains learnings and progress, applying consistent behavior across planning, coding, and reviewing tasks.
You inject project-specific guidelines before coding by completing the guided onboarding process. The system then applies these rules across planning and maintenance tasks, re-checking for drift after changes to ensure alignment with team standards.
Yes, the onboarding process works for planning, coding, reviewing, and maintenance tasks. It applies structured context injection and re-checks for drift after changes, ensuring consistent behavior and alignment with team standards across the entire development lifecycle.
The structured onboarding includes three parts: Core Concepts, Real-World Examples, and Customization Guidelines. After reviewing these parts and completing the guided onboarding, you run the record-session command to save your progress.
Your AI assistant loses project context between development sessions because it lacks embedded memory. This Skill solves that by recording session history and capturing project rules, allowing the AI to maintain context and consistent behavior for future sessions.
MrlykCollect design context and persist it in the AI configuration.
primatrixCreate session history logs capturing user questions and assistant answers.
SDDKKKInitialize Trellis AI workflow structures in a Node.js project.
Jerry-Z07Guide new team members through Trellis AI workflow onboarding with structured sessions.
