Guide new team members through Trellis AI workflow onboarding with structured sessions.
npx skills add https://github.com/Jerry-Z07/WindBoard --skill onboard-jerry-z07
Please help me install this Agent Skill. Skill: onboard Source: https://github.com/Jerry-Z07/WindBoard/tree/main/.agents/skills/onboard Command: npx skills add https://github.com/Jerry-Z07/WindBoard --skill onboard-jerry-z07
Onboarding new team members to the Trellis AI-assisted workflow system efficiently, ensuring rapid knowledge transfer, session memory, and alignment with project guidelines.
Ask the onboarding AI to walk you through the three parts and tailor guidelines to your project.
High-intent search queries and answers about installing and using this skill.
To onboard new team members to an AI-assisted workflow, guide them through a structured three-part flow covering core philosophy, system structure, and guideline customization to ensure rapid knowledge transfer and alignment.
Initialize session memory for AI assistants using the memory kickoff mechanism, which captures project context and ensures the AI remains aligned with team standards throughout the development session.
The best way to inject project-specific guidelines into an AI workflow is using a guideline-injection mechanism that automatically applies your customized rules before development begins, preventing workflow drift.
Yes, you can use this onboarding flow for any Trellis-powered project where AI assistants require session memory, project-specific guidelines, and cross-layer checks to stay aligned with team standards.
Prevent AI workflow drift by running drift checks during your development cycle to verify that the AI assistant remains aligned with the injected project-specific guidelines and team standards.
Persist AI session memory after a development task by recording the session, which saves the context and outcomes to maintain continuity for future AI-assisted interactions within the workflow.
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