Trains users on interacting with Large Language Models in a sandboxed environment.
npx skills add https://github.com/SilentFlower/flower-cli --skill onboard-silentflower
Please help me install this Agent Skill. Skill: onboard Source: https://github.com/SilentFlower/flower-cli/tree/main/.agents/skills/onboard Command: npx skills add https://github.com/SilentFlower/flower-cli --skill onboard-silentflower
New developers and contributors often lack the project-specific context, working memory, and checklist-driven verification needed to collaborate safely and efficiently with AI-assisted workflows. This Skill compresses essential onboarding — core philosophy, system structure, and operational skills — into a reproducible session so the team can align conventions, avoid context drift, and persist session knowledge for future AI sessions.
Ask the onboard skill to run a complete three-part onboarding and check or populate the .trellis/spec guidelines for this repository.
High-intent search queries and answers about installing and using this skill.
Onboarding new developers to an AI-assisted workflow system involves teaching core philosophy, demonstrating real-world workflows step-by-step, and verifying project-specific guidelines. This process ensures team members understand AI memory, context drift, and safe verifiable practices.
Context drift in AI-assisted development occurs when an AI loses project-specific knowledge during a session. You prevent it by establishing core philosophy, using checklist-driven verification, and recording session summaries to restore context for future workflows.
Setting up .trellis/spec guideline files involves checking existing templates and filling in project-specific conventions. This creates tracked tasks to populate guideline files, making your AI guidance project-aware and ensuring safe collaboration.
Yes, you can customize developer guidelines for AI-assisted development workflows. The onboarding process checks .trellis/spec templates, guides filling project-specific conventions, and helps create tracked tasks so AI guidance becomes project-aware.
You need to record session summaries for AI workflows when persisting knowledge for future sessions. This ensures that future $start sessions can restore context, preventing information loss and maintaining working memory for new developers.
Onboarding for the Trellis workflow does not require prior context management experience. It walks new team members through core philosophy, system architecture, and skill-by-skill deep dives, compressing essential onboarding into a reproducible session.
lihaoze123Initialize coding sessions by loading project context and routing workflows.
anorthamRestore session context from persistent memory at coding session start.
NguyenSiTrungTrack task dependencies and persistent memory across AI agent sessions.
Coffelix2023Generate inline code documentation, API specifications, and developer guides.
