Load workflow guides, git status, and project context to initialize AI development sessions.
npx skills add https://github.com/SilentFlower/flower-cli --skill start-silentflower
Please help me install this Agent Skill. Skill: start Source: https://github.com/SilentFlower/flower-cli/tree/main/.agents/skills/start Command: npx skills add https://github.com/SilentFlower/flower-cli --skill start-silentflower
Developers often waste time manually gathering workflow guides, project specifications, git status, and active tasks before an AI assistant can start helping effectively. This Skill automates that context collection and prepares the AI to understand the current development environment.
.trellis/workflow.md, developer identity, git status, and guideline indexes to build a complete session picture.Invoke the start skill to set up context and prompt the AI for the next task.
High-intent search queries and answers about installing and using this skill.
Initializing an AI development session requires loading workflow guides, developer identity, git status, and project guidelines. This context collection prepares the AI to understand your current development environment and active tasks.
Loading project context involves reading `.trellis/workflow.md`, developer identity, git status, and guideline indexes. This builds a complete session picture, automating context collection so the AI can assist effectively without manual setup.
AI task classification analyzes user-described tasks and directs them to brainstorm, direct edit, or the full task workflow automatically. This routing happens within the `.trellis` environment based on the task requirements.
You need comprehensive context loading when resuming an interrupted coding session, starting a new task, or switching tasks. This re-establishes project context, ensuring the AI assistant understands the current development environment.
Session initialization works by automating context collection, eliminating the need to manually gather workflow guides, project specifications, git status, and active tasks. The AI reads these directly to build a complete session picture.
Task classification and routing within the `.trellis` environment is the process of analyzing user-described tasks and automatically directing them to brainstorm, direct edit, or structured task workflows based on their requirements.
EcoPasteHubInitialize a development session by extracting workflow guides and classifying tasks.
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mihai-chioreanAggregate Git, GitHub, and Linear data into a persistent STATUS.md file.
LinnkidChenInitializes AI development sessions by gathering repository context and routing tasks.