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lets-start

Orchestrate deterministic session startup with inbox checks, board review, knowledge audit, and intent declaration.

4|Updated Apr 2, 2026
Search Tags:#inbox#startup#session#kanban#intent#board
One-click install
npx skills add https://github.com/AgileSmagile/smagile-agentic-kanban-blueprint --skill lets-start
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: lets-start
Source: https://github.com/AgileSmagile/smagile-agentic-kanban-blueprint/tree/main/skills/lets-start
Command: npx skills add https://github.com/AgileSmagile/smagile-agentic-kanban-blueprint --skill lets-start

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Ensures a consistent, safe, and context-preserving session startup for AI agents operating a Kanban-driven workflow, preventing premature work pulls and misaligned state between sessions.

Core Features & Use Cases

  • Inbox prep: checks for agent-to-agent messages and resolves escalations before work begins.
  • Board health check: reviews WIP limits and aging to confirm readiness.
  • Knowledge freshness: validates knowledge files against repo activity and updates as needed.
  • Intent declaration: records and surfaces session goals for the orchestrator to follow.

Quick Start

Run the Session Start sequence to initialize inbox checks, board state review, knowledge freshness audit, and intent declaration before pulling any work.

Frequently Asked Questions about lets-start

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I start a multi-agent Kanban session safely without pulling work prematurely?▼

To start a multi-agent Kanban session safely, you orchestrate a deterministic session startup that checks inboxes, reviews board state, audits knowledge freshness, and declares intent before pulling any work. This prevents premature work pulls and misaligned state.

What is a session intent declaration in AI Kanban workflows?▼

A session intent declaration in AI Kanban workflows records and surfaces session goals for the orchestrator to follow. It ensures agents have explicit, aligned objectives before proceeding with any board operations or work pulls.

How do I review board health and WIP limits before starting an AI agent workflow?▼

You review board health and WIP limits by running a board state check that evaluates WIP limits and task aging. This confirms board readiness and validates that current work-in-progress aligns with workflow constraints.

Why does my AI agent pull work before resolving inbox escalations on the Kanban board?▼

Agents pull work prematurely when a deterministic session startup is not enforced. By preparing inbox checks and resolving escalations before work begins, the workflow ensures agents do not skip pending messages or misalign state.

Does this Kanban session startup disable model invocation during initialization?▼

Yes, the Kanban session startup disables model invocation during initialization to enforce safety. It requires an explicit session intent declaration before proceeding with any work pulls or board operations.

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