What problem does it solve? AI coding agents facing overly broad scope or ambiguous dependencies tend to stop early or ignore constraints as they approach context window limits. This Skill mitigates that "context anxiety" by decomposing large tasks into fine-grained micro-tickets that each fit within a single clean interaction cycle. ## Core Features & Use Cases - Decomposition Heuristics: Applies four rules for splitting work: one verifiable output per ticket, a closed list of files in scope, no ambiguous dependencies, and a size that fits in one turn. - Standard Ticket Format: Provides a Markdown template with objective, files in scope, acceptance criteria, explicit out-of-scope items, and dependencies on other tickets or ADRs. - Agile DoD Integration: Connects tickets to definition-of-done rituals, requiring passing tests/linters, CURRENT-STATE.md updates, and human PR review. - Use Case: During sprint planning or backlog refinement, paste a large feature request and receive an ordered set of micro-tickets, each independently executable by an agent without context overflow. ## Quick Start Ask the agent to break this large feature request into micro-tickets with clear scope, acceptance criteria, and dependencies.
