ln-220-story-coordinator
CREATE/REPLAN Stories for Epic (5-10 Stories). Delegates ln-001-standards-researcher for standards research. Decompose-First Pattern. Auto-discovers team/Epic.
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CREATE/REPLAN Stories for Epic (5-10 Stories). Delegates ln-001-standards-researcher for standards research. Decompose-First Pattern. Auto-discovers team/Epic.
Worker that checks DRY/KISS/YAGNI/architecture/guide compliance for Done implementation tasks. Reports issues; does not change statuses or create tasks.
Reviews completed tasks (To Review) and moves them to Done or To Rework. Zero tolerance: all issues fixed now.
Replans Stories when Epic requirements change. Compares IDEAL vs existing, categorizes operations (KEEP/UPDATE/OBSOLETE/CREATE), executes in Linear.
Orchestrates full decomposition (scope → Epics → Stories) by delegating ln-210 → ln-220. Sequential Story decomposition per Epic. Epic 0 for Infrastructure.
Orchestrates test planning pipeline (research → manual → auto tests). Coordinates ln-511, ln-512, ln-513. Invoked by ln-500-story-quality-gate.
Executes implementation tasks (Todo -> In Progress -> To Review). Follows KISS/YAGNI, guides, quality checks. Not for test tasks.
Orchestrates Story tasks. Prioritizes To Review -> To Rework -> Todo, delegates to ln-401/ln-403/ln-404, hands Story quality to ln-500. Metadata-only loading up front.
CREATE/REPLAN Epics from scope (3-7 Epics). Batch Preview + Auto-extraction. Decompose-First Pattern. Auto-discovers team ID.
RICE prioritization per Story with market research. Generates consolidated prioritization table in docs/market/[epic-slug]/prioritization.md. L2 worker called after ln-220.
Creates ALL task types (implementation, refactoring, test). Generates task documents from templates, validates type rules, creates in Linear, updates kanban. Invoked by orchestrators.
Orchestrates task operations. Analyzes Story, builds optimal plan (1-6 implementation tasks), delegates to ln-301-task-creator (CREATE/ADD) or ln-302-task-replanner (REPLAN). Auto-discovers team ID.
Audit project documentation quality across 6 categories (Hierarchy, SSOT, Compactness, Requirements, Actuality, Legacy). Use when documentation needs quality review, after major doc updates, or as part of ln-10...
Risk-Based Value audit worker (L3). Calculates Usefulness Score = Impact (1-5) × Probability (1-5) for each test. Returns KEEP/REVIEW/REMOVE decisions based on thresholds (≥15 KEEP, 10-14 REVIEW,
Story-level quality orchestrator. Pass 1: code quality -> regression -> manual testing (fail fast). Pass 2: verify tests/coverage -> mark Story Done. Auto-discovers team/config.
Coordinates project documentation creation. Gathers context once, detects project type, delegates to 5 L3 workers (ln-111-115). L2 Coordinator invoked by ln-100.
Fixes tasks in To Rework and returns them to To Review. Applies reviewer feedback only for the selected task.
This skill should be used to validate and auto-fix Stories/Tasks against 2025 standards. Penalty Points system (goal = 0), delegates to ln-002 for documentation, Plan Mode support. Auto-discovers team/config.
Creates task management documentation (docs/tasks/README.md + kanban_board.md). L2 Worker in ln-100-documents-pipeline. Sets up Linear integration and task tracking rules.
This skill should be used when the user wants to list all projects, switch projects, rename a project, enable/disable PR deploys, make a project public/private, or modify project settings.
This skill should be used when the user asks "railway status", "is it running", "what's deployed", "deployment status", or about uptime. NOT for variables ("what variables", "env vars", "add variable") or confi...
This skill should be used when the user asks about resource usage, CPU, memory, network, disk, or service performance. Covers questions like "how much memory is my service using" or "is my service slow".
This skill should be used when the user asks to "find skill candidates", "which solutions can be promoted", "list promotable solutions", "find high-value solutions", or wants to identify Matrix solutions suitab...
AI 任务钻头 - 任务拆解助手,能够指导人类按任务类型进行任务拆解,分配哪些任务应该给AI做,哪些任务应该是人类自己来做。支持四种任务类型:直接问题解决、直接输出生成、协作问题解决、协作输出生成,并为每种类型提供详细...
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