自動化

Create test plans, write tests, validate code quality through testing

Use when complex tasks require multiple specialized approaches or parallel work - coordinates Task tool usage for multi-agent workflows, parallel execution patterns, and delegation decision framework for 3-5x faster execution

Development standards for the Nathan n8n-Jira agent automation system. Covers n8n workflows, Python patterns, and project conventions.

MUST BE USED when user says: 'create a skill', 'make a skill', 'new skill', 'build a skill', 'write a skill', 'add a skill', 'skill for X', or any variation. Also use when editing SKILL.md files, updating skill descriptions, adding skill resources, or iterating on existing skills. Load this skill BEFORE any skill-related work.

Workflow navigation assistant that recommends next steps and optimizes documentation sequence through the SDD workflow

Monitor application performance using the RED methodology (Rate, Errors, Duration) with Observe. Use when analyzing service health, investigating errors, tracking latency, or building APM dashboards. Covers when to use metrics vs spans, combining RED signals, and troubleshooting workflows. Cross-references working-with-intervals, aggregating-gauge-metrics, and analyzing-tdigest-metrics skills.

Transform specifications into actionable implementation plans with phases, tasks, and acceptance criteria. Fourth phase of research-discussion-specification-plan-implement-review workflow. Use when: (1) User asks to create/write an implementation plan, (2) User asks to plan implementation after specification is complete, (3) Converting specifications from docs/workflow/specification/{topic}.md into implementation plans, (4) User says 'plan this' or 'create a plan' after specification, (5) Need to structure how to build something with phases and concrete steps. Creates plans in docs/workflow/planning/{topic}.md that implementation phase executes via strict TDD.

General email management via JMAP MCP - search, read, send, update, archive. Pure mechanics, no user-specific workflows.

Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.

Automated workflow for systematic AI-User collaboration in monorepo tasks. Ensures correct process order, decision logging, and error prevention.

Notion MCP integration specialist for workspace management, database operations, page creation, and knowledge extraction. Use when integrating Notion workspaces, managing databases, or automating documentation workflows.

Generate state machine logic for Frappe DocTypes. Use when implementing complex status workflows, state transitions, or document lifecycle management.

File-based task execution tracking for orchestration workflows

Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced development workflows.

This skill should be used when helping with Home Assistant setup, including creating automations, modifying dashboards, checking entity states, debugging automations, and managing the smart home configuration. Use this for queries about HA entities, YAML automation/dashboard generation, or troubleshooting HA issues.

Navigate the web, discover content, and interact with pages using a headless browser.

Response-Aware Development (RAD) - Systematic verification of code assumptions using multi-model AI analysis. Auto-activates on keywords assumption, verify assumptions, list assumptions, RAD, response-aware, assumption tags, critical assumptions, assumption verification. Routes to verification, listing, and testing workflows.

Expert guidance for Feishu (飞书) / Lark OpenAPI Python development. Build Feishu applications, robots, handle event subscriptions, card callbacks, and API integrations. Use when working with Feishu SDK, lark-oapi, building Feishu bots, or mentioning 飞书 development.

Framework for building AI agents that work effectively across multiple context windows on complex, long-running tasks. Use when building agents for multi-hour/multi-day projects, implementing persistent coding workflows, creating systems that need state management across sessions, or when an agent needs to make incremental progress on large codebases. Provides initializer and coding agent patterns, progress tracking, feature management, and session handoff strategies.

Use when starting any conversation - establishes mandatory workflows for finding and using skills, including using Skill tool before announcing usage, following brainstorming before coding, and creating TodoWrite todos for checklists