Use when implementing a new data source adapter for metapyle, before writing any source code

<user_command>/kata:add-milestone</user_command>

Use when adding support for a new Nango provider - configures provider in providers.yaml, creates documentation (main page, setup guide, connect guide), and updates docs.json following established patterns

**Version:** 1.0

Comprehensive Azure Data Factory knowledge base with official documentation sources, CI/CD methods, deployment patterns, and troubleshooting resources

Requirements for creating or revising adjective entries in je-dict-1. Covers forms, conjugations, predicate vs modifier usage, and similar word distinctions.

Google ADK (Agent Development Kit) multi-agent system architecture for BigQuery data analytics. Covers BigQuery agent vs conversational agent patterns, ADK Single Parent Rule, domain routing with sub-agents, agent selection mechanisms, SQL error recovery with ReflectAndRetryToolPlugin, transfer_to_agent workflows, and frontend-backend agent coordination. Use when working with Google ADK agents, multi-agent systems, BigQuery SQL automation, domain expert routing, agent orchestration, or implementing error recovery strategies in AI agent applications.

a set of guidelines to build with Botpress's Agent Development Kit (ADK) - use these whenever you're tasked with building a feature using the ADK

admet-prediction

admin-infra-oci

Expert assistant for creating and maintaining admin panel pages in the KR92 Bible Voice project. Use when creating admin pages, building admin components, integrating with admin navigation, or adding admin features.

How to monitor usage, track costs, configure analytics, and measure ROI for Claude Code. Use when user asks about monitoring, telemetry, metrics, costs, analytics, or OpenTelemetry.

Manage enterprise e-signatures with Adobe Sign's document signing solution.

Create Architecture Decision Records through interactive conversation. Use when making technology choices, architecture patterns, or third-party service selections.

Advanced AgentDB Vector Search Implementation operates on 3 fundamental principles:

Perform comprehensive OSCAL validation using community-inspired patterns including JSON schema validation, business rule validation, cross-reference checking, and best practices from IBM Trestle, oscal-pydantic, and Lula. Use for thorough document quality assurance.

Engineer SSR caching strategies that preserve correctness under concurrent updates and streaming.

advanced

Technical implementation guide for AEM Edge Delivery blocks - DOM manipulation, decoration patterns, and JavaScript best practices. Use when implementing block functionality after content structure is designed.

Check Block Collection and Block Party BEFORE implementing blocks - avoid reinventing the wheel. Use when asked to implement any block or component for AEM Edge Delivery Services, before starting implementation.

Expert-level aerospace systems, flight management, maintenance tracking, aviation safety, and aerospace software

[Aesthetics] Analyzes form, composition, and spatial relationships: eye paths, balance/asymmetry, rhythm, layering, fore/mid/background usage. Outputs compositional rules as Memo nodes in Brain canvas.

aesthetic-system

Master aesthetics - philosophy of beauty, art, and aesthetic experience. Use for: beauty, art theory, taste, sublime, creativity. Triggers: 'beauty', 'beautiful', 'aesthetic', 'art', 'sublime', 'creativity', 'taste', 'artistic', 'expression', 'representation', 'aesthetic experience', 'aesthetic judgment', 'art definition', 'Kant aesthetics', 'formalism', 'expressionism'.

This skill covers the xaffinity MCP server tools, prompts, and resources for working with Affinity CRM.

Use this skill when writing Python scripts to interact with Affinity CRM.

Las affordances son propiedades de un objeto que sugieren cómo puede ser usado.

Claude Code architecture advisor. Classifies knowledge and delegates to appropriate skills. Use when deciding where to put new knowledge or restructuring components.

Create and manage Databricks Agent Bricks: Knowledge Assistants (KA) for document Q&A, Genie Spaces for SQL exploration, and Multi-Agent Supervisors (MAS) for multi-agent orchestration. Use when building conversational AI applications on Databricks.

Build conversational AI agents using Vercel AI SDK + OpenRouter. Use when creating Next.js frontends with streaming UI, tool calling, and multi-provider support.

Checks and installs dependencies for the agent-canvas visual editing skills (agent-eyes, agent-canvas, canvas-edit).

Agent Client Protocol (ACP) - Standardized communication between code editors and AI coding agents. Use for building ACP-compatible agents, integrating agents with editors (Zed, JetBrains, Neovim), implementing tool calls, file operations, and session management.

Open protocol for AI agent interoperability enabling standardized communication between agents, applications, and humans across different frameworks

Validate AgentConfig definitions for the Agent Framework. Use when creating or modifying agent configurations to ensure correct structure, valid tool references, and proper sub-agent composition. Validates TypeScript interfaces and Python Pydantic models.

Agent Curator Skill

AI agent development standards including frontmatter structure, naming conventions, tool access patterns, model selection, and Bash-only file operations for .opencode/ folders

AI agent development with LangChain, CrewAI, AutoGen, and tool integration patterns.

Implement hooks for permission control and security in custom agents. Use when adding security controls, blocking dangerous operations, implementing audit trails, or designing permission governance.

**Project Name:** NextBlock CMS

Check and process messages from autonomous AILANG agents. Use when starting a session, after agent handoffs, or when checking for completion notifications.

Quick reference for invoking CasareRPA agents via Task tool. AUTO-CHAIN ENABLED by default. Use when: invoking agents, running agent chains, task routing, choosing the right agent, understanding agent auto-chaining, Task tool usage.

Manage agent fleet through CRUD operations and lifecycle patterns. Use when creating, commanding, monitoring, or deleting agents in multi-agent systems, or implementing proper resource cleanup.

MCP Agent Mail - mail-like coordination layer for coding agents with memorable identities, inbox/outbox, searchable threads, advisory file reservations, pre-commit guards, and human-auditable Git artifacts. The backbone of multi-agent workflows.

agent-observability

Create new AgentOps skills via interactive interview. Supports from-scratch and clone modes with tiered complexity.

Interactive workflow guide. Use when user is unsure what to do next, needs help navigating AgentOps, or wants to understand available tools.

Deep topic research with optional issue creation from findings. Use for researching technologies, patterns, libraries, or any topic requiring investigation.

Create, refine, and manage issues. Use for creating new issues from loose ideas, refining ambiguous issues, bulk operations, or JSON export.

Detect available development tools at session start. Saves to .agent/tools.json and warns about missing required tools. Works with or without aoc CLI installed.

**CRITICAL: This skill teaches you how to dispatch tasks to multiple worker agents.**