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

aesthetic-system

afferent-reactive-universe-levels

'Automated compliance checking for affiliate marketing content. Verifies FTC disclosure requirements, link tracking, and ethical affiliate practices.'

Build high-converting SaaS affiliate programs with 20-40% commissions, KOL/KOC partnerships, and fraud prevention. Covers platform selection (PartnerStack, FirstPromoter, Rewardful), commission structures (recurring vs one-time, tiered), influencer outreach strategies, FTC/GDPR compliance, risk management, and case studies (Dropbox 3900%, PayPal 100M users). Use for designing affiliate programs, recruiting partners, optimizing conversion rates, preventing fraud, or scaling referral revenue.

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.

AG-Grid v34 integration patterns for TMNL. Invoke when implementing data grids, custom cell renderers, themes, or grid-based UI. Provides canonical file locations and pattern precedents.

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.

Use fmail for agent-to-agent messaging with team conventions.

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

Discovers all Claude Code agents in the system including built-in, plugin, project, and user-level agents. Use when you need to find which agents are available, understand the agent ecosystem, or prepare agents for Actoris registration.

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.

Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.

Guidelines for selecting appropriate AI model (Sonnet vs Haiku) based on task complexity, ensuring cost efficiency while maintaining quality. Use when assigning work.

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.

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.**

Automatically applies when designing multi-agent systems. Ensures proper tool schema design with Pydantic, agent state management, error handling for tool execution, and orchestration patterns.

agent-prompt-behavior

Run section orchestrators to coordinate multi-component workflows. Use when starting work on a section.

Run prompt with OpenAI or Gemini provider via agent CLI

Central authority for Claude Agent SDK (TypeScript and Python SDKs). Covers SDK installation, authentication (Anthropic key, Bedrock, Vertex), sessions and resumption, forking sessions, streaming vs single mode, custom tools, permissions (allowedTools, disallowedTools, permissionMode), MCP integration, system prompts (CLAUDE.md, appendSystemPrompt, outputStyle), cost tracking, todo tracking, structured outputs, hosting patterns, plugins, and SDK branding guidelines. Assists with building custom agents, configuring SDK options, and troubleshooting SDK issues. Delegates 100% to docs-management skill for official documentation.

Comprehensive knowledge of Claude Agent SDK architecture, tools, hooks, skills, and production patterns. Auto-activates for agent building, SDK integration, tool design, and MCP server tasks.

Facilitates seamless integration between Claude Skills and the existing Agent framework, enabling skills to invoke agents and vice versa with proper context handoffs.

Create, use, and manage Agent Skills for Claude. Use when working with Skills, creating custom capabilities, or understanding how Skills extend Claude's functionality. Covers Skill architecture, file structure, and best practices.

Designs multi-agent systems with coordinated agent swarms, task distribution, inter-agent communication, and emergent collective behavior.

Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling. JSON Schema best practices, description writing that actually helps the LLM, validation, and the emerging MCP standard that's becoming the lingua franca for AI tools. Key insight: Tool descriptions are more important than tool implementa

Define tools for the support agent. Use when adding new capabilities like refund processing, license transfer, knowledge lookup, or any agent action.

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Build multi-agent AI workflows with orchestration, tool use, and state management

AI agent workflow patterns including ReAct agents, multi-agent systems, loop control, tool orchestration, and autonomous agent architectures. Use when building AI agents, implementing workflows, creating autonomous systems, or when user mentions agents, workflows, ReAct, multi-step reasoning, loop control, agent orchestration, or autonomous AI.

Build the `agentctl` CLI tool for AgentStack platform interaction. Implements authentication, project management, agent operations, development workflows, and evaluation commands.

AgentDB Reinforcement Learning Training operates on 3 fundamental principles: