Agent Building skills

Browse reusable Agent Skills, each with a clear purpose and practical guidance.

neuron-structured-output

Design and implement structured output classes for Neuron AI agents using SchemaProperty attributes and validation rules. Use this skill when the user mentions structured output, JSON schema extraction, data validation, output classes, DTOs for AI responses, extracting structured data from LLM, or configuring property schemas. Also trigger for any task involving SchemaProperty attribute, validation rules like NotBlank/Email/Url, nested objects, arrays of objects, enums, polymorphic types with anyOf, or the Validator class.

2.02k repo starsObserved in 3 repos
Agent Building

neuron-tool-creator

Create custom tools, toolkits, and MCP integrations for Neuron AI agents. Use this skill when the user mentions creating tools, building toolkits, extending Tool class, defining tool properties, implementing tool execution, MCP server integration, Model Context Protocol, connecting external tools, or tool guidelines. Also trigger for any task involving ToolProperty, ArrayProperty, ObjectProperty, AbstractToolkit, McpConnector, or StdioTransport/SseHttpTransport/StreamableHttpTransport.

2.02k repo starsObserved in 3 repos
Agent Building

neuron-workflow-architect

Build custom Neuron AI workflows with nodes, events, middleware, and human-in-the-loop patterns. Use this skill whenever the user mentions workflows, orchestration, event-driven systems, custom agents, complex multi-step processes, human-in-the-loop patterns, or wants to build a custom agentic system from scratch. Also trigger for tasks involving node creation, event routing, workflow middleware, persistence, or interruption patterns.

2.02k repo starsObserved in 3 repos
Agent Building

hooks-setup

Configure Memoh hooks in /data/.memoh/hooks.json, including events, matchers, command/tool actions, decisions, on_error behavior, append_context, and validation. Use when the user asks to inspect, create, update, debug, or explain workspace hooks.

2.01k repo starsObserved in 1 repos
Agent Building

book-to-skill

Meta-skill that converts uploaded documents into reusable skills. Single agent, six steps, Read template → Smart split → Recursive check → Per-file process → Generate package.

2.01k repo starsObserved in 1 repos
Agent Building

fp-go-mcp

Use this skill when working with the fp-go MCP (Model Context Protocol) server located in github.com/IBM/fp-go/gen/v2. Trigger on mentions of MCP server, fp-go MCP tools, list_skills, use_skill, search_examples, get_example, configuring fp-go for Claude Desktop, or when the user needs to access fp-go examples and skills programmatically. This skill explains how to configure and use the MCP server to access fp-go documentation, examples, and skills.

2.01k repo starsObserved in 1 repos
Agent Building

dynamo-skill-writer

Author and maintain Dynamo agent skills. Use this skill whenever creating a new skill in .claude/skills/, updating an existing skill, fixing drift between canonical skills and Copilot/Cursor/Claude wrappers, or asking how to write effective skill instructions for the Dynamo repo.

2.00k repo starsObserved in 1 repos
Agent Building

setup-ralph

Set up and configure Geoffrey Huntley's original Ralph Wiggum autonomous coding loop in any directory with proper structure, prompts, and backpressure.

1.97k repo starsObserved in 1 repos
Agent Building

edgeone-makers-agents

This skill guides building AI agent endpoints on EdgeOne Makers — five framework routes (DeepAgents, LangGraph, CrewAI, OpenAI Agents SDK, Claude Agent SDK), platform-injected `context.store` / `context.tools` / `context.sandbox`, conversation_id dual-channel routing, SSE streaming, and `agents/` vs `cloud-functions/` separation. It should be used when the user wants to create or review an AI agent endpoint on EdgeOne Makers — e.g. "build an agent on EdgeOne Makers", "create a Claude agent endpoint", "wire LangGraph into Makers", "stream LLM responses with SSE", "review my agent template", "use context.store / context.sandbox / context.tools". Do NOT trigger for plain Edge Functions, Cloud Functions, or middleware (those don't run AI logic — use edgeone-pages-dev instead). Do NOT trigger for deployment workflows (use edgeone-pages-deploy). Do NOT trigger for generic AI framework development outside an EdgeOne Makers project.

1.97k repo starsObserved in 1 repos
Agent Building

makers-migration

Migrate existing AI agent projects (LangChain, LangGraph, OpenAI Agents SDK, Claude Agent SDK, CrewAI) to EdgeOne Makers platform conventions. Use when the user wants to adapt a standard agent project to run on EdgeOne Makers, convert Express/Next.js API routes to Makers handlers, or add platform capabilities (context.tools, context.sandbox, context.store). Do NOT trigger for new agent projects (use makers-agents instead).

1.97k repo starsObserved in 1 repos
Agent Building