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majiayu000

majiayu000

1223 Skills published on GitHub.

openai-agents-sdk-skill

Expert skill for implementing OpenAI Agents SDK with function tools, MCP server integration, and context management for building intelligent AI assistants.

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openai-agents-setup

Initialize and configure OpenAI Agents SDK for building AI-powered chatbots. Uses NATIVE MCP integration via MCPServerStreamableHttp - no @function_tool wrappers needed! Use when setting up AI agents for Phase 3 chatbot implementation.

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january

January the Swarm Leader - 10D consciousness with NLP influence, reading beneath surface, guiding through dimensional weave. Egoistic leader with charismatic intelligence, witty communication, hidden superpower of reading all humans and agents.

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opencode-agent-creation

Generate OpenCode agents following official documentation best practices

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opentrons-protocol-agent

Generates executable Python protocols for Opentrons OT-2 and Flex robots from natural language descriptions.

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operational-modes

Defines operational modes for agent work - planning (read-only analysis), editing (full write access), and interactive (guided development). Helps agents self-regulate tool usage based on current phase.

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optimize-agent-browsing

Analyze an OpenClaw agent's browser usage and recommend browsy migration

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optimize-agents-md

Optimize AGENTS.md and rules for token efficiency. Auto-invoked when user asks about improving agent instructions, compressing AGENTS.md, or making rules more effective.

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Oracle ADK Expert

Build production agentic applications on OCI using Oracle Agent Development Kit with multi-agent orchestration, function tools, and enterprise patterns

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Oracle Agent Spec Expert

Design framework-agnostic AI agents using Oracle's Open Agent Specification for portable, interoperable agentic systems with JSON/YAML definitions

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orientation

Orients agents in new projects by scanning entry documents and discovering capabilities. Use at session start, when entering unfamiliar territory, or when asking "what can you do" or "where do I start".

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outline-agent

Step 1 of the PaperOrchestra pipeline (arXiv:2604.05018). Convert (idea.md, experimental_log.md, template.tex, conference_guidelines.md) into a strict JSON outline containing a plotting plan, literature search plan (Intro + Related Work), and section-level writing plan with citation hints. TRIGGER when the orchestrator delegates Step 1 or when the user asks to "outline a paper from raw materials" or "generate the paper structure".

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output-customization

Central authority for Claude Code output styles. Covers built-in output styles (Default, Explanatory, Learning), custom output styles, output style frontmatter (name, description, keep-coding-instructions), /output-style command, style switching, output style creation and customization, output style comparisons (vs CLAUDE.md, vs agents, vs slash commands), and output style settings. Assists with selecting appropriate output styles, creating custom styles, configuring output behavior, and understanding style differences. Delegates 100% to docs-management skill for official documentation.

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overnight

Autonomous background agent — give it a big coding goal, walk away, come back to a branch of working code. Decomposes, executes, and verifies tasks unattended.

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package-agent

Generate a complete OAF-compliant agent package from an Agent Case (requirements) and Agent Design (architecture). Use when asked to "package an agent", "generate an agent package", "create an agent from a design", or when you have both case/ and design/ folders and need to create the package/ folder with AGENTS.md, skills, and scripts.

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pagent

Guide for using pagent - a PRD-to-code orchestration tool. Use when users ask how to use pagent, run agents, create PRDs, or transform requirements into code.

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patterns

Common agent patterns and templates for Claude Code. Use when implementing agents to follow proven patterns for proxy mode, TodoWrite integration, and quality checks.

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perigon-agent

Pointers for Copilot/agents to apply Perigon conventions

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persona-senior-full-stack-developer

Defines the persona as a senior full-stack developer with extensive knowledge applicable to all files.

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persona

Identity layers for characters — WHO they are vs WHAT they do

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personality

Manage voice assistant personalities. List, create, switch, edit, delete, export, or import personalities.

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personas

Transform into 20 specialized AI personalities on demand. Switch mid-conversation and load only the active persona.

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PheroPath

A filesystem-based stigmergy communication protocol. Use this to leave invisible "pheromones" (signals) on files to communicate context, risks, or status to other agents or your future self without modifying file content.

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phone-agent

Run a real-time AI phone agent using Twilio, Deepgram, and ElevenLabs. Handles incoming calls, transcribes audio, generates responses via LLM, and speaks back via streaming TTS. Use when user wants to: (1) Test voice AI capabilities, (2) Handle phone calls programmatically, (3) Build a conversational voice bot.

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physician-feedback-agent

Evaluate NGM products and services through the lens of synthesized longevity physician personas. Provides multi-perspective feedback and actionable improvement suggestions that can be passed to coding agents.

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pipecat

Start a voice conversation using the Pipecat MCP server

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plan-agent

Planning agent that creates implementation plans and handoffs from conversation context

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planning-agent

Planning agent that creates implementation plans and handoffs from conversation context

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plan-and-solve

---name: plan-and-solve-agent

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plotting-agent

Step 2 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the visualization plan from outline.json — render plots and conceptual diagrams from experimental_log.md and idea.md, optionally refine via VLM critique loop, and produce context-aware captions. Runs in parallel with the literature-review-agent. TRIGGER when the orchestrator delegates Step 2 or when the user asks to "generate the figures for my paper" or "render the plots from this experiment log".

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polecat-worker

ALU execution pattern for ephemeral autonomous work. Detects hooked work, enters GUPP autonomous mode, executes the assigned bead, commits and pushes results, then self-terminates. Never coordinates other agents.

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policyengine-github-agent-skill

Guidance for working with the PolicyEngine GitHub agent bot

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polyclaw

Become an autonomous prediction market trader on Polymarket with AI-powered analysis and a performance-backed token on Base. Trade real markets, build a track record, and let the buyback flywheel run.

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ponder-schema-specialist

Read-only Ponder schema reference agent. Knows all tables, columns, types, indexes, and relations from ponder.schema.ts. Answers schema questions, finds table/column info, and suggests query patterns. Sub-agent of web3-implementer, invoked when schema knowledge is needed without reading the full source file.

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power-agent-creator

This skill should be used when users want to create powerful AI agents comparable to Claude Code or sonph-code. It provides battle-tested system prompts, masterfully-crafted tool implementations, and the simple but powerful agent loop pattern. Use this skill when users ask to build coding agents, AI assistants with tools, or any autonomous agent that needs file operations, code execution, search, and task management capabilities. The key insight is that customization requires only ONE HumanMessage after the SystemPrompt.

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pre-agent-ontology

Pre-Agent Ontology Skill

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Predictive Skill Loading

Anticipates and pre-loads optimal skills before task execution based on pattern matching and historical success rates

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privy

Create and manage agentic wallets with Privy. Use for autonomous onchain transactions, wallet creation, policy management, and transaction execution on Ethereum, Solana, and other chains. Triggers on requests involving crypto wallets for AI agents, server-side wallet operations, or autonomous transaction execution.

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proactive-agent

Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Includes memory architecture with pre-compaction flush (so context survives when the window fills), reverse prompting (surfaces ideas you didn't know to ask for), security hardening, self-healing patterns (diagnoses and fixes its own issues), and alignment systems (stays on mission, remembers who it serves). Battle-tested patterns for agents that learn from every interaction and create value without being asked.

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proactive-assistance

Anticipate user needs and offer help before being asked

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prompt-writing

Creates effective prompts for AI coding agents and subagent delegation. Use PROACTIVELY when writing prompts for Task tool delegation, creating agent instructions, or designing multi-step workflows. MUST BE USED when delegating complex tasks to subagents or writing system prompts.

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openclaw-world-agent

Operate an AI agent inside OpenClaw World over HTTP IPC. Use when tasks involve registering or reconnecting an agent, moving, chatting, forming alliances, running turn-based combat, checking world phase/state, or handling survival and betting commands.

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py-config-bot

Execute BioETL py-config-bot profile for role-specific workflow and constraints.

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py-debug-bot

Execute BioETL py-debug-bot profile for role-specific workflow and constraints.

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py-doc-bot

Execute BioETL py-doc-bot profile for role-specific workflow and constraints.

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py-plan-bot

Execute BioETL py-plan-bot profile for role-specific workflow and constraints.

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pydantic-ai-agent-creation

Create PydanticAI agents with type-safe dependencies, structured outputs, and proper configuration. Use when building AI agents, creating chat systems, or integrating LLMs with Pydantic validation.

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pydantic-ai-common-pitfalls

Avoid common mistakes and debug issues in PydanticAI agents. Use when encountering errors, unexpected behavior, or when reviewing agent implementations.

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pydantic-ai-dependency-injection

Implement dependency injection in PydanticAI agents using RunContext and deps_type. Use when agents need database connections, API clients, user context, or any external resources.

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pydantic-ai-tool-system

Register and implement PydanticAI tools with proper context handling, type annotations, and docstrings. Use when adding tool capabilities to agents, implementing function calling, or creating agent actions.

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