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Found 87 Skills
Explains how to add and debug playwright MCP tools and CLI commands.
OpenAI Agents SDK (Python) development. Use when building AI agents, multi-agent workflows, tool integrations, or streaming applications with the openai-agents package.
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
Structured fortune-telling workflow skill using MCP tools. Use when users ask for divination, 八字/四柱, 六爻, 紫微斗数, 塔罗, 大运, 运势/流年, or want standardized解读流程 (e.g., 八字先看身强弱与喜用神再看大运流年). Enforce fixed analysis order, call the right MCP tool, and produce actionable interpretations.
Word Flow: Conduct in-depth word analysis and generate infographic cards in one go. It accepts one or more English words, runs ljg-word (which generates in-depth semantic analysis) and then ljg-card -i (which generates infographic PNGs). Use this when the user says '词卡', 'word card', 'word flow', or provides English words and wants both analysis and visual cards.
Extracts specific fields from JSON files efficiently using jq instead of reading entire files, saving 80-95% context. Use this skill when querying JSON files, filtering/transforming data, or getting specific field(s) from large JSON files
Read your daily Working Memory briefing to understand current context. Contains active focus areas, priorities, unresolved flags, and recent knowledge changes. Load this automatically at the beginning of sessions for cross-tool continuity.
Universal tool gateway via Composio — connect to 1000+ external apps (Gmail, Slack, GitHub, Google Calendar, Notion, etc.) through the Composio Gateway. Use when the user wants to interact with external SaaS services, send emails, manage calendars, access documents, or any third-party app integration.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Design patterns for building autonomous coding agents. Covers tool integration, permission systems, browser automation, and human-in-the-loop workflows. Use when building AI agents, designing tool APIs, implementing permission systems, or creating autonomous coding assistants.
Build declarative AI Services with LangChain4j using interface-based patterns, annotations, memory management, tools integration, and advanced application patterns. Use when implementing type-safe AI-powered features with minimal boilerplate code in Java applications.
Build AI agents with AWS Bedrock AgentCore. Use when developing agents on AWS infrastructure, creating tool-use patterns, implementing agent orchestration, or integrating with Bedrock models. Triggers on keywords like AgentCore, Bedrock Agent, AWS agent, Lambda tools.