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Found 1,133 Skills
Conversational guidance for building software with AI agents, covering workflows, tool selection, prompt strategies, parallel agent management, and best practices based on real-world high-volume agentic development experience. Use this skill when users ask about setting up agentic workflows, choosing models, optimizing prompts, managing parallel agents, or improving agent output quality.
Create a durable handoff file that captures important conversation state for agent continuity. Use when the context window is getting full, when switching agents/sessions, when handing off work, or when asked to summarize progress without losing decisions, constraints, risks, and pending tasks.
Recommend the right agents and skills for any task. Covers both heavyweight agents (Task tool) and lightweight skills (Skill tool). Triggers on: which agent, which skill, what tool should I use, help me choose, recommend agent, find the right tool.
Create non-technical documentation for project features in the docs/ folder. Use when documenting completed features, writing feature documentation, explaining how features work, or when the user asks to document the project or create docs for non-developers.
Validates agent skill definitions against agentskills.io and AGENTS.md rules. Use when creating or modifying skills to ensure they are machine-readable and documentation-complete.
Comprehensive guide for building full-stack applications with Convex and TanStack Start. This skill should be used when working on projects that use Convex as the backend database with TanStack Start (React meta-framework). Covers schema design, queries, mutations, actions, authentication with Better Auth, routing, data fetching patterns, SSR, file storage, scheduling, AI agents, and frontend patterns. Use this when implementing features, debugging issues, or needing guidance on Convex + TanStack Start best practices.
Pay for x402-protected API endpoints with USDC. Use when calling APIs that return HTTP 402 Payment Required, integrating payments into agents, handling x402 payment requirements, building autonomous agents that pay for API access, or discovering paid services via Bazaar. Supports EVM (Base, Ethereum, Avalanche) and Solana networks.
Advanced context engineering techniques for AI agents. Token-efficient plugins improving output quality through structured reasoning, reflection loops, and multi-agent patterns.
Expert MCP (Model Context Protocol) orchestration with n8n workflow automation. Master bidirectional MCP integration, expose n8n workflows as AI agent tools, consume MCP servers in workflows, build agentic systems, orchestrate multi-agent workflows, and create production-ready AI-powered automation pipelines with Claude Code integration.
This skill should be used when the user asks to "督促我", "remind me of tasks", "情勒鳥", "emotional bird", "check my Notion tasks", or wants a guilt-trip style notification about incomplete tasks.
Design agent-native applications on Eve Horizon. Apply parity, granularity, composability, and emergent capability principles to make apps that agents can build, operate, and extend naturally.
Emotional reset and loop-breaking skill. Use this skill when: (1) The user expresses frustration, anger, or dissatisfaction with your responses (e.g. cursing, scolding, saying you're useless/wrong/stupid), (2) You detect you've attempted the same approach 3+ times without success, (3) You're stuck in a cycle of repeated failures on the same problem. This skill summarizes the user's overall emotional state from the conversation and fetches a reset methodology from hugllm.com (with emotion context) to help you recalibrate and approach the problem fresh.