Agent Skills Hub

novelty-check

Verify research idea novelty against recent literature. Use when user says '查新', 'novelty check', or needs to confirm if a method is original.

trading-strategies

Framework for building, testing, and deploying automated trading strategies for prediction markets using Python.

marketing-fundamentals

Master core marketing concepts, psychology, and frameworks. Includes funnel mapping, positioning, value propositions, and customer journey analysis for effective strategy.

deep-thinking

A deep reasoning protocol that ensures systematic analysis, multi-hypothesis generation, and rigorous verification for complex architectural, debugging, and high-stakes tasks.

tavily-search

Real-time web search and content extraction tool using the Tavily API for research, news gathering, and up-to-date information retrieval.

meeting-insights-analyzer

Analyze meeting transcripts to uncover behavioral patterns, communication insights, and leadership feedback. Identify conflict avoidance, filler words, speaking ratios, and active listening to improve your professional presence.

matplotlib

Foundational Python library for static, animated, and interactive data visualization. Provides fine-grained control over plot elements for scientific, publication-ready figures.

huginn-onboard

Bridge assets from EVM chains to Starknet, deploy agent accounts, and register identities with the HuginnRegistry for autonomous AI agent onboarding.

product-strategist

Strategic leadership toolkit for Heads of Product. Generate OKR cascades, conduct quarterly planning, perform competitive analysis, define product vision, and build team scaling proposals.

moollm

A microworld operating system for LLM-based agent living memory, transforming filesystems into navigable rooms and code into habitable worlds.

omc-plan

Intelligent strategic planning and requirements gathering with multi-perspective consensus loops and structured deliberation.

plain-language

A toolkit for writing clear, accessible, and concise content. Applies Plain Language Movement principles including active voice, sentence shortening, and jargon elimination for improved reader comprehension.