Gate has officially completed a comprehensive upgrade of its Skills Hub. As a core capability layer within the Gate for AI product ecosystem, this upgrade expands the number of available skills from 11 to over 10,000, while simultaneously enhancing the classification system, search functionality, and user pathways—establishing the most comprehensive AI trading strategy marketplace in the industry.
Aggregating 10,000+ AI Skills: From Fragmented Tools to a Structured Strategy System
The most immediate impact of this upgrade is the simultaneous improvement in both scale and quality of skill supply:
- Scale expansion: The number of skills has increased from 11 to over 10,000, covering core scenarios such as market analysis, trade execution, arbitrage strategies, and risk management
- Multi-source aggregation: Integrates ecosystem resources, such as GitHub, to continuously enrich strategy supply
- Quality filtering: Eliminates duplicates and prioritizes high-quality repositories to avoid redundancy and low-value content
- Comprehensive information: Each skill includes key data such as author, popularity (stars), and last update time, enabling users to better assess value
Compared to the industry's typical range of hundreds to a few thousand skills, Gate has taken the lead in evolving from a "tool collection" to a comprehensive "strategy marketplace".
Clearer Classification and Search: Enabling Users to Find the Right Strategy Faster
Alongside the significant expansion in scale, Gate has focused on optimizing how users efficiently discover relevant strategies. The platform has established an industry-aligned classification system consisting of eight primary categories, covering the full trading workflow.
In addition, the platform introduces tag-based filtering, an intelligent classification engine, and multi-dimensional search capabilities. Users can precisely locate strategies using tag combinations such as #ETH, #FundingRateArbitrage, and #LowRisk, while also searching across multiple fields, including name, description, tags, and author. Combined with real-time recommendation and ranking mechanisms, overall search efficiency is significantly improved.
Overall, users can quickly identify the most suitable strategies through a combination of categories, tags, and search without needing to understand complex technical logic, substantially reducing information filtering costs.
Dual-Mode Access Lowering Barriers: One-Click Invocation and Flexible Deployment
At the usage level, the platform introduces a dual-mode approach to reduce barriers and improve efficiency, further optimizing user experience.
For general users, selecting a strategy and generating a prompt is sufficient. Users can simply copy it into an AI assistant, and the AI will automatically load and execute the strategy. The entire process requires no installation, configuration, or understanding of underlying logic. For developers, standard installation methods (such as pip and npm) remain available, supporting local deployment and secondary development to meet advanced needs.
This dual-mode design enables a single platform to serve both zero-barrier users and professional developers, balancing usability with flexibility.
From Isolated Functions to a Trading Closed Loop: AI Trading Enters a Systematic Stage
Unlike industry solutions that primarily focus on single-function calls, Skills Hub emphasizes the combination and coordination of multiple capabilities:
- Multi-skill integration: Supports linking market analysis, strategy decision-making, trade execution, and risk management
- Closed-loop trading workflow: " M arket observation" > "decision-making" > "trade execution," forming a complete process
- AI role evolution: Transforms AI from an auxiliary tool into a trading participant with systematic execution capabilities
Combined with Gate's foundational capabilities (MCP), Skills Hub, as a capability layer, further amplifies the practical value of AI in trading, marking the transition from isolated use cases to systematic AI trading applications.
As a key component of the Gate for AI ecosystem, Skills Hub is now working in synergy with the foundational capability layer to progressively connect the full pathway from connection and understanding to execution. This advancement is driving AI applications in trading scenarios from tool-based usage toward system-level integration. Looking ahead, as capabilities continue to expand and the ecosystem matures, Gate will further deepen the integration between AI and trading, accelerating the development of next-generation intelligent trading infrastructure, positioning AI as a scalable and sustainable core capability in everyday trading.
Learn more: https://www.gate.com/skills-hub
Disclaimer :
This content does not constitute an offer, solicitation, or recommendation. You should always seek independent professional advice before making investment decisions. Note that Gate may restrict or prohibit certain services in specific jurisdictions. For more information, please read the User Agreement via https://www.gate.com/user-agreement.
Gate Team
March 19, 2026
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