# Сопутствующие статьи по теме Crypto

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Crypto", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

From Understanding Skill to Learning How to Build Crypto Research Skill

This article explores the evolution and application of Agent Skill, a modular framework introduced by Anthropic in late 2025, which has become a foundational design pattern in the AI Agent ecosystem. Initially a tool to improve Claude's performance on specific tasks, it evolved into an open standard due to high developer adoption. Agent Skill functions like a "dynamic instruction manual" that AI can reference to perform tasks consistently without repetitive user prompting. It is built using a `skill.md` file containing metadata (name and description) and detailed instructions. The system operates through an on-demand loading workflow: the AI first scans lightweight skill metadata, matches the user's intent, then loads only the relevant skill's full instructions, optimizing token usage. Two advanced mechanisms enhance its functionality: - **Reference**: Conditionally loads external documents (e.g., a finance handbook) only when triggered by specific keywords, avoiding unnecessary context consumption. - **Script**: Executes external code (e.g., a Python script) without reading its content, enabling actions like file uploads with zero token cost. The article contrasts Agent Skill with Model Context Protocol (MCP), noting that MCP connects AI to data sources, while Skill defines how to process that data. For advanced use cases like crypto research, combining both is recommended: MCP fetches real-time data (e.g., blockchain info, news APIs), while Skill structures the analysis and output format. A practical example demonstrates building a crypto research agent using an `opennews-mcp` server. The Skill automates workflows like due diligence on new tokens (pulling Twitter data, news sentiment, KOL tracking) and real-time event monitoring (e.g., ZK-proof breakthroughs) to generate structured reports or trading alerts. This combination creates a powerful, automated research system tailored for Web3 analytics.

marsbit03/10 10:41

From Understanding Skill to Learning How to Build Crypto Research Skill

marsbit03/10 10:41

a16z: Betting $2 Billion on the Next Dawn of Web3

a16z, known as one of Silicon Valley's most aggressive venture capital firms, is raising $2 billion for its fifth crypto-focused fund, according to a Fortune report. This move comes amid a prolonged crypto market downturn, contrasting with the cautious stance of many other investors. The firm has a history of bold, contrarian bets. Founded in 2009 during the financial crisis, a16z built its reputation by "hunting elephants" – making large, early bets on transformative technology that others deemed too risky. This strategy led to massive wins, including an early investment in Coinbase. a16z's crypto investment arm began in 2018 with a $300 million fund. It proceeded to make prescient, early investments in foundational Web3 projects like MakerDAO, Uniswap, Solana, and OpenSea, establishing itself as a dominant force in crypto venture capital. The firm's unique approach extends beyond capital. It operates a robust media and content strategy, aiming to help its portfolio companies "win the narrative war," a capability it views as increasingly critical in the AI era. While the specific focus of the new $2 billion fund is not detailed, it signals a strong conviction in blockchain's long-term future. General partner Chris Dixon has framed blockchain as the next foundational architecture of the internet, suggesting the industry is in a long "foundational period." The fund is expected to continue backing core infrastructure and potentially new, non-financial applications that emerge as the ecosystem matures.

marsbit03/10 10:08

a16z: Betting $2 Billion on the Next Dawn of Web3

marsbit03/10 10:08

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