<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Resources on AI Knowledge Base</title><link>https://learn-ai.blindshot.kz/topics/resources/</link><description>Recent content in Resources on AI Knowledge Base</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://learn-ai.blindshot.kz/topics/resources/index.xml" rel="self" type="application/rss+xml"/><item><title>Library</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/resources/prompt-library/library/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/resources/prompt-library/library/</guid><description>&lt;p&gt;Anthropic&amp;rsquo;s prompt library is one of the fastest ways to internalize effective prompting patterns for Claude. Rather than reading it cover-to-cover, focus on prompts in your domain and study the structural techniques they use &amp;ndash; XML tags for delineation, role-setting in the system prompt, and explicit output format instructions. Pay attention to how each example balances specificity with flexibility; overly rigid prompts tend to break when inputs vary. These curated examples also serve as a useful baseline when benchmarking your own prompts against known-good patterns.&lt;/p&gt;</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/resources/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/resources/overview/</guid><description/></item><item><title>Resources</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/server/resources/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/server/resources/</guid><description>&lt;p&gt;Resources are how MCP servers expose data to the model without requiring the model to &amp;ldquo;call&amp;rdquo; anything &amp;ndash; think of them as files or documents the application can pull into context. The key distinction from tools is that resources are application-controlled (the host decides when to read them), while tools are model-controlled (the model decides when to invoke them). Pay attention to the URI-based addressing scheme, which lets clients discover and subscribe to resource updates. If your use case is primarily about providing context rather than performing actions, resources are usually the better primitive.&lt;/p&gt;</description></item><item><title>SEP-973: Expose additional metadata for Implementations, Resources, Tools and Prompts</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/973-expose-additional-metadata-for-implementations-res/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/973-expose-additional-metadata-for-implementations-res/</guid><description>Expose additional metadata for Implementations, Resources, Tools and Prompts</description></item><item><title>SEP-985: Align OAuth 2.0 Protected Resource Metadata with RFC 9728</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/985-align-oauth-20-protected-resource-metadata-with-rf/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/985-align-oauth-20-protected-resource-metadata-with-rf/</guid><description>Align OAuth 2.0 Protected Resource Metadata with RFC 9728</description></item><item><title>Understanding Authorization in MCP</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/tutorials/security/authorization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/tutorials/security/authorization/</guid><description>Learn how to implement secure authorization for MCP servers using OAuth 2.1 to protect sensitive resources and operations</description></item></channel></rss>