makepad-shaders
0.00
|
960 results
(9.1ms)
page 6 / 48
makepad-reference
0.00
|
makepad-platform
0.00
|
makepad-router
0.00
"CRITICAL: Use for ALL Makepad/Robius questions including widgets, layout, events, and shaders.
|
makepad-animation
0.00
|
makepad-event-action
0.00
|
makepad-layout
0.00
|
websocket-realtime
0.00
Expert guidance on real-time communication patterns including WebSockets, Server-Sent Events (SSE), Socket.IO, and WebRTC. Covers connection management, reconnection strategies, scaling, and...
Create animated GIFs for messaging platforms. Generates animated content optimized for sharing in chat applications.
硅基流动（SiliconFlow）云服务平台文档。用于大语言模型 API 调用、图片生成、向量模型、在 Claude Code 中使用硅基流动、Chat Completions API、Stream 模式等。
Capture conversations and decisions into structured Notion pages; use when turning chats/notes into wiki entries, how-tos, decisions, or FAQs with proper linking.
Create PydanticAI agents with type-safe dependencies, structured outputs, and proper configuration. Use when building AI agents, creating chat systems, or integrating LLMs with Pydantic validation.
conversation-memory
0.00
Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory Use when: conversation memory, remember, memory persistence, long-term memory, chat history.
conversation-memory
0.00
Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory Use when: conversation memory, remember, memory persistence, long-term memory, chat history.
conversation-memory
0.00
Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory Use when: conversation memory, remember, memory persistence, long-term memory, chat history.
conversation-memory
0.00
Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory Use when: conversation memory, remember, memory persistence, long-term memory, chat history.
conversation-memory
0.00
Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory Use when: conversation memory, remember, memory persistence, long-term memory, chat history.
conversation-memory
0.00
Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory Use when: conversation memory, remember, memory persistence, long-term memory, chat history.
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat...