stream-chain
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
Найдите подходящую возможность для вашего агента.
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
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 systems, or intelligent assistants.
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with truth-score verification.
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
Comprehensive GitHub code review with AI-powered swarm coordination
Review or write CLI documentation. Enforces progressive disclosure, logical command ordering, and plain-language explanations. Use when asked to "write CLI docs", "document commands", "review CLI reference", or "update command docs".
Review or write README content for open-source projects. Enforces progressive disclosure, jargon-free language, and single-concept code examples. Use when asked to "write README", "review README", "update README", or "check docs".
Analyze files and get detailed metadata including size, line counts, modification times, and content statistics. Use when users request file information, statistics, or analysis without modifying files.
获取关注的 YouTube 博主/播客的最新更新。列出最近两天的新视频,包含标题、发布时间和简要描述。 触发词:"获取播客更新"、"最近有什么新播客"、"YouTube 更新"、"播客更新"、"有什么新的播客"。 用于每日检查关注的 AI/科技播客是否有新内容更新。
Transform long-form content (YouTube videos, podcasts, interviews, articles) into engaging short-form and long-form narratives. Extracts core insights and presents them in two styles: concise social media posts (300-800 characters with numbered emoji lists) and detailed narrative articles (1500-3000+ characters with story arcs). Use when users provide YouTube links, podcast transcripts, long articles, or interview content and want summaries, key insights, or content reformatted for different platforms.
AI 生产力系统专栏协作写作助手。当用户说"开始创作专栏"、"AI 生产力系统"、"写专栏"、"继续写专栏"时触发。协助用户按章节创作专栏内容,参考工具书籍写作风格,提供案例支持和方法论引用。
分析文章结构并批量生成AI配图,调用Gemini API为每个段落创建专业逻辑图/概念图。当用户说"批量配图"、"给文章配图"、"生成文章插图"、"为这篇文章配图"时触发。支持两种风格:简约手绘风和建筑蓝图编辑风。自动保存到Obsidian图片目录并插入文档。
Transform long-form content (YouTube videos, podcasts, interviews, articles) into engaging short-form and long-form narratives. Extracts core insights and presents them in two styles: concise social media posts (300-800 characters with numbered emoji lists) and detailed narrative articles (1500-3000+ characters with story arcs). Use when users provide YouTube links, podcast transcripts, long articles, or interview content and want summaries, key insights, or content reformatted for different platforms.
帮助用户通过交互式问答创建自定义批量生图 Skill。用户不需要写代码,只需回答问题即可生成完整可用的生图 Skill。当用户说"帮我创建生图Skill"、"我想做一个配图技能"、"创建批量出图的Skill"、"生成图片的Skill怎么做"、"帮我做一个AI画图技能"时触发。支持文章配图、Logo设计、分镜故事、社交媒体图、海报等任意图片场景。
Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.
AI选题生成工具。从采集的热点中筛选TOP10,生成完整选题方案。当用户说"生成选题"、"筛选热点"、"哪些值得写"时触发。输出包含:事件描述、核心角度、标题、写作方式。
Add or modify WPUF frontend code (jQuery, vanilla JS, Vue legacy, Tailwind). Use when creating components, modifying build configuration, or working with frontend assets.