“workflows”的搜索结果

Use when: User wants to run Archon workflows, CREATE workflows or commands, set up Archon, or manage Archon configuration. Triggers (run): "use archon to", "run archon", "archon workflow", "use archon for", "have archon", "let archon", "ask archon to". Triggers (create): "create a workflow", "write a workflow", "make a command", "author a workflow", "new workflow", "new command", "archon workflow yaml". Triggers (setup): "set up archon", "install archon", "how to use archon", "configure archon", "archon setup", "get started with archon". Triggers (config): "change my archon config", "modify archon config", "archon config", "change archon settings", "update my config", "help me change my config", "edit archon config", "archon configuration". Triggers (init): "initialize archon", "set up .archon", "archon init", "add archon to repo". Capability: Runs AI workflows in isolated git worktrees for parallel development. Also: Creates and manages workflow YAML files, command files, and configuration. NOT for: Direct Claude Code work - only for delegating to Archon CLI.

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Start AEM Workflows on AEM as a Cloud Service using all available triggering mechanisms. Use when starting workflows manually via the Timeline UI, programmatically via WorkflowSession.startWorkflow(), via the HTTP Workflow API, through Manage Publication, or passing initial metadata and payload to a workflow instance.

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Helps understand and write EAS workflow YAML files for Expo projects. Use this skill when the user asks about CI/CD or workflows in an Expo or EAS context, mentions .eas/workflows/, or wants help with EAS build pipelines or deployment automation.

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Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.

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Use this skill when working with scientific research tools and workflows across bioinformatics, cheminformatics, genomics, structural biology, proteomics, and drug discovery. This skill provides access to 600+ scientific tools including machine learning models, datasets, APIs, and analysis packages. Use when searching for scientific tools, executing computational biology workflows, composing multi-step research pipelines, accessing databases like OpenTargets/PubChem/UniProt/PDB/ChEMBL, performing tool discovery for research tasks, or integrating scientific computational resources into LLM workflows.

中文简介正在准备中。当前显示原文说明。

Start AEM Workflows on AEM as a Cloud Service using all available triggering mechanisms. Use when starting workflows manually via the Timeline UI, programmatically via WorkflowSession.startWorkflow(), via the HTTP Workflow API, through Manage Publication, or passing initial metadata and payload to a workflow instance.

中文简介正在准备中。当前显示原文说明。

通过附有建议答案的问题，梳理工作和生活中的重复任务，明确启动条件、人工确认环节及决策摘要，形成实施人员无需追加提问即可据此构建的工作流规格。

• 寻找可以委托的重复任务
• 明确工作流的启动条件
• 确定人工确认的时机

将按用户或情境选择优先候选项的推荐与排序流程，拆分为获取、补充信息、过滤、评分、选择和记录六个阶段，并生成可运行的代码框架。

• 设计个性化内容分发
• 重新排序搜索或RAG结果
• 确定任务优先级

将业务逻辑与数据库、外部 API 和框架分离，整理清晰的边界、用例及测试，支持新服务设计，也支持按功能逐步改造已有代码。

• 分离业务规则与数据库及 API 调用
• 在 HTTP、CLI 和队列间共用流程
• 保留业务规则并替换外部基础设施

为Web应用上线整理部署流程与检查项，涵盖CI/CD测试和部署自动化、Docker容器化、健康检查及回滚计划，帮助选择发布方式并检查上线准备情况。

• 自动化测试与部署
• 将应用打包为Docker容器
• 选择生产环境发布方式

设计生产数据库的结构与数据迁移，涵盖列和索引变更、分批补全数据、分阶段替换列及恢复计划，帮助规划大表更新和不中断服务的结构切换。

• 为大表添加列或索引
• 分阶段更改列名以避免停机
• 分批补全现有数据

为AI智能体创建专用邮箱，收发邮件并处理回复和附件。还可查看邮件中的一次性验证码，并设置收到新邮件后继续执行任务的流程。

• 创建AI智能体专用邮箱地址
• 发送邮件并处理回复与附件
• 查看邮件中的验证码

通过正则表达式和语法规则约束本地语言模型的输出，生成符合指定格式的JSON、日期和固定分类标签，并用Python构建可重复使用的多阶段生成流程。

• 生成符合指定结构的JSON
• 统一日期和电子邮箱地址格式
• 使用固定标签对文本分类

将文字需求或Mermaid转换为可交互的系统架构与业务流程HTML图。支持搜索、追踪关系及图片和视频导出，并附上九项验证结果。

• 分享可交互的系统架构图
• 展示业务步骤和数据流
• 将Mermaid转换为HTML图

将科学原理、物体结构和工作流程整理为简洁的SVG图，统一配色与留白，自动适应明暗模式，并输出可在浏览器直接打开的单个HTML文件。

• 为教材绘制科学原理图
• 用剖面图或分层图解释结构
• 展示工作流程和数据流向

帮助将Firecrawl的`/search`集成到应用或智能体流程中，从搜索词找到候选网页、选择信息来源，并决定是否进一步获取页面正文。

• 为带出处的回答寻找信息来源
• 探索企业、竞争对手或主题
• 筛选值得深入阅读的网页

帮助将Firecrawl的`/interact`集成到应用中，通过点击、填写表单和翻页获取网页信息，并设计读取页面后保留浏览器状态的流程。

• 获取点击后才显示的内容
• 操作搜索表单和筛选条件
• 获取分布在多页的结果

帮助将常用任务指令整理为Claude Code斜杠命令，涵盖参数传递、文件引用、执行工具指定，以及包含用户交互的流程编排。

• 将固定审查指令整理为命令
• 通过参数指定文件或问题编号
• 共享团队通用工作流程

Review Caveman Cloud spending, latency, errors, and potential improvements using current reports and traces, or individual execution records. Produce findings tied to time windows and trace IDs, while keeping measured costs, estimated opportunities, and verified savings separate.

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• Understanding which workflows drive LLM spending
• Investigating slow responses and errors
• Reviewing measured costs and verified savings separately

Guide Ramp setup and spending workflows in Paperclip using current official instructions. Account applications, card creation, payments, and financial data sharing require explicit approvals that define the permitted action, amount, and data.

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• Prepare a Ramp account application
• Set up agent cards with approval
• Handle spending and payment approval workflows

Create a blank Figma Design or FigJam file as the starting point for agent workflows. Use it to prepare a new workspace before building a design system or organizing workshop activities.

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• Starting a blank Figma Design file
• Preparing a FigJam file for a workshop
• Beginning a scripted design-system workflow

Clarify requests for visual output by adding design specifications and UI/UX vocabulary, the language of interfaces and user experience. Use it to refine prompts for screen design or workflows that turn designs into code.

中文简介正在准备中。当前显示英语简介。

• Clarifying a request for a visual design
• Refining prompts for turning designs into code
• Adding UI/UX vocabulary to a design request

Connect agent tasks into a sequence where each step receives the previous output. Use custom prompts or predefined workflows to analyze code, plan refactoring, generate tests, optimize performance, or transform data through multiple stages.

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• Turn code analysis into an improvement plan
• Prioritize and refactor existing code
• Find test gaps and generate unit tests

Create and improve GitHub Actions workflows for automated testing and deployment. Coordinate multiple AI agents to review pull requests, investigate failed runs, scan for security issues, and manage releases across repositories.

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• Create workflows for automated testing and deployment
• Investigate failed runs and suggest fixes
• Coordinate code reviews and security checks