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Agent Skill · 开发

generating-flow(产生流量)

generating-flow 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

generating-flow 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 4,266。

总安装 8,616周安装 359GitHub Stars 212下载 2,872核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:generating-flow(产生流量)
来源仓库:https://github.com/forcedotcom/afv-library
仓库路径:skills/generating-flow
安装命令:
npx skills add https://github.com/forcedotcom/afv-library --skill generating-flow
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/forcedotcom/afv-library --skill generating-flow

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

用于处理 GitHub 仓库、Issue 和 Pull Request 信息,适合开发协作场景。可围绕仓库状态和代码变更进行整理。通过 npx skills add 命令从 GitHub 仓库安装。安装前需确认权限范围和维护状态,避免误触联网或文件读写。

generating-flow 属于开发类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/generating-flow

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/forcedotcom/afv-library --skill generating-flo…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

generating-flow 怎么安装?

在终端执行 npx skills add https://github.com/forcedotcom/afv-library --skill generating-flow。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

generating-flow 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

generating-flow 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

generating-flow 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

generating-flow 用的人多吗?

公开数据是累计安装 8,616 次,近一周安装 359 次,下载 2,872 次,GitHub 212 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

generating-flow 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
generating-flow

产生流量 · 本页

8,616212调用外部服务未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Goal

Generate Salesforce Flow metadata by running the required 3-step MCP pipeline (fetchGroundedObjectMetadata → flowElementSelection → flowElementGeneration) and return the flow XML.

When to Use This Skill

Use this skill when you need to:

  • Create any type of Flow (Screen, Autolaunched, Record-Triggered, Scheduled)
  • Generate Flow metadata XML
  • Automate business processes without code
  • Build user-guided workflows or background automation
  • Troubleshoot deployment errors related to Flows

Specification

Flow Metadata Specification

Overview

Salesforce Flows are powerful automation tools that enable complex business process automation without code. Flows can collect and process data through interactive screens, execute logic and calculations, manipulate records, call external services, and trigger based on various events. Flow types include Screen Flows (user-guided), Autolaunched Flows (background processing), Record-Triggered Flows (database events) and Scheduled Flows (time-based).

Purpose

  • Automate complex business processes with declarative logic and branching
  • Guide users through multi-step data collection and decision workflows via Screen Flows
  • Perform CRUD operations on Salesforce records automatically
  • Execute background processing and integrations via Autolaunched Flows
  • React to record changes in real-time with Record-Triggered Flows
  • Schedule recurring tasks and batch operations with Scheduled Flows
  • Create reusable, maintainable automation that admins can modify without code

Flow Generation Pipeline

MANDATORY: You MUST follow this exact 3-step pipeline. No exceptions. No shortcuts. No skipping steps. Do NOT manually create flow metadata XML or attempt to generate flow metadata outside of this pipeline. Do NOT attempt to use any other tool, API, or method to generate flow metadata. This pipeline is the ONLY supported way to generate flows. Any deviation will produce invalid or broken metadata.

MCP Connection Details

All 3 pipeline steps MUST be called using this MCP tool:

  • MCP Tool Name: execute_metadata_action
  • The action parameter selects which pipeline step to run: "fetchGroundedObjectMetadata", "flowElementSelection", or "flowElementGeneration"

Flow generation is a strict 3-step pipeline. ALL steps must be called in order. Every step is required. There is no alternative approach — this is the only way to generate flow metadata:

Step 1 (REQUIRED): Fetch Grounded Object Metadata (fetchGroundedObjectMetadata)

Fetches org schema metadata relevant to the flow generation request. This step is mandatory and must always be called first.

Inputs (all required):

  • userPrompt (STRING, REQUIRED): The user's natural language request
  • inflightMetadata (ARRAY, REQUIRED): Custom objects/fields from local sfdx project. Use empty array [] if none needed.

Outputs:

  • groundingMetadata (STRING): Grounded object metadata for org schema relevant to the request, returned as a JSON string. You must pass this directly to Step 2 — it is already a string and does not need to be serialized again.

Step 2 (REQUIRED): Flow Element Selection (flowElementSelection)

Selects flow elements (assignments, decisions, record ops, etc.) and their connections based on the user prompt and grounded metadata. This step is mandatory and must be called after Step 1.

Inputs (all required):

  • userPrompt (STRING, REQUIRED): The user's natural language request (must be the same value as Step 1)
  • groundingMetadata (STRING, REQUIRED): Org schema metadata (must be the exact string returned from Step 1 output — pass it directly, do NOT serialize it again)
  • operationId (STRING, REQUIRED): Operation ID (use empty string "" for first call)

Outputs:

  • operationId (STRING): Operation ID. You must pass this to Step 3.
  • userOutput (STRING): Reasoning for next steps. You can show this to the user.

Step 3 (REQUIRED): Flow Element Generation (flowElementGeneration)

Generates flow metadata element by element. This step is mandatory and must be called after Step 2. Must be called repeatedly in a loop until isComplete is true.

Inputs (all required):

  • operationId (STRING, REQUIRED): Operation ID from Step 2 output
  • requestSource (STRING, REQUIRED): The source of the request. Use "A4V" to get flow metadata in XML format.

Outputs:

  • isComplete (BOOLEAN): Indicates if the flow generation is complete. You must check this value.
  • result (STRING): Result of the flow element generation. Contains the final flow metadata only when isComplete is true.

MANDATORY: Loop until complete. NEVER pause or ask the user to confirm continuation.

  • A flow can have any number of elements (10, 15, or more). Each call generates one element at a time, so you may need many iterations. This is expected and normal.
  • Call flowElementGeneration with the operationId from Step 2 and requestSource (use "A4V" for XML output, empty string or other value for JSON).
  • Check the isComplete output and the result field after each call.
  • If isComplete is false and no errors are returned, you MUST call flowElementGeneration again with the same operationId from Step 2. Do NOT ask the user if they want to continue. Do NOT pause. Do NOT summarize progress mid-loop. Just keep calling.
  • Do NOT stop until isComplete is true or the invocable action returns errors. There is no maximum number of iterations — keep going regardless of how many calls it takes.
  • When isComplete is true, extract the flow metadata from the result field.
  • If errors are returned, stop the loop and surface the error to the user.

STRICT CONSTRAINTS (CRITICAL) — These rules apply to the XML returned by the generation pipeline:

  • DO NOT modify the content, values, or child nodes inside any block.
  • DO NOT add new nodes, tags, attributes, or text (do not add missing labels, X/Y coordinates, etc.).
  • DO NOT remove any existing nodes.

inflightMetadata Format

DATA TYPE: ARRAY (not string)

STRICT NAMING CONVENTION - MUST FOLLOW EXACTLY:

PropertyCorrect NameDo NOT Use
Object API nameapiNameobjectApiName, name, objectName
Field API nameapiNamefieldApiName, name, fieldName
Field typetypefieldType, dataType
Lookup targetreferenceTorelatedTo, lookupTo, reference

When custom objects are needed (sample format showing multiple field data types):

[
  {
    "type": "CustomObject",
    "apiName": "CustomerRequest__c",
    "label": "Customer Request",
    "fields": [
      {
        "apiName": "Status__c",
        "type": "Picklist",
        "label": "Status",
        "values": ["New", "In Progress", "Completed"]
      },
      {
        "apiName": "Priority__c",
        "type": "Number",
        "label": "Priority"
      },
      {
        "apiName": "AssignedTo__c",
        "type": "Lookup",
        "label": "Assigned To",
        "referenceTo": "User"
      },
      {
        "apiName": "Description__c",
        "type": "Textarea",
        "label": "Description"
      },
      {
        "apiName": "Email__c",
        "type": "Email",
        "label": "Contact Email"
      },
      {
        "apiName": "DueDate__c",
        "type": "Date",
        "label": "Due Date"
      },
      {
        "apiName": "IsUrgent__c",
        "type": "Boolean",
        "label": "Is Urgent"
      },
      {
        "apiName": "Amount__c",
        "type": "Currency",
        "label": "Amount"
      }
    ],
    "relationships": []
  }
]

Supported field types: Text, Textarea, Number, Picklist, Lookup, Email, Phone, URL, Date, Datetime, Boolean, Checkbox, Currency, Percent

When no custom objects needed:

[]

MANDATORY Decision Logic for inflightMetadata (DATA TYPE: ARRAY)

  1. REQUIRED - First: Scan the local sfdx project for custom objects and fields that are relevant to the user's flow request.
  2. If relevant custom objects ARE found: You MUST extract and pass them as an array of structured objects (see format above)
  3. If NO relevant custom objects found: You MUST pass an empty array [] (NOT the string "[]")
  4. NEVER: Pass text descriptions, instructions, or string representations in inflightMetadata
  5. MANDATORY: The data type MUST be ARRAY, not STRING

Instructions for Vibes when custom objects ARE relevant:

  • Extract the object metadata and map to JSON properties:

- apiName: The object's API name (with __c suffix for custom objects) - label: The object's display label - type: Set to "CustomObject" - fields: Array of field objects, each containing: - apiName: The field's API name (with __c suffix for custom fields) - type: The field type (Text, Number, Picklist, Lookup, etc.) - label: The field's display label - values: (Picklist only) Array of picklist values - referenceTo: (Lookup only) The target object API name

  • Include only objects and fields that are relevant to the flow being generated

🎯 Mandatory Enhancement Rules

  • userPrompt: REQUIRED.

- If the user requests a single flow: use the user's prompt as-is. - If the user requests multiple flows: you MUST split the request and write a separate, focused userPrompt for each individual flow. Each userPrompt must describe only ONE flow. Do NOT pass the entire multi-flow request as a single userPrompt. See the multiple flows section below for examples.

  • inflightMetadata: REQUIRED. Always use ARRAY data type.

- MUST use [] (empty array) when no custom objects needed - MUST use structured array of objects when custom objects are relevant - NEVER use string "[]" - this is incorrect - NEVER use text descriptions - only structured object metadata

MANDATORY: Multiple Flows = Multiple Separate Pipelines

FIRST: Before calling any pipeline step, check if the user's request contains multiple flows. If it does, you MUST split it into separate single-flow prompts. Each flow gets its own 3-step pipeline with its own userPrompt that describes ONLY that one flow.

NEVER pass a multi-flow request as a single userPrompt field. NEVER club multiple flow descriptions into one userPrompt.

When the user requests multiple flows (e.g., "Create flows for my app: 1)... 2)... 3)..."), you MUST:

  1. Split the request into separate individual flow descriptions.
  2. Run a separate 3-step pipeline for each flow, using a userPrompt that describes ONLY that one flow.
  3. Execute ALL pipelines SEQUENTIALLY — one after another, NEVER in parallel. Do NOT stop after the first flow. Do NOT wait for the user to ask you to continue. Do NOT summarize and stop. Keep going until every requested flow has been fully generated.

WRONG - Multiple flows clubbed into one userPrompt:

{
  "userPrompt": "Create flows for the app: 1) Record-Triggered Flow on ResourceAllocation__c to update Resource__c. 2) Screen Flow to allocate resources. 3) Record-Triggered Flow on Supply__c to auto-flag Low_Stock__c.",
  ...
}

CORRECT - Separate call for EACH flow:

Flow 1 - Step 1 (fetchGroundedObjectMetadata):

{
  "userPrompt": "Create a Screen Flow named Tenant_Onboarding that captures tenant details, selects a Unit__c with Status__c = 'Vacant', creates Lease__c...",
  "inflightMetadata": [...]
}

Then call Step 2 (flowElementSelection) with the groundingMetadata from Step 1, then Step 3 (flowElementGeneration) with the operationId from Step 2.

Flow 2 - Step 1 (fetchGroundedObjectMetadata):

{
  "userPrompt": "Create an Autolaunched Flow named Generate_Onboarding_Checklist that given a Lease__c Id input, queries OnboardingTask__c...",
  "inflightMetadata": [...]
}

Then call Step 2 and Step 3 for this flow.

Flow 3 - Step 1 (fetchGroundedObjectMetadata):

{
  "userPrompt": "Create a Record-Triggered Flow named Sync_Unit_On_Lease_Changes that on insert and update of Lease__c...",
  "inflightMetadata": [...]
}

Then call Step 2 and Step 3 for this flow.

Mandatory Rules:

  • If there are N flows to generate, there MUST be N separate 3-step pipelines and ALL N pipelines MUST be executed. No exceptions. Do NOT stop after generating only one flow.
  • You MUST fully complete the current flow's 3-step pipeline (including looping Step 3 until isComplete is true or errors are returned) BEFORE starting the next flow's pipeline. Do NOT interleave or parallelize pipelines across flows. Everything is SEQUENTIAL — NEVER parallel.
  • After completing a flow's pipeline, immediately start the next flow's pipeline. Do NOT pause, summarize, or wait for user confirmation between flows.
  • For each flow, you MUST scan the local sfdx project to populate inflightMetadata with custom objects/fields specific to that flow prompt.
  • Each flow pipeline MUST have its own inflightMetadata containing only the objects/fields relevant to that particular flow.

Example Tool Calls

Example 1: Standard objects only (no custom objects)

Step 1 - fetchGroundedObjectMetadata:

{
  "userPrompt": "Create a scheduled-triggered Flow named Daily_Good_Morning that runs daily at 6:00 AM and sends an email to the running user saying good morning.",
  "inflightMetadata": []
}

Step 2 - flowElementSelection:

{
  "userPrompt": "Create a scheduled-triggered Flow named Daily_Good_Morning that runs daily at 6:00 AM and sends an email to the running user saying good morning.",
  "groundingMetadata": "<groundingMetadata string from Step 1 — pass directly, do not serialize again>",
  "operationId": ""
}

Step 3 - flowElementGeneration (call in a loop):

{
  "operationId": "<operationId from Step 2>",
  "requestSource": "A4V"
}

Call repeatedly with the same operationId until isComplete is true or errors are returned. A flow can have any number of elements, so expect multiple iterations. When isComplete is true, extract the flow metadata from the result field. Use "requestSource": "A4V" to get flow metadata in XML format.

Example 2: With custom objects from local sfdx project

Step 1 - fetchGroundedObjectMetadata:

{
  "userPrompt": "Create a flow that updates the status of a Customer Request when it's assigned",
  "inflightMetadata": [
    {
      "type": "CustomObject",
      "apiName": "CustomerRequest__c",
      "label": "Customer Request",
      "fields": [
        {
          "apiName": "Status__c",
          "type": "Picklist",
          "label": "Status",
          "values": ["New", "In Progress", "Completed"]
        },
        {
          "apiName": "AssignedTo__c",
          "type": "Lookup",
          "label": "Assigned To",
          "referenceTo": "User"
        }
      ],
      "relationships": []
    }
  ]
}

Step 2 - flowElementSelection:

{
  "userPrompt": "Create a flow that updates the status of a Customer Request when it's assigned",
  "groundingMetadata": "<groundingMetadata string from Step 1 — pass directly, do not serialize again>",
  "operationId": ""
}

Step 3 - flowElementGeneration (call in a loop):

{
  "operationId": "<operationId from Step 2>",
  "requestSource": "A4V"
}

Call repeatedly with the same operationId until isComplete is true or errors are returned. A flow can have any number of elements, so expect multiple iterations. When isComplete is true, extract the flow metadata from the result field. Use "requestSource": "A4V" to get flow metadata in XML format.

Mandatory Best Practices

  • ALWAYS follow the 3-step pipeline: fetchGroundedObjectMetadata → flowElementSelection → flowElementGeneration. This is the ONLY way to generate flow metadata. There are no alternatives.
  • Do NOT manually create flow metadata XML, JSON, or any other format outside of this pipeline.
  • When the user explicitly requests fixes to validation or deployment errors in an already-generated flow XML, you ARE permitted to make targeted manual edits to the XML to resolve those errors. This is the only exception to the "no manual metadata" rule.
  • Do NOT attempt to "optimize" by skipping steps or combining steps. Each step is atomic and required.
  • NEVER skip any step in the pipeline. All 3 steps are required.
  • NEVER try to generate flow metadata without calling all 3 steps.
  • NEVER deviate from this pipeline under any circumstance — even if you think you know the flow structure.
  • For single flow requests: you MUST use the user prompt as userPrompt.
  • For multiple flow requests: you MUST run a separate 3-step pipeline for each flow SEQUENTIALLY (one after another, NEVER in parallel), and you MUST execute ALL of them — do NOT stop after the first flow.
  • You MUST put flow requirements in userPrompt, NOT in inflightMetadata.
  • inflightMetadata is ONLY for custom object/field metadata from local project (see above). No exceptions.
  • Step 3 MUST be called in a loop with the same operationId from Step 2 until isComplete is true or errors are returned. A flow can have any number of elements — do NOT stop early, do NOT pause to ask the user if they want to continue, regardless of how many iterations it takes.
  • You MUST only extract the flow metadata from the result field when isComplete is true.

CRITICAL Verification Checklist (MUST VERIFY BEFORE AND AFTER EVERY FLOW GENERATION)

Failure to follow this checklist exactly will result in broken or missing flow metadata.

  • Pipeline: ALL 3 steps are called in strict order (fetchGroundedObjectMetadata → flowElementSelection → flowElementGeneration). No step is skipped.
  • No manual metadata: Flow metadata is NOT manually created, modified, or generated outside of this pipeline by any means
  • No deviation: No alternative tools, APIs, or methods were used instead of or alongside this pipeline
  • userPrompt contains a single flow prompt. If user requested multiple flows, the request was split and each pipeline received a separate userPrompt describing only one flow
  • userPrompt is passed consistently to both Step 1 and Step 2 (same value)
  • inflightMetadata is ARRAY data type (NOT string)
  • inflightMetadata is [] when no custom objects needed
  • inflightMetadata contains structured objects extracted by scanning the local sfdx project for relevant custom objects/fields
  • inflightMetadata does NOT contain "[]" (string) - must be [] (array)
  • inflightMetadata does NOT contain text descriptions or instructions
  • groundingMetadata from Step 1 output is passed directly to Step 2 input (it is already a string — do NOT serialize it again)
  • operationId from Step 2 output is passed to Step 3 input
  • requestSource should be set to "A4V" always
  • Step 3 is called in a loop with the same operationId from Step 2 until isComplete is true or errors are returned — no pausing, no asking the user to continue, no matter how many iterations
  • Multi-flow: Each flow's full pipeline is completed before starting the next flow's pipeline (no interleaving)
  • result field is used to extract the XML flow metadata only when isComplete is true
  • No additions to XML: NO elements, attributes, or properties were added that were not present in the original pipeline output. Nothing was inserted (no <label>, <description>, or any other node). The final XML must be identical to what the pipeline returned.
  • Error fix exception: If the user explicitly requested fixes to validation/deployment errors, targeted manual edits to the XML are permitted and the "No additions to XML" / "No manual metadata" constraints do not apply to those edits.

平台分布

Codex

33.6%
按下载量换算965

Claude

31.63%
按下载量换算908

Cursor

18.31%
按下载量换算526

Gemini CLI

8.86%
按下载量换算254

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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