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Agent Skill · AI 工具

sf-ai-agentforce(SF AI 特工部队)

sf-ai-agentforce 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。

sf-ai-agentforce 是AI 工具类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证为 MIT,第三方扫描已通过,按安装量在AI 工具类的 2,536 个 Skill 里排第 97。

总安装 23,520周安装 961GitHub Stars 401下载 8,240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
MIT

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:sf-ai-agentforce(SF AI 特工部队)
来源仓库:https://github.com/jaganpro/sf-skills
仓库路径:skills/sf-ai-agentforce
安装命令:
npx skills add https://github.com/jaganpro/sf-skills --skill sf-ai-agentforce
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/jaganpro/sf-skills --skill sf-ai-agentforce

这个 Skill 是做什么的

AI 工具类 Skill 用来扩展助手本身的能力,例如接模型、接检索、接外部服务。

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合围绕仓库状态、代码变更或协作事项进行整理。可结合来源仓库、安装命令和原始 README 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。

sf-ai-agentforce 属于AI 工具类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/sf-ai-agentforce

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/jaganpro/sf-skills --skill sf-ai-agentforce;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

    它需要需要联网,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

sf-ai-agentforce 怎么安装?

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

sf-ai-agentforce 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。

sf-ai-agentforce 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

sf-ai-agentforce 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

sf-ai-agentforce 用的人多吗?

公开数据是累计安装 23,520 次,近一周安装 961 次,下载 8,240 次,GitHub 401 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。

sf-ai-agentforce 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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 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

  • 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AI 工具类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

AI 工具类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
executing-plans

执行计划 · Codex、Claude

1,515,336173,110只读MIT通过
verification-before-completion

完成前的验证 · Codex、Claude

1,319,472173,121权限未标注MIT通过
subagent-driven-development

子 Agent 驱动开发 · Codex、Claude

1,312,416173,138只读MIT通过
copy-editing

复制编辑 · Codex、Claude

1,209,57625,632只读MIT通过
paywall-upgrade-cro

付费专区升级 cro · Codex、Claude

1,030,17625,617只读MIT通过
sf-ai-agentforce

SF AI 特工部队 · 本页

23,520401需要联网MIT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

sf-ai-agentforce: Standard Agentforce Platform Development

Use this skill for the Setup UI / Agent Builder path: declarative topics, Builder-managed actions, GenAiFunction / GenAiPlugin metadata, Prompt Builder templates stored as GenAiPromptTemplate metadata, Models API usage from Apex, and custom Lightning types.

For new code-first agent development, prefer sf-ai-agentscript. If the work produces or edits a .agent file — including Builder Script / Canvas work that results in an authoring bundle — use sf-ai-agentscript.

When This Skill Owns the Task

Use sf-ai-agentforce when the user is:

  • maintaining existing Builder-based agents
  • working in Setup → Agentforce → Agents
  • creating or fixing GenAiFunction, GenAiPlugin, or GenAiPromptTemplate metadata
  • wiring Builder topics to Flow / Apex / Prompt Builder actions
  • using Models API or LightningTypeBundle in the context of Builder-based agents

Do not use it for:


Required Context to Gather First

Ask for or infer:

  • whether this is a Builder / Setup UI project or a code-first Agent Script project
  • whether the user is editing Builder metadata or a .agent authoring bundle
  • agent type: Service Agent or Employee Agent
  • whether the work targets topics, actions, Prompt Builder templates, Models API, or custom Lightning types
  • what supporting Flow / Apex / metadata dependencies already exist
  • whether the user needs authoring help, publish help, or troubleshooting

Two Agentforce Paths

PathSkillBest fit
Builder metadata pathsf-ai-agentforceDeclarative maintenance, existing Builder agents, metadata-driven action registration
Agent Script authoring bundle pathsf-ai-agentscriptCode-first .agent authoring, deterministic routing, version-controlled agent logic

If the user is starting from scratch and wants strong control over flow/state, route to Agent Script.


Builder Workflow Summary

  1. Confirm this is a Builder / Setup UI project
  2. Pick Service Agent vs Employee Agent
  3. For Service Agents, provision the running user (prefer sf org create agent-user)
  4. For Employee Agents, plan visibility with a Permission Set containing <agentAccesses>
  5. Define topics with strong descriptions, scope, and instructions
  6. Prepare supporting actions (Flow, Apex, Prompt Builder template)
  7. Configure inputs / outputs carefully
  8. Validate dependencies and template status
  9. Publish, then activate

Expanded workflow: references/builder-workflow.md


Key Platform Rules

Topic quality matters

Topic descriptions are routing instructions for the planner. They must be:

  • specific
  • scenario-based
  • non-overlapping with sibling topics

Actions are wrappers around real targets

Target typeTypical useRegistered via
Flowsafest default for Builder actionsGenAiFunction
Apexcomplex business logic via @InvocableMethodGenAiFunction
Prompt Builder templategenerated summaries / drafts / recommendationsGenAiFunction

Prompt Template vs GenAiPromptTemplate

  • Prompt Template is the plain-English / UI term used in Prompt Builder.
  • GenAiPromptTemplate is the current Metadata API type for source-driven template work.
  • Prefer current source format: genAiPromptTemplates/*.genAiPromptTemplate-meta.xml.
  • For flexible Prompt Builder templates, plan around the 5-input maximum and consolidate inputs when needed.
  • Prompt content should reference inputs with the current merge-field shape, e.g. {!$Input:TargetRecord} or {!$Input:AdditionalContext}.

Supporting metadata deploys first

Before publishing the agent itself, deploy the supporting stack:

  1. metadata / fields if needed
  2. Apex if needed
  3. Flows if needed
  4. GenAiPromptTemplate / GenAiFunction / GenAiPlugin
  5. then publish the agent

Service Agent running user

For Service Agents, prefer the native GA command: sf org create agent-user --target-org <alias> --json Use the returned username in the running-user configuration.

Employee Agent visibility

For Employee Agents, ensure end users receive a Permission Set containing <agentAccesses>. Without this, the agent can be active but still invisible in Lightning Experience. See ../sf-permissions/references/agent-access-guide.md.

Publish does not activate

After publish, run sf agent activate separately. For automation, prefer sf agent activate --api-name <AgentName> --version <n> --target-org <alias> --json so the rollout is deterministic and machine-readable.


Metadata Guidance

GenAiFunction

Use when registering a single callable action. Validate:

  • target exists
  • target is active / deployable
  • input names match the target contract
  • output names match the target contract
  • capability text clearly says when the action should be used

GenAiPlugin

Use when grouping related functions into one logical package.

GenAiPromptTemplate

Use for generated content, not deterministic business rules.

Prefer the current metadata shape:

  • metadata type: GenAiPromptTemplate
  • folder: genAiPromptTemplates/
  • file suffix: .genAiPromptTemplate-meta.xml
  • content lives under templateVersions
  • use published template versions before wiring actions that depend on them

Models API

Use when the solution belongs in Apex-driven AI orchestration rather than Builder-only actions.

Custom Lightning Types

Use when the action needs richer structured input or output presentation.

Expanded references:


Cross-Skill Integration

Recommended Orchestration Order

sf-metadata → sf-apex → sf-flow → sf-ai-agentforce → sf-deploy

Required delegations

RequirementDelegate toWhy
Create / fix Flowssf-flowAction target creation and Flow validation
Create / fix Apex actionssf-apex@InvocableMethod and Apex correctness
Deploy / publishsf-deployDeployment orchestration
Test the agentsf-ai-agentforce-testingFormal test execution and assertions
Employee Agent visibility / accesssf-permissionsPermission Set <agentAccesses> setup

High-Signal Failure Patterns

SymptomLikely causeRead next
Action not available in Buildertarget metadata missing or not deployedreferences/metadata-reference.md
Prompt action fails during publish or activationtemplate is Draft, missing inputs, or old metadata shape is being usedreferences/genaiprompttemplate.md
Need more than 5 template inputsflex template input limit hitreferences/genaiprompttemplate.md
Apex AI logic times outModels API work placed in the wrong contextreferences/models-api.md
Rich input/output UI not renderingLightning type config or prerequisites are incompletereferences/custom-lightning-types.md
Agent publishes but is not usableforgot explicit activationreferences/cli-commands.md
Service Agent publish/runtime failuremissing or invalid running user../sf-ai-agentscript/references/agent-user-setup.md
Employee Agent active but not visible to usersmissing <agentAccesses> permission set../sf-permissions/references/agent-access-guide.md

Reference Map

Start here

Terminology and template planning

Rubric

Cross-skill reads


Score Guide

ScoreMeaning
90+Ready to deploy
80–89Strong, minor cleanup only
70–79Review before deploy
60–69Needs work
< 60Block deployment

Full rubric: references/scoring-rubric.md

平台分布

Codex

29.25%
按下载量换算2,410

Claude Code

20.74%
按下载量换算1,709

kilo

17.19%
按下载量换算1,416

windsurf

12.67%
按下载量换算1,044

amp

7.23%
按下载量换算596

clawdbot

3.53%
按下载量换算291

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。

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