S

sf-ai-agentforce

by @jaganprov
4.3(20)

Salesforce Agentforceプラットフォームの標準開発パス。宣言型テーマ、Builder管理操作、Prompt Builderテンプレート、Models API統合をサポート。

salesforceai-agentscrmsales-automationplatform-developmentGitHub
インストール方法
npx skills add jaganpro/sf-skills --skill sf-ai-agentforce
compare_arrows

Before / After 効果比較

1
使用前

Salesforce Agentの手動設定、複雑なトリガーの記述、会話フローの設計、カスタムコードの保守が必要で、開発サイクルが長く、深い技術的知識が求められます。

使用後

宣言型トピックとBuilderツールを使用してAIエージェントを迅速に開発し、PromptテンプレートとAPI統合を自動生成することで、開発の敷居を大幅に下げ、スマートカスタマーサービスを迅速に展開できます。

SKILL.md

sf-ai-agentforce

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

Path Skill Best fit

Builder metadata path sf-ai-agentforce Declarative maintenance, existing Builder agents, metadata-driven action registration

Agent Script authoring bundle path sf-ai-agentscript Code-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

  • Confirm this is a Builder / Setup UI project

  • Pick Service Agent vs Employee Agent

  • For Service Agents, provision the running user (prefer sf org create agent-user)

  • For Employee Agents, plan visibility with a Permission Set containing <agentAccesses>

  • Define topics with strong descriptions, scope, and instructions

  • Prepare supporting actions (Flow, Apex, Prompt Builder template)

  • Configure inputs / outputs carefully

  • Validate dependencies and template status

  • 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 type Typical use Registered via

Flow safest default for Builder actions GenAiFunction

Apex complex business logic via @InvocableMethod GenAiFunction

Prompt Builder template generated summaries / drafts / recommendations GenAiFunction

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:

  • metadata / fields if needed

  • Apex if needed

  • Flows if needed

  • GenAiPromptTemplate / GenAiFunction / GenAiPlugin

  • 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

Requirement Delegate to Why

Create / fix Flows sf-flow Action target creation and Flow validation

Create / fix Apex actions sf-apex @InvocableMethod and Apex correctness

Deploy / publish sf-deploy Deployment orchestration

Test the agent sf-ai-agentforce-testing Formal test execution and assertions

Employee Agent visibility / access sf-permissions Permission Set <agentAccesses> setup

High-Signal Failure Patterns

Symptom Likely cause Read next

Action not available in Builder target metadata missing or not deployed references/metadata-reference.md

Prompt action fails during publish or activation template is Draft, missing inputs, or old metadata shape is being used references/genaiprompttemplate.md

Need more than 5 template inputs flex template input limit hit references/genaiprompttemplate.md

Apex AI logic times out Models API work placed in the wrong context references/models-api.md

Rich input/output UI not rendering Lightning type config or prerequisites are incomplete references/custom-lightning-types.md

Agent publishes but is not usable forgot explicit activation references/cli-commands.md

Service Agent publish/runtime failure missing or invalid running user ../sf-ai-agentscript/references/agent-user-setup.md

Employee Agent active but not visible to users missing <agentAccesses> permission set ../sf-permissions/references/agent-access-guide.md

Reference Map

Start here

Terminology and template planning

Rubric

Cross-skill reads

Score Guide

Score Meaning

90+ Ready to deploy

80–89 Strong, minor cleanup only

70–79 Review before deploy

60–69 Needs work

< 60 Block deployment

Full rubric: references/scoring-rubric.md Weekly Installs447Repositoryjaganpro/sf-skillsGitHub Stars298First SeenJan 22, 2026Security AuditsGen Agent Trust HubPassSocketPassSnykPassInstalled oncodex435opencode433cursor432github-copilot431gemini-cli431amp430

ユーザーレビュー (0)

レビューを書く

効果
使いやすさ
ドキュメント
互換性

レビューなし

統計データ

インストール数1.1K
評価4.3 / 5.0
バージョン
更新日2026年5月17日
比較事例1 件

ユーザー評価

4.3(20)
5
50%
4
50%
3
0%
2
0%
1
0%

この Skill を評価

0.0

対応プラットフォーム

🔧Claude Code

タイムライン

作成2026年4月9日
最終更新2026年5月17日