sf-ai-agentforce
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。
npx skills add jaganpro/sf-skills --skill sf-ai-agentforceBefore / After 効果比較
1 组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。
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。
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, orGenAiPromptTemplatemetadata -
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:
-
.agentfiles or deterministic FSM design → sf-ai-agentscript -
agent test suites and coverage loops → sf-ai-agentforce-testing
-
persona / voice design → sf-ai-agentforce-persona
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
.agentauthoring 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.
-
GenAiPromptTemplateis 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
レビューなし
統計データ
ユーザー評価
この Skill を評価