Claude Marketplaces
SkillsMCP serversMarketplacesDigestTools
Submit

This week in Claude

Every Monday: Claude Code, Agent SDK, MCP, and the Anthropic platform moves worth your time.

Skills by category
Frontend DevelopmentBackend & APIsTesting & QASecurityDevOps & CI/CDGit & Pull RequestsDocumentationCode Review & QualityAI & Agent BuildingSkill Development
MCP servers by category
Sales & MarketingWeb & Browser AutomationDatabasesAI & LLM ToolsCloud & InfrastructureCommunication & MessagingDeveloper ToolsDesign & CreativeDocuments & KnowledgeSearch & Web Crawling
Marketplaces by category
AI Agents & OrchestrationLLM IntegrationDevelopment ToolsFrontend & UIBackend & APIsDatabasesTesting & Code QualityDevOps & CloudSecurity & ComplianceGit & Version Control
Claude Marketplaces

An independent directory of skills, plugins and MCP servers for Claude Code. Not affiliated with Anthropic.

Browse

  • Skills
  • MCP servers
  • Marketplaces
  • Weekly digest
  • Skill index
  • MCP index
  • Marketplace index

Site

  • About
  • Tools
  • Submit
  • Feedback
  • Privacy
  • llms.txt
  • Plugins reference

Maker

  • Snug
  • Agent Caffeine
  • knobs
  • Wax
  • Vectoys
  • mertduzgun.com
Crafted at
Skills/AI & Agent Building
jaganpro avatar

Sf Ai Agentscript

jaganpro/sf-skills

This is the code-first path for building deterministic Agentforce agents using Agent Script DSL and .agent files. It's for when you need repeatable control over routing, slot filling, and state transitions instead of letting the planner improvise. The skill walks you through finite-state topic flows, CLI workflows (generate, validate, preview, publish), and the gotchas that break compilation: no else-if, no nested ifs, booleans are True/False, and tabs will ruin your day. It includes an activation checklist, Service vs Employee Agent setup rules, and validator error IDs. Use this when you're authoring bundles or need compliance-grade guardrails. Delegate to sf-ai-agentforce if you're working in Builder metadata or building test coverage loops.

installs
1.4K
GitHub stars
424
last updated
Jul 14, 2026
View on GitHubSave

Install

$ npx -y skills add jaganpro/sf-skills --skill sf-ai-agentscript --agent claude-code

Installs into .claude/skills of the current project.

Files

SF-AI-AgentScript Skill

Agent Script is the code-first path for deterministic Agentforce agents. Use this skill when the user is authoring .agent files, building finite-state topic flows, or needs repeatable control over routing, variables, actions, and publish behavior.

Start with the shortest guide first: references/activation-checklist.md

Migrating from the Builder UI? Use references/migration-guide.md

When This Skill Owns the Task

Use sf-ai-agentscript when the work involves:

  • creating or editing .agent files
  • deterministic topic routing, guards, and transitions
  • Agent Script CLI workflows (sf agent generate authoring-bundle, sf agent validate authoring-bundle, sf agent preview, sf agent publish authoring-bundle, sf agent activate)
  • slot filling, instruction resolution, post-action loops, or FSM design

Delegate elsewhere when the user is:

  • maintaining Builder metadata agents (GenAiFunction, GenAiPlugin, GenAiPromptTemplate, Models API, custom Lightning types) → sf-ai-agentforce
  • designing persona / tone / voice → sf-ai-agentforce-persona
  • building formal test plans or coverage loops → sf-ai-agentforce-testing

If the user is in Builder Script / Canvas view but the outcome is a .agent authoring bundle, keep the work in sf-ai-agentscript.


Right-Size Determinism

  • Determinism is a dial, not a destination.
  • Use Agent Script when “mostly right” is not acceptable: gates, mandatory sequencing, explicit state transitions, compliance, or drift control.
  • If a workflow is fully static and linear, use Flow or Apex instead of scripting the conversation.
  • Prefer a deterministic envelope: deterministic entry/gate → flexible middle → deterministic closeout.
  • More determinism is not automatically better. Start minimal, then harden only the parts that show routing drift, sequencing failures, or compliance risk.

Required Context to Gather First

Ask for or infer:

  • agent purpose and whether Agent Script is truly the right fit
  • Service Agent vs Employee Agent
  • target org and publish intent
  • expected actions / targets (Flow, Apex, PromptTemplate, etc.)
  • whether the request is authoring, validation, preview, or publish troubleshooting

Activation Checklist

Before you author or fix any .agent file, verify these first:

  1. Exactly one start_agent block
  2. No mixed tabs and spaces
  3. Booleans are True / False
  4. No else if and no nested if
  5. No top-level actions: block
  6. No @inputs in set expressions
  7. linked variables have no defaults
  8. linked variables do not use object / list types
  9. Use explicit agent_type
  10. Use @actions. prefixes consistently
  11. Use run @actions.X only when X is a topic-level action definition with target:
  12. Do not branch directly on raw @system_variables.user_input contains/startswith/endswith for intent routing
  13. On prompt-template outputs, prefer is_displayable: False + is_used_by_planner: True
  14. Do not assume @outputs.X is scalar — inspect the output schema before branching or assignment

For the expanded version, use references/activation-checklist.md.


Non-Negotiable Rules

1) Service Agent vs Employee Agent

Agent typeRequiredForbidden / caution
AgentforceServiceAgentValid default_agent_user, correct permissions, target-org checks, prefer sf org create agent-userPublishing without a real Einstein Agent User
AgentforceEmployeeAgentExplicit agent_typeSupplying default_agent_user

Full details: references/agent-user-setup.md

2) Recommended top-level block convention

Use this order for consistency in this skill's examples and reviews:

config:
variables:
system:
connection:
knowledge:
language:
start_agent:
topic:

Official Salesforce materials present top-level blocks in differing sequences, and local validation evidence indicates multiple orderings compile. Treat this as a style convention, not a standalone correctness or publish blocker.

3) Critical config fields

FieldRule
developer_nameMust match folder / bundle name
descriptionPublic docs/examples should use this config field
agent_typeSet explicitly every time
default_agent_userService Agents only

Local tooling also accepts agent_description: for compatibility, but this skill's public docs and examples should prefer description:.

4) Syntax blockers you should treat as immediate failures

  • else if
  • nested if
  • comment-only if bodies
  • top-level actions:
  • invocation-level inputs: / outputs: blocks
  • reserved variable / field names like description and label

Canonical rule set: references/syntax-reference.md and references/validator-rule-catalog.md


Recommended Workflow

Recommended Authoring Workflow

Phase 1 — design the agent

  • decide whether the problem is actually deterministic enough for Agent Script
  • model topics as states and transitions as edges
  • define only the variables you truly need

Phase 2 — author the .agent

  • create config, system, start_agent, and topics first
  • add target-backed actions with full inputs: and outputs:
  • use available when for deterministic tool visibility
  • normalize raw intent/validation signals into booleans or enums before branching; avoid direct substring checks on raw user utterances for critical control flow
  • keep post-action checks at the top of instructions: ->

Default authoring stance

  • Default to direct .agent authoring and edits in source control.
  • Use sf agent generate authoring-bundle --no-spec only when the user wants local bundle scaffolding.
  • Treat sf agent generate agent-spec as optional ideation / topic bootstrap, not the default workflow.
  • Do not route Agent Script users toward sf agent create or sf agent generate template.

Phase 3 — validate continuously

Validation already runs automatically on write/edit. Use the CLI before publish:

sf agent validate authoring-bundle --api-name MyAgent -o TARGET_ORG --json

The validator covers structure, runtime gotchas, target readiness, and org-aware Service Agent checks. Rule IDs live in references/validator-rule-catalog.md.

Phase 4 — preview smoke test

Use the preview loop before publish:

  • derive 3–5 smoke utterances
  • start preview with the start / send / end subcommands, not bare sf agent preview
  • if you use --authoring-bundle, always choose a mode explicitly: --simulate-actions or --use-live-actions
  • inspect topic routing / action invocation / safety / grounding
  • fix and rerun up to 3 times

Full loop: references/preview-test-loop.md

Phase 5 — publish and activate

sf agent publish authoring-bundle --api-name MyAgent -o TARGET_ORG --json

# Manual activation
sf agent activate --api-name MyAgent -o TARGET_ORG

# CI / deterministic activation of a known BotVersion
sf agent activate --api-name MyAgent --version <n> -o TARGET_ORG --json

Publishing does not activate the agent. For automation, prefer --version <n> --json so activation is deterministic and machine-readable.


Deterministic Building Blocks

These execute as code, not suggestions:

  • conditionals
  • available when guards
  • variable checks
  • direct set / transition to
  • run @actions.X only when X is a topic-level action definition with target:
  • variable injection into LLM-facing text

Important distinction:

  • Deterministic: set, transition to, and run @actions.X for a target-backed topic action
  • LLM-directed: reasoning.actions: utilities / delegations such as @utils.setVariables, @utils.transition, and {!@actions.X} instruction references

If you need deterministic behavior for something that is currently modeled as a reasoning-level utility, either:

  • rewrite it as direct set / transition to, or
  • promote it to a topic-level target-backed action and run that action

See references/instruction-resolution.md and references/architecture-patterns.md.


Cross-Skill Integration

Cross-Skill Orchestration

TaskDelegate toWhy
Build flow:// targetssf-flowFlow creation / validation
Build Apex action targetssf-apex@InvocableMethod and business logic
Test topic routing / actionssf-ai-agentforce-testingFormal test specs and fix loops
Deploy / publishsf-deployDeployment orchestration

High-Signal Failure Patterns

SymptomLikely causeRead next
Internal Error during publishinvalid Service Agent user or missing action I/Oreferences/agent-user-setup.md, references/actions-reference.md
invalid input/output parameters on prompt template actionTarget template is in Draft status — activate it firstreferences/action-prompt-templates.md
Parser rejects conditionalselse if, nested if, empty if bodyreferences/syntax-reference.md
Action target issuesmissing Flow / Apex target, inactive Flow, bad schemasreferences/actions-reference.md
Prompt template runs but user sees blank responseprompt output marked is_displayable: Truereferences/production-gotchas.md, references/action-prompt-templates.md
Prompt action runs but planner behaves like output is missingoutput hidden from direct display but not planner-visiblereferences/production-gotchas.md, references/actions-reference.md
ACTION_NOT_IN_SCOPE on run @actions.Xrun points at a utility / delegation / unresolved action instead of a topic-level target-backed definitionreferences/syntax-reference.md, references/instruction-resolution.md
Deterministic cancel / revise / URL checks behave inconsistentlyraw @system_variables.user_input matching or string-method guards are being used as control-flow-critical validationreferences/syntax-reference.md, references/production-gotchas.md
@outputs.X comparisons or assignments behave unexpectedlythe action output is structured/wrapped, not a plain scalarreferences/actions-reference.md, references/syntax-reference.md
Preview and runtime disagreelinked vars / context / known platform issuesreferences/known-issues.md
Validate passes but publish failsorg-specific user / permission / retrieve-back issuereferences/production-gotchas.md, references/cli-guide.md

Reference Map

Start here

  • references/activation-checklist.md
  • references/syntax-reference.md
  • references/actions-reference.md

Publish / runtime safety

  • references/agent-user-setup.md
  • references/production-gotchas.md
  • references/customer-web-client.md
  • references/known-issues.md

Architecture / reasoning

  • references/architecture-patterns.md
  • references/instruction-resolution.md
  • references/fsm-architecture.md
  • references/patterns-quick-ref.md

Validation / testing / debugging

  • references/preview-test-loop.md
  • references/testing-guide.md
  • references/debugging-guide.md
  • references/validator-rule-catalog.md

Examples / scaffolds

  • references/minimal-examples.md
  • references/migration-guide.md
  • assets/
  • assets/agents/
  • assets/patterns/

Project documentation

  • references/version-history.md
  • references/sources.md

Score Guide

ScoreMeaning
90+Deploy with confidence
75–89Good, review warnings
60–74Needs focused revision
< 60Block publish

Full rubric: references/scoring-rubric.md


Official Resources

  • Agent Script Documentation
  • Agent Script Recipes
  • Agentforce DX Guide
  • references/official-sources.md
SKILL.md on GitHub

Sponsors

SnugThe clipboard manager you and your agent can use, safelyAgent CaffeineClose your lid, come back to finished workWaxBlock anything with supervision, without erasing your iPhoneOpen StepsSponsoredFree and open-source skills that make AI coding agents easier to understand, verify, and control.

Details

Repository
github.com/jaganpro/sf-skills
Category
AI & Agent Building
First seen
Apr 16, 2026

More from jaganpro/sf-skills

All 37
  • Sf Diagram Nanobananapro1.3K
  • Sf Ai Agentforce1.3K
  • Sf Ai Agentforce Testing1.3K
  • Sf Ai Agentforce Observability1.3K
  • Sf Docs1.2K
  • Sf Ai Agentforce Persona1.2K
  • Sf Datacloud1K
  • Sf Industry Commoncore Omniscript990
  • Sf Industry Commoncore Datamapper987
  • Sf Industry Commoncore Omnistudio Analyze986
  • Sf Industry Commoncore Flexcard984
  • Sf Datacloud Retrieve982
  • Sf Datacloud Connect980
  • Sf Industry Commoncore Integration Procedure980
  • Sf Datacloud Prepare979
  • Sf Datacloud Segment976
  • Sf Datacloud Harmonize973
  • Sf Datacloud Act972
  • Sf Industry Commoncore Callable Apex951
  • Sf Flex Estimator834
  • Sf Industry Cme Epc Model812
  • Sf Vlocity Build Deploy811
  • Sf Ai Agentforce Grid432
  • Sf Apex1.6K

Recommended

More AI & Agent Building
1jaganpro avatarsf-ai-agentforcejaganpro/sf-skillssf ai agentforce1.3Kinstalls
2starchild-ai-agent avatarupbitstarchild-ai-agent/official-skillsUse upbit CLI for Upbit REST API — spot orders, market data, withdrawals, deposits, travel rule, account management. 업비트 CLI로 시세 조회, 주문, 잔고 확인, 입출금을 처리합니다. Trig1.3Kinstalls
3mckruz avatarcomfyui-prompt-engineermckruz/comfyui-expertcomfyui prompt engineer1.3Kinstalls
4google-gemini avatarvertex-ai-api-devgoogle-gemini/gemini-skillsGuides the usage of Gemini API on Google Cloud Vertex AI with the Gen AI SDK. Use when the user asks about using Gemini in an enterprise environment or explicit1.3Kinstalls
5aradotso avataranthropic-cybersecurity-skillsaradotso/security-skillsanthropic cybersecurity skills1.3Kinstalls
6aradotso avatarcopaw-ai-assistantaradotso/trending-skillscopaw ai assistant1.3Kinstalls