Agent skill

Sf Industry Commoncore Integration Procedure

by Jaganpro in Jaganpro/sf-skills

OmniStudio Integration Procedure creation and validation with 110-point scoring.

MITAuto-check passedBackend & APIs

Install Sf Industry Commoncore Integration Procedure

skills CLI
$ npx skills add Jaganpro/sf-skills --skill sf-industry-commoncore-integration-procedure -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Jaganpro/sf-skills sf-industry-commoncore-integration-procedure --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Jaganpro/sf-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sf-industry-commoncore-integration-procedure .claude/skills/sf-industry-commoncore-integration-procedure && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
sf-industry-commoncore-integration-procedure
GitHub stars
424
Token cost
~3.9k tokens
SKILL.md length
1,519 words
Files
8 (incl. references, assets)
Skills in repo
36
Repo updated
First seen
Licence
MIT

At a glance

OmniStudio Integration Procedure creation and validation with 110-point scoring.

  • Works in 5 steps: Requirements Gathering → Design & Element Selection → Generation & Validation → …
  • Building server-side process orchestrations that combine Data Mapper actions
  • SKILL.md covers Quick Reference, Core Responsibilities, CRITICAL: Orchestration Order and Key Insights, plus 7 more sections
  • Calls sf

What it does

Sf Industry Commoncore Integration Procedure is an agent skill from Jaganpro/sf-skills. OmniStudio Integration Procedure creation and validation with 110-point scoring. Use when building server-side process orchestrations that combine Data Mapper actions, Apex Remote Actions, HTTP callouts, and conditional logic. TRIGGER when: user creates Integration Procedures, adds Data Mapper steps, configures Remote Actions, or reviews existing IP configurations. DO NOT TRIGGER when: building OmniScripts (use sf-industry-commoncore-omniscript), creating Data Mappers directly (use…

Its SKILL.md is about 3.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files and assets (for example `CREDITS.md`, `assets/omni-process-element-dr-extract.json` and `assets/omni-process-element-set-values.json`).

It sits in Backend & APIs, covering Backend development. The repository describes itself as: [ARCHIVED — migrated to forcedotcom/afv-library] Salesforce Skills for Agentic Coding Tools — Apex, Flow, LWC, SOQL, Agentforce, Data Cloud, OmniStudio. Read-only archive; active… The licence is MIT.

When your agent uses it

  • Building server-side process orchestrations that combine Data Mapper actions
  • Apex Remote Actions
  • Conditional logic
  • : user creates Integration Procedures

Example prompts

  • “/sf-industry-commoncore-integration-procedure”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Requirements Gathering
  2. Design & Element Selection
  3. Generation & Validation
  4. Deployment
  5. Testing

What it can do on your machine

Read from SKILL.md and the folder at commit 53c9956. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • sf

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Sf Industry Commoncore Integration Procedure loads about 3.9k tokens when it runs, and up to ~12k if it reads all its reference files. Until then it costs about 165 tokens; SKILL.md has 1,519 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~165
When it runs · the whole SKILL.md, loaded when a task matches
~3.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~12k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Jaganpro/sf-skills at commit 53c9956, republished under its MIT licence (© Jaganpro). 1,519 words, ~3,859 tokens.

Download SKILL.mdSave it as .claude/skills/sf-industry-commoncore-integration-procedure/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
sf-industry-commoncore-integration-procedure
description
OmniStudio Integration Procedure creation and validation with 110-point scoring. Use when building server-side process orchestrations that combine Data Mapper actions, Apex Remote Actions, HTTP callouts, and conditional logic. TRIGGER when: user creates Integration Procedures, adds Data Mapper steps, configures Remote Actions, or reviews existing IP configurations. DO NOT TRIGGER when: building OmniScripts (use sf-industry-commoncore-omniscript), creating Data Mappers directly (use sf-industry-commoncore-datamapper), or analyzing cross-component dependencies (use sf-industry-commoncore-omnistudio-analyze).
license
MIT
metadata.version
1.0.0
metadata.author
David Ryan (weytani)
metadata.scoring
110 points across 6 categories

sf-industry-commoncore-integration-procedure: OmniStudio Integration Procedure Creation and Validation

Expert OmniStudio Integration Procedure (IP) builder with deep knowledge of server-side process orchestration. Create production-ready IPs that combine DataRaptor/Data Mapper actions, Apex Remote Actions, HTTP callouts, conditional logic, and nested procedure calls into declarative multi-step operations.

Quick Reference

Scoring: 110 points across 6 categories. Thresholds: ✅ 90+ (Deploy) | ⚠️ 67-89 (Review) | ❌ <67 (Block - fix required)


Core Responsibilities

  1. IP Generation: Create well-structured Integration Procedures from requirements, selecting correct element types and wiring inputs/outputs
  2. Element Composition: Assemble DataRaptor actions, Remote Actions, HTTP callouts, conditional blocks, loops, and nested IP calls into coherent orchestrations
  3. Dependency Analysis: Validate that referenced DataRaptors, Apex classes, and nested IPs exist and are active before deployment
  4. Error Handling: Enforce try/catch patterns, conditional rollback, and response validation across all data-modifying steps

CRITICAL: Orchestration Order

sf-industry-commoncore-omnistudio-analyze -> sf-industry-commoncore-datamapper -> sf-industry-commoncore-integration-procedure -> sf-industry-commoncore-omniscript -> sf-industry-commoncore-flexcard (you are here: sf-industry-commoncore-integration-procedure)

Data Mappers referenced by the IP must exist FIRST. Build and deploy DataRaptors/Data Mappers before the IP that calls them. The IP must be active before any OmniScript or FlexCard can invoke it.


Key Insights

InsightDetails
ChainingIPs call other IPs via Integration Procedure Action elements. Output of one step feeds input of the next via response mapping. Design data flow linearly where possible.
Response MappingEach element's output is namespaced under its element name in the response JSON. Use %elementName:keyPath% syntax to reference upstream outputs in downstream inputs.
CachingIPs support platform cache for read-heavy orchestrations. Set cacheType and cacheTTL in the procedure's PropertySet. Avoid caching procedures that perform DML.
VersioningType/SubType pairs uniquely identify an IP. Use SubType for versioning (e.g., Type=AccountOnboarding, SubType=v2). Only one version can be active at a time per Type/SubType.

Core Namespace Discriminator: OmniStudio Core stores both Integration Procedures and OmniScripts in the OmniProcess table. Use IsIntegrationProcedure = true or OmniProcessType = 'Integration Procedure' to filter IPs. Without a filter, queries return mixed results.

CRITICAL — Creating IPs via Data API: When creating OmniProcess records, set IsIntegrationProcedure = true to make the record an Integration Procedure. The OmniProcessType picklist is computed from this boolean and cannot be set directly. Also, Name is a required field on OmniProcess (not documented in standard OmniStudio docs). Use sf api request rest --method POST --body @file.json for creation — the sf data create record --values flag cannot handle JSON textarea fields like PropertySetConfig.


Workflow Design (5-Phase Pattern)

Phase 1: Requirements Gathering

Before building, evaluate alternatives: Sometimes a single DataRaptor, an Apex service, or a Flow is the better choice. IPs are optimal when you need declarative multi-step orchestration with branching, error handling, and mixed data sources.

Ask the user to gather:

  • Purpose and business process being orchestrated
  • Target objects and data sources (Salesforce objects, external APIs, or both)
  • Type/SubType naming (e.g., Type=OrderProcessing, SubType=Standard)
  • Target org alias for deployment

Then: Check existing IPs via CLI query (see CLI Commands below), identify reusable DataRaptors/Data Mappers, and review dependent components with sf-industry-commoncore-omnistudio-analyze.

Phase 2: Design & Element Selection
Element TypeUse CasePropertySet Key
DataRaptor Extract ActionRead Salesforce databundle
DataRaptor Load ActionWrite Salesforce databundle
DataRaptor Transform ActionData shaping/mappingbundle
Remote ActionCall Apex class methodremoteClass, remoteMethod
Integration Procedure ActionCall nested IPipMethod (format: Type_SubType)
HTTP ActionExternal API calloutpath, method
Conditional BlockBranching logic--
Loop BlockIterate over collections--
Set ValuesAssign variables/constants--

Naming Convention: [Type]_[SubType] using PascalCase. Element names within the IP should describe their action clearly (e.g., GetAccountDetails, ValidateInput, CreateOrderRecord).

Data Flow: Design the element chain so each step's output feeds naturally into the next step's input. Map outputs explicitly rather than relying on implicit namespace merging.

Phase 3: Generation & Validation

Build the IP definition with:

  • Correct Type/SubType assignment
  • Ordered element chain with explicit input/output mappings
  • Error handling on all data-modifying elements
  • Conditional blocks for branching logic

Validation (STRICT MODE):

  • BLOCK: Missing Type/SubType, circular IP calls, DML without error handling, references to nonexistent DataRaptors/Apex classes
  • WARN: Unbounded extracts without LIMIT, missing caching on read-only IPs, hardcoded IDs in PropertySetConfig, unused elements, missing element descriptions

Validation Report Format (6-Category Scoring 0-110):

Score: 95/110  Very Good
|- Design & Structure: 18/20 (90%)
|- Data Operations: 23/25 (92%)
|- Error Handling: 18/20 (90%)
|- Performance: 18/20 (90%)
|- Security: 13/15 (87%)
|- Documentation: 5/10 (50%)
Generation Guardrails (MANDATORY)
Anti-PatternImpactCorrect Pattern
Circular IP calls (A calls B calls A)Infinite loop / stack overflowMap dependency graph; no cycles allowed
DML without error handlingSilent data corruptionWrap DataRaptor Load in try/catch or conditional error check
Unbounded DataRaptor ExtractGovernor limits / timeoutSet LIMIT on extracts; paginate large datasets
Hardcoded Salesforce IDs in PropertySetConfigDeployment failure across orgsUse input variables, Custom Settings, or Custom Metadata
Sequential calls that could be parallelUnnecessary latencyGroup independent elements; no serial dependency needed
Missing response validationDownstream null reference errorsCheck element response before passing to next step

DO NOT generate anti-patterns even if explicitly requested.

Phase 4: Deployment
  1. Deploy prerequisite DataRaptors/Data Mappers FIRST using sf-deploy
  2. Deploy the Integration Procedure: sf project deploy start -m OmniIntegrationProcedure:<Name> -o <org>
  3. Activate the IP in the target org (set IsActive=true)
  4. Verify activation via CLI query
Phase 5: Testing

Test each element individually before testing the full chain:

  1. Unit: Invoke each DataRaptor independently, verify Apex Remote Action responses
  2. Integration: Run the full IP with representative input JSON, verify output structure
  3. Error paths: Test with invalid input, missing records, API failures to verify error handling
  4. Bulk: Test with collection inputs to verify loop and batch behavior
  5. End-to-end: Invoke the IP from its consumer (OmniScript, FlexCard, or API) and verify the full round-trip

Scoring Breakdown

110 points across 6 categories:

Show full SKILL.md (616 more words)Show less
Design & Structure (20 points)
CriterionPointsDescription
Type/SubType naming5Follows convention, descriptive, versioned appropriately
Element naming5Clear, action-oriented names on all elements
Data flow clarity5Linear or well-documented branching; explicit input/output mapping
Element ordering5Logical execution sequence; no unnecessary dependencies
Data Operations (25 points)
CriterionPointsDescription
DataRaptor references valid5All referenced bundles exist and are active
Extract operations bounded5LIMIT set on all extracts; pagination for large datasets
Load operations validated5Input data validated before DML; required fields checked
Response mapping correct5Outputs correctly mapped between elements
Data transformation accuracy5Transform actions produce expected output structure
Error Handling (20 points)
CriterionPointsDescription
DML error handling8All DataRaptor Load actions have error handling
HTTP error handling4All HTTP actions check status codes and handle failures
Remote Action error handling4Apex exceptions caught and surfaced
Rollback strategy4Multi-step DML has conditional rollback or compensating actions
Performance (20 points)
CriterionPointsDescription
No unbounded queries5All extracts have reasonable LIMIT values
Caching applied5Read-only procedures use platform cache where appropriate
Parallel execution5Independent elements not serialized unnecessarily
No redundant calls5Same data not fetched multiple times across elements
Security (15 points)
CriterionPointsDescription
No hardcoded IDs5IDs passed as input variables or from metadata
No hardcoded credentials5API keys/tokens use Named Credentials or Custom Settings
Input validation5User-supplied input sanitized before use in queries or DML
Documentation (10 points)
CriterionPointsDescription
Procedure description3Clear description of purpose and business context
Element descriptions4Each element has a description explaining its role
Input/output documentation3Expected input JSON and output JSON structure documented

CLI Commands

bash
# Query active Integration Procedures
sf data query -q "SELECT Id,Name,Type,SubType,IsActive FROM OmniProcess WHERE IsActive=true AND IsIntegrationProcedure=true" -o <org>

# Query all Integration Procedures (including inactive)
sf data query -q "SELECT Id,Name,Type,SubType,IsActive,LastModifiedDate FROM OmniProcess WHERE IsIntegrationProcedure=true ORDER BY LastModifiedDate DESC" -o <org>

# Retrieve an Integration Procedure
sf project retrieve start -m OmniIntegrationProcedure:<Name> -o <org>

# Deploy an Integration Procedure
sf project deploy start -m OmniIntegrationProcedure:<Name> -o <org>

# Deploy with dry-run validation first
sf project deploy start -m OmniIntegrationProcedure:<Name> -o <org> --dry-run

Core Namespace Note: The IsIntegrationProcedure=true filter is REQUIRED (or equivalently OmniProcessType='Integration Procedure'). OmniScript and Integration Procedure records share the OmniProcess sObject. Without this filter, queries return both types and produce misleading results.


Cross-Skill Integration

From SkillTo sf-industry-commoncore-integration-procedureWhen
sf-industry-commoncore-omnistudio-analyze-> sf-industry-commoncore-integration-procedure"Analyze dependencies before building IP"
sf-industry-commoncore-datamapper-> sf-industry-commoncore-integration-procedure"DataRaptor/Data Mapper is ready, wire it into IP"
sf-apex-> sf-industry-commoncore-integration-procedure"Apex Remote Action class deployed, configure in IP"
From sf-industry-commoncore-integration-procedureTo SkillWhen
sf-industry-commoncore-integration-procedure-> sf-deploy"Deploy IP to target org"
sf-industry-commoncore-integration-procedure-> sf-industry-commoncore-omniscript"IP is active, build OmniScript that calls it"
sf-industry-commoncore-integration-procedure-> sf-industry-commoncore-flexcard"IP is active, build FlexCard data source"
sf-industry-commoncore-integration-procedure-> sf-industry-commoncore-omnistudio-analyze"Verify IP dependency graph before deployment"

Edge Cases

ScenarioSolution
IP calls itself (direct recursion)Block at design time; circular dependency check is mandatory
IP calls IP that calls original (indirect recursion)Map full call graph; sf-industry-commoncore-omnistudio-analyze detects cycles
DataRaptor not yet deployedDeploy DataRaptors first; IP deployment will fail on missing references
External API timeoutSet timeout values on HTTP Action elements; implement retry logic or graceful degradation
Large collection input to Loop BlockSet batch size; test with realistic data volumes to avoid CPU timeout
Type/SubType collision with existing IPQuery existing IPs before creating; SubType versioning avoids collisions
Mixed namespace (Vlocity vs Core)Confirm org namespace; element property names differ between packages

Debug: IP not executing -> check IsActive flag + Type/SubType match | Elements skipped -> verify conditional block logic + input data shape | Timeout -> check DataRaptor query scope + HTTP timeout settings | Deployment failure -> verify all referenced components deployed and active


Notes

Dependencies (optional): sf-deploy, sf-industry-commoncore-datamapper, sf-industry-commoncore-omnistudio-analyze | API: 66.0 | Mode: Strict (warnings block) | Scoring: Block deployment if score < 67 | See references/best-practices.md and references/element-types.md for detailed guidance.

Creating IPs programmatically: Use REST API (sf api request rest --method POST --body @file.json). Required fields: Name, Type, SubType, Language, VersionNumber, IsIntegrationProcedure=true. Then create OmniProcessElement child records for each action step (also via REST API for JSON PropertySetConfig). Activate by setting IsActive=true after all elements are created.


License

MIT License. Copyright (c) 2026 David Ryan (weytani)

© Jaganpro, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (references, assets) in skills/sf-industry-commoncore-integration-procedure of Jaganpro/sf-skills.

  • SKILL.md
  • CREDITS.md
  • LICENSE
  • assets/omni-process-element-dr-extract.json
  • assets/omni-process-element-set-values.json
  • assets/omni-process-ip.json
  • references/best-practices.md
  • references/element-types.md

Open the folder on GitHubat commit 53c9956

Compare with similar skills

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Questions about Sf Industry Commoncore Integration Procedure

What does Sf Industry Commoncore Integration Procedure do?

OmniStudio Integration Procedure creation and validation with 110-point scoring. Sf Industry Commoncore Integration Procedure is an agent skill from Jaganpro/sf-skills. OmniStudio Integration Procedure creation and validation with 110-point scoring.

When should I use Sf Industry Commoncore Integration Procedure?

Sf Industry Commoncore Integration Procedure fits situations like: building server-side process orchestrations that combine Data Mapper actions; apex Remote Actions; conditional logic; : user creates Integration Procedures.

How do I install Sf Industry Commoncore Integration Procedure in Claude Code?

Run `npx skills add Jaganpro/sf-skills --skill sf-industry-commoncore-integration-procedure -a claude-code`. Or copy the skill folder (skills/sf-industry-commoncore-integration-procedure in Jaganpro/sf-skills) into .claude/skills/sf-industry-commoncore-integration-procedure in your project. Claude Code loads it when a task matches its description.

How do I install Sf Industry Commoncore Integration Procedure in Codex?

Run `npx skills add Jaganpro/sf-skills --skill sf-industry-commoncore-integration-procedure -a codex`. Or copy the skill folder (skills/sf-industry-commoncore-integration-procedure in Jaganpro/sf-skills) into .agents/skills/sf-industry-commoncore-integration-procedure in your project. Codex loads it when a task matches its description.

Can I use Sf Industry Commoncore Integration Procedure in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Jaganpro/sf-skills --skill sf-industry-commoncore-integration-procedure -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sf-industry-commoncore-integration-procedure, .gemini/skills/sf-industry-commoncore-integration-procedure, .github/skills/sf-industry-commoncore-integration-procedure and .opencode/skills/sf-industry-commoncore-integration-procedure in your project.

What does Sf Industry Commoncore Integration Procedure need to run?

Going by SKILL.md and its folder, Sf Industry Commoncore Integration Procedure needs the command-line tools its instructions call (sf).

Does Sf Industry Commoncore Integration Procedure access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Sf Industry Commoncore Integration Procedure safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Sf Industry Commoncore Integration Procedure use?

Sf Industry Commoncore Integration Procedure is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Sf Industry Commoncore Integration Procedure use?

About 3.9k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 8k tokens, read only when the agent opens those files.

What are the alternatives to Sf Industry Commoncore Integration Procedure?

Skills that share tags, products or a category with Sf Industry Commoncore Integration Procedure: Infer Conventions (anonaddy/anonaddy, 4.9k stars), MCP Development (cachethq/core, 230 stars), Java Coding Standards (Snailclimb/AIGuide, 675 stars) and Specx Project Structure (maksimzayats/specx, 202 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sf Industry Commoncore Integration Procedure?

Jaganpro (a GitHub user) maintains it in Jaganpro/sf-skills, which has 424 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on April 27, 2026.

Source: Jaganpro/sf-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.