sf-ai-agentforce-testing
π―Skillfrom jaganpro/claude-code-sfskills
Validates and tests AI agent interactions and workflows within Salesforce using automated testing frameworks and scenarios.
Part of
jaganpro/claude-code-sfskills(20 items)
Installation
python3 hooks/scripts/multi_turn_test_runner.py \pip3 install pyyamlMore from this repository10
Generates production-ready Lightning Web Components for Salesforce using PICKLES architecture, ensuring robust, accessible, and performant UI development with comprehensive testing and integration.
Executes Salesforce Apex tests with comprehensive coverage analysis, automatic failure detection, and intelligent test-fixing capabilities.
Generates and validates Salesforce flows with comprehensive 110-point scoring, ensuring Winter '26 best practices and high-performance flow design.
Deploys Salesforce metadata and code changes to specified orgs using flexible configuration and streamlined deployment workflows.
Generates Salesforce ERD diagrams, LWC mockups, and architecture visuals using Gemini and Nano Banana Pro AI technology.
Executes Salesforce data operations with expert SOQL querying, bulk data management, and test data generation across Salesforce orgs.
Generates legacy Agentforce agents using Agent Script syntax with 100-point scoring for maintaining existing agent patterns.
Analyzes YouTube video details, extracts metadata, and provides insights about video content, views, and engagement metrics.
Analyzes Salesforce Permission Sets, revealing access hierarchies, detecting specific permissions, and auditing user access across objects, fields, and Apex classes.
Generates and configures Salesforce Connected Apps and External Client Apps with comprehensive OAuth setup, security validation, and 120-point scoring mechanism.