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Found 26 Skills
Generate realistic, consistent test data using factories, fixtures, and fake data libraries. Use for test data, fixtures, mock data, faker, test builders, and seed data generation.
Universal seed data generator: MIGRATE from ORM schemas or GENERATE from entity definitions to any target format
Project structure initialization and metadata generation. This skill should be used when creating a new project, initializing project structure based on type (golang or social profile), or generating/updating README documentation.
Creates test fixtures, mock data, and test scenarios for unit and integration tests. Use when setting up test data, creating mocks, or generating test fixtures.
Generate synthetic training data when you don't have enough real examples. Use when you're starting from scratch with no data, need a proof of concept fast, have too few examples for optimization, can't use real customer data for privacy or compliance, need to fill gaps in edge cases, have unbalanced categories, added new categories, or changed your schema. Covers DSPy synthetic data generation, quality filtering, and bootstrapping from zero.
Create or update database seed scripts for development and testing environments. Use when setting up test data, initializing development databases, creating demo environments, resetting to known state, or generating realistic sample data.
Use when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline.
Generate mock data and test fixtures from schemas
Generate Salesforce Flows using the MCP tool execute_metadata_action. Use when the user asks to create, build, or generate a flow — including Screen, Autolaunched, Record-Triggered (before/after-save), Scheduled. Also trigger for flow-like requests such as "when a record is created", "trigger daily at", "send an email when", "update the field when", "automate", "workflow", or "flow XML/metadata". This is the only skill for Salesforce Flow generation.
Property-based testing with Hypothesis for discovering edge cases automatically. Use when testing invariants, finding boundary conditions, implementing stateful testing, or validating data transformations.
Permission Set analysis, hierarchy viewer, and "Who has X?" auditing. Use when analyzing permissions, visualizing PS/PSG hierarchies, or finding which Permission Sets grant access to specific objects, fields, or Apex classes.
Plan comprehensive test data management including synthetic data generation, data anonymization, versioning, and environment-specific strategies.