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Found 39 Skills
This skill should be used when users need to work with the Vercel AI SDK for building AI-powered applications. It provides comprehensive guidance on core APIs (generateText, streamText), UI components (useChat, useCompletion), tool calling, structured data generation, provider management, streaming protocols, and advanced features like middleware and custom providers.
Orchestrates a new Domo custom app build with Remotion-compatible styling, sample data generation, and automatic demo video creation. Use when you want to build a Domo app AND produce a polished 10-15 second demo video of it in one workflow.
Use when the user asks to create ERD diagrams, normalize database schemas, design table relationships, or plan schema migrations.
Create diverse synthetic test inputs for LLM pipeline evaluation using dimension-based tuple generation. Use when bootstrapping an eval dataset, when real user data is sparse, or when stress-testing specific failure hypotheses. Do NOT use when you already have 100+ representative real traces (use stratified sampling instead), or when the task is collecting production logs.
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.
factory_boy test data generation specialist. Covers Factory, DjangoModelFactory, SQLAlchemyModelFactory, all field declarations (Faker, LazyAttribute, Sequence, SubFactory, RelatedFactory, post_generation, Trait, Maybe, Dict, List), batch creation, pytest integration, and Celery task testing patterns. USE WHEN: user mentions "factory_boy", "test factory", "DjangoModelFactory", "SQLAlchemyModelFactory", asks about "test data generation", "factory traits", "SubFactory", "factory fixtures". DO NOT USE FOR: pytest internals - use `pytest`; Django setup - use `pytest-django`; Hypothesis property testing - use `pytest` with Hypothesis
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.
Universal seed data generator: MIGRATE from ORM schemas or GENERATE from entity definitions to any target format
Generate synthetic test data with edge cases for ETL pipeline testing.
Generate sample security events, attack scenarios, and synthetic alerts for Elastic Security. Use when demoing, populating dashboards, testing detection rules, or setting up a POC.
Use when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline.
Use this skill when users need to create, generate, or modify Salesforce Sharing Rules metadata. TRIGGER when: users mention sharing rules, record sharing, criteria-based sharing, role-based sharing, guest user sharing, portal user sharing, sharingRules, sharingCriteriaRules, sharingGuestRules, sharingOwnerRules, .sharingRules-meta.xml files, or ask to share records with specific roles or groups. Also trigger when users want to configure record-level access beyond org-wide defaults (OWD), share object records with roles, groups, or guest users, or set up Experience Site guest user record visibility. SKIP when: user needs permission sets or profiles (use platform-permission-set-generate), or needs object-level security rather than record-level sharing (use platform-permission-set-generate).