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Found 39 Skills
Use when the workflow needs to self-correct, improve over time, or establish feedback loops and evaluation cycles.
Use when the user wants to create templates, extract reusable patterns, document solutions, or build a pattern library from working workflows.
Use when the user wants to tailor a workflow for a specific industry, domain, or vertical with specialized expertise, terminology, and guardrails.
Use when starting a new project, adding a new agent to an existing system, or setting up workflow infrastructure from scratch.
Use when the workflow works but needs polish, or as the final step in a diagnose → fix → refine cycle before shipping.
Use when porting a workflow to a different AI provider, deployment environment, model tier, or organizational context.
Use when you need maximum precision on a critical task — production deployments, security-sensitive code, financial calculations, or any work where mistakes are unacceptable.
Use when working with AdonisJS Lucid ORM and SQL layer: database configuration, migrations, schema generation, schema classes, models, CRUD operations, model query builder, query scopes, hooks, serialization, relationships, transactions, pagination, debugging, validation rules, model factories, seeders, or database query builders. Trigger for tasks involving @adonisjs/lucid, database/schema.ts, app/models, database/migrations, database/factories, database/seeders, db service queries, Lucid relationships, or model behavior.
Use when the workflow feels over-engineered, has premature optimizations, unnecessary abstraction layers, or complexity beyond actual requirements.
Use when a single agent demonstrably cannot handle the task and multi-agent coordination is justified.
Use when the workflow lacks error handling, has been failing in production, or needs retry logic, fallback strategies, and circuit breakers.
Use when the workflow works but needs to handle more complex cases or produce higher-quality output through better tools, context, prompts, or models.