momentic-test
Supports creating, executing, and maintaining Momentic browser end-to-end tests. Tests and modules are stored in *.test.yaml and *.module.yaml files.
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Find your next superpower If you are an agent, refer to our llms.txt for full access.Supports creating, executing, and maintaining Momentic browser end-to-end tests. Tests and modules are stored in *.test.yaml and *.module.yaml files.
Runs a business snapshot and saved KPI reports, then merges them with the week ahead from calendar and email. Delivers a single Monday document using the owner's stored preference, drawing on available connectors or pasted and uploaded data.
Develop or improve an app's monetization approach. Evaluate pricing, subscriptions, in-app purchases, free trials, and conversion to paid use to optimize revenue.
Brainstorms three to five revenue strategies for a product. Evaluates audience fit and risks, and proposes experiments to validate monetization and pricing options.
Applies Monetizing Innovation to validate prices before building and segment customers by value. Covers pricing conversations, packaging, subscription and usage models, freemium choices, behavioral pricing, and common monetization failures.
Работа с MongoDB — моделирование документов (embed vs reference), паттерны схем, индексы (составные/multikey/text/TTL/wildcard), aggregation pipeline, транзакции, replica set и sharding, антипаттерны. Use при работе с MongoDB/документной БД, проектировании коллекций или оптимизации запросов и агрегаций.
Provides best practices for MongoDB document databases. Covers schema design, queries, aggregation pipelines, and performance optimization, including work involving Mongoose and MongoDB Atlas.
Manages Atlas Stream Processing workflows, including workspace provisioning, source and sink connections, processor lifecycle, diagnostics, and tier sizing. Supports Kafka, Atlas clusters, S3, HTTPS, and Lambda integrations. Requires the MongoDB MCP Server with Atlas API credentials.
Reviews and configures MongoDB client connections across supported driver languages. Covers pool sizing, timeouts, connection errors, pool exhaustion, and performance for serverless functions, API endpoints, high-traffic applications, and concurrent tasks.
Helps configure an installed MongoDB MCP server. Covers required environment variables and credential setup for connecting to MongoDB or Atlas.
Generates read-only MongoDB queries and aggregation pipelines using collection schemas and sample documents. Supports filtering, grouping, syntax help, and translation of SQL-like requests. Requires MongoDB MCP and excludes search operators, write pipelines, and optimization of existing queries.
Helps optimize MongoDB queries and identify suitable indexes when performance is the goal. Prefers indexing as an optimization strategy and uses MongoDB MCP when available.
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