productivity▌

Structured canvas for evaluating AI product ideas across outcomes, hypotheses, risks, and positioning. \n \n Synthesizes 10 strategic components: business outcomes, customer outcomes, problem framing, solution hypotheses, positioning, assumptions, PESTEL risks, value justification, success metrics, and next steps \n Designed for AI-specific uncertainty; treats solutions as testable bets rather than commitments, with lightweight \"Tiny Acts of Discovery\" experiments built in \n Outcome-driven fr

Comprehensive guidelines for building production-ready Capacitor applications. \n \n Covers project structure, configuration management, plugin installation patterns, and native project setup for iOS and Android \n Emphasizes critical practices: keeping Capacitor packages in sync, checking plugin availability before use, lazy loading plugins, and secure storage for sensitive data \n Includes performance optimization strategies such as batching bridge calls, hardware acceleration, and image optim

Build self-serve acquisition and expansion motions. But first, figure out if PLG is even the right motion for your product.

Classical machine learning with scikit-learn for classification, regression, clustering, and preprocessing. \n \n Covers supervised learning (linear models, trees, SVMs, ensembles, neural networks), unsupervised learning (K-Means, DBSCAN, PCA, t-SNE), and model evaluation with cross-validation and hyperparameter tuning \n Includes preprocessing transformers for scaling, encoding categorical variables, imputing missing values, and feature engineering \n Provides Pipeline and ColumnTransformer for

Build and manage WhatsApp automations with workflow graphs, triggers, functions, and integrations. \n \n Create and edit workflow graphs with nodes and edges, manage triggers (inbound messages, API calls), and deploy custom functions for dynamic logic \n Execute workflows with full context access (variables, system data, channel metadata) and debug executions via logs and event inspection \n Integrate third-party apps and actions into agent nodes, query and manipulate D1 databases for persistent

Use this skill when adding or changing framework feature flags in Next.js internals.

AI-powered business analysis with dashboards, predictive models, and data-driven strategic recommendations. \n \n Covers modern BI platforms (Tableau, Power BI, Looker, Qlik Sense) and cloud analytics (Snowflake, BigQuery, Databricks) with real-time visualization and automated reporting \n Includes KPI framework design, OKR development, balanced scorecards, and financial modeling for revenue forecasting, CLV optimization, and scenario planning \n Provides customer analytics capabilities: segment

Search GitHub code, repositories, issues, and pull requests with flexible filtering. \n \n Four search types: code, repositories, issues, and pull requests, each with full GitHub search syntax support \n Optional filtering by repository owner and name to narrow results to specific projects \n Requires GitHub personal access token configured in mcp_config.json for authentication \n Command-line interface with straightforward parameters for integration into agent workflows \n

Tinybird configuration rules, SQL patterns, and optimization guidance for datasources, pipes, endpoints, and materialized views. \n \n Covers 13 rule categories including project structure, datasource and pipe design, endpoint schemas, materialized views, copy pipes, connections, SQL best practices, and deduplication patterns \n Emphasizes local files as source of truth, MergeTree as default table engine, and SELECT-only SQL with strict parameter handling \n Provides optimization strategies: fil

Annotation-driven caching abstraction for Spring Boot service methods with multi-provider support. \n \n Supports multiple cache providers (ConcurrentMap, Caffeine, Redis, Ehcache, JCache) via pluggable CacheManager beans without changing business code \n Provides @Cacheable , @CachePut , @CacheEvict , and @Caching annotations with SpEL-based key generation, conditional caching, and synchronization control \n Includes configuration patterns for TTL, capacity limits, and scheduled eviction; integ