This skill should be used when the user asks to "design package structure", "create managed package", "configure 2GP", "set up namespace", "version management", or mentions managed package topics like "LMA", "subscriber orgs", or "package versioning". Provides comprehensive guidance for second-generation managed package (2GP) architecture, ISV development patterns, and package lifecycle management.
This skill should be used when the user asks about "package development workflow", "release process", "beta testing", "package versioning", "CumulusCI", "CI/CD for packages", or needs guidance on the end-to-end package development process from design through release.
Detect flood events by comparing water levels to thresholds. Use when determining if flooding occurred, counting flood days, aggregating instantaneous data to daily values, or classifying flood severity.
Multi-role requirement analysis and task breakdown workflow using 4 specialized AI agents (PM, UX, Tech, QA). Each agent conducts web research before analysis to gather industry best practices, case studies, and current trends. Supports Quick Mode (parallel, ~3 min, one Q&A session) and Deep Mode (serial, ~8 min, Q&A after EACH agent so answers inform subsequent analysis). Triggers on 'foreman-spec', 'spec feature', 'break down requirement', 'define tasks', 'spec this'.
Lookup accommodations by city from the bundled dataset. Use this skill when you need to recommend places to stay in a given city or filter lodging options before building an itinerary.
Analyze user retention and churn using survival analysis, cohort analysis, and machine learning. Calculate retention rates, build survival curves, predict churn risk, and generate retention optimization strategies. Use when working with user subscription data, membership information, or when user mentions retention, churn, survival analysis, or customer lifetime value.
Data validation and pipeline testing utilities for ML training projects. Validates datasets, model checkpoints, training pipelines, and dependencies. Use when validating training data, checking model outputs, testing ML pipelines, verifying dependencies, debugging training failures, or ensuring data quality before training.
Skill library for embodied household task planning in VirtualHome environments. Provides reusable high-level skills composed of primitive actions to generate executable programs from task descriptions and initial states.
Automated Planning utilities for loading PDDL domains and problems, generating plans using classical planners, validating plans, and saving plan outputs. Supports standard PDDL parsing, plan synthesis, and correctness verification.
Build and train machine learning models using scikit-learn, PyTorch, and TensorFlow for classification, regression, and clustering tasks
This skill should be used when working with SQL databases, "SELECT", "INSERT", "UPDATE", "DELETE", "CREATE TABLE", "JOIN", "INDEX", "EXPLAIN", transactions, or database migrations. Provides comprehensive SQL patterns across PostgreSQL, MySQL, and SQLite.
This skill should be used when working on Lean 4 formalization projects to maintain persistent memory of successful proof patterns, failed approaches, project conventions, and user preferences across sessions using MCP memory server integration
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath). Use when working with JSON data, parsing APIs, handling large JSON files, or optimizing JSON performance.
Generates nginx-sites-available-default configuration file for serving the Vue application on Debian/Ubuntu-based nginx installations.
Configure Nginx web server for high-performance reverse proxy, load balancing, SSL/TLS, caching, and API gateway functionality.
Automatically applies when configuring Python project packaging. Ensures proper pyproject.toml setup, project layout, build configuration, metadata, and distribution best practices.
Guidance for creating Python packages and serving them via a local PyPI server. This skill applies when tasks involve building Python packages (with pyproject.toml or setup.py), setting up local package repositories, or serving packages via HTTP for pip installation. Use when the goal is to create installable Python packages and make them available through a local index URL.
