Track health metrics with Fitbit - view activity, sleep, heart rate, and wellness data

Convert current chat session into a reusable skill. Use when user says "/chat-to-skill", "save this as skill", "create skill from chat", "turn this into a skill", or wants to preserve learnings...

Monitor and analyze social data with Brandwatch's enterprise social intelligence platform.

Search homes and get real estate data with Zillow's property marketplace.

Access Udemy courses, track learning progress, and manage course library

View connected accounts, check connection status, and manage financial data links via Plaid

Query and analyze scholarly literature using the OpenAlex database. This skill should be used when searching for academic papers, analyzing research trends, finding works by authors or...

Find opportunities to add metrics and estimate numbers when exact data unavailable

Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing...

Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing...

Execute comprehensive disaster recovery tests, validate recovery procedures, and document lessons learned from DR exercises.

Analyzes errors, searches past solutions in memory, provides immediate fixes with code examples, and saves solutions for future reference. Use when user says "debug this", "fix this error", "why...

Access global news and real-time market data from Reuters news agency.

Track weight loss with Noom - view progress, lessons, and behavioral health data

Generate database migration scripts for Liquibase, Flyway, Alembic with rollback safety, data preservation, and zero-downtime patterns

Track fitness with Garmin Connect - view activities, health metrics, and training data from Garmin devices

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Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery: SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D...

Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardization, descriptors, fingerprints,...

AI-powered defect prediction, pattern learning, and root cause analysis for proactive quality management.