Skill UI

Leverages 78 public scientific, biomedical, materials, and economic REST APIs to find compounds, genes, pathways, clinical trials, patents, economic indicators, weather, and other structured data, returning raw JSON plus the databases/endpoints used.

Generates implementation-ready JSON-LD schema markup for 10 types (e.g., FAQPage, Product, Article). It validates all fields against Google rich result eligibility rules, flags missing data with fix instructions, and provides clean, ready-to-paste script blocks to optimize search engine visibility and achieve rich results.

Generates structured CodeTour `.tour` files in JSON format for detailed, step-by-step code walkthroughs. This tool is essential for onboarding new engineers, conducting architectural reviews, or documenting complex PR changes. It provides a guided narrative that directs users to specific files and line anchors, ensuring a structured and focused learning journey.

This skill provides a robust system for tracking all code modifications using structured JSON records and enforcing a defined state machine (e.g., planned -> deployed). It is critical for AI coding workflows, ensuring that if a session expires or is abandoned, the next session receives the full context, progress summary, and blockers to resume seamlessly. Ideal for complex, multi-stage development projects and onboarding new codebases.

Analyzes Excel and CSV uploads with DuckDB, inspecting schemas, running SQL, summarizing statistics, and exporting results so users can explore structured data efficiently.

This comprehensive guide details how to correctly implement and manage Firebase Realtime Database within Flutter applications. It covers critical best practices including data modeling (using flattened JSON trees), utilizing real-time listeners, ensuring offline persistence, performing atomic transactions, and implementing security rules. Ideal for applications requiring extremely low-latency synchronization and constant state monitoring.

A comprehensive guide to stretchr/testify for Go development. It covers best practices for writing readable unit tests, including the crucial distinction between `assert` and `require`. Learn advanced assertions (like `JSONEq` and `Eventually`), how to use `testify/mock` to isolate components, and structuring complex tests using `testify/suite`. Essential for professional Go projects.

Command-line wrapper around the Google Workspace Admin SDK that fetches audit logs, activity streams, and usage reports (customer, entity, user) for administrators, with schema inspection helpers to craft --params and --json flags.

CLI skill that lets you subscribe to Google Workspace events, pull them via Pub/Sub, and stream each payload as NDJSON with options for batching, cleanup, and file output.

Fetches a Gmail message by ID and extracts its body or headers, with options for text or JSON output, HTML decoding, and dry-run previews to streamline email inspection in scripts.

Use `gws gmail +watch` to monitor Gmail inboxes and stream new messages as NDJSON so downstream Pub/Sub or file workflows can process them; supports label filters, polling control, one-off pulls, and cleanup to keep your pipeline tidy.

Creates a new Google Model Armor template via `gws modelarmor +create-template`, requiring project, location, and template ID, with optional preset or JSON payload; aimed at bootstrapping safety filters before sanitization commands.