Loading...
Loading...
Found 9,733 Skills
What DeFi positions does a wallet hold? Protocol-by-protocol breakdown of assets, debts, and rewards across chains.
Use this skill when asked to review text and user-facing strings within the codebase. It ensures that these strings follow rules on clarity, usefulness, brevity and style.
What tokens are whales dollar-cost averaging into? Jupiter DCA strategies by smart money and target token fundamentals.
Is smart money exiting a token I hold? Net flow direction, seller breakdown by label, and recent SM trades.
Deep dive on a Polymarket market — OHLCV, orderbook, top holders, positions, trades, and PnL leaderboard. Use when analysing a specific prediction market.
Set up a local webhook server to receive Nansen smart alerts in real-time with HMAC signature verification and public tunneling. Use when a user wants to listen for alerts on their local machine.
Set territory-specific pricing for subscriptions and in-app purchases using current asc setup, pricing summary, price import, and price schedule commands. Use when adjusting prices by country or implementing localized PPP strategies.
Develops and executes Spark code on Dataproc Clusters and Serverless. Reads and writes data using BigLake Iceberg catalogs, BigQuery and Spanner. Debugs execution failures. Use when: - Writing Spark ETL pipelines on GCP. - Training or running inference with ML models with spark on GCP. - Managing Spark clusters, jobs, batches, and interactive sessions. Don't use when: - Writing generic Python scripts that don't use Spark. - Performing simple SQL queries that can be done directly in BigQuery.
Provides guidance for writing, packaging and executing Apache Beam pipelines on GCP using Cloud Dataflow. Use when: - Creating an Apache Beam Dataflow pipeline. - Creating a Google Flex Template.
Use these skills when you need to explore the database schema, identify objects like views and triggers, and execute custom SQL queries to interact with your data.
Use these skills to set up and optimize production-ready vector workloads by simply expressing your intent and performance requirements.
Process inbox in priority order by Spark's smart categories: priority first, then people, invites, notifications, newsletters.