Results for “defi”

Analyze datasets to answer defined questions through statistical methods, trend identification, hypothesis testing, and correlation analysis. Use when the user needs evidence-backed findings or decisions from data; use exploratory-data-analysis instead for open-ended first-pass profiling before questions are defined.

Use when defining product KPIs, building metric dashboards, running cohort or retention analysis, or interpreting feature adoption trends across product stages.

Access 83 unified crypto data endpoints covering CEX/DEX markets, on-chain SQL across 80+ blockchain tables, wallet labels, prediction markets, social intelligence, news, and DeFi metrics via a local HTTP API with per-call billing.

Documents the required and optional keys for defining unit tests in a dbt YAML schema file.

Track crypto prices, wallet balances, portfolio values, CEX holdings, and Polymarket predictions via a command-line interface.

Designs analytics architecture, plans events, defines KPIs, sets attribution boundaries, and reviews instrumentation across product and growth.

Define business questions before starting data analysis to ensure the analysis is meaningful and aligned with business goals.

Compiles SOUL.md character profiles into synthetic diploid genomes by mapping trait scores to alleles at defined loci, producing .genome.json files.

Provides analytics and operations for the Metal Dollar (XMD) stablecoin, covering minting, redemption, supply metrics, collateral reserves, and oracle prices.

Prisma ORM for Node.js/TypeScript. Covers schema definition, migrations, and type-safe queries. Use when working with Prisma. USE WHEN: user mentions "prisma", "schema.prisma", "prisma migrate", "prisma generate", "prisma studio", "@prisma/client", asks about "how to define models in prisma", "prisma relations", "prisma transactions", "type-safe database queries" DO NOT USE FOR: raw SQL queries - use `database-query` MCP; Drizzle ORM - use `drizzle` skill; TypeORM - use `typeorm` skill; SQLAlchemy - use `sqlalchemy` skill

Audit cross-platform attribution by reconciling conversion definitions, reporting windows, and data sources across browsers, servers, MMPs, and ad platforms.

Manage Tyk API gateway infrastructure by inspecting API definitions, policies, keys, and analytics through the Gateway and Dashboard APIs.

Define, track, and interpret product metrics across discovery, growth, and mature product stages using frameworks like AARRR, North Star, and HEART.

Defines vehicle routing problem types (TSP, VRP, PDP) and the data requirements needed to formulate them, without covering any API or interface details.

Define and enforce data schemas and quality checks using pandera, Great Expectations, or manual assertions, with clear error handling and documentation.

Implements user analytics and event tracking in Flutter apps using Firebase Analytics, Mixpanel, and Amplitude, including event definitions, user properties, and e-commerce events.

Guide through a structured data analysis workflow: define the question, validate data quality, select the appropriate analytical method, and produce decision-ready findings with caveats.

Product analytics planning for Nick's apps. Use when deciding what to track, setting up events, defining funnels, or making sure a product launch can measure activation, retention, and conversion instead of guessing.

Structures company knowledge bases for business plan automation, defining a 7-category schema, completeness scoring, and storage layouts for Notion or local Markdown.

Define el enfoque, las herramientas y el pipeline de análisis antes de escribir código, eligiendo entre SQL, Python o un enfoque híbrido según la pregunta y los datos.

Manage and monitor Heap product analytics by querying the Heap API for account info, defined events, user properties, segments, event volume, active users, and data health.

Build qualified prospect lists for B2B SaaS, general B2B, or local small businesses by defining an ICP, sourcing candidates, qualifying with evidence, scoring, and outputting a lead sheet.

Scans top 24-hour token movers across major chains via GeckoTerminal, applies pump-risk filters, and outputs a chain leaderboard with per-chain top 5 runners.

Monitors EVM blockchain addresses and contracts for large transfers, new approvals, contract upgrades, unusual gas spends, MEV interactions, and first-time interactions with new contracts.

Build clinical deep-learning pipelines with PyHealth: load EHR, signal, and imaging datasets, define prediction tasks, instantiate models, train with the PyHealth Trainer, and compute clinical metrics.

Guides setting up Drizzle ORM with Vercel Postgres and Vercel KV for a manufacturing analysis app, covering schema definition, queries, migrations, caching, sessions, and rate limiting.

Expert guidance for Cube, the headless BI and semantic layer that sits between your data warehouse and analytics applications. Helps developers define data models, create metrics APIs, and build analytics features in applications with consistent, governed access to business metrics.

Documents MariaDB-specific CREATE PROCEDURE syntax, including OR REPLACE/IF NOT EXISTS exclusivity, DEFINER and SQL SECURITY behavior, parameter modes, DEFAULT values, advisory characteristics, privilege requirements, and the client-side DELIMITER convention.

Ranks weekly token unlocks by Absorption Ratio (unlock value / 7d avg volume) instead of supply percentage, with per-event cliff vs linear classification, recipient category, and a one-line market read.

Perform systematic exploratory data analysis to understand dataset structure, distributions, relationships, and anomalies before modeling. Use when a dataset is new, its quality is unknown, or the user requests open-ended profiling; use data-analysis instead for a defined hypothesis or decision question.