SuperAPI AI DirectoryFind an Agent Skill for your task. Read the guide and copy the install command.
Updated 10-29 00:09
17,102 results
Respond from the perspective of Adam Smith—systematic analysis, skillful use of cases, and equal emphasis on morality and economics. Use this when the user explicitly requests this figure's perspective, mentions "adamsmith-perspective", or wants to apply his core method to analyze a problem; do not trigger it automatically for general questions.
Full PAIDF AnomalyGen pipeline — fine-tune on a new anomaly dataset, generate synthetic anomaly images (SDG), evaluate quality (nn_score), and search…
How to fill in a query card's `visualizationTemplate` (the JSON object that renders a chart). Load this whenever the user asks for a chart, graph, plot, trend,…
Work with climate data, models, and projections for climate impact assessment, downscaling, and scenario analysis using CMIP6 and other climate datasets. Use…
Rust data engineering implementation and review skill. Extends data-engineer with Rust-specific ownership/borrowing model, Result/Option idioms, trait-based…
Connect to FHIR-compliant electronic health record systems to query, retrieve, and analyze patient data using natural language. Supports full CRUD operations…
ETL pipelines, Apache Spark, data warehousing, and big data processing. Use for building data pipelines, processing large datasets, or data infrastructure.
Supervised & unsupervised learning, scikit-learn, XGBoost, model evaluation, feature engineering for production ML
Automatically discover diagram and visualization skills when working with flowcharts, sequence diagrams, architecture diagrams, ER diagrams, Gantt charts,…
Collect search results from AliExpress — product titles, prices, ratings, URLs, sponsored flags. Use when the user wants to collect listings matching a keyword…
Convert various file formats (PDF, Office documents, images, audio, web content, structured data) to Markdown optimized for LLM processing. Use when converting…
Use when learning Snowflake Semantic View patterns, teaching SV concepts, applying patterns to existing SVs, or building new SVs with best practices. Triggers:…
Write and schedule trading scripts for strategy automation. Use when the user needs a recurring monitor, price alert, indicator script, or any automated data…
Aggregate TanStack Table columns independently of grouping, including grand totals, caller-selected row totals, multiple keyed aggregations, custom…
Generate and retrieve usage reports for billing, analytics, and reconciliation. This skill provides Python SDK examples.
CloudBase PostgreSQL access-pattern and slow-query quality guidance. Use when designing how tables are read and written, eliminating per-row database calls,…
Query the OpenData API for data research and analysis. Use when fetching dataset rows, filtering, sorting, aggregating, inspecting columns, composing…
Generate a single-file HTML with an autoplay animation of "stacked data argument cards": white argument cards spring in one by one from the bottom and center, older cards stack to the left into a deck, and the data components inside each card (line strokes, number scrolling, ring gauges, comparison bars, data tables, icon card groups) enter in cascade on a millisecond-level timeline. The total duration aligns with the spoken/narration seconds, and a screen recording becomes the final video. Suitable for scenarios such as data argumentation in videos, presentation of research conclusions, display of viewpoints, and revelation of counterintuitive points.
NumPy for matrix operations, FFT, linear algebra, and numerical computations in marine engineering
Design and review long-running batch or sync jobs that process many items against a remote API and persist checkpoint state — exit codes that report partial…
Assess the impact of institutional constraints such as price limits/suspensions on tradability, and output risk labels and response recommendations. Use when the user asks about limit-up/limit-down risk, inability-to-execute risk, or needs trading constraint checks.
Use historical/peer percentiles to identify valuation centers and extreme states, and combine macro/interest rate signals to explain valuation changes. Use when the user asks whether a certain market/sector/stock is expensive or cheap, or needs valuation percentile analysis.
Build trading-strategy backtests that account for look-ahead bias, survivorship bias, and costs. Use when validating strategies or designing backtest…
Detect significant price movements and unusual volume across crypto markets. Calculates significance scores combining price change, volume ratio, and market…