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Found 778 Skills
Integration templates for FastAPI endpoints, Next.js UI components, and Supabase schemas for ML model deployment. Use when deploying ML models, creating inference APIs, building ML prediction UIs, designing ML database schemas, integrating trained models with applications, or when user mentions FastAPI ML endpoints, prediction forms, model serving, ML API deployment, inference integration, or production ML deployment.
Эксперт по API reference документации. Используй для создания справочников по API, описания endpoints и примеров запросов.
Execute read-only T-SQL queries against Fabric Data Warehouse, Lakehouse SQL Endpoints, and Mirrored Databases via CLI. Default skill for any lakehouse data query (row counts, SELECT, filtering, aggregation) unless the user explicitly requests PySpark or Spark DataFrames. Use when the user wants to: (1) query warehouse/lakehouse data, (2) count rows or explore lakehouse tables, (3) discover schemas/columns, (4) generate T-SQL scripts, (5) monitor SQL performance, (6) export results to CSV/JSON. Triggers: "warehouse", "SQL query", "T-SQL", "query warehouse", "show warehouse tables", "show lakehouse tables", "query lakehouse", "lakehouse table", "how many rows", "count rows", "SQL endpoint", "describe warehouse schema", "generate T-SQL script", "warehouse performance", "export SQL data", "connect to warehouse", "lakehouse data", "explore lakehouse".
Use when a user needs to actually use or build on Zeko: bridge with Bridge CLI or Bridge SDK, get testnet funds, find the right Zeko and Mina endpoints, run GraphQL or curl queries, understand sequencer and archive-node roles, or build zkApps on Zeko with o1js or OCaml. This skill is for public user and builder workflows, especially terminal-driven and non-browser automation flows.
Use the official xurl CLI for the X API. Covers install, safe auth setup, app selection, common shortcuts, and raw endpoint access.
Execute authoring T-SQL (DDL, DML, data ingestion, transactions, schema changes) against Microsoft Fabric Data Warehouse and SQL endpoints from agentic CLI environments. Use when the user wants to: (1) create/alter/drop tables from terminal, (2) insert/update/delete/merge data via CLI, (3) run COPY INTO or OPENROWSET ingestion, (4) manage transactions or stored procedures, (5) perform schema evolution, (6) use time travel or snapshots, (7) generate ETL/ELT shell scripts, (8) create views/functions/procedures on Lakehouse SQLEP. Triggers: "create table in warehouse", "insert data via T-SQL", "load from ADLS", "COPY INTO", "run ETL with T-SQL", "alter warehouse table", "upsert with T-SQL", "merge into warehouse", "create T-SQL procedure", "warehouse time travel", "recover deleted warehouse data", "create warehouse schema", "deploy warehouse", "transaction conflict", "snapshot isolation error".
Test API behavior, contracts, security edges, and performance. USE when validating endpoints, integrations, error handling, or release readiness for APIs.
Graphistry Hub REST API specialist for auth, upload lifecycle, URL controls, sessions, and sharing safety. Use for curl/requests endpoint guidance independent of SDK choice.
Use when securing Spring Boot API endpoints with JWT Bearer token validation, scope-based authorization, or DPoP proof-of-possession - integrates com.auth0:auth0-springboot-api SDK for REST APIs receiving access tokens from frontends or mobile apps. Triggers on Auth0AuthenticationFilter, Spring Boot API auth, JWT validation, SecurityFilterChain, hasAuthority SCOPE.
Use when adding Auth0 token validation to Express or Node.js APIs - integrates express-oauth2-jwt-bearer SDK to protect Node.js API endpoints with JWT Bearer authentication, scope-based RBAC, claim validation, and optional DPoP support
Curated research collection on adaptation strategies for agentic AI systems, covering agent and tool adaptation methods with RL, SFT, and DPO approaches
ACSets (Attributed C-Sets) for categorical database design and DPO rewriting