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Found 821 Skills
Test API behavior, contracts, security edges, and performance. USE when validating endpoints, integrations, error handling, or release readiness for APIs.
Start the dev server, discover API routes from the codebase, hit every endpoint, and report which ones return errors.
This skill should be used when the user asks to "send a transaction", "call a contract", "sign a message", "use cast", "cast send", "cast call", "cast wallet", "decode calldata", "encode ABI", "check balance", or mentions Foundry cast CLI, RPC endpoints, or on-chain interactions.
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".
Choose the right fal.ai endpoint for a given task. Modality-organized catalog of production endpoint defaults, text-to-image, image-to-image, text-to-video, image-to-video, and more. Use when the user has not named a specific model, or asks "which model for X", "best endpoint for Y", "what should I use for Z".
Use the genmedia CLI to search, inspect, run, and manage 1200+ fal.ai model endpoints. Trigger when the user mentions "genmedia", "fal CLI", or asks to "search models", "run a model", "fetch schema", "check pricing", "upload to fal", "queue async job", "track request", or any direct interaction with the fal.ai endpoint catalog. This is the foundational skill. Every other fal.ai-related skill in this repo executes its work through genmedia commands. Use `--json` whenever the output will be parsed by an agent.
Consulta fondos comunes de inversion de Argentina (CAFCI) usando endpoints de lectura de Anduin. Usar cuando el usuario pida fondos por categoria, historico de un fondo, rendimiento por periodo, comparacion entre fondos, rankings de rendimiento, categorias, stats agregadas, fechas disponibles o ficha/detalle de un fondo.
Pay for x402-enabled Agent endpoints using ERC20 tokens (USDT/USDC) on EVM or TRC20 tokens (USDT/USDD) on TRON.
Registers external HTTP endpoints as iii functions using registerFunction(meta, HttpInvocationConfig). Use when adapting legacy APIs, third-party webhooks, or immutable services into triggerable iii functions, especially when prompts ask for endpoint maps like { path, id } iterated into registerFunction calls.
Transcribe audio with StepFun's stepaudio-2.5-asr — an SSE endpoint (NOT /v1/audio/transcriptions) with 32K context, ~85-101x RTF on long audio, and a single-call ceiling around 30 minutes (no client-side chunking). Use when transcribing Chinese / English audio with StepFun, when long-form recordings (5-30 min) need to land in one request, when migrating from step-asr / step-asr-1.1, or when hitting the misleading `model stepaudio-2.5-asr not supported` error (which actually means wrong endpoint). Triggers on 阶跃 ASR, StepFun ASR, stepaudio-2.5-asr, 转录, 语音识别, 长音频转写, 语音转文字. For TTS with the sibling stepaudio-2.5-tts model, use the stepfun-tts skill instead.
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".
Add security protection to a server-side route or endpoint — rate limiting, bot detection, email validation, and abuse prevention. Works across frameworks including Next.js, Express, Fastify, SvelteKit, Remix, Bun, Deno, NestJS, and Python (Django/Flask). Use this skill when the user wants to protect an API route, form handler, auth endpoint, or webhook from abuse, even if they describe it as "add rate limiting," "block bots," "prevent brute force," or "secure my endpoint" without mentioning Arcjet specifically. Uses the Arcjet CLI (`npx @arcjet/cli` or `brew install arcjet`) for authentication, site/key setup, remote rule management, and traffic verification.