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Found 821 Skills
Generates complete CRUD modules for NestJS applications with Drizzle ORM. Use when building server-side features in NestJS that require database operations, including creating new entities with full CRUD endpoints, services with Drizzle queries, Zod-validated DTOs, and unit tests. Triggered by requests like "generate a user module", "create a product CRUD", "add a new entity with endpoints", or when setting up database-backed features in NestJS.
WNBA data via ESPN public endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, win probability, injuries, transactions, futures, team/player stats, leaders, and news. Zero config, no API keys. Use when: user asks about WNBA scores, standings, team rosters, schedules, game stats, box scores, play-by-play, injuries, transactions, betting futures, team/player statistics, or WNBA news. Don't use when: user asks about NBA (use nba-data), college basketball (use cbb-data), or other sports.
Transcribe audio and video files to text using a remote ASR service (Qwen3-ASR or OpenAI-compatible endpoint). Extracts audio from video, sends to configurable ASR endpoint, outputs clean text. Use when the user wants to transcribe recordings, convert audio/video to text, do speech-to-text, or mentions ASR, Qwen ASR, 转录, 语音转文字, 录音转文字, or has a meeting recording, lecture, interview, or screen recording to transcribe.
Operate LM Studio's `lms` CLI and local/remote LM Studio servers for model discovery, server status checks, model loading, endpoint smoke tests, and downstream OpenAI-compatible wiring. Use when the user mentions LM Studio, `lms`, a local model server, `/v1/models`, a remote LM Studio host, or wants to connect another tool to LM Studio; even if they only ask to test a local OpenAI-compatible endpoint or choose the correct loaded-model identifier. Triggers on: lmstudio, lm studio, lms, local model server, LM Studio API, LM Studio endpoint, /v1/models, connect Strix to LM Studio, load model in LM Studio.
Use this skill when the user asks about Goldsky Edge — the managed RPC endpoint service for EVM chains. Triggers on: 'Edge RPC', 'Goldsky RPC endpoint', 'edge.goldsky.com', 'eth_getLogs is slow', 'RPC rate limit', 'hedged requests', 'flashblocks', 'HyperEVM system transactions', 'x402 pay-per-request RPC', 'Goldsky Edge pricing', 'Edge dashboard', 'gs_edge_ API key', 'rpc-edge'. Also use this skill when the user wants a resilient, low-latency JSON-RPC endpoint for EVM chains (Ethereum, Base, Arbitrum, Optimism, Polygon zkEVM, BSC, Avalanche, Berachain, HyperEVM, Monad, Sei, Sonic, Unichain, zkSync, etc.), is debugging RPC errors like -32005/-32012/-32014/-32015/-32016, or is comparing providers (Alchemy, Infura, QuickNode, Ankr) against Edge. For questions about self-hosting eRPC or custom eRPC configuration beyond what Edge exposes, point them at https://docs.erpc.cloud/llms.txt. Do NOT trigger on Goldsky Mirror, Turbo, or Subgraph pipeline questions — those belong to their respective skills.
High-performance RLHF framework with Ray+vLLM acceleration. Use for PPO, GRPO, RLOO, DPO training of large models (7B-70B+). Built on Ray, vLLM, ZeRO-3. 2× faster than DeepSpeedChat with distributed architecture and GPU resource sharing.
Detect if a web application uses Supabase by analyzing client-side code, network patterns, and API endpoints.
Create secure REST API endpoints for Frappe Framework v15 with proper authentication, permissions, and validation. Triggers: "create api", "new endpoint", "frappe api", "rest api", "whitelist method", "/frappe-api". Generates v2 API compatible endpoints with type validation and security best practices.
Orchestrates access to the Home Assistant REST API for programmatic control of smart home devices. Routes requests to specialized resource files based on task type - authentication, state management, service calls, entity types, or advanced queries. Provides intelligent decision tables for selecting appropriate endpoints and managing integrations.
Quicknode blockchain infrastructure including RPC endpoints (80+ chains), Streams (real-time data), Webhooks, IPFS storage, Marketplace Add-ons (Token API, NFT API, DeFi tools), Solana DAS API (Digital Asset Standard), Key-Value Store, gRPC streaming (Yellowstone for Solana, Hypercore for Hyperliquid), and x402 pay-per-request RPC. Use when setting up blockchain infrastructure, configuring real-time data pipelines, processing blockchain events, storing data on IPFS, using Quicknode-specific APIs, querying Solana NFTs/tokens/compressed assets, persisting state with Key-Value Store, or building low-latency gRPC streams. Triggers on mentions of Quicknode, Streams, qn_ methods, IPFS pinning, Quicknode add-ons, DAS API, Digital Asset Standard, compressed NFT, cNFT, getAssetsByOwner, searchAssets, Key-Value Store, KV store, qnLib, Yellowstone, gRPC, Geyser, Hypercore, Hyperliquid, HYPE, evm, rpc, ethereum, blockchain, solana, or x402.
Guidelines for creating high-quality datasets for LLM post-training (SFT/DPO/RLHF). Use when preparing data for fine-tuning, evaluating data quality, or designing data collection strategies.
BANK OF AI account query and recharge skill. Use for requests like 'recharge 1 usdt', '给 BANK OF AI 充值 1 USDT', or to query BANK OF AI balance/orders. Recharge uses the remote MCP endpoint https://recharge.bankofai.io/mcp with the single `recharge` tool.