Loading...
Loading...
Found 711 Skills
Use when designing API endpoints. Use when using wrong HTTP methods. Use when POST is used for reads.
X API v2 available endpoints. Use when working with the X API v2 or when the user needs to interact with this API.
Strict JSON:API v1.1 specification compliance. Trigger: When creating or modifying API endpoints, reviewing API responses, or validating JSON:API compliance.
Patterns and structure for writing API reference documentation including endpoint descriptions, request/response schemas, and error documentation.
NHL data via ESPN public endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, injuries, transactions, futures, team/player stats, leaders, and news. Zero config, no API keys. Use when: user asks about NHL scores, standings, team rosters, schedules, game stats, box scores, play-by-play, injuries, transactions, betting futures, team/player statistics, or NHL news. Don't use when: user asks about other hockey leagues (AHL, KHL, college hockey), or other sports.
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.
TRON (java-tron) - account model, DPoS, resources, system contracts, TVM, TRC-10/TRC-20, DEX, APIs, events, TronGrid.
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.
Analyze and optimize Xano workspace performance. Use when the user wants to find slow endpoints, trace execution bottlenecks, deep-dive request stacks, or understand why their Xano API is slow. Also use when the user mentions "performance," "slow endpoint," "bottleneck," "stack trace," or "optimization."
Эксперт по API reference документации. Используй для создания справочников по API, описания endpoints и примеров запросов.
Use the official xurl CLI for the X API. Covers install, safe auth setup, app selection, common shortcuts, and raw endpoint access.
Vast.ai CLI to manage GPU instances, volumes, serverless endpoints, and billing.