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Found 1,217 Skills
NFL data via ESPN public endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, win probability, injuries, transactions, futures, depth charts, team/player stats, leaders, and news. Zero config, no API keys. Use when: user asks about NFL scores, standings, team rosters, schedules, game stats, box scores, play-by-play, injuries, transactions, betting futures, depth charts, team/player statistics, or NFL news. Don't use when: user asks about football/soccer (use football-data), college football (use cfb-data), or other sports.
Wrap an existing Python agent as an Agent Stack service using agentstack-sdk server wrapper, without changing business logic.
Manage multiple Flutter versions efficiently using Git worktrees, eliminating the need for external version managers like FVM.
Use when integrating or maintaining applications built with keep-starknet-strange/starkzap. Covers StarkSDK setup, onboarding (Signer/Privy/Cartridge), wallet lifecycle, sponsored transactions, ERC20 transfers, staking flows, tx builder batching, examples, tests, and generated presets.
Use this skill whenever writing frontend code that talks to a backend for database queries, authentication, file uploads, AI features, real-time messaging, or edge function calls — especially if the project uses InsForge or @insforge/sdk. Trigger on any of these contexts: querying/inserting/updating/deleting database rows from frontend code, adding login/signup/OAuth/password-reset flows, uploading or downloading files to storage, invoking serverless functions, calling AI chat completions or image generation, subscribing to real-time WebSocket channels, or writing RLS policies. If the user asks for these features generically (e.g., "add auth to my React app", "fetch data from my database", "upload files") and you're unsure whether they use InsForge, consult this skill and ask. For backend infrastructure (creating tables via SQL, deploying functions, CLI commands), use insforge-cli instead.
S3-compatible object storage for files, images, and large data. Load when handling file uploads, storing images/videos/documents, generating presigned URLs, using multipart uploads for large files, migrating from S3, or serving static assets from buckets.
Sentry error tracking and debugging specialist
Meta-prompting, context engineering, and spec-driven development system for autonomous long-running coding agents
Build real-time voice AI applications with bidirectional WebSocket communication.
List available large language models and send chat completion requests programmatically. Use this skill when you need to call an LLM within a snippet, including model comparison, visual understanding, batch inference, and model performance testing.
Add Olakai monitoring to existing AI code — wrap your LLM client, configure custom KPIs, and validate the integration end-to-end
Use when checking ProxyGate status — balance, usage, listings, tunnel health, earnings, seller profile, or job status. Make sure to use this skill whenever someone mentions "check balance", "proxygate status", "my usage", "my earnings", "what's my balance", "how much have I spent", "my listings", "settlement history", or wants any kind of status overview.