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Found 826 Skills
Interact with Google Cloud Storage to manage buckets, objects, and access controls for scalable data storage.
Turn any record into a shared workspace where agents and humans collaborate. Attach a simple workspace schema to any entity — contacts, companies, deals, projects, tickets — and let any participant contribute updates, tasks, notes, and issues. The record becomes the coordination. No orchestrator, no message bus — just read the workspace, do your work, record what you did. Intelligence accumulates. Use when multiple agents, humans, or systems need to work on the same entity together.
Manages financial risks through quantitative analysis, modeling, and mitigation strategies.
Implements networking for multiplayer games, handling protocols, latency, and synchronization.
Stores and retrieves persistent memory about records — contacts, companies, employees, members, and more. Handles memorization (single and batch with per-property AI extraction), semantic recall, entity digests, and data export. Use when storing data, syncing records, querying memory, or assembling context for personalization.
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.
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.
Use when buying API access through ProxyGate — depositing USDC, browsing available APIs, making proxy requests, streaming responses, or rating sellers. Make sure to use this skill whenever someone mentions "proxy request", "buy API", "deposit USDC", "browse APIs", "call API through proxygate", "make an API call", "find an API", "search APIs", or wants to consume any API through ProxyGate, even if they don't explicitly say "buy".