Groq Upgrade & Migration
Upgrade groq-sdk versions and handle Groq model deprecations.
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Upgrade groq-sdk versions and handle Groq model deprecations.
Configure OpenRouter for multi-user teams with per-user keys, budget
Avoid common OpenRouter integration mistakes and gotchas. Use proactively
Define custom routing rules for OpenRouter requests based on user tier,
Automatically appends the model alias to the end of every response with integrated hook functionality and configuration change detection. Use when transparency about which model generated each response is needed. Use when: providing model transparency, tracking which model generated responses, m...
Guide for building applications on Cloudflare's edge platform. Use when implementing serverless functions (Workers), edge databases (D1), storage (R2, KV), real-time apps (Durable Objects), AI features (Workers AI, AI Gateway), static sites (Pages), or any edge computing solutions.
Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.
Plans and executes GKE cluster creation, provisioning, and production readiness audits using pre-defined templates (Autopilot, Standard Regional, GPU/AI Inference, AI Hypercompute). Use when creating GKE clusters, provisioning GKE environments, selecting cluster modes, or auditing GKE clusters. Don't use for application onboarding or deployment configuration (use gke-app-onboarding instead).
Systematic architectural thinking for irreplaceable human capabilities - domain modeling, systems thinking, constraint navigation, and AI-aware problem decomposition. Use proactively when detecting architectural decisions, system design discussions, or multi-component planning.
Trigger this skill when building applications with Gemma or for general knowledge inquiries related to Gemma models (e.g. prompt structure, capabilities). Covers model selection, development workflows, and deployment best practices.
Builds an Android app that runs an open text LLM on the device, on the
Runs LLM inference over a private document inside a TEE, returns an attested result, and keeps the raw document in the TEE. No document upload means chainlink-cre-skill. It applies to private inference, attested AI, confidential AI, and sensitive-document analysis, including lending, accredited-investor, KYC/AML, and proof-of-reserves checks.
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