Skill UI

Optimize Perplexity Sonar API calls by selecting appropriate models, caching query hashes, streaming long research, and batching deduplicated requests for faster, cost-effective research or fact-checking workflows.

Guide for optimizing Retell AI voice agents by tuning LLM prompts, agent settings, WebSocket pooling, and caching/analytics so API integrations stay responsive under load.

Guides mechanistic interpretability research with TransformerLens by exposing HookPoints, activation caching, activation patching, and circuit-analysis workflows to inspect and manipulate GPT-style models for reverse-engineering attention behavior and causal tracing.

Guide to optimizing TwinMind transcription, balancing accuracy and speed through audio preprocessing, scenario-specific model configs, streaming tweaks, and caching to cut redundant work.

Guides production-grade LLM operations by combining RAG pipelines, embeddings, vector databases, fine-tuning, prompt engineering, cost control, evals, caching, streaming, and agent orchestration.

Documented best practices for building applications with Anthropic Claude via Python and TypeScript SDKs, covering messaging, streaming, tools, vision, reasoning, caching, batching, and Agent workflows to optimize prompts, tokens, and cost.