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Programmable LLM Safety Rails

nemo-guardrails

Orchestra-Research/AI-Research-SKILLs

NVIDIA’s NeMo Guardrails adds runtime safety rails to LLM apps, covering jailbreak detection, hallucination and fact-checking, PII filtering, and toxicity checks via Colang 2.0 rules and integrations for production use on T4 GPUs.

Nnsight Remote Interpretability

nnsight-remote-interpretability

Orchestra-Research/AI-Research-SKILLs

Guides researchers through nnsight workflows for probing PyTorch models locally or via NDIF remote nodes, covering activation analysis, patching, and tracing tools for massive GPT/Llama families.

NotebookLM Research Assistant

PleasePrompto/notebooklm-skill

Query your Google NotebookLM notebooks through Claude Code and Gemini for document-grounded, citation-backed answers while automating authentication, notebook management, and follow-up loops to minimize hallucinations.

OpenEvidence Observability Setup

openevidence-observability

jeremylongshore/claude-code-plugins-plus-skills

Configure OpenEvidence clinical AI integrations with Prometheus metrics, OpenTelemetry tracing, structured logging, and Grafana dashboards so you can monitor health, latency, errors, cache behavior, and alerts.

Clinical AI SDK Patterns

openevidence-sdk-patterns

jeremylongshore/claude-code-plugins-plus-skills

Guides building clinical AI integrations with the OpenEvidence SDK, covering singleton client setup, typed query builders, response transformers, and caching strategies for reliable decision support.

OpenRouter Context Optimization

openrouter-context-optimization

jeremylongshore/claude-code-plugins-plus-skills

Guides teams through verifying prerequisites, reviewing examples, and adapting configuration to manage OpenRouter context windows efficiently, trimming tokens and avoiding limits while keeping production monitoring in place.

OpenRouter Cost Controls

openrouter-cost-controls

jeremylongshore/claude-code-plugins-plus-skills

Implements budget controls for OpenRouter by enforcing per-key limits, alerts, and automatic cutoffs so teams can prevent spending overruns while integrating with the API.

OpenRouter Pricing Guide

openrouter-pricing-basics

jeremylongshore/claude-code-plugins-plus-skills

Explain OpenRouter pricing, cost estimation, and efficient model selection to support budgeting and integration decisions. Use when estimating token expenses, aligning configurations, and validating API connectivity.

LoRA PEFT Fine-Tuning

peft-fine-tuning

Orchestra-Research/AI-Research-SKILLs

Guides parameter-efficient fine-tuning for 7B-70B LLMs using PEFT/LoRA/QLoRA adapters, quantization, and multi-adapter serving so you can train <1% of parameters on consumer GPUs with minimal accuracy loss.

Perplexity Pitfalls Guide

perplexity-known-pitfalls

jeremylongshore/claude-code-plugins-plus-skills

A concise reference for spotting and avoiding Perplexity Sonar anti-patterns during reviews, onboarding, or audits, covering citation parsing, model selection, recency handling, and context limits so integrations stay accurate and cost-effective.

Perplexity Policy Guardrails

perplexity-policy-guardrails

jeremylongshore/claude-code-plugins-plus-skills

Implements Perplexity Sonar guardrails covering query moderation, tiered model selection, citation scoring, and per-user quotas, so teams can plug policy checks into pre-commit hooks or CI to keep live searches safe and cost-effective.

Perplexity Architecture Blueprint

perplexity-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

Defines a Perplexity reference architecture for AI research and search projects, covering model routing, citation extraction, conversational search, and multi-query pipelines to establish consistent integrations and reviews.

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