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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 Enterprise RBAC

openevidence-enterprise-rbac

jeremylongshore/claude-code-plugins-plus-skills

Guides configuring OpenEvidence enterprise SSO, role-based permissions, and organization controls for clinical AI apps, covering role definitions, SAML/OIDC integration, middleware protection, session handling, and multi-tenant management.

OpenRouter Pitfalls Guide

openrouter-known-pitfalls

jeremylongshore/claude-code-plugins-plus-skills

Documented anti-patterns, common mistakes, and gotchas for OpenRouter integrations, helping developers review code, onboard teammates, and verify API connectivity before deployment.

Flash Attention Optimization

optimizing-attention-flash

Orchestra-Research/AI-Research-SKILLs

Speeds up transformer attention with Flash Attention techniques, offering 2-4× throughput gains and 10-20× memory reduction. Ideal for long-context models on PyTorch (native or flash-attn lib), H100 FP8, and sliding window scenarios to resolve GPU memory bottlenecks and improve inference.

Perplexity Enterprise RBAC

perplexity-enterprise-rbac

jeremylongshore/claude-code-plugins-plus-skills

Sets up Perplexity Enterprise RBAC with SSO, organization controls, and model-restricted API keys for teams, includes gateway routing, domain filtering, usage monitoring, and key rotation routines.

Perplexity Hello World

perplexity-hello-world

jeremylongshore/claude-code-plugins-plus-skills

Provides a minimal Perplexity SDK example for bootstrapping a new integration, verifying credentials, and confirming that the API client can connect before building more advanced flows.

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 Security Guide

perplexity-security-basics

jeremylongshore/claude-code-plugins-plus-skills

Codifies Perplexity security best practices for safely storing API keys, rotating secrets, enforcing least privilege, auditing scopes, and verifying webhooks before production deployments.

Prompt Engineering Patterns

prompt-engineering

rohitg00/awesome-claude-code-toolkit

Document describes structured prompts, chain-of-thought guidance, few-shot examples, system prompt design, and tooling advice for building reliable prompt engineering workflows in LLM-augmented products.

Advanced Prompt Engineering Patterns

prompt-engineering-patterns

sickn33/antigravity-awesome-skills

Guides prompt engineers through advanced patterns for maximizing LLM reliability and controllability, covering few-shot selection, chain-of-thought, templates, system prompts, and validation workflows for production-grade applications.

Prompt Guard Detector

Orchestra-Research/AI-Research-SKILLs

Meta’s Prompt Guard is an 86M-parameter classifier that spots prompt injections and jailbreak attempts before they reach LLMs, filtering user input, third-party data, or RAG documents with multilingual support and sub-2ms latency for fast deployments.

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