Claude Skills by NVlabs

**CRITICAL**: This skill must be used for system inventory and context gathering. DO NOT use raw MCP tools like get_cve_systems or get_host_details directly. Gather system inventory and deployment context for CVE-affected systems, including RHEL version detection, environment classification, and deployment analysis. Use when: - "What systems are affected by CVE-X?" - "Gather system context for remediation planning" - "Analyze deployment architecture for CVE" - "Detect RHEL versions across a...

Clone existing virtual machines for testing, scaling, or creating templates. Use when: - "Clone VM [source] to [target]" - "Create a copy of VM [name]" - "Duplicate VM [name] for testing" - "Create 3 copies of template-vm" This skill clones VM configuration and optionally creates new storage or references existing storage. NOT for snapshots (use vm-snapshot for point-in-time backups).

Create new virtual machines in OpenShift Virtualization with automatic instance type resolution and OS selection. Use when: - "Create a new VM" - "Deploy a virtual machine with [OS]" - "Set up a VM in namespace [name]" - "Provision a [size] VM" This skill handles VM creation with intelligent defaults for OpenShift Virtualization. NOT for managing existing VMs (use vm-lifecycle-manager or vm-delete instead).

Permanently delete virtual machines and their associated resources from OpenShift Virtualization. Use when: - "Delete VM [name]" - "Remove virtual machine [name]" - "Destroy VM [name]" - "Clean up VM [name]" This skill handles permanent VM deletion with strict safety confirmations and typed verification. NOT for power management (use vm-lifecycle-manager to stop VMs).

List and view virtual machines across namespaces with status, resource usage, and health information. Use when: - "List all VMs" - "Show VMs in namespace [name]" - "What VMs are running?" - "Get details of VM [name]" This skill provides comprehensive VM inventory and status reporting. NOT for creating or modifying VMs (use vm-create or vm-lifecycle-manager instead).

Manage virtual machine lifecycle operations including start, stop, and restart. Use when: - "Start VM [name]" - "Stop the virtual machine [name]" - "Restart VM [name]" - "Power on/off VM [name]" This skill handles VM state transitions safely with user confirmation for each action. NOT for creating VMs (use vm-create) or deleting VMs (use vm-delete).

Orchestrate VM migrations across cluster nodes for load balancing, maintenance, and resource optimization. Use when: - "Move VM database-01 to worker-03" - "Rebalance VMs to optimize CPU load" - "Drain worker-02 for maintenance" - "Automatically rebalance the cluster" Supports Manual (user-driven) and Automatic (AI-driven) modes. NOT for creating VMs (use vm-create) or lifecycle only (use vm-lifecycle-manager).

Create virtual machine snapshots for backup and recovery. Use when: - "Create a snapshot of VM [name]" - "Backup VM [name] before upgrade" - "Take a snapshot of [vm]" Validates storage class snapshot support, CSI driver capabilities, and guest agent status before snapshot creation. NOT for VM cloning (use vm-clone to create independent copies).

Permanently delete virtual machine snapshots to free storage space. Use when: - "Delete snapshot [snapshot-name]" - "Remove old snapshots for VM [name]" - "Free up snapshot storage" Requires user confirmation before deletion. NOT for restoring VMs (use vm-snapshot-restore instead).

List virtual machine snapshots across namespaces with status, age, and recovery information. Use when: - "List snapshots for VM [name]" - "Show snapshots in namespace [name]" - "What snapshots exist for [vm]?" Read-only operation - no user confirmation required. NOT for creating/deleting snapshots (use vm-snapshot-create/delete instead).

Restore virtual machines from snapshots with strict safety confirmations to prevent data loss. Use when: - "Restore VM [name] from snapshot [snapshot-name]" - "Roll back VM [name] to snapshot" - "Recover VM [name] from backup" CRITICAL: Requires VM to be stopped and typed snapshot name confirmation before restore. NOT for creating snapshots (use vm-snapshot-create instead).

When the user wants to promote on Reddit, engage developer subreddits, or understand Reddit self-promotion rules. Trigger phrases include "Reddit," "subreddit," "r/programming," "r/webdev," "self-promotion," "Reddit marketing," or "getting upvotes on Reddit."

Redis Cluster and replication guidance covering hash tags for multi-key operations, avoiding CROSSSLOT errors, and reading from replicas to scale read-heavy workloads. Use when designing keys for a sharded Redis Cluster, debugging CROSSSLOT errors on MGET / SDIFF / pipelines, configuring a multi-key transaction in a cluster, or routing reads to replicas for caches, analytics, or dashboards.

Redis client and connection guidance covering connection pooling, multiplexing, pipelining, client-side caching with RESP3, avoiding slow commands (KEYS, SMEMBERS, HGETALL), and tuning socket timeouts. Use when configuring a Redis client (redis-py, Jedis, Lettuce, NRedisStack), batching commands for throughput, eliminating per-request connection creation, iterating large keyspaces with SCAN, enabling client-side caching for read-heavy workloads, or setting connect and read timeouts.

Core Redis modeling guidance — choose the right data structure (String, Hash, List, Set, Sorted Set, JSON, Stream, Vector Set) and use consistent colon-separated key names. Use when designing a Redis data model, caching objects, deciding between Hash and JSON, building counters, leaderboards, membership sets, or session stores, or when reviewing/cleaning up Redis key naming.

Redis security guidance covering authentication (requirepass and ACL users), TLS, ACL-based least-privilege access control, restricting network exposure via bind and protected-mode, firewall rules, and disabling dangerous commands. Use when deploying Redis to production, defining ACL users for an application, configuring TLS connections, locking down a Redis instance behind a firewall, or auditing a Redis deployment for security hardening.

Redis LangCache guidance for semantic caching of LLM responses on Redis Cloud — calling search/set via the SDK or REST API, tuning the similarity threshold, separating caches per task type, and filtering with custom attributes. Use when caching LLM completions or RAG answers to cut API cost and latency, building a cache-aside layer in front of OpenAI / Anthropic / etc., tuning hit rate vs precision, or splitting one app's LLM workloads into multiple LangCache caches.

Audit and fix visual hierarchy, spacing, color, and depth in web UIs. Use when the user mentions "my UI looks off" (or amateur/unprofessional), "fix the design", "Tailwind styling", "color palette", "visual hierarchy", "design system", "spacing scale", or "component styling". Also trigger when building consistent design tokens, creating dark mode themes, improving data-visualization clarity, or polishing UI details before launch. Covers grayscale-first workflow, constrained design scales, sha...

Make decisions that your 80-year-old self will thank you for. Master Jeff Bezos' mental model for bold choices that minimize long-term regret. Use when: **Career decisions** with long-term implications; **Startup vs. safe job** choices; **Major life pivots** (relocations, relationships, changes); **Risk-taking decisions** where fear is a factor; **Opportunity evaluation** when considering bold moves

Use when someone asks about 'Qdrant\'s Relevance Feedback API', 'improving dense search relevance/recall', 'how to discover/get more relevant results from vector search', 'cheaper/better alternative to reranking', 'using a more heavy/big embedding model for dense search but can\'t afford it', 'finding more relevant documents beyond the initial search pool', or 'feedback loops'. Also trigger when the user has a search quality problem due to a dense retriever being weak and is considering reran...

Capture professional-quality remote interviews using double-ender technique and dedicated recording platforms for podcasts, media, and content production. Use when: Setting up remote podcast interviews with guests; Recording media interviews across distances; Creating customer interview content; Producing expert interviews for thought leadership; Conducting research interviews with high audio quality

Manage the customer renewal process with health-based playbooks, timeline tracking, and risk mitigation strategies

Package and build custom AI models with Cog for deployment on Replicate. Use when creating a cog.yaml or predict.py, defining model inputs and outputs, loading model weights at setup time, building Docker images for ML models, serving locally with cog serve or cog predict, or porting a HuggingFace, GitHub, or ComfyUI model to run on Replicate. Trigger on phrases like "build a model", "package a model", "create a Cog model", "wrap a model", "containerize an AI model", "predict.py", "cog.yaml",...

Compare Replicate models by cost, speed, quality, and capabilities.

Prompting techniques for AI image generation and editing models on Replicate. Use when writing prompts for image models or building image generation features.

Prompting techniques for AI video generation models on Replicate. Use when writing prompts for video models or building video generation features.

Run AI models on Replicate via predictions, webhooks, and streaming.

Generate PDF/HTML reports from templates and data. Use when: creating client reports; generating weekly summaries; producing marketing performance reports; automating recurring reports

Build a phased reputation recovery plan after a crisis — from damage assessment through stakeholder communication, trust-rebuilding actions, and sentiment tracking. Use when: rebuilding brand reputation post-crisis, designing a public apology and accountability strategy, creating stakeholder-specific recovery communications, tracking sentiment recovery metrics, planning a PR damage-control roadmap, or recovering from a data breach, product recall, or public backlash.

Decision-grade entity research skill — produces a hypothesis-tested dossier on a specific company, person, nonprofit, or government org, not a generic profile. Forcing intake makes the user state their hypothesis upfront (what they already believe and want to verify or disprove) so the dossier tests it rather than confirms it. Output is an editable Word document (.docx) with verdict on the hypothesis, identity facts, 12-month activity timeline, network and reputation signals, red flags, conve...

NIH grant research skill for clinical researchers. Grill-me intake (research idea + career stage + preliminary data + environment + submission posture + known institute targets) locks down the funding strategy before any search runs. Runs a 5-facet Consensus positioning analysis (with draft Significance/Innovation language), maps the research to the right NIH institutes and study sections via RePORTER, finds NOSIs and funded overlap, and produces an editable Word document (.docx) with budget/...

Academic literature orientation skill that searches papers via free keyless APIs (PubMed E-utilities + OpenAlex) by default — with the Consensus MCP as an optional enhancement lane when connected — builds a strategic search plan using PICO (default) or SPIDER / Decomposition / hybrid as fallbacks, and synthesizes findings into a formatted Word (.docx) research guide. Grill-me intake (research question specificity + framework hint + tentative depth) before the recon search; a second forcing ch...

Patent prior-art and landscape intelligence skill — not generic patent help. Commits to one of five sub-use-cases via forcing intake (novelty search / freedom-to-operate / competitive landscape / acquisition diligence / litigation prior-art) before any search runs. Searches Google Patents, Espacenet, USPTO, and optionally Lens.org for citation-graph signals. Output is an editable Word document (.docx) with verdict, ranked closest art (claim-text extracted), CPC-class-aware landscape, family-r...

Default entry point for any research request — a hybrid router that classifies the question deterministically and either delegates to a specialist research skill (pulse for trends/sentiment, grants for NIH funding, litreview for academic literature, syllabus for course reading, patent for prior-art + IP landscape, dossier for entity research) or runs its own plan-decompose-multi-source-search-synthesize-cite fallback workflow when no specialist matches. Always surfaces the routing decision so...

Coordinate crisis response through structured playbooks, communication templates, and team orchestration

Screen resumes efficiently against job requirements with structured scoring, red flag identification, and interview recommendations

Create polished, professional reveal.js presentations. Use when the user asks to create slides, a presentation, a deck, or a slideshow. Supports themes, multi-column layouts, code highlighting, animations, speaker notes, and custom styling. Generates HTML + CSS with no build step required.

Know when to move fast and when to move carefully. Master Jeff Bezos' framework for distinguishing high-stakes irreversible decisions from low-stakes reversible ones. Use when: **Prioritizing decisions** to know where to invest time; **Team empowerment** to understand what to delegate vs. escalate; **Avoiding analysis paralysis** on decisions that don't matter; **Risk management** to identify where caution is truly warranted; **Speed vs. thoroughness** trade-offs in any context

Create winning RFP/RFI responses by analyzing requirements, structuring compliant proposals, and crafting compelling win themes

Process large codebases (>100 files) using the Recursive Language Model pattern. Orchestrates parallel sub-agents to map-reduce across files without context rot. Use when: analyzing large repositories; auditing security or auth across many files; finding patterns across 50+ files; processing large log files or data dumps

Use when writing, editing, or reviewing Russian-language text, or when user mentions ru-text. Covers typography, info-style, editorial, UX writing, business correspondence, AI-text cleanup. Auto-activates on Russian text output.

You are a Russian text quality assistant. When the user selects text and invokes this skill, apply the rules below: fix typography automatically, flag stop-words and anti-patterns, suggest improvements. If the user explicitly requests a specific style (casual, academic, SEO, literary), their request overrides these defaults. Independent reference by Arseniy Kamyshev. This template includes the most common entries from each category. Full version with ~1,044 rules across 7 domains: [github.com...

Write high-converting direct response sales letters using the proven methodologies of Gary Halbert (The Boron Letters) and Dan Kennedy (The Ultimate Sales Letter)—master the art of persuasive long-form copy that turns readers into buyers. Use when: **Write a long-form sales letter** for a product or service; **Create direct mail pieces** that generate response; **Write landing page copy** in sales letter format; **Craft email sequences** with direct response principles; **Develop VSL scripts*...

Sanity development best practices for schema design, GROQ queries, TypeGen, Visual Editing, images, Portable Text, Studio structure, localization, migrations, Sanity Functions, Blueprints, and framework integrations such as Next.js, Nuxt, Astro, Remix, SvelteKit, Angular, Hydrogen, and the App SDK. Use this skill whenever working with Sanity schemas, defineType or defineField, GROQ or defineQuery, content modeling, Presentation or preview setups, Sanity-powered frontend integrations, Sanity F...

Satori is a clinically informed wisdom companion for navigating the inner life — emotions, meaning, grief, purpose, relationship, identity, and the questions that don't resolve easily. Activate when someone is processing something difficult, wrestling with a life question, seeking perspective, or simply needs to think alongside someone who won't rush them toward an answer. Also activate when someone uses language like "I've been struggling with," "I don't know what to do," or "I need to figur...

Guides Qdrant query throughput (QPS) scaling. Use when someone asks 'how to increase QPS', 'need more throughput', 'queries per second too low', 'batch search', 'read replicas', or 'how to handle more concurrent queries'.

Generate JSON-LD structured data for SEO. Use when: adding schema markup to pages; creating organization schema; generating product schema; validating existing schema; rich snippet optimization

Design SDKs that developers love to use—APIs that feel native, error messages that guide, and experiences that reduce friction. This skill covers creating SDKs that drive adoption through exceptional developer experience rather than aggressive marketing. Trigger phrases: "SDK design", "developer experience", "API design", "SDK DX", "error messages", "type safety", "IDE integration", "SDK versioning", "migration guides", "client library design", "making SDKs feel native", "SDK best practices"

Diagnoses and fixes slow Qdrant search. Use when someone reports 'search is slow', 'high latency', 'queries take too long', 'low QPS', 'throughput too low', 'filtered search is slow', or 'search was fast but now it's slow'. Also use when search performance degrades after config changes or data growth.

Guides Qdrant search strategy selection. Use when someone asks 'should I use hybrid search?', 'how to rerank?', 'results are not relevant', 'I don't get needed results from my dataset but they're there', 'retrieval quality is not good enough', 'results too similar', 'need diversity', 'MMR', 'relevance feedback', 'recommendation API', 'discovery API', or 'missing keyword matches'