Claude Skills by NVlabs

Think like Intel's legendary CEO. Apply Andy Grove's management operating system to maximize your team's output through leverage, OKRs, and systematic decision-making. Use when: **Scaling a team** when individual contribution isn't enough; **Performance management** to measure and improve output; **Meeting optimization** to make meetings productive; **Decision-making** in management contexts; **New manager transition** from individual contributor

Diagnoses and guides Qdrant horizontal scaling decisions. Use when someone asks 'vertical or horizontal?', 'how many nodes?', 'how many shards?', 'how to add nodes', 'resharding', 'data doesn't fit', or 'need more capacity'. Also use when data growth outpaces current deployment.

Diagnose HPC runtime and scheduler problems for materials simulations, including MPI/OpenMP/GPU layout, modules, CUDA/Kokkos hints, scratch paths, walltime, job arrays, restart strategy, scheduler portability, and resource mismatch. Use when an ALREADY-SUBMITTED job failed, ran slowly, got killed, or behaved differently on a cluster than on a workstation. To author or vet a NEW submission script before running, use slurm-job-script-generator instead.

Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub. Use when: handling authentication; managing local cache; managing Hugging Face Buckets; running or scheduling jobs on Hugging Face infrastructure; managing Hugging Face repos; discussions and pull requests; browsing models, datasets and spaces; reading, searching, or browsing academic papers; managing collections; querying datasets; con...

Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community grants. Use whenever the user asks to create or host an app on Hugging Face, port code onto ZeroGPU, fix a Space that won't build or run, or otherwise work with `hf spaces …`, `@spaces.GPU`, Space README frontmatter, or the `spaces` Python package.

Explains hybrid search in Qdrant. Use when someone asks 'how do I setup hybrid search?', 'how to combine keyword and semantic search?', 'sparse plus dense vectors?', 'missing keyword matches', 'how to combine results from multiple searches?' and 'combining multiple representations'

Score and qualify prospects against your Ideal Customer Profile using firmographic, technographic, and behavioral criteria

IM 定时提醒技能，支持一次性和周期性定时任务。通过 cron job 在指定时间唤醒 Agent，自动检测当前 IM 频道，保证消息准确送达。

Batch process images for marketing. Use when: resizing images for social media; compressing images for web; removing backgrounds; adding watermarks; converting formats to WebP; optimizing for Core Web Vitals

Transformez une image 2D en modèle 3D animé prêt pour le web ou le jeu en moins de 30 minutes, en utilisant le workflow Dilum Sanjaya (Hunyuan3D + Mixamo). Use when: **Créer un personnage 3D pour un site web** - Mascotte, avatar, illustration interactive; **Prototyper un asset de jeu** - Character design, props, environnements; **Produire du contenu marketing 3D** - Produits rotatifs, personnages animés; **Convertir des illustrations existantes** - Logo, mascotte, character design → 3D; **Tes...

Your habits, imprinted on AI. Learns how you work from conversation, builds a portable profile, and applies judgment that adapts to you: when to act, when to check with you, when to follow the project's rules over your own defaults. Use this skill whenever the user starts a new session, opens a project, writes or reviews code, debugs, plans, or writes commits. If .dna.md does not exist yet, start the onboarding conversation before doing anything else. Active in almost every working session.

Use when rewriting or refreshing an existing page that's underperforming. The agent fetches the URL, analyzes the current content, researches the SERP, and rewrites using the full anti-AI-slop ruleset — no data exports needed.

Diagnoses and fixes slow Qdrant indexing and data ingestion. Use when someone reports 'uploads are slow', 'indexing takes forever', 'optimizer is stuck', 'HNSW build time too long', or 'data uploaded but search is bad'. Also use when optimizer status shows errors, segments won't merge, or indexing threshold questions arise.

Find and analyze influencers for campaigns. Use when: researching potential influencer partners; analyzing influencer metrics; building influencer lists; evaluating engagement rates; planning influencer outreach

Code review automation for TypeScript, JavaScript, Python, Go, Swift, Kotlin, C#, .NET, Java, C, C++, Rust, Ruby, PHP, and Dart/Flutter. Analyzes PRs for complexity and risk, checks code quality for SOLID violations and code smells, generates review reports. Use when reviewing pull requests, analyzing code quality, identifying issues, generating review checklists.

Audits any domain's AI-readiness by using curl to directly probe robots.txt, llms.txt, and llms-full.txt, then scores each file against a structured checklist and delivers a formatted report with pass/warn/fail findings and actionable fixes. Use this skill whenever a user provides a domain or URL and wants to know if llms.txt or llms-full.txt is available, discoverable, or properly structured. Trigger on phrases like "check llms.txt for", "does this site have llms.txt", "find llms.txt", "chec...

Use when planning a new article. The agent Googles the keyword, reads the top 10 results, classifies intent, maps the content gap, and produces a writer-ready brief with structure, outline, and on-page artifacts. No keyword tool required.

Design and coordinate efficient interview processes with optimal panel composition, scheduling logistics, and candidate experience

Design native iOS interfaces following Apple Human Interface Guidelines. Use when the user mentions "iPhone app", "iPad layout", "SwiftUI", "UIKit", "Dynamic Island", "safe areas", "HIG compliance", "SF Symbols", "haptic feedback", "iOS accessibility", "make my app feel native", or "follow Apple design guidelines". Also trigger when building tab bars, navigation stacks, sheets, or modals for iOS, implementing dark mode, or adapting layouts across screen sizes. Covers navigation patterns, acce...

Creates a structured lessons learned entry for organizational memory. Use after an incident, a completed project, or a significant learning to record knowledge for future teams and initiatives. Distinct from iterate-retrospective, which facilitates the team ceremony; this skill writes the durable lessons entry that outlives it.

Documents a strategic pivot or persevere decision with the evidence, analysis, and rationale. Use when evaluating whether to change direction on a product, feature, or strategy based on market feedback.

Documents backlog refinement session outcomes including stories refined, estimates, questions raised, and decisions made. Use during or after refinement to capture the results and share with absent team members.

Facilitates and documents a team retrospective capturing what went well, what to improve, and action items. Use at the end of a sprint, project, or milestone to reflect and improve team practices. To bank individual learnings into organizational memory afterward, use iterate-lessons-log.

Analyzes C# classes and generates [JahroCommand] attributes with correct syntax, RegisterObject patterns, and group organization. Use when the user wants to add runtime commands, cheats, or debug actions to Unity classes, or mentions JahroCommand, console commands, runtime cheats, or debug actions.

Reviews and improves Debug.Log usage in Unity C# projects following structured logging principles: context tags, severity contracts, boundary-based placement, and criticality tiers. Detects common antipatterns (naked Debug.Log, logging in Update, stringly-typed errors), adds missing logs at system/state/error/external boundaries, and scaffolds project-wide logging infrastructure (LogTag constants, formatting helpers, conventions). Use when the user mentions logging, Debug.Log, log messages, d...

Analyzes existing debug systems (IMGUI menus, custom loggers, cheat frameworks, performance HUDs) and generates incremental migration plans to Jahro equivalents. Use when the user wants to replace a custom debug UI, migrate from an existing console or cheat system, switch to Jahro, or has OnGUI debug code they want to modernize.

Configures Jahro lifecycle controls for safe production deployment including JAHRO_DISABLE, auto-disable, and build validation. Use when the user mentions production builds, release builds, disabling Jahro, shipping, CI/CD, lifecycle controls, or production safety.

Detects Jahro in Unity projects and guides installation, API key configuration, and feature overview. Use when the user mentions Jahro setup, installation, getting started, debug console, or asks what Jahro can do. Also triggers when no Jahro references are found in a Unity project and the user asks about debugging.

Diagnoses common Jahro issues using decision trees: commands not appearing, watcher not updating, console not opening, snapshots failing, launch button missing. Use when the user reports something not working, missing, broken, or unexpected with Jahro, or when generated Jahro code doesn't behave as expected.

Analyzes C# fields and properties and generates [JahroWatch] attributes with groups and performance-safe patterns. Use when the user wants to monitor variables at runtime, add watchers, track game state, replace Debug.Log polling, or mentions JahroWatch, real-time inspection, or variable monitoring.

Manage a Markdown-based Kanban board using card files in a kanban/ directory (including kanban/archived/ for completed cards). Use when the user asks to create, move, view, list, or manage tasks or cards on a kanban board, or when tracking work items across statuses like backlog, todo, doing, done, or archive.

Use when building or maintaining a personal LLM-powered knowledge base. Triggers: ingesting sources into a wiki, querying wiki knowledge, linting wiki quality, 'add to wiki', 'what do I know about', or any mention of 'LLM wiki' or 'Karpathy wiki'.

Cluster keywords by semantic similarity and intent. Use when: organizing keyword research; creating content pillars; mapping keywords to pages; identifying content gaps; grouping search intent

Use when planning to rank for a specific keyword. The agent Googles it, reads the top 10, classifies intent, reads the top 3 competitor pages, and produces a 90-day ranking plan with intent, SERP analysis, and content recommendations.

Use when you need to explain why your solution works and others failed. Trigger on "unique mechanism", "why this works", "different angle", "positioning".

Use when you need to determine audience awareness level and the correct messaging approach. Trigger on "awareness stage", "cold vs warm audience", "Schwartz", "message to market match".

Use when you need to define exactly who the buyer is, what they want, what they’ve tried, and what’s driving their decisions. Trigger on "target audience", "ideal client", "who is this for", "avatar", "customer profile".

Use when you need to turn a product or service into a compelling, high-converting offer. Trigger on "offer", "why would someone buy", "improve conversions", "value proposition".

Generate AWS architecture diagrams in draw.io format. Activates when the user asks to create, generate, or build an architecture diagram, system diagram, or draw.io diagram for AWS services.

Turn your marketing into an event that makes people beg to buy before you even release the product Use when: **Launching a new product or course** and want to maximize first-day sales; **Building anticipation** for an upcoming offer instead of \"surprise\" launching; **Growing your email list** while simultaneously warming them up to buy; **Creating urgency without being sleazy** with legitimate scarcity; **Turning skeptics into buyers** through sequenced value delivery

Qualify leads using the BANT framework (Budget, Authority, Need, Timeline) with discovery questions and scoring criteria

Qualify enterprise opportunities using MEDDIC/MEDDPICC framework for complex B2B sales cycles

Build and apply lead scoring models combining firmographic fit, behavioral signals, and intent data for sales prioritization

Build workflows to automate contact progression through the sales funnel: Lead to MQL to SQL to Opportunity to Customer. Each transition is triggered by a specific event (score threshold, meeting booked, deal created, deal won).

Run automated Lighthouse audits for Core Web Vitals and SEO. Use when: checking page performance; auditing SEO technical issues; monitoring Core Web Vitals; comparing before/after optimization; batch auditing multiple URLs

Review Bitcoin Lightning Network protocol designs, compare channel factory approaches, and analyze Layer 2 scaling tradeoffs. Covers trust models, on-chain footprint, consensus requirements, HTLC/PTLC compatibility, liveness, and watchtower support.

Technical reference on Lightning Network channel factories, multi-party channels, LSP architectures, and Bitcoin Layer 2 scaling without soft forks. Covers Decker-Wattenhofer, timeout trees, MuSig2 key aggregation, HTLC/PTLC forwarding, and watchtower breach detection.

Explain Bitcoin Lightning channel factories and the SuperScalar protocol — scalable Lightning onboarding using shared UTXOs, Decker-Wattenhofer trees, timeout-signature trees, MuSig2, and Taproot. No soft fork required.

Select and configure linear solvers for Ax=b systems arising in numerical simulations — choose between direct (LU, Cholesky) and iterative (CG, GMRES, BiCGSTAB, MINRES) methods, analyze sparsity patterns and matrix conditioning, recommend preconditioners (AMG, ILU, IC), apply row/column scaling, and diagnose convergence stagnation from residual histories. Use when setting up a linear solve for FEM/FVM assembly, debugging slow or stalled Krylov iterations, choosing a preconditioner for SPD or ...

Find broken links on websites. Use when: auditing website for broken links; checking internal link structure; finding 404 errors; validating external links; pre-launch QA