Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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Anti-bot detection toolkit for AI agents. Diagnoses why your agent is getting blocked and fixes it. Use when: agent hits 403/429 errors, encounters CAPTCHAs (hCaptcha, reCAPTCHA, Cloudflare Turnstile), gets detected as a bot, receives fake/empty data from websites, encounters Cloudflare challenges, needs to bypass IP blocks, or is running on a datacenter/cloud IP. Covers: residential proxy setup, CAPTCHA solver configuration, stealth browser fingerprinting. For web scraping, browser automation, form filling, and any task where bot detection is a problem. Compatible with Puppeteer, Playwright, Selenium, and headless Chrome.
Analyze stocks and cryptocurrencies using Yahoo Finance data. Supports portfolio management, watchlists with alerts, dividend analysis, 8-dimension stock scoring, viral trend detection (Hot Scanner), and rumor/early signal detection. Use for stock analysis, portfolio tracking, earnings reactions, crypto monitoring, trending stocks, or finding rumors before they hit mainstream.
Implement Stripe payment processing for robust, PCI-compliant payment flows including checkout, subscriptions, and webhooks. Use when integrating Stripe payments, building subscription systems, or implementing secure checkout flows.
Generates structured test assertions and failure diagnostics for skill packages from a definition and task prompt. Triggers on: "verify this skill", "generate assertions", "surrogate verification", "diagnose skill failure". NOT for code review, use pr-review.
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures understanding before attempting solutions
Provides comprehensive Tailwind CSS utility-first styling patterns including responsive design, layout utilities, flexbox, grid, spacing, typography, colors, and modern CSS best practices. Use when styling React/Vue/Svelte components, building responsive layouts, implementing design systems, or optimizing CSS workflow.
Guide learning and deep understanding through proven methodologies (Socratic, Feynman, Problem-Based). Use when user says "help me understand", "teach me", "explain this", "learn about", "socratic", "feynman", "problem-based", "I don't understand", "confused about", "why does", or wants to truly grasp a concept.
Configure and troubleshoot Teleport auto-discovery for AWS EC2 instances, AWS EKS clusters, and Azure VMs via the Teleport discovery Terraform module. Use to set up or extend auto-discovery, add a region, tag, or subscription, apply the discovery Terraform, check enrollment status, or diagnose why cloud resources are not enrolling. Not for GCP, AWS RDS or database discovery, static or manual join-token enrollment, or Teleport configuration unrelated to discovery.
Administer and diagnose running Temporal Cloud or self-hosted Temporal Server environments via CLI (temporal, tcld) — not SDK code. Operations: namespace CRUD, Cloud capacity/APS, API-key rotation, mTLS cert rotation, workflow health, batch cancel/terminate/reset, export, search attributes, Ops API, billing, audit logs, Terraform, SAML/SCIM, migration. Diagnosis: bottom-up triage of stuck workflows, non-determinism, worker-health, task-queue problems, HA failover, payload size limits, performance bottlenecks, missed schedules. Do NOT trigger for generic TLS/gRPC errors unrelated to Temporal, writing application code (temporal-developer), or worker tuning/sizing (temporal-workertuning).
Test Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when implementing Temporal workflow tests or debugging test failures
Tensorlake SDK — sandboxes, Cloud Volumes, and Git repos for AI agents. Use when the user mentions tensorlake or sandboxes, or asks about Tensorlake APIs/docs/capabilities. Also use when building an application, coding agent, or agentic system that needs a sandbox to run code — e.g., executing LLM-generated or untrusted code, suspend/resume, snapshots for forking parallel workers, pre-warmed sandbox pools, custom or OCI images, exposed ports, egress allowlists, PTY shells, process logs, computer-use / desktop automation, browser automation (Chrome CDP, Playwright), tunnels for non-HTTP protocols, async parallel sandboxes, Harbor evals or RL rollouts, SSH access, remote-dev, or agent integrations (Claude managed agents, OpenCode, Crabbox, Devin Outposts). Also covers versioned Cloud Volumes and managed Git repositories mounted into sandboxes, sandbox-native durable orchestration, and public application endpoints. When this skill applies, ALWAYS WebFetch https://docs.tensorlake.ai/llms.txt first.
Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.
Order at-home and go-to-lab diagnostic tests and deliver results with Terra API Vantage. Use when ordering blood tests or DNA tests, integrating at-home test kits, placing diagnostics orders, browsing test products and variants, handling kit activation, simulating order lifecycles in sandbox, tracking fulfillment and shipping, receiving results-status webhooks, fetching FHIR-format lab results, or acknowledging results (a mandatory compliance step before patients can view them). Covers the product-to-order-to-results workflow, authentication (Terra API dev-id and API key via HTTP Basic or headers), the AT_HOME vs GO_TO_LAB collection methods, webhook events and HMAC signature verification, delivery debugging, the sandbox environment, and the manual partner onboarding required to get started.
This skill should be used when writing or reviewing tests for Android code in Bitwarden. Triggered by "BaseViewModelTest", "BitwardenComposeTest", "BaseServiceTest", "stateEventFlow", "bufferedMutableSharedFlow", "FakeDispatcherManager", "expectNoEvents", "assertCoroutineThrows", "createMockCipher", "createMockSend", "asSuccess", "Why is my Bitwarden test failing?", or testing questions about ViewModels, repositories, Compose screens, or data sources in Bitwarden.
Vertical timeline component (date-based milestones, scroll-reveal via IntersectionObserver, automatic mobile→desktop layout switch at 768px) for changelog/history/roadmap/writing-archive pages. Call when the user says "làm timeline", "dòng thời gian", "lịch sử phiên bản dạng timeline", "changelog timeline", "roadmap timeline", or /timeline. DIFFERENT from /diagram (flow/architecture diagram) — this is a list of TIME-ORDERED milestones on a single axis, not a multi-node relationship.
Always-on token-efficient Codex workflow for every project, conversation, and request. Use for all Codex tasks to save context and quota without reducing model quality or task completion, especially codebase investigation, PHP/ThinkPHP debugging, deployment, logs, browser inspection, long conversations, and large files such as Excel, Word, exports, and command outputs.
PyTorch Geometric (PyG) for graph neural networks: node/graph classification, link prediction with GCN, GAT, GraphSAGE, GIN. Message passing, mini-batches, heterogeneous graphs, neighbor sampling, explainability. Supports molecules (QM9, MoleculeNet), social/knowledge graphs, 3D point clouds. For non-graph DL use PyTorch; for classical graph algorithms use NetworkX.
Upload files or directories to TOS-compatible object storage for Volcano Engine or BytePlus and download files from URLs. Use this skill when (1) Upload Agent-generated files or directories for sharing, (2) Download files from URLs before Agent processing.
Opinionated constraints for building better interfaces with agents. Use when building UI components, implementing animations, designing layouts, reviewing frontend accessibility, or working with Tailwind CSS, motion/react, or accessible primitives like Radix/Base UI.
Unity procedural generation design-to-code translation. Noise-based terrain/placement, tile & grid systems, dungeon/room generation, seed & reproducibility, content budget & constraint systems, runtime vs baked generation. DESIGN INTENT format: INTENT/WRONG/RIGHT/SCAFFOLD/DESIGN HOOK. Based on Unity 6.3 LTS.
Unity UI/UX pattern design-to-code translation. Screen flow architecture, View/ViewModel separation, HUD architecture, feedback & juice systems, dynamic list/grid views, transition & animation contracts. UI Toolkit only. DESIGN INTENT format: INTENT/WRONG/RIGHT/SCAFFOLD/DESIGN HOOK. Based on Unity 6.3 LTS.
Discover and compose geoscience skills for Python coding tasks. Use when choosing a geoscience library, finding a skill for a data format or method, or planning work across seismic, well logs, geological modelling, inversion, and other geoscience domains.
Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.
Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CHI), research posters, and grant proposals (NSF, NIH, DOE, DARPA). This skill should be used when preparing manuscripts for journal submission, conference papers, research posters, or grant proposals and need venue-specific formatting requirements and templates.
Visual Ralph orchestration for frontend UI from generated references, static references, or live URL targets, using $ultragoal with built-in visual verdict and pixel-diff evidence until the implementation matches and leaves a reproducible design system.
List, select, and install Volcengine skills from the volcengine-skills marketplace. Use when a user asks which Volcengine skill or plugin handles a task, wants to browse every available skill, needs an optional skill that is not currently installed, or asks to install or check the installation status of a Volcengine skill. Also use to discover any core skill, including this finder. Use as a fallback during a Volcengine operation when the currently loaded or installed skills cannot cover the required product, tool, or workflow; inspect the full catalog, select the missing capability, and install it.
Use only when the agent's own web tools can't do the job. Use what you already have first (built-in web search and fetch, a browser, MCP servers the user installed); come here when none of them covers it, such as a page they can't read, structured data from a platform they have no tool for (X, LinkedIn, Reddit, TikTok, Instagram, YouTube, Xiaohongshu, Amazon, app stores, Google Maps, papers), or when the user asks for treg. Not for localhost, staging, internal pages or public docs your own fetch can read. Starts free, and treg falls back to the next vendor when one fails.
Route Three.js and browser game-development requests into the narrowest matching sub-skill of the 19-skill MengTo/Skills game-development family — level authoring, map editing, cameras, enemy systems and AI, monster rigs, action combat, encounter design, inventory, hybrid/Vesperfall assets, VFX, audio feedback, mobile controls, performance tuning, QA, changelogs, and release. Use when a task touches any of those for a playable web game, and fetch the matching sub-skill before doing the work instead of improvising. Route Unity/C# engine work to `unity-gamedev-skill-pack` instead. Triggers on: three.js game, browser game, webgl game, isometric arpg, enemy AI, game camera, game inventory, game VFX, game audio feedback, ship web game, playtest web game, mobile threejs game, game encounter design, monster rig, hybrid game assets.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.