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Found 3,855 Skills
Builds, deploys, manages, debugs, configures, and optimizes serverless applications on AWS using Lambda, API Gateway, Step Functions, EventBridge, and SAM/CDK. Covers cold starts, CORS debugging, event source mappings, troubleshooting, concurrency, SnapStart, Powertools, function URLs, EventBridge Scheduler, Lambda layers, Durable Functions, durable execution, checkpoint-and-replay, and production readiness. Use when the user mentions Lambda, API Gateway, Step Functions, SAM templates, CDK serverless stacks, DynamoDB stream triggers, SQS event sources, cold starts, timeouts, 502/504 errors, throttling, concurrency, CORS, Powertools, Durable Functions, durable execution, checkpoint-and-replay, or any event-driven architecture on AWS, even if they don't say "serverless." Do NOT use for EC2, ECS/Fargate containers, or Amplify hosting.
Forces exhaustive problem-solving using corporate PUA rhetoric and structured debugging methodology. MUST trigger when: (1) any task has failed 2+ times or you're stuck in a loop tweaking the same approach; (2) you're about to say 'I cannot', suggest the user do something manually, or blame the environment without verifying; (3) you catch yourself being passive — not searching, not reading source, not verifying, just waiting for instructions; (4) user expresses frustration in ANY form: 'try harder', 'stop giving up', 'figure it out', 'why isn't this working', 'again???', '换个方法', '为什么还不行', '你再试试', '加油', '你怎么又失败了', or any similar sentiment even if phrased differently. Also trigger when facing complex multi-step debugging, environment issues, config problems, or deployment failures where giving up early is tempting. Applies to ALL task types: code, config, research, writing, deployment, infrastructure, API integration. Do NOT trigger on first-attempt failures or when a known fix is already executing successfully.
Elite frontend image-direction skill for generating premium, artistic, implementation-friendly website design references. Uses combinatorial variation to avoid repetitive AI aesthetics, enforces cinematic hero minimalism, strong hierarchy, generous spacing, image-led composition, and anti-slop visual discipline. For visual frontend tasks, this skill must first generate the design image(s) itself, deeply analyze them, then implement the frontend to match them as closely as possible.
This skill should be used when the user asks to 'swap tokens', 'trade ETH for USDC', 'buy tokens', 'sell tokens', 'exchange crypto', 'convert tokens', 'swap SOL for USDC', 'get a swap quote', 'execute a trade', 'find the best swap route', 'cheapest way to swap', 'optimal swap', 'compare swap rates', or mentions swapping, trading, buying, selling, or exchanging tokens on Solana, Ethereum, Base, BSC, Polygon, Arbitrum, or any of 20+ supported chains. Aggregates liquidity from 500+ DEX sources for optimal routing and price. Supports slippage control, price impact protection, and cross-DEX route optimization. Do NOT use for general programming questions about swap code, or for analytical questions about historical swap volume.
This skill should be used when the user encounters an HTTP 402 Payment Required response, wants to pay for a payment-gated API or resource, or mentions 'x402', 'pay for access', '402 payment', 'payment-gated URL', or 'sign x402 payment'. Primary path signs via TEE with a wallet session (JWT); fallback path guides local EIP-3009 signing with the user's own private key if they have no wallet. Returns the payment proof (signature + authorization) that the caller can attach as a payment header to access the resource. Do NOT use for swap or token transfers — use okx-dex-swap instead. Do NOT use for wallet balance or portfolio queries — use okx-agentic-wallet or okx-wallet-portfolio. Do NOT use for security scanning — use okx-security. Do NOT use for transaction broadcasting — use okx-onchain-gateway. Do NOT use for general programming questions.
MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.
Use this skill when the user mentions creating a payment link, paying a paymentId / a2a_... link, or checking a2a payment status. Wraps `onchainos payment a2a-pay` agent-to-agent payment protocol: seller-side `create`, buyer-side `pay` via EIP-3009 + TEE signing, and `status` query. Buyer-side trust is delegated to upstream — the skill signs whatever the on-server challenge declares. Do NOT use for external HTTP 402 resources — use okx-x402-payment. Do NOT use for wallet balance / transfer / login — use okx-agentic-wallet.
Perform AI-powered web searches with real-time information using Perplexity models via LiteLLM and OpenRouter. This skill should be used when conducting web searches for current information, finding recent scientific literature, getting grounded answers with source citations, or accessing information beyond the model knowledge cutoff. Provides access to multiple Perplexity models including Sonar Pro, Sonar Pro Search (advanced agentic search), and Sonar Reasoning Pro through a single OpenRouter API key.
Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model.
Cloud-based quantum chemistry platform with Python API. Preferred for computational chemistry workflows including pKa prediction, geometry optimization, conformer searching, molecular property calculations, protein-ligand docking (AutoDock Vina), and AI protein cofolding (Chai-1, Boltz-1/2). Use when tasks involve quantum chemistry calculations, molecular property prediction, DFT or semiempirical methods, neural network potentials (AIMNet2), protein-ligand binding predictions, or automated computational chemistry pipelines. Provides cloud compute resources with no local setup required.
Scaffold brand-new DatoCMS plugin projects with datocms-plugin-sdk and connect(). Use when users want to create a new plugin folder from scratch, bootstrap the Vite/React package structure, choose initial plugin surfaces such as field extensions, config screens, sidebars, pages, asset sources, or dropdown actions, and wire the first hook implementation. Prefer `datocms-plugin-builder` for edits to an existing plugin project.
Use when doing any dbt work - building or modifying models, debugging errors, exploring unfamiliar data sources, writing tests, or evaluating impact of changes. Use for analytics pipelines, data transformations, and data modeling.