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Found 9,759 Skills
Refactor PyTorch code to improve maintainability, readability, and adherence to best practices. Identifies and fixes DRY violations, long functions, deep nesting, SRP violations, and opportunities for modular components. Applies PyTorch 2.x patterns including torch.compile optimization, Automatic Mixed Precision (AMP), optimized DataLoader configuration, modular nn.Module design, gradient checkpointing, CUDA memory management, PyTorch Lightning integration, custom Dataset classes, model factory patterns, weight initialization, and reproducibility patterns.
Debug ASP.NET Core and .NET applications with systematic diagnostic approaches. This skill covers troubleshooting dependency injection container errors, middleware pipeline issues, Entity Framework Core query problems, configuration binding failures, authentication/authorization issues, and startup failures. Includes Visual Studio and VS Code debugging, dotnet-trace, dotnet-dump, dotnet-counters tools, Serilog configuration, Application Insights integration, and four-phase debugging methodology.
Generic E2E patterns with Playwright—state setup, seeds, test IDs, auth, environment, and Sail integration
UI/UX design intelligence for web and mobile. Includes 50+ styles, 161 color palettes, 57 font pairings, 161 product types, 99 UX guidelines, and 25 chart types across 10 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui, and HTML/CSS). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, and check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, and mobile app. Elements: button, modal, navbar, sidebar, card, table, form, and chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, and flat design. Topics: color systems, accessibility, animation, layout, typography, font pairing, spacing, interaction states, shadow, and gradient. Integrations: shadcn/ui MCP for component search and examples.
Conduct deep research using NotebookLM integration — upload documents, query with citation-backed answers, synthesize findings, and produce infographic-style presentations. Output in Markdown, HTML/reveal.js slides, or Mermaid diagrams with visual hierarchy design specifications.
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
Manage Yuque (语雀) knowledge bases, documents, and team collaboration through API integration. Supports personal search, weekly reports, knowledge base management, document CRUD, and group collaboration workflows. Based on yuque/yuque-skills.
Covers Trade Catalog module — products, SKU/offers, prices, inventory, discounts, bundles, export/import, catalog API choice. Applied for e-commerce features requiring prices, stock, and sale integration. Key terms — catalog, product, SKU, offer, price type, CCatalogProduct, catalog module.
Use for the Twingate Identity Firewall (IDFW) and the Twingate Gateway — protocol-level identity enforcement for SSH, the Kubernetes API, AND self-hosted/internal web apps, not just network-level access. LOAD whenever the user wants to grant, secure, SSO into, or audit access to a self-hosted or internal web application — including forwarding or injecting the logged-in user's identity into HTTP requests, or a per-user/request-level audit trail of who accessed an app. This is the Gateway acting as a Layer 7 reverse proxy that injects signed ES256 JWTs (Gateway Access Tokens) or trusted headers into web apps: JWKS verification, request-header injection, framework middleware (Express, Django, Next.js, Auth.js), and no-code SSO integrations (Grafana, Jenkins). Also use when the user deploys the Gateway; configures SSH privileged access with short-lived certificates; manages privileged / vendor / contractor access; configures Certificate Authorities (X.509 or SSH CA, local or HashiCorp Vault); routes kubectl through the Gateway; automates IDFW with Terraform or Ansible; or implements/reviews session recording (asciicast/.cast playback and archival, scanning recorded SSH or kubectl sessions for dangerous commands or leaked secrets, self-hosting a recording browse UI). If a question is about identity-aware access to an app or host — "can Twingate pass the user's identity to my app?", "audit who used this app", "SSO for my internal tool" — assume this skill is relevant and load it.
Evidence-grounded advisory pipeline for "how should this work?" questions about any real system — codebase, database, CRM/ERP, SaaS, API, data pipeline, infra. Three-stage multi-agent method; STUDY the business and the live system with parallel readers returning structured citable findings (read-only, evidence saved to disk), DESIGN with independent designers given deliberately different value systems, VERIFY with an adversarial reviewer that attacks every design against the live schema, code, and usage data before anything is recommended. Use whenever the user asks for advice or a recommendation that must be grounded in how their system actually works — "how should X convert/map/migrate/sync to Y", "study my business and advise", "what's the right way to integrate/restructure/redesign this", "should we copy or link this data", "is this conversion/mapping correct, and if not what should it be", reviewing a planned schema or integration change, or any "give me advice" about a system mechanism. Trigger even when the user never says "advice" but wants a defensible recommendation about an existing system. Do NOT use for quick opinion questions with no system to study, single-file refactors, status updates, or pure greenfield design with no existing system as ground truth (use brainstorming instead).
Comprehensive guide for building with Prisma 8 (Prisma Next), the contract-first data layer. Use whenever working on Prisma code in a project that uses it — authoring or editing the data contract (contract.prisma, PSL, TypeScript builders), migrations, queries (db.orm / db.sql), runtime wiring (db.ts, middleware, DATABASE_URL), build-tool integration, Supabase / RLS, reading PN-* structured errors, or filing feedback — and for orientation questions like "what is Prisma Next" or comparisons to other ORMs. Signals that this skill applies: @internal/* imports, prisma.config.ts, contract.prisma / contract.json / contract.d.ts, the prisma-next CLI, PN-* error codes. Also covers upgrading Prisma in a project — "upgrade Prisma 8", "bump Prisma Next", "move to Prisma Next X.Y", or dealing with an @internal/* version bump, in a consumer app or in an extension package. Does not apply to Prisma ORM 7 or earlier (schema.prisma + @prisma/client projects).
Guidance for Microsoft Defender for Cloud — AI workload protection (AI-SPM and runtime threat detection for generative AI). Covers AI Security Posture Management (discovery of Azure OpenAI / Azure AI Foundry / Amazon Bedrock / Google Vertex AI resources, identification of grounding data exposure, model deployment posture), runtime threat detection on Azure OpenAI (prompt injection / jailbreak attempts, sensitive data leakage in prompts/responses, wallet abuse, credential leakage), integration with Azure AI Content Safety Prompt Shields, attack path analysis for AI workloads, alert investigation in Defender XDR, and pairing with Purview DSPM for AI (user side) and Azure AI Content Safety (model side). WHEN: Defender for Cloud AI, AI-SPM, AI workload protection, Azure OpenAI threat detection, prompt injection alert, jailbreak alert Azure OpenAI, AI wallet abuse, AI workload posture, Amazon Bedrock posture, Vertex AI posture, generative AI security Azure. DO NOT USE for end-user AI usage governance (use purview-ai-hub), content moderation API (use azure-ai-content-safety), or M365 Copilot rollout (use copilot-for-m365-readiness).