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Found 2,740 Skills
Orthogonally-integrated Hegelian syntopical analysis for SAQ/VIVA/concept grounding with systematic textbook citations. Implements thesis extraction → antithesis identification → abductive synthesis across multiple authoritative sources. Tensor-integrated with /m command: activates S×T×L synergies (textbook-grounding × pdf-search × qmd = 0.95). Triggers on requests for model SAQ responses, VIVA preparation, concept explanations requiring textbook evidence, or any PEX exam content needing systematic cross-reference validation.
Identify candidate stocks with sufficient pullbacks but intact trends and acceptable support structures, and output observation ranges, reversal signals, and invalidation conditions. Suitable for scenarios such as bargain-hunting opportunity screening, secondary entry for strong stocks, and pullback observation for trend stocks.
Content Collections TypeScript-first build tool for Markdown/MDX content. Use for blogs, docs, content sites with Vite + React, MDX components, type-safe Zod schemas, Contentlayer migration, or encountering TypeScript import errors, path alias issues, collection validation errors.
Evaluate a skill against the Legal Skill Design Framework — thirteen design parameters (including trust-surface, freshness, schema validation, and conflict detection), three legal failure modes, and a three-band verdict (Ready / Some Concern / Material Concerns). Use when deciding whether to trust a community skill before installing it, before deploying a first-party skill to your team, or whenever the user asks "should I trust this?" or "is this skill well-designed?". Runs automatically as part of /legal-builder-hub:skill-installer.
Use when the user wants to set up, scale, validate, or harden NVIDIA physical AI infrastructure for synthetic data generation workflows across local MicroK8s or Azure AKS, including Kubernetes clusters, inference endpoint deployment, OSMO deployment, workload submission readiness, and infrastructure failure recovery. Trigger keywords: physical ai infrastructure, resilient scaling, SDG infrastructure, microk8s, azure aks, NVCF deployment, NIM Operator, OSMO deploy, workflow scaling. Don't trigger for: OSMO log summarization or workload-only operations unless infrastructure setup, scaling, validation, or recovery is requested.
Used for smoke or dataset finetuning of NV-Segment-CT VISTA3D on CT NIfTI labels. Not for clinical validation.
Эксперт по санитизации ввода. Используй для XSS prevention, encoding, validation и security headers.
Enforce disciplined agent development workflows with plan-first development, small-slice execution, specialized self-review roles, quality gates, and project setup. Use when starting a new project, setting up development conventions, wanting structured planning, or needing the agent to follow best practices for code quality, review, and validation.
Implement quiz game logic including game creation, player turn management, score calculation, answer validation, and game completion. Use when building game flows, turn-based mechanics, and scoring algorithms.
Enterprise SaaS frontend — Tailwind v4, shadcn/ui, Next.js App Router or Vite SPA, accessibility, responsive design, component patterns. Use when: React component, Next.js page, frontend UI, Tailwind, shadcn, accessibility, a11y, responsive design, form validation, server component, client component, design system, dark mode, SaaS UI, dashboard, pricing page, enterprise UI, data table, landing page, Vite, React Router, SPA, single page app.
How to test domain models effectively: value object testing (immutability, validation), entity testing (identity, business logic), domain exception testing, aggregate testing, high coverage patterns (95%+), and testing invariants and constraints. Use when: Testing domain layer code, validating value objects, testing entities with business logic, ensuring domain invariants, or achieving 95%+ coverage on domain models.
Provides comprehensive guidance for Gin-Gonic framework including routing, middleware, validation, and best practices. Use when the user asks about Gin-Gonic, needs to create Go web applications, or implement Gin patterns.