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Found 7,116 Skills
Apply modern Go syntax guidelines based on project's Go version. Use when user ask for modern Go code guidelines.
Low-level Go terminal primitives - cell-based rendering, input handling, screen management. Use when building custom Go terminal renderers, ultraviolet, cell buffers, or performance-critical TUI work below Bubble Tea's abstraction level.
This skill should be used when the user needs to query COSMIC Cancer Gene Census to check if genes are known cancer genes. Triggers include requests to annotate genes with cancer information, check if variants are in cancer genes, or retrieve cancer gene properties from COSMIC database.
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
Use when working with n8n's built-in Data Tables, designing schemas, inserting/updating/upserting rows, deduping, or querying. Triggers on "Data Table", "data table", `n8n-nodes-base.dataTable`, "dedup", "idempotency", "lookup", "persistent state", "store across executions", or any schema design discussion inside n8n.
[Hyper] Use when working on Next.js projects or introducing App Router into a codebase. Enforces official Next.js architecture rules for app structure, Server and Client Component boundaries, server-first data fetching, and a default decision order of Server Components for reads, Server Actions for internal writes, Route Handlers for HTTP-native endpoints, and Proxy only as a last resort.
The method for finding the gap between what a system is supposed to do and what the code actually does — the class of bug generic scanners miss because they have no model of intent. Defines what counts as documented intent, what counts as implementation evidence, which mismatches matter, and how to avoid hand-wavy findings. Use when auditing AI-built code, reviewing access control against documented permissions, or checking whether a codebase matches its own documentation.
Choose and audit startup metrics using Croll and Yoskovitz's "Lean Analytics". Use when the user mentions "what metrics should we track", "KPIs", "north star metric", "One Metric That Matters (OMTM)", "vanity metrics", "analytics dashboard", "DAU/MAU", "churn benchmark", or "measure product-market fit". Also trigger when choosing metrics for a startup or feature, auditing a dashboard for vanity metrics, setting metric targets and baselines, or instrumenting a product by business model and stage. Covers good-vs-vanity metrics, the One Metric That Matters, metrics by business model, the five startup stages, and benchmarks. For the build-measure-learn loop, see lean-startup. For fixing activation and retention, see improve-retention.
Draft publication-ready Methods sections for interview-based sociology articles. Guides pathway selection, component coverage, and calibration based on analysis of 77 Social Problems/Social Forces articles.
Create LinkedIn post graphics. Decides between an HTML/CSS structured graphic or an AI-generated infographic based on the post content. Use this skill whenever the user says "design a graphic", "create a visual", "make an image", "graphic for my post", "LinkedIn image", or wants any visual content to pair with a LinkedIn post. Also trigger when the user finishes writing a post and wants a matching graphic.
Modernize and improve legacy codebases while maintaining functionality. Use when you need to refactor old code, reduce technical debt, modernize deprecated patterns, or improve code maintainability without breaking existing behavior.
Apply 2026's top graphic design trends to any creative brief. Based on Kittl × Savee's 2026 Design Trends Report (10 trends + 2 honorable mentions), backed by Adobe, Figma, and Pinterest data. Use when: **Designing a brand identity** — pick the right aesthetic for your audience; **Creating social media assets** — use trending visual languages that perform; **Briefing a designer or AI image tool** — give precise style direction with vocabulary and references; **Refreshing a visual identity** — know what's rising vs saturating; **Building mood boards** — combine trends intentionally with data-backed rationale.