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Found 1,131 Skills
Guides MongoDB users through implementing and optimizing Atlas Search (full-text), Vector Search (semantic), and Hybrid Search solutions. Use this skill when users need to build search functionality for text-based queries (autocomplete, fuzzy matching, faceted search), semantic similarity (embeddings, RAG applications), or combined approaches. Also use when users need text containment, substring matching ('contains', 'includes', 'appears in'), case-insensitive or multi-field text search, or filtering across many fields with variable combinations. Provides workflows for selecting the right search type, creating indexes, constructing queries, and optimizing performance using the MongoDB MCP server.
Customize and apply Syncfusion Blazor themes — Theme Studio color customization, CSS/SCSS integration, lightweight themes, component filtering, and Sass variable overrides
Fast, accurate, DOM-free text measurement and layout library for JavaScript/TypeScript supporting multiline, rich-text, and variable-width layouts.
(heropy) Use when migrating an existing Vite + React (TypeScript) project to Next.js (App Router, v16). Converts entry points, routing (React Router → App Router), environment variables, path aliases, static assets, and styling setup.
Bun implementation guide for PMA-managed backend and full-stack projects. Covers project layout (src/modules), strict linting with ESLint + @antfu/eslint-config, database access (Drizzle ORM + bun:sqlite or PostgreSQL), HTTP patterns (OpenAPIHono + Bun.serve), layered config with environment variables, dual logging (consola + pino), single-binary compilation with embedded assets, and CI quality gates.
Base/variable split recommendations, accelerators, decelerators, quota retirement methods, SPIFs, cost of sales tracking.
Configures the iii engine via iii-config.yaml — modules, adapters, queue configs, ports, and environment variables. Use when deploying, tuning, or customizing the engine.
Guide for using Netlify AI Gateway to access AI models. Use when adding AI capabilities or selecting/changing AI models. Must be read before choosing a model. Covers supported providers (OpenAI, Anthropic, Google), SDK setup, environment variables, and the list of available models.
Decision Coaching for Vue Component/Composable Refactoring — Users paste a piece of code or point to an SFC, and the skill first performs a diagnosis ("Fat Trunk" / "UI & IO Entanglement" / "Reactivity & Business Logic Entanglement"), then selects one from three recipes, and provides a specific sequence of extraction steps (which variable to move first, what errors the compiler will throw, how to fix them one by one, when rollback is possible). The entire process ensures behavioral equivalence through compiler green lights + step-by-step rollback, without relying on test safeguards. Trigger scenarios: Users say "This Vue component is too fat / I want to extract the logic / Split this SFC / This composable is too messy / Extract a composable / Split into humble / Pure functionalize", or point to an obviously overlong .vue / composable file and request "Refactor / Optimize / Split". Only handles Vue (Vue 2 Options, Vue 2/3 `<script setup>`, composable, pinia store). Does not handle: Adding new features (follow feature process), fixing bugs (follow issue process), cross-module architecture restructuring, backend code.
End-to-end deep research and analysis pipeline. Takes a raw idea or market question, conducts deep web research, builds a competitive landscape, runs multi-framework intelligence analysis (/think), stress-tests it (/red-team), researches the red team findings, re-thinks with adversarial data, re-red-teams, and iterates until divergence between think and red-team is low (conviction stabilizes). Then generates a comprehensive single-file HTML report with all findings: market landscape, competitive analysis, intelligence briefs, red team results, how to win, and how you could lose. Use when the user says "/deepthink", "deep think", "deep research", or wants a comprehensive research-to-report pipeline on any idea, market, or strategic question.
Adversarial stress-test of a /think intelligence brief. Reads the think output markdown, then deploys 5-7 of the same analytical frameworks — but each one is hunting exclusively for reasons the recommendation is wrong, the conviction is unearned, and the idea will fail. Every framework becomes a prosecutor, not a judge. Surfaces the strongest kill shots, identifies which parts of the original brief are load-bearing but unverified, and produces a Red Team Report with a survival verdict. Use when the user says "red-team this", "attack this", "poke holes", "steel-man the opposition", "why is this a bad idea", "/red-team", or presents a /think brief they want stress-tested.
A hand-drawn wireframe exploration — graph-paper background, marker / pencil tone, multiple tab labels for variants, sticky-note annotations, scribbled chart placeholders, hatched fills. Reads like a designer's whiteboard before any pixels are committed. Use when the brief asks for "wireframe", "sketch wireframe", "hand-drawn", "lo-fi", "whiteboard", "草稿", or "手绘原型".