Loading...
Loading...
Found 1,059 Skills
Use this skill to implement hybrid search combining BM25 keyword search with semantic vector search using Reciprocal Rank Fusion (RRF). **Trigger when user asks to:** - Combine keyword and semantic search - Implement hybrid search or multi-modal retrieval - Use BM25/pg_textsearch with pgvector together - Implement RRF (Reciprocal Rank Fusion) for search - Build search that handles both exact terms and meaning **Keywords:** hybrid search, BM25, pg_textsearch, RRF, reciprocal rank fusion, keyword search, full-text search, reranking, cross-encoder Covers: pg_textsearch BM25 index setup, parallel query patterns, client-side RRF fusion (Python/TypeScript), weighting strategies, and optional ML reranking.
Integration guide for the Bloque SDK — a TypeScript SDK for programmable financial accounts, cards with spending controls, and multi-asset transfers. Use when the user asks to "integrate Bloque", "create a card", "set up spending controls", "handle card webhooks", "transfer funds", "create pockets", "set up MCC routing", or build any fintech feature on the Bloque platform.
Type-safe ORM for Cloudflare D1 databases using Drizzle. Provides patterns for schema definition, migrations, and type-safe queries. Prevents transaction errors and schema mismatches. Includes templates for strict TypeScript usage.
Domain-Driven Design system for software development. Use when designing new systems with DDD principles, refactoring existing codebases toward DDD, generating code scaffolding (entities, aggregates, repositories, domain events), facilitating Event Storming sessions, creating bounded context maps, or performing code reviews with a DDD lens. Covers both strategic design (bounded contexts, subdomains, context maps, ubiquitous language) and tactical design (entities, value objects, aggregates, domain services, repositories). Supports all major architecture patterns (Hexagonal/Ports & Adapters, CQRS, Event Sourcing, Clean Architecture) with language-agnostic guidance and concrete examples in Python and TypeScript.
Complete guide for Colorffy UI and CSS frameworks. Colorffy UI is a modern Vue 3 / Nuxt 3 component library with 70+ unstyled, headless components (buttons, cards, forms, dialogs, navigation, etc.) with TypeScript support. Colorffy CSS is an expressive SCSS framework with tonal color system, utility classes, and layout systems (grid, flexbox). Use when working with Colorffy packages, setting up Vue/Nuxt projects with Colorffy, choosing components, applying styles, using utility classes, implementing layouts, or integrating Colorffy UI with Colorffy CSS or custom styles.
代碼實作階段觸發。強制執行統一的編碼規範，支援 Java、TypeScript、Go 多語言。包含 Input/Output 模式、依賴注入、不可變物件等規範，確保代碼風格一致性。
專責處理 CBF (Commanded Behavior Frame) 類型的需求。讀取規格目錄結構，生成/審查 Command Side 設計與實作。支援 Java、TypeScript、Go 多語言。
Provides comprehensive guidance for Pinia state management including stores, state, getters, actions, plugins, and TypeScript support. Use when the user asks about Pinia, needs to manage application state, create stores, implement state persistence, or migrate from Vuex.
Engineer effective LLM prompts using zero-shot, few-shot, chain-of-thought, and structured output techniques. Use when building LLM applications requiring reliable outputs, implementing RAG systems, creating AI agents, or optimizing prompt quality and cost. Covers OpenAI, Anthropic, and open-source models with multi-language examples (Python/TypeScript).
Remove code comments via natural language guidance, suitable for simple scenarios in languages such as Python, JavaScript, TypeScript (.ts/.tsx), Java, C/C++, Go, HTML, etc.
Work with NFDomains (NFDs), the Algorand Name Service (.algo domains), using the @txnlab/nfd-sdk TypeScript SDK. Use when building features that involve resolving .algo domain names to addresses (or reverse), displaying NFD avatars and metadata, searching for NFDs, minting new NFDs, purchasing NFDs from the marketplace, managing NFD metadata and linked addresses, working with NFD segments (subdomains), interacting with NFD vaults, or integrating NFD name resolution into Algorand applications.
Use this skill when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, generating test scaffolds, mocking LLM/tool behavior, running trajectory evaluation (match or LLM-as-judge), running LangSmith dataset evaluations, and comparing two agent versions with A/B-style offline analysis. Use it for Python and JavaScript/TypeScript workflows, evaluator design, experiment setup, regression gates, and debugging flaky/incorrect evaluation results.