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Found 1,496 Skills
Analyze a React/TypeScript component for compliance with coding guidelines and suggest improvements.
Guide for building with the Ika TypeScript SDK (@ika.xyz/sdk) on Mysten Sui v2. Use when creating dWallets, signing cross-chain transactions, managing encryption keys, or integrating with the Ika network from TypeScript/JavaScript. Triggers on tasks involving @ika.xyz/sdk, dWallet operations, IkaClient, IkaTransaction, or Ika cross-chain signing.
Use the unified Opper SDKs (`opperai` package for both Python and TypeScript, with built-in agent support) for AI task completion, structured output with Pydantic / Zod / JSON Schema, knowledge base semantic search, streaming, tracing, tool use, and multi-agent composition. Use this skill whenever the user is writing Python or TypeScript code that imports `opperai`, builds an Opper agent, or asks how to do anything Opper-related in code — even if they don't explicitly name the SDK. Both languages live in one repo with parallel numbered examples; agents are part of the SDK, not a separate package.
Use when writing, fixing, editing, or refactoring TypeScript, React, or CSS code. Not for PR or diff reviews — use clean-code-reviewer for those.
在 TypeScript repo 中接入 dependency-cruiser，让每个 package 成为 deep module：implementation 隐藏在 subfolders 中，只能通过 entry-point files 访问。User-invoked。
Compute market-data and trading analytics with the `fintech-algorithms` npm package — 324 zero-dependency TypeScript algorithms covering technical indicators (RSI, MACD, moving averages, Bollinger Bands, ATR, OBV, Stochastic), candlestick and chart patterns, market breadth, bar construction from tick data, OHLC validation and cleaning, corporate actions, index and benchmark construction, market microstructure, matching engines, execution and TCA, statistical time series, on-chain metrics and EPS analytics. Use when asked to analyse a price series, compute or explain an indicator, detect a candlestick or chart pattern, build bars from ticks, validate or clean market data, wire up a market-data provider, or when writing code that needs any of these calculations to be correct rather than approximated.
TypeScript and JavaScript standards. Use when writing TS/JS code. Covers strict mode, type patterns, error handling, imports, naming, testing, React conventions, and package management with bun.
HarmonyOS ArkTS application development with ArkUI declarative UI framework. Use when building HarmonyOS/OpenHarmony apps, creating ArkUI components, implementing state management with decorators (@State, @Prop, @Link), migrating from TypeScript to ArkTS, or working with HarmonyOS-specific APIs (router, http, preferences). Covers component lifecycle, layout patterns, and ArkTS language constraints.
Alba serializers + Typelizer for type-safe Inertia Rails props with auto-generated TypeScript types. Use when serializing models for Inertia responses, setting up Alba resources, generating TypeScript types from Ruby, or using Inertia prop options (defer, once, merge, scroll) with Alba attributes. Replaces as_json with structured, auto-typed ApplicationResource, page resources, and shared props resources. When active, OVERRIDES the `render inertia: { ... }` pattern from other skills — use convention-based instance variable rendering instead.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
TypeScript-native multi-agent orchestration framework that decomposes goals into task DAGs automatically with MCP and live tracing
Use when building, migrating, or debugging Agent Evals on Inngest: scoring AI agent or workflow outcomes, deferred scorers, sessions, traces, step experiments, experiment variant attribution, Insights queries, or production eval loops for prompts, models, tools, providers, and agent behavior. Covers TypeScript SDK v4 scoring beta APIs, `scoreMiddleware`, `step.score`, `inngest.score`, `createScorer`, `defer`, `group.experiment`, `experimentRef`, `meta.sessions`, and when to use durable workflow primitives for outcome-based evaluation.