Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.
npx skills add https://github.com/langgenius/dify/tree/main/skills/backend-code-reviewReview backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., .py) under the api/ directory. Do NOT use for frontend files (e.g., .tsx, .ts, .js). Supports pending-change review, code snippets review, and file-focused review.
This repo contains 3 individual skills — each has its own dedicated page.
Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component --json` shows complexity > 50 or lineCount > 300, when the user asks for code splitting, hook extraction, or complexity reduction, or when `pnpm analyze-component` warns to refactor before testing; avoid for simple/well-structured components, third-party wrappers, or when the user explicitly wants testing without refactoring.
Trigger when the user requests a review of frontend files (e.g., `.tsx`, `.ts`, `.js`). Support both pending-change reviews and focused file reviews while applying the checklist rules.
Generate Vitest + React Testing Library tests for Dify frontend components, hooks, and utilities. Triggers on testing, spec files, coverage, Vitest, RTL, unit tests, integration tests, or write/review test requests.
Search, retrieve, and traverse academic papers efficiently using an MCP server with support for institutional paywalls and multi-source research.
GoodMemory 是一个面向 AI 应用的**可插拔用户记忆层**。 它不替代： - LLM - agent framework - 向量数据库 - RAG 系统 它专注解决一个更具体的问题： > **如何让任何 chatbox / copilot / agent / workflow assistant 在不重训模型的前提下，真正“记住用户”。** GoodMemory 的核心不是“存更多”，而是： - 记什么 - 何时更新 - 如何检索 - 如何压缩 - 为什么引用 - 如何删除 - 如何控制跨 agent / 跨项目 / 跨租户边界 它的本质是一个： > **Personal Context Engine / Memory Layer for AI Apps**
🧠 Enhance AI conversations with Cognio, a persistent memory server that retains context and enables meaningful semantic search across sessions.
Automate text optimization with metric-driven loops for prompts, docs, and other files using OpenClaw
Enable trading and position tracking on regulated US prediction markets using Kalshi with OpenClaw and LLM-powered market analysis.
Compile domain-specific, freshness-aware knowledge surfaces as CLI tools, MCP servers, and Claude Code Skills.