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这份指南旨在指导大模型生成高质量、现代风格的简体中文内容。适用于周刊、博客文章、科技资讯及评论类文章等场景。

Export Feishu/Lark cloud documents to Markdown format for AI analysis.

Optimize vague prompts into precise, actionable specifications using EARS (Easy Approach to Requirements Syntax) - a Rolls-Royce methodology for transforming natural language into structured, testable requirements.

Define tools and enable AI agents to interact with external systems, APIs, and services using LangChain4j's annotation-based and programmatic tool system.

This skill generates comprehensive, requirement-driven test cases from PRD documents or user requirements.

The skill is based on uni-app documentation, generated at 2026-01-30.

Build workflow-based skills that execute reliably by following structural patterns, not prose.

Use this as a quick router to the right Skill for your task. Each entry links to a focused Skill optimized for a coding agent’s limited context.

Home Screen Widgets require native UI implementation (SwiftUI for iOS, XML/Kotlin for Android). The Flutter app communicates with these native widgets via shared local storage ( UserDefaults on iOS, SharedPreferences on Android) using the home_widget package.

Guide product managers through creating an Opportunity Solution Tree (OST) by extracting target outcomes from stakeholder requests, generating opportunity options (problems to solve), mapping potential solutions, and selecting the best proof-of-concept (POC) based on feasibility, impact, and market fit. Use this to...

Source details, install context, and public review data are available on the full page.

Status : Production Ready Last Updated : 2026-01-25 Dependencies : None (standalone skill) Latest Versions : firebase@12.8.0, firebase-admin@13.6.0

Articulate a problem from the user's perspective using an empathy-driven framework that captures who they are, what they're trying to do, what's blocking them, why, and how it makes them feel. Use this to align stakeholders on the problem before jumping to solutions, and to frame product work around user outcomes...

The Bolt framework is Slack's recommended approach for building apps. It handles authentication, event routing, request verification, and HTTP request processing so you can focus on app logic.

Source details, install context, and public review data are available on the full page.

This skill provides comprehensive patterns for testing utility classes and static methods using JUnit 5. It covers testing pure functions without side effects, edge case handling, boundary conditions, and common utility patterns like string manipulation, calculations, collections, and data validation.

Source details, install context, and public review data are available on the full page.

This is the v1.8+ canonical loop skill name. It supersedes autonomous-loops while keeping compatibility for one release.

To accomplish integration of LangChain4j with Spring Boot applications, follow this comprehensive guidance covering auto-configuration, declarative AI Services, chat models, embedding stores, and production-ready patterns for building AI-powered applications.

This skill provides comprehensive stock watchlist management capabilities, allowing users to track their favorite stocks and get performance summaries using real-time data from 同花顺 (10jqka.com.cn).

Manage multi-session development work with structured progress files, checkpoint commits, and durable learnings. Produces SESSION.md files that survive context compaction and enable clean handoff between sessions.

Implement Model Context Protocol (MCP) servers with LangChain4j to extend AI capabilities with standardized tools, resources, and prompt templates.

Source details, install context, and public review data are available on the full page.

Battle-tested patterns from Google, Uber, and the Go team. These are practices proven in large-scale production systems, updated for modern Go (1.25).