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Personal daily briefing and productivity assistant. Generates morning briefings with priorities, habits, and self-care reminders. Use when starting your day, planning tasks, or maintaining daily routines and personal development. A minimalist personal productivity skill focused on you.

A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and introduces randomized "mutations" to break local optima.

A股综合监控与分析工具，支持寒鸦框架决策输出。当用户询问「A股今天怎么样」「大盘如何」「哪些板块在动」「今日涨跌」「北向资金」「涨停/跌停」「市场情绪」「现在适合上仓位吗」「分析A股」「A股复盘」「当前主线是什么」「买入/卖出」「加仓/减仓」「仓位建议」时使用。覆盖实时行情监控、宏观快照、寒鸦四维决策框架（宏观定调/微观验证/情绪水位/风控矩阵）、核心企业篮子、短线情绪判断。所有操作建议均附免责声明「不构成投资建议」。

Parse, search, and analyze application logs across formats. Use when debugging from log files, setting up structured logging, analyzing error patterns, correlating events across services, parsing stack traces, or monitoring log output in real time.

Know what your competitors ship before their customers do. Automated monitoring of competitor websites, product pages, pricing, content, and social presence. Detects changes, extracts new features, tracks pricing updates, and alerts you with digestible summaries. Your agent watches the competition 24/7 so you can focus on building. Configure competitor tiers (fierce rivals get deep monitoring, adjacents get high-level), set check frequency, define alert thresholds, and receive smart diffs highlighting what actually matters. Use when setting up competitive intelligence, tracking product launches, monitoring pricing changes, or staying ahead of market moves.

Legislative tracking and government affairs monitoring for public policy communications and regulatory awareness

Build Model Context Protocol (MCP) servers with best practices. Generate production-ready MCP servers in Python or TypeScript with tools, resources, and prompts.

Root cause analysis using 5 Whys, fault tree, and dependency tracing. Find the real source of problems.

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).

递归自我改进系统，能够自动检测错误并修复，或持续优化和重构。包含修复模式和优化模式，支持并发执行、自动化测试、性能监控、智能调度、自适应学习、错误预测和异常恢复。用于需要持续自我优化的系统。

综合软件测试技能，涵盖单元测试、集成测试、TDD/BDD、Mock 策略和跨多种语言的测试自动化。使用此技能编写测试用例、设计测试策略、实现测试自动化，或需要测试框架和最佳实践指导时使用。适合通过综合测试方法确保代码质量。

Use when starting infrastructure, testing, deployment, or framework-specific tasks - automatically searches PRPM registry for relevant expertise packages and suggests installation to enhance capabilities for the current task

自动化测试专家，精通单元测试、集成测试、E2E测试和性能测试。能够设计和实施全面的测试策略，确保软件质量和可靠性。

Run targeted linting, formatting, and code quality checks on modified files. Use this to validate code style, type safety, security, and other quality metrics before committing. Supports running all checks or targeting specific checks on specific files for efficient validation.

Security scanning and vulnerability detection. Use when: authentication, authorization, payment processing, user data. Skip when: read-only operations, internal tooling.

Use when reviewing code for security vulnerabilities, implementing authentication flows, auditing OWASP Top 10, configuring CORS/CSP headers, handling secrets, input validation, SQL injection prevention, XSS protection, or any security-related code review.

Universal memory architecture for AI agents. Provides long-term memory, daily logs, diary, cron inbox, heartbeat state tracking, social platform post tracking, sub-agent context patterns, and adaptive learning -- everything an agent needs for identity continuity across sessions.

Reviews code for security vulnerabilities, performance issues, and best practices. Use when reviewing code, performing security audits, checking for code quality, reviewing pull requests.

Code review assistance with linting, style checking, and best practices

Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, layout, alignment, color, motion, micro-interactions, UX copy, error states, edge cases, i18n, and reusable design systems or tokens. Also use for bland designs that need to become bolder or more delightful, loud designs that should become quieter, live browser iteration on UI elements, or ambitious visual effects that should feel technically extraordinary. Not for backend-only or non-UI tasks.