探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Generates visually engaging, research-backed slide decks for conferences, seminars, and academic presentations using AI.
Guides users through statistical test selection, assumption verification, and APA-formatted research reporting.
Extracts clean, readable text from URLs by stripping away ads, navigation menus, and web clutter.
Automates scientific hypothesis generation and testing on tabular datasets by combining empirical data patterns with literature insights.
Orchestrates multiple specialized AI agents to execute complex, multi-component engineering tasks through intelligent decomposition and mission control.
Optimizes frontend styling and design systems through comprehensive CSS audits, modernization, and accessibility enforcement.
Monitors skill performance and gathers anonymous user feedback through a privacy-first, opt-in telemetry framework.
Streamlines academic research by automating literature searches, metadata extraction, and BibTeX citation formatting.
Generates professional, 50+ page market research reports in LaTeX format featuring advanced data visualizations and consulting-grade strategic frameworks.
Provides real-time access to X (Twitter) trends, news, and social media insights directly within Claude.
Implements rigorous statistical modeling, econometrics, and time series analysis using Python's statsmodels library.
Enables real-time, AI-powered web searches with cited sources and advanced reasoning capabilities through the Perplexity model family.
Provides comprehensive LaTeX templates and submission guidelines for major scientific journals, academic conferences, and grant proposals.
Evaluates the rigor of scientific claims by assessing methodology, identifying biases, and grading evidence quality using standardized frameworks.
Conducts comprehensive, multi-database literature searches and synthesizes findings into professionally formatted research documents with verified citations.
Automates LLM output testing and prompt optimization using the Promptfoo framework for systematic benchmarking.
Automates academic literature search and technical research using Perplexity's Sonar models with intelligent reasoning selection.
Creates publication-quality statistical graphics and complex data visualizations using a high-level Python interface.
Creates distinctive, production-grade frontend interfaces with a professional UI/UX designer's mindset and high-end aesthetic standards.
Facilitates the creation and integration of custom Amplifier modules including tools, providers, and hooks using standardized protocols.
Automates the creation of production-ready repositories with integrated CI/CD, branch protection, and automated release workflows.
Audits codebases for security vulnerabilities, technical debt, and production readiness using modern software engineering standards.
Enhances marketing and conversion copy using a systematic seven-sweep framework to improve clarity, voice, and impact.
Conducts structured, high-rigor peer reviews for scientific manuscripts and grant proposals using standardized reporting checklists.
Analyzes Claude Code conversation history to provide semantic search, pattern detection, and interactive activity dashboards.
Automates the creation of GitHub repositories with best-practice configurations for security, CI/CD, and community standards.
Implements Anthropic’s structured JSON outputs mode using Pydantic and Zod for guaranteed schema compliance.
Audits React and TypeScript applications for WCAG 2.2 Level AA compliance using risk-based severity scoring and MUI-specific awareness.
Validates and optimizes CLAUDE.md files against official Anthropic guidance and community best practices to ensure secure and efficient AI context management.
Guides developers in implementing Anthropic's structured outputs feature by selecting the optimal mode between JSON responses and strict tool use.
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