探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Validates and optimizes CLAUDE.md files against official Anthropic guidance and community best practices to ensure secure and efficient AI context management.
Streamlines GitHub Pull Request workflows by automating creation, review responses, and merging through a unified interface.
Builds sophisticated, interactive data visualizations and custom SVG-based charts using the D3.js library.
Audits React and TypeScript applications for WCAG 2.2 Level AA compliance using risk-based severity scoring and MUI-specific awareness.
Implements Anthropic’s structured JSON outputs mode using Pydantic and Zod for guaranteed schema compliance.
Automates the creation of GitHub repositories with best-practice configurations for security, CI/CD, and community standards.
Analyzes Claude Code conversation history to provide semantic search, pattern detection, and interactive activity dashboards.
Conducts structured, high-rigor peer reviews for scientific manuscripts and grant proposals using standardized reporting checklists.
Enhances marketing and conversion copy using a systematic seven-sweep framework to improve clarity, voice, and impact.
Audits codebases for security vulnerabilities, technical debt, and production readiness using modern software engineering standards.
Build and manage reusable, production-grade Terraform modules for AWS, Azure, and GCP following industry-standard infrastructure-as-code patterns.
Builds efficient database schemas, optimized SQL queries, and robust ETL pipelines with a focus on data integrity and performance.
Automates the creation of production-ready repositories with integrated CI/CD, branch protection, and automated release workflows.
Facilitates the creation and integration of custom Amplifier modules including tools, providers, and hooks using standardized protocols.
Creates distinctive, production-grade frontend interfaces with a professional UI/UX designer's mindset and high-end aesthetic standards.
Architect and deploy resilient, cloud-agnostic systems across AWS, Azure, and GCP using proven decision frameworks and cross-provider service mapping.
Creates publication-quality statistical graphics and complex data visualizations using a high-level Python interface.
Automates academic literature search and technical research using Perplexity's Sonar models with intelligent reasoning selection.
Prevents credential leaks by automatically scanning and removing hardcoded secrets before packaging codebases with Repomix.
Automates the creation of standardized Git commits by analyzing project rules and repository history.
Automates complex time-series forecasting pipelines including trend analysis, seasonality detection, and multi-model predictions.
Automates LLM output testing and prompt optimization using the Promptfoo framework for systematic benchmarking.
Researches and synthesizes official framework documentation, implementation patterns, and version-specific constraints to streamline library integration.
Automates the end-to-end feature development lifecycle by chaining proposals, implementation, and archiving with integrated self-review and git commits.
Builds production-grade React Native applications using Expo, modern navigation patterns, and robust offline-first data strategies.
Generates professional PDF documents programmatically using both low-level drawing and high-level layout frameworks.
Refactors Claude Code skills using Progressive Disclosure Architecture to reduce token consumption by up to 95%.
Conducts comprehensive, multi-database literature searches and synthesizes findings into professionally formatted research documents with verified citations.
Implements database-backed rate limiting and usage tracking for API endpoints to prevent resource abuse.
Provides AST-aware codebase mapping and semantic search to help AI agents understand complex code structures and dependencies.
Scroll for more results...