探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Protects AI applications against prompt injection attacks by managing security patterns and automating regression testing.
Provides comprehensive expertise and implementation patterns for the entire Anthropic ecosystem, including Claude models, APIs, SDKs, and the Model Context Protocol.
Integrates real-time financial market data including stock quotes, forex rates, crypto prices, and company fundamentals via the FinnHub API.
Integrates applications with over 150 wearable devices and health data providers using a unified API interface.
Ensures deterministic results in Python research code by centralizing configurations, controlling randomness, and recording run metadata.
Automates the detection, retrieval, and integration of the latest Anthropic documentation to keep AI development skills current.
Conducts comprehensive, systematic quality assessments and production-readiness reviews for Claude Code skills across five key dimensions.
Standardizes Python code formatting, linting, and type checking to enhance long-term project maintainability.
Optimizes Amazon EKS clusters with intelligent, high-performance node autoscaling using Karpenter for significant cost reduction and faster provisioning.
Automates browser-based end-to-end testing to verify that feature implementations meet specific acceptance criteria.
Implements a multi-layered persistent memory architecture that enables AI agents to learn from experience and retain knowledge across sessions.
Orchestrates multi-step generative AI workflows using Amazon Bedrock's visual flow builder and specialized logic nodes.
Analyzes feature scope and project architecture to generate effort estimates, cost projections, and optimized development pipelines.
Integrates agent documentation and templates into existing repositories without overwriting or deleting current content.
Automates and manages Gemini CLI built-in tools for seamless file operations, web research, and secure shell execution.
Implement a multi-layered persistent memory architecture for AI agents to enable cross-session learning and long-term context retention.
Enforces repository execution discipline through small PRs, automated migration testing, and structured AI agent handoff protocols.
Validates feature implementation against acceptance criteria through automated test execution and code analysis.
Generates custom, project-specific Claude Code skills tailored to unique codebases, architectural patterns, and organizational workflows.
Applies consistent and standardized global commenting patterns across codebases using the Agent OS framework.
Generates comprehensive action plans with success criteria, risk assessment, and fallback strategies for complex technical tasks.
Generates structured, phase-based prompts for complex multi-step coding projects and migrations.
Implements advanced Gemini 3 Pro capabilities including function calling, structured JSON outputs, and cost-efficient context caching for production AI applications.
Accesses and queries the Human Metabolome Database for detailed metabolite information, clinical biomarkers, and biochemical pathways.
Validates source code against quality standards, style guidelines, and security best practices across multiple programming languages.
Diagnoses and resolves installation, authentication, and build errors within the Auto-Claude environment.
Generates structured, step-by-step implementation plans for repository code changes based on specified goals and codebase snapshots.
Automates state snapshots and rollbacks to ensure safe experimentation and reliable recovery during autonomous coding sessions.
Analyzes real-time stock sentiment on X (Twitter) using Grok to provide actionable market insights and retail investor mood.
Develops, tests, and deploys Deno-based serverless functions and webhooks within the Supabase ecosystem.
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