Use when working with comprehensive review full review
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Use when working with comprehensive review full review
Use when working with comprehensive review full review
model-testing
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Automated A/B testing and multi-model comparison for AI models with data-driven recommendations
create-subagents
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Expert guidance for creating, building, and using Claude Code subagents and the Task tool. Use when working with subagents, setting up agent configurations, understanding how agents work, or using...
chrome-automation
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Chrome 浏览器自动化操作。当用户需要自动化浏览器操作、网页测试、数据抓取或 UI 自动化时使用此技能。
upstream-compare
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Use when facing decisions with multiple legitimate perspectives and inherent tensions. Invoke when stakeholders have competing priorities (growth vs. sustainability, speed vs. quality, innovation...
Create detailed user personas based on research and data. Develop realistic representations of target users to guide product decisions and ensure user-centered design.
skill-audit
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Audits skills for discoverability and triggering effectiveness. Use when reviewing skill descriptions, checking trigger coverage, validating progressive disclosure, fixing invocation issues, or...
Use when designing or reviewing systems handling sensitive data (PII, PHI, financial, auth credentials), building features with security implications (auth, payments, file uploads, APIs),...
Decision Helper
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Make better decisions using structured frameworks and mental models
Use when designing organizational structure (team topologies, Conway's Law alignment), mapping stakeholders by power-interest for change initiatives, defining team interface contracts (APIs, SLAs,...
access-control-rbac
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Implement Role-Based Access Control (RBAC), permissions management, and authorization policies. Use when building secure access control systems with fine-grained permissions.
torchdrug
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Graph-based drug discovery toolkit. Molecular property prediction (ADMET), protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis, GNNs (GIN, GAT, SchNet), 40+ datasets,...
torchdrug
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Graph-based drug discovery toolkit. Molecular property prediction (ADMET), protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis, GNNs (GIN, GAT, SchNet), 40+ datasets,...
llamaindex
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Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal...
llamaindex
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Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal...
llamaindex
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Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal...
Investment Analyzer
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Analyze investment opportunities across asset classes with risk assessment, return modeling, and portfolio optimization