Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or...
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or...
Design and implement memory architectures for agent systems. Use when building agents that need to persist state across sessions, maintain entity consistency, or reason over structured knowledge.
Design and implement memory architectures for agent systems. Use when building agents that need to persist state across sessions, maintain entity consistency, or reason over structured knowledge.
Design and implement memory architectures for agent systems. Use when building agents that need to persist state across sessions, maintain entity consistency, or reason over structured knowledge.
This skill should be used when the user asks to "implement agent memory", "persist state across sessions", "build knowledge graph", "track entities", or mentions memory architecture, temporal...
This skill should be used when the user asks to "implement agent memory", "persist state across sessions", "build knowledge graph", "track entities", or mentions memory architecture, temporal...
This skill should be used when the user asks to "implement agent memory", "persist state across sessions", "build knowledge graph", "track entities", or mentions memory architecture, temporal...
Core LifeOS skill for research, synthesis, and Notion storage workflows
Design short-term, long-term, and graph-based memory architectures
Optimize job applications by tailoring resumes to job postings, generating customized cover letters, and preparing role-specific interview questions. Analyzes job descriptions to highlight...
Advanced data analysis, pattern detection, and insight generation from structured and unstructured datasets
Streamline business operations, eliminate inefficiencies, automate workflows, and improve productivity
Generate comprehensive trading plans with risk management, position sizing, entry/exit strategies, and performance tracking to trade with discipline and consistency.
Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.
Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.
Deep domain research and expertise synthesis across industries, combining academic research, market intelligence, and practitioner knowledge
Design multi-cloud and hybrid cloud strategies with vendor selection, integration patterns, TCO analysis, and lock-in mitigation.
Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.
フロントエンド（再レンダリング削減、メモ化、lazy loading）とバックエンド（N+1修正、インデックス、キャッシュ、非同期処理）両面のパフォーマンス改善。速度向上、最適化が必要な時に使用。