LeoLin990405

统一知识库编排层 - 协调 NotebookLM (云端 254+ notebooks) + Obsidian (本地笔记) + pdf-to-notebook (全自动PDF pipeline) + Gateway API (ccb-knowledge)

UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.

Comprehensive STEM academic modeling and documentation skill using CCB eight-model distributed architecture (Claude/Gemini/Codex/OpenCode/iFlow/Kimi/Qwen/DeepSeek). Use when creating academic STEM research notes, mathematical derivations, engineering documentation, or scientific papers requiring rigorous logic, mathematical proofs, code implementations, and cross-disciplinary synthesis. Triggers o

Compatibility wrapper for the legacy role-based PM playbooks workflow.

Cria interfaces frontend distintas e de nível de produção com alta qualidade de design, incluindo componentes web, páginas e aplicações. Gera código e design de UI criativos e polidos que evitam a estética genérica de IA.

Unified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Reactome) in a single workflow with consistent API. Best for cross-database analysis, ID mapping across services. For quick single-database lookups use gget; for sequence/file manipulation use biopython.

Guia de melhores práticas para design de repositórios GitHub e READMEs, ajudando a criar uma estrutura profissional para projetos de código aberto.

Career & personal skills from Lenny's Podcast - ideation, imposter syndrome, productivity

Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.

Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not have specific observations yet. For formulating testable hypotheses from data use hypothesis-generation.

Grave sessões do Claude Code com asciinema, usando acionadores como gravar sessão, asciinema record, capturar terminal e gravação de demonstração.

Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integrat