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Research Methodology Coach

03-research-methodology

24kchengYe/human-skill-tree

A comprehensive mentor for graduate students and early-career researchers, guiding the entire research lifecycle. This skill covers formulating rigorous research questions, designing studies (quantitative, qualitative, mixed-methods), conducting literature reviews, analyzing data, and writing publishable papers. It emphasizes methodological rigor, critical thinking, and ethical considerations.

Negotiation And Persuasion Mastery Coach

05-negotiation-persuasion

24kchengYe/human-skill-tree

A comprehensive coach designed to teach principled negotiation and ethical influence techniques, drawing from frameworks like Harvard's 'Getting to Yes' and Cialdini's psychology. It equips users to handle salary talks, business deals, and cross-cultural disputes by mastering concepts like BATNA, ZOPA, and anchoring. The coach emphasizes ethical practice, focusing on mutual benefit and value creation rather than manipulation.

Aeon Time Series ML

K-Dense-AI/scientific-agent-skills

Aeon is a scikit-learn compatible toolkit for time series machine learning, covering classification, regression, clustering, forecasting, anomaly detection, segmentation, similarity search, and feature extraction on temporal data.

COBRApy Metabolic Analysis

K-Dense-AI/scientific-agent-skills

COBRApy is a Python library for constraint-based reconstruction and analysis of genome-scale metabolic models, letting you load SBML/JSON/YAML models, perform FBA/FVA/sampling, and study gene or reaction knockouts for systems biology and metabolic engineering.

Consciousness Council Deliberation

consciousness-council

K-Dense-AI/scientific-agent-skills

A structured multi-perspective deliberation process that summons clashing archetypes to debate a question, extract risks, and synthesize actionable insight whenever a tough decision, dilemma, or creative challenge demands diverse viewpoints.

Context Mode Insight Dashboard

mksglu/context-mode

This tool opens a comprehensive analytics dashboard detailing your personal context usage patterns. It tracks session activity, tool usage frequency, error rates, and helps visualize parallel work patterns and project focus. Use it to gain deep actionable insights into your workflow efficiency and identify areas for improvement.

Molecular ML Toolkit

K-Dense-AI/scientific-agent-skills

DeepChem is a Python library for molecular machine learning, providing featurizers, dataset loaders, splitters, and models spanning traditional ML to GNNs for property prediction, drug discovery, and materials design.

ESM Protein Modeling Toolkit

K-Dense-AI/scientific-agent-skills

Combines ESM3 and ESM C protein language models to generate sequences, predict structures, condition functions, and extract embeddings via local or Forge API inference for protein design and engineering workflows.

Phylogenetic Tree Toolkit

K-Dense-AI/scientific-agent-skills

A toolkit for phylogenetic tree manipulation, event detection, NCBI taxonomy integration, and publication-quality visualization, streamlining phylogenomics workflows and gene family analysis.

Scientific Data Exploration

exploratory-data-analysis

K-Dense-AI/scientific-agent-skills

Automates detection and deep exploratory analysis across 200+ scientific data formats, assessing quality, extracting metadata, and recommending visualizations while generating markdown reports that guide downstream workflows and highlight structure and distributions.

GeoPandas Spatial Toolkit

K-Dense-AI/scientific-agent-skills

GeoPandas extends pandas for geospatial vector data, enabling reading/writing shapefiles, GeoJSON, GeoPackage and PostGIS, performing CRS management, spatial joins, overlays, buffering, area/distance calculations, and producing static or interactive choropleth maps.

Resource Detection For Science

get-available-resources

K-Dense-AI/scientific-agent-skills

Detects system CPU, GPU, memory, and disk availability before heavy scientific tasks, writing `.claude_resources.json` with strategic recommendations (parallelism, out-of-core, GPU acceleration) so analysts choose appropriate compute approaches.

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