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Pymoo Multi-Objective Optimization

K-Dense-AI/scientific-agent-skills

Python framework for single- and multi-objective optimization with NSGA-II/III, MOEA/D, and SPEA2. Supports constraints, ZDT/DTLZ benchmarks, Pareto front analysis, and visualization for engineering design.

PyTDC Therapeutic ML Toolkit

K-Dense-AI/scientific-agent-skills

PyTDC enables discovery of therapeutic machine learning tasks, access to approved datasets, task-aware data splits, evaluation metrics, benchmark groups, and molecular oracle workflows. Designed for biomedical research and drug discovery applications using Python.

Optimizing Qdrant Query Latency

qdrant-minimize-latency

github/awesome-copilot

A comprehensive guide for optimizing query latency in Qdrant. This resource explains advanced performance tuning techniques, focusing on critical resource management like RAM utilization, segment count adjustments, and HNSW parameter tuning. It details strategies for scaling, quantization, and hardware considerations (e.g., local NVMe) to ensure consistently low-latency search performance, and outlines common pitfalls to avoid.

Qiskit Quantum Circuit Development

K-Dense-AI/scientific-agent-skills

Qiskit is a Python framework for building, simulating, and executing quantum circuits. It supports local simulation, noisy simulation, and IBM Quantum hardware execution. Users can utilize V2 primitives like Sampler and Estimator for variational algorithms and quantum machine learning tasks.

Scientific Brainstorming Facilitation

scientific-brainstorming

K-Dense-AI/scientific-agent-skills

Facilitates evidence-aware scientific ideation with independent generation, structured discussion, explicit assumptions, transparent evaluation, adversarial review, and decision logs. Use for early-stage research brainstorming and prioritizing candidate directions.

Survival Analysis with Scikit-Survival

scikit-survival

K-Dense-AI/scientific-agent-skills

Build, evaluate, and audit right-censored or competing-risk survival workflows with scikit-survival 0.28.0, covering leakage-safe pipelines, model selection, time-dependent prediction, and censoring-aware metrics such as IPCW concordance, dynamic AUC, and Brier scores.

SHAP Model Interpretability Guide

K-Dense-AI/scientific-agent-skills

This skill covers using the SHAP library to explain and audit machine learning predictions. It guides users on selecting explainers, computing feature attributions, and validating results. It includes workflows for local and global visualizations, handling multi-output models, and ensuring model behavior descriptions are accurate without implying causality. Requires Python 3.12+ and specific SHAP versions.

Treatment Plan Documentation Validator

treatment-plans

K-Dense-AI/scientific-agent-skills

Formats and structurally validates local treatment-plan documentation after clinical decisions are supplied and verified by authorized professionals; not for clinical decision-making.

Academic Venue Templates

venue-templates

K-Dense-AI/scientific-agent-skills

Prepare journal manuscripts, conference papers, posters, and grant documents with venue-specific formatting guidance, verification-first rules, and bundled LaTeX scaffolds.

Software Requirements Generation

kiro-spec-requirements

Generate comprehensive software requirements specifications following EARS format. Analyzes project context, creates acceptance criteria, and ensures scope boundaries are clearly defined before implementation. Supports both greenfield and brownfield projects with sub-agent delegation for codebase exploration and domain research.

Specification Implementation Task Generator

kiro-spec-tasks

This skill generates actionable implementation tasks from product specifications, requirements, and design documents. It ensures tasks are properly sized, mapped to requirements, and include clear completion criteria. It supports parallel or sequential execution modes and includes a sanity review gate to verify task executability before finalizing the task plan.

Secure Algolia Access Control Patterns

algolia-enterprise-rbac

jeremylongshore/claude-code-plugins-plus-skills

This guide demonstrates how to implement robust Role-Based Access Control (RBAC) for Algolia Enterprise environments. It covers defining granular permissions using ACLs, generating Secured API Keys for strict multi-tenant data isolation, and building middleware to validate service permissions, ensuring the principle of least privilege in large-scale applications.

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