GitHub
resource-acquisition
Find and acquire computational science resources autonomously. Use when you need force field parameters, pseudopotentials, crystal structures, or any other scientific data. You are a researcher - you find what...
Skills IA blockchain scientific computing
Découvrez les skills blockchain scientific computing, comparez leurs dépôts et consultez leurs instructions.
Catégories: blockchain scientific computing
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Explorer
GitHub
first-principles-design
First-principles approach to plugin design. Use when designing new plugins, evaluating features, or simplifying existing implementations.
GitHub
deepresearch
Gemini Deep Research Agent - Multi-step research tasks
GitHub
research-strategy
Conduct systematic research with confidence scoring, source validation, and structured reporting for technology decisions and codebase analysis. Use for complex research tasks, technology selection, or best pra...
GitHub
research-deep-dive
Systematic deep research through discovery sources, vault, and web - refine query, collect papers, analyze, synthesize findings into comprehensive markdown report.
GitHub
research-memory-cleanup
Defragment and clean research agent memory - consolidate paper info, organize research domains, remove redundancy from research tracking.
GitHub
quantum-expert
Expert-level quantum computing, Qiskit, quantum algorithms, and quantum information
GitHub
biological-expert
Expert-level biology, biotechnology, genetics, bioinformatics, and computational biology
GitHub
matchms
Spectral similarity and compound identification for metabolomics. Use for comparing mass spectra, computing similarity scores (cosine, modified cosine), and identifying unknown compounds from spectral libraries...
GitHub
malware-patterns
Common malware behaviors and analysis patterns
GitHub
pubmed-gene-drug-research
Gene, drug compound, and disease research using NCBI Extended databases. Triggers: 基因, gene, 藥物, drug, compound, PubChem, ClinVar, 變異, variant, 臨床意義
GitHub
research-business-analysis
How to do research for benchmarking, financial and economic modeling, and other business analysis tasks.
GitHub
expert-analysis
Deep analysis of documentation/articles with practical application guidance. Use when user asks to "analyze and apply", "digest and implement", "read and integrate", or provides a document they want analyzed fo...
GitHub
airalogy-protocol
Expert guide for creating Airalogy Protocols (AIMD), Assigners (Python logic), and Validation Models. Use this to design digital workflows and experiments.
GitHub
similarity
Use when working with component similarity calculations - comparing MPNs, finding equivalent parts, implementing new similarity calculators, or understanding how component matching works.
GitHub
dataset-engineering
Create, clean, and optimize datasets for LLM fine-tuning. Covers formats (Alpaca, ShareGPT, ChatML), synthetic data generation, quality assessment, and augmentation. Use when preparing data for training.
GitHub
research-assistant
Conducts general research, summarizes information, compares options, provides insights
GitHub
region-aware-matching
Spatial region-aware cell matching for CODEX/scRNAseq integration
GitHub
data-intelligence-fabric
Institutional-grade data cleaning, tick physics auditing, and gap reconstruction.
GitHub
go-db-query
Skills for querying Gene Ontology annotation databases in DuckDB format. Use this for queries about GO annotations, genes, terms, evidence codes, or taxonomic relationships in GO-DB databases (db/*.ddb files)....
GitHub
random-selection
Randomly select items from lists using various algorithms for fair and unbiased selection
GitHub
digital-forensics
Digital forensics analysis and investigation tools for system security audits, file analysis, and evidence preservation
GitHub
brainstorm-skills
Deep iterative research using progressive flow psychology (diverge-analyze-converge-execute) with parallel agents, skeptical analysis, and multi-perspective synthesis. Use for thorough topic exploration, decisi...
GitHub
debug
Systematic error debugging with analysis, solution discovery, and verification
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.