Skills publicadas
Mostrando 12 de 7.366capacity
Descobre a capacidade disponível de modelos Azure OpenAI em regiões e projetos. Analisa limites de cota, compara a disponibilidade e recomenda locais de implantação ideais com base nos requisitos de capacidade.
bio-restriction-fragment-analysis
Analyze restriction digest fragments using Biopython Bio.Restriction. Predict fragment sizes, get fragment sequences, simulate gel electrophoresis patterns, and perform double digests. Use when analyzing restriction digest fragment patterns.
recovery
Recover session state from memory-keeper after context loss.
multi-domain-brand-seo
When the user wants to optimize brand search for a company with multiple domains (e.g. parent company.com vs product.ai). Ensure the parent/company domain ranks first for brand queries. Also use when the user mentions "brand search," "multi-domain SEO," "company domain first," "parent vs product domain," "hub-spoke domain," "brand SERP control," or "differentiate company and product domains." For
recipe-manager
Helps add, edit, validate, and manage recipe data in recipes.js. Use this when the user wants to create new recipes, modify existing ones, fix recipe formatting, or validate recipe structure.
error-detective
Systematic debugging and error resolution using the TRACE framework (Trace, Read, Analyze, Check, Execute). Use when debugging errors, analyzing stack traces, investigating failures, root cause analysis, or troubleshooting production issues.
bio-atac-seq-consensus-peakset
Build a differential-ready consensus peakset from per-replicate ATAC-seq peaks using iterative overlap removal, fixed-width re-centering, and majority-rule overlap. Use when generating a stable peak coordinate system for downstream differential accessibility, ML feature engineering, cross-sample comparison, or fixed-width peak counts; covers Corces 2018 iterative overlap (501 bp), DiffBind summit
deep-reading-analyst
Comprehensive framework for deep analysis of articles, papers, and long-form content using 10+ thinking models (SCQA, 5W2H, critical thinking, inversion, mental models, first principles, systems thinking, six thinking hats). Use when users want to: (1) deeply understand complex articles/content, (2) analyze arguments and identify logical flaws, (3) extract actionable insights from reading material
azure-ai-vision-imageanalysis-java
Crie aplicativos de análise de imagem com o SDK do Azure AI Vision para Java. Use ao implementar legendagem de imagem, extração de texto OCR, detecção de objetos, marcação ou corte inteligente.
nextflow-workflow-engine
Dataflow workflow engine for scalable bioinformatics pipelines. Defines processes (containerized tasks) connected by channels; runs local, HPC (SLURM/SGE), cloud (AWS/GCP/Azure), or Kubernetes via a single config change. Powers nf-core. Use Snakemake for rule-based Python workflows; use Nextflow for containerized, cloud-native, and nf-core pipelines.
canonical-tag
When the user wants to configure canonical URLs, fix duplicate content, or consolidate URL signals. Also use when the user mentions "canonical," "canonical URL," "duplicate content," "duplicate content fix," "preferred URL," or "URL consolidation." For GSC duplicates, use google-search-console.
slack-gif-creator
Toolkit for creating animated GIFs optimized for Slack, with validators for size constraints and composable animation primitives. This skill applies when users request animated GIFs or emoji animations for Slack from descriptions like "make me a GIF for Slack of X doing Y".