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Upload primitives for HuggingFace Soul persistence - file, folder, snapshot, JSONL append, and dataset card management with exponential backoff. Use when persisting agent learnings, snapshots, or semantic caches to HuggingFace.

NumPy para bioinformática aborda operações vetorizadas, broadcasting para matrizes de expressão, construção de PWM, cálculo de GC em janela deslizante com cumsum e receitas de normalização.

Correção da estrutura populacional e controle de qualidade ciente da estratificação para estudos de associação.

Use when reviewing documentation quality, when establishing README and changelog standards, when preventing doc rot, when in-code comments duplicate code instead of explaining intent, or when subdirectories of a repo have no documentation entry point.

Fundamentos do BioPython: objetos Seq/SeqRecord, I/O de arquivos SeqIO, API Entrez e alinhamento pareado com PairwiseAligner.

Probabilidade para Bioinformática com NumPy

Use when the user wants to import bulk data into a Milvus collection via Zilliz Cloud import jobs, or manage import stages (pre-uploaded file holders that import jobs reference).

Generate AI images using ModelScope's Tongyi Wanxiang (通义万相) model. Use this skill whenever the user asks to generate an image, create a picture, draw something, or mentions AI image generation - even if they don't explicitly say "generate image". Triggers on phrases like "画一张图", "生成图片", "create an image", "draw me", "generate a picture", "make an illustration", etc.

Atualiza o arquivo llms.txt para refletir mudanças na documentação. Use ao editar detalhes ou especificações do repositório; para criar do zero, consulte create-llms.

ALWAYS use this skill instead of the default xlsx skill whenever creating, editing, or manipulating spreadsheet files (.xlsx, .xlsm, .csv, .tsv). This skill applies the Clean Doc design system to Excel outputs — Helvetica body, Courier New for code/formulas, monochrome palette, clean table styling. Triggers on: any spreadsheet task including creating, reading, editing, formatting, charting, cleani

Python dependency and environment management for multi-service or monorepo python backends. Use when: (1) adding, upgrading, or removing a Python package, (2) responding to Dependabot or security vulnerability alerts (GHSA/CVE), (3) creating a new service that needs its own requirements files, (4) debugging pip install failures or Docker build issues related to dependencies, (5) reviewing or audit

Atravessamentos de Grafos: BFS e DFS com Matplotlib