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Fluxo de trabalho para análise metabolômica, cobrindo processamento de dados LC-MS, identificação de metabólitos, análise estatística e mapeamento de vias. Utilize ao conduzir experimentos de metabolômica.

Generate format-controlled research reports with evidence tracking, citations, and iterative review. This skill should be used when users request a research report, literature review, market or industry analysis, competitive landscape, policy or technical brief, or require a strict report template and section formatting that a single deepresearch pass cannot reliably enforce.

Transform and export data using DuckDB SQL. Read CSV/Parquet/JSON/Excel/databases, apply SQL transformations (joins, aggregations, PIVOT/UNPIVOT, sampling), and optionally write results to files. Use when the user wants to: (1) Clean, filter, or transform data, (2) Join multiple data sources, (3) Convert between formats (CSV→Parquet, etc.), (4) Create partitioned datasets, (5) Sample large dataset

Expert Git skills covering interactive rebase, worktree management, reflog recovery, bisect debugging, advanced workflows, commit message best practices, and clean history management. Use this skill when needing advanced Git operations, cleaning commit history, managing multiple worktrees, recovering lost commits, debugging with bisect, or implementing sophisticated Git workflows.

Arrays de sufixos são um índice de sufixos ordenado e eficiente em espaço, com construção em O(n log n) e busca de padrão em O(m log n).

Install or remove project-level automation hooks for the code-to-docs lifecycle. Setup adds SessionStart (digest on session start) and PostToolUse (update hint after git commits) hooks. Teardown removes only code-to-docs hooks. Use when someone wants to automate doc updates, set up hooks, or remove hooks.

Methodology and process documentation for AI-assisted technical writing and review — a practical exploration.

Model construction and prior specification for Marketing Mix Models with pymc-marketing. Use when building a new MMM, choosing adstock/saturation transformations, specifying priors with moment matching, configuring the likelihood, setting up the model constructor, or designing the fitting strategy. Also activate when discussing prior calibration, spend-share sigma, channel prior tables, or model_c

Triagem virtual para descoberta de medicamentos: modelagem de farmacóforos, filtragem de pontuação de docking e previsão de ADMET. Utilize ao rastrear computacionalmente bibliotecas de compostos.

Use esta skill para migrar do OpenClaw para o Hermes Agent, atualizar workspaces OpenClaw, preservar configurações e depurar problemas de gateway pós-migração. É relevante para solicitações que mencionam OpenClaw, Hermes Agent ou `hermes claw migrate`.

A genética populacional abrange o equilíbrio de Hardy-Weinberg, simulação de deriva de Wright-Fisher, modelos de seleção, relógio molecular, dN/dS, D de Tajima, Fst e desequilíbrio de ligação.

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