Explorar skills

Master effective code review practices to provide constructive feedback, catch bugs early, and foster knowledge sharing while maintaining team morale. Use when reviewing pull requests, establishing review standards, or mentoring developers.

Build a full SaaS cohort analysis from a CRM (Attio/Stripe/CSV) joined to revenue (Stripe/Attio/CSV). Outputs a styled Excel workbook with conditional formatting (Customer Churn, MRR Churn, CAC Payback) plus per-section CSVs. Use when the user says "/cohort-analysis", "build a cohort table", "cohort analysis for <client>", "retention by signup month", or "show me NRR by cohort". One-shot, no wareh

Um pipeline completo de inteligência competitiva para qualquer ideia de negócio. Ele gera uma pasta de análise abrangente, incluindo pesquisa de concorrentes, matriz de recursos, análise de lacunas, oportunidades de IA, estratégia de preços e um painel HTML interativo.

Read-only CFO data dashboard for bootstrapped startups. Two modes, CSV templates (works with any stack: Attio/HubSpot/Salesforce + Qonto/Mercury/Brex + Stripe + Moss/Ramp/Pleo) or live API pull from Attio + Qonto + Stripe + Moss. Computes runway, burn rate, MRR/ARR, NRR, customer concentration, AR aging, DSO, vendor spend, departmental burn. Outputs an Excel workbook with 8 sheets. Use when the us

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

Guide for using Microsoft MarkItDown - a Python utility for converting files to Markdown. Use when converting PDF, Word, PowerPoint, Excel, images, audio, HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs, Jupyter notebooks, RSS feeds, or Wikipedia pages to Markdown format. Also use for document processing pipelines, LLM preprocessing, or text extraction tasks.

Master effective code review practices to provide constructive feedback, catch bugs early, and foster knowledge sharing while maintaining team morale. Use when reviewing pull requests, establishing review standards, or mentoring developers.

Excel (.xlsx) manipulation via MCP server. Use for creating workbooks, formatting cells, writing formulas, building charts, pivot tables, data analysis, or any task involving Excel spreadsheets.

Gerencia infraestrutura de TI, monitoramento, resposta a incidentes e confiabilidade de serviços. Fornece estruturas para gerenciamento de serviços ITIL, estratégias de observabilidade, automação, backup/recuperação, planejamento de capacidade e práticas de excelência operacional.

Unified Python interface to 40+ bioinformatics web services: UniProt proteins, KEGG pathways, ChEMBL/ChEBI/PubChem, BLAST, cross-database ID mapping, GO annotations, PPI. For deep single-DB queries use dedicated tools (gget for Ensembl, pubchempy for PubChem); bioservices excels at cross-database workflows.

Use after completing any PRD, spec, plan, or code implementation — verifies that artifact-specific pitfalls (security, idempotency, integration contracts, edge cases, LLM output) do not apply before declaring work done. Two rounds max.

Use after a PRD, spec, or implementation plan for a macOS app or feature — before implementation begins. Validates the artifact against Apple Human Interface Guidelines via WebFetch citations: vocabulary, control choices, keyboard shortcuts, semantic colors, sheets/popovers/alerts, animations, privileged operations, accessibility, menu bar, app lifecycle, dock behavior, App menu. Complementary to