bg-szy

Convert between sequence file formats (FASTA, FASTQ, GenBank, EMBL) using Biopython Bio.SeqIO. Use when changing file formats or preparing data for different tools.

Git-aware undo by logical work unit (track, phase, or task)

This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility

Documentação para o backend FastAPI, seus endpoints e injeção de dependência.

Advanced skill for SnowTower infrastructure administrators. Use for SnowDDL operations, user provisioning, role management, CI/CD deployments, troubleshooting, and Snowflake administration. Triggers on mentions of snowddl, deploy, user creation, role grants, infrastructure changes, or admin operations.

Automação de navegador para descoberta de documentação. Use quando o curl falha em sites renderizados com JS, ao detectar ferramentas de navegador disponíveis ou ao configurar a coleta de documentação baseada em navegador.

Structured deal assessment using MEDDIC, BANT. Risk scoring, required evidence by stage, red flag detection, coaching points.

Use when user asks to "build a Solana dapp", "write an Anchor program", "create a token", "debug Solana errors", "set up wallet connection", "test my Solana program", "deploy to devnet", or "explain Solana concepts" (rent, accounts, PDAs, CPIs, etc.). End-to-end Solana development playbook covering wallet connection, Anchor/Pinocchio programs, Codama client generation, LiteSVM/Mollusk/Surfpool tes

Creates ergonomic slash commands (/command) that provide fast, unambiguous access to micro-skills, cascades, and agents. Enhanced with auto-discovery, intelligent routing, parameter validation, and command chaining. Generates comprehensive command catalogs for all installed skills with multi-model integration.

Setup instructions for this project

This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic recommendations that inform computational approach decisions such as whether to use parallel processing (joblib, multiprocessing), out-of-core computing (Dask, Za

Development standards for the Nathan n8n-Jira agent automation system.