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bg-szy

7.366 skills 14.732 estrelas no total GitHub ↗

Skills publicadas

Mostrando 12 de 7.366

ai-rag-pipeline

2

Esta skill constrói pipelines RAG (Geração Aumentada por Recuperação) com pesquisa web e LLMs, permitindo pesquisa, verificação de fatos, respostas fundamentadas e recuperação de conhecimento para agentes de IA, assistentes de pesquisa e bases de conhecimento.

Pesquisa e Web #ai #llm por bg-szy

airflow-dag-patterns

2

Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.

Automação #ai #deploy por bg-szy

design-sprint

2

Run a structured 5-day process to prototype, test, and validate product ideas with real users. Use when the user mentions "design sprint", "validate in a week", "rapid prototype", "test with users", "de-risk before building", "GV sprint", "prototype testing", or "design workshop". Also trigger when a team needs to make a critical product decision quickly, resolve stakeholder disagreements, or test

Design e Frontend #api #test por bg-szy

bio-vcf-statistics

2

Generate variant statistics, sample concordance, and quality metrics using bcftools stats and gtcheck. Use when evaluating variant quality, comparing samples, or summarizing VCF contents.

Escrita e Conteúdo por bg-szy

pptx

2

Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks

Produtividade #pptx por bg-szy

investigating-codebases

2

Automatically activated when user asks how something works, wants to understand unfamiliar code, needs to explore a new codebase, or asks questions like "where is X implemented?", "how does Y work?", or "explain the Z component"

Design e Frontend #ai por bg-szy

langfuse

2

Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for debugging, monitoring, and improving LLM applications in production. Use when: langfuse, llm observability, llm tracing, prompt management, llm evaluation.

Dados e Análise #ai #llm por bg-szy

agentic-eval

2

Evaluate and improve AI-generated output with explicit rubrics, reflection loops, and stop conditions. Use when building self-critique workflows, evaluator-optimizer pipelines, or acceptance gates for code, docs, analysis, or plans.

Design e Frontend #ai por bg-szy

calc

2

Criação de planilhas, conversão de formatos (ODS/XLSX/CSV), uso de fórmulas e automação de dados com LibreOffice Calc.

Documentos #xlsx por bg-szy

bio-liquid-biopsy-pipeline

2

Cell-free DNA analysis pipeline from plasma sequencing to tumor monitoring. Preprocesses cfDNA reads, analyzes fragment patterns, estimates tumor fraction from sWGS, and optionally detects mutations from targeted panels. Use when analyzing liquid biopsy samples for cancer detection or monitoring.

Design e Frontend por bg-szy

exa-search

2

Web toolkit powered by Exa, tuned for scientific and technical content. Use this skill when the user needs to search the web or fetch/extract URL content. Covers: web search (semantic lookups, research, current info — with optional research-paper category and academic domain filtering) and URL extraction (fetching pages, articles, academic PDFs in batch). Use this skill for web-related tasks when

Pesquisa e Web #ai #pdf por bg-szy

env-handler

2

Manage environment variables securely. Handles distinction between .env (template) and .env.local (secrets).

Pesquisa e Web por bg-szy