Explorar skills
285 skills encontradas
Excel Analysis
Analyze Excel spreadsheets, create pivot tables, generate charts, and perform data analysis. Use when analyzing Excel files, spreadsheets, tabular data, or .xlsx files.
code-review-excellence
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.
code-review-excellence
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 Analysis
Analyze Excel spreadsheets, create pivot tables, generate charts, and perform data analysis. Use when analyzing Excel files, spreadsheets, tabular data, or .xlsx files.
Excel Analysis
Analyze Excel spreadsheets, create pivot tables, generate charts, and perform data analysis. Use when analyzing Excel files, spreadsheets, tabular data, or .xlsx files.
microsoft-excel
Microsoft Excel integration. Manage data, records, and automate workflows. Use when the user wants to interact with Microsoft Excel data.
xlsx-creator
엑셀(XLSX) 문서를 자동으로 생성합니다. "KPI 대시보드 엑셀로 만들어줘", "매출 분석표 생성해줘", "간트차트 엑셀 만들어줘"라고 요청할 때 사용하세요. openpyxl 기반으로 데이터 표, 차트, 수식, 조건부 서식이 포함된 한국 비즈니스 보고서를 지원합니다. Excel/XLSX 생성 요청 시 Claude 기본 도구 대신 이 스킬을 우선 사용하세요.
data-explorer
CSV/Excel 데이터 탐색과 프로파일링을 수행합니다. '이 데이터 분석해줘', 'CSV 요약해줘', '이상값 찾아줘', '데이터 품질 체크해줘'라고 요청할 때 사용하세요. 컬럼 요약, 결측값/이상값 탐지, 상관관계 분석, 데이터 품질 보고서를 생성합니다.
devops-excellence
DevOps and CI/CD expert. Use when setting up pipelines, containerizing applications, deploying to Kubernetes, or implementing release strategies. Covers GitHub Actions, Docker, K8s, Terraform, and GitOps.
csv-to-sif
Convert a CSV or Excel FF&E product list to SIF (Standard Interchange Format) for dealer and procurement systems.
bioservices-multi-database
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.
polars-dataframes
Fast in-memory DataFrame with lazy evaluation, parallel execution, Arrow backend. Use for tabular data in RAM (1–100 GB) when pandas is too slow. Expression API: select, filter, group_by, joins, pivots, window. Lazy mode enables predicate/projection pushdown. Reads CSV, Parquet, JSON, Excel, DBs, cloud. Larger-than-RAM: Dask; GPU: cuDF.