Skill-uri pentru agenți pe care le poți verifica înainte să le instalezi
Skill-uri SKILL.md publice din depozite GitHub cu peste 50 de stele și de la producători, scanate și evaluate. Instalează oricare dintre ele cu o singură comandă în Claude Code, Cursor, Codex, GitHub Copilot sau Gemini CLI.
6.758 de skill-uri din 166 de depozite · actualizat acum 22 de minute
154 de skill-uri
- setupbrycewang-stanford/Auto-Empirical-Research-SkillsDiverga v12.0 setup wizard. 4-step researcher profile setup. Captures discipline, experience, tools, database access, and Agent Teams + VS Arena preference. Triggers: setup, configure, 설정, installDateFără avertismente★ 4,7 K↓ —
- academic-baselinebrycewang-stanford/Auto-Empirical-Research-SkillsUse when working on any empirical academic research context — paper writing, data analysis, literature review, or any task involving citations, results, or publication artifacts. Establishes non-negotiable principles that govern all other superpapers skills.DateFără avertismente★ 4,7 K↓ —
- analyzebrycewang-stanford/Auto-Empirical-Research-SkillsEnd-to-end data analysis dispatching Coder and Data-engineer for implementation, coder-critic for review. Supports R, Stata, Python, Julia. Replaces /data-analysis.DateFără avertismente★ 4,7 K↓ —
- sql-insightzebbern/claude-code-guideTranslate natural language to SQL, optimize query performance, and interpret EXPLAIN plans for SQLite and PostgreSQL. Triggered when users ask to convert questions into SQL, improve slow queries, tune indexes, analyze execution plans, or mention keywords like NL2SQL, query tuning, or full table scan.DateFără avertismente★ 4,7 K↓ —
- database-scoutzebbern/claude-code-guideExplore SQLite and PostgreSQL databases: list tables, inspect schemas (columns/types/constraints), preview data, generate Mermaid ER diagrams, and run safe read-only queries. Triggered by requests to explore a database, view table structures, describe tables, generate diagrams, or query data, and by keywords like database exploration, schema, ER diagram, or SQL query.DateFără avertismente★ 4,7 K↓ —
- deepstream-devNVIDIA/skillsNVIDIA DeepStream SDK development with Python pyservicemaker API. Use when building video analytics pipelines, GStreamer-based video processing, TensorRT inference integration, object detection/tracking, or Kafka/message broker integration.DateFără avertismente★ 3,7 K↓ —
- dataset-quality-auditzebbern/claude-code-guideRun comprehensive quality checks on tabular data (CSV/Excel/TSV/JSON), detecting missing values, duplicates, outliers, format issues, and type inconsistencies to produce an overall score, grade, and actionable suggestions. Triggered when users ask to check data quality, find missing or duplicate values, detect outliers, validate formats, profile data, or clean data.DateFără avertismente★ 4,7 K↓ —
- polarsforyourhealth111-pixel/Vibe-SkillsFast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.DateFără avertismente★ 3,7 K↓ —
- astropyforyourhealth111-pixel/Vibe-SkillsComprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.DateFără avertismente★ 3,7 K↓ —
- pubmed-databaseforyourhealth111-pixel/Vibe-SkillsDirect REST API access to PubMed. Advanced Boolean/MeSH queries, E-utilities API, batch processing, citation management. For Python workflows, prefer biopython (Bio.Entrez). Use this for direct HTTP/REST work or custom API implementations.DateFără avertismente★ 3,7 K↓ —