Topic · Data & Analytics
Best DataFrames skills, page 5
DataFrames skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 193 | A skill your agent uses when running and reporting the statistical analysis for a Journal of Operations Management (JOM) empirical manuscript — measurement validity for survey constructs… | franklee16/ | 223 | 1 repo | ~1.2k | Automated safety check: Pass | No licence | 19 days ago |
| 194 | 194.Flowio Parse Flow Cytometry Standard (FCS) files v2.0–3.1 and extract events/metadata for preprocessing workflows (e.g., when you need NumPy arrays, channel info, or CSV/DataFrame export from cytometry… | aipoch/ | 2k | — | ~1.8k | Automated safety check: Pass | MIT | 20 days ago |
| 195 | 195.Duckdb En DuckDB CLI specialist for SQL analysis, data processing and file conversion. | aAAaqwq/ | 105 | 1 repo | ~1.6k | Automated safety check: Pass | MIT | 10 days ago |
| 196 | Data pipeline contract enforcer. An agent skill from LeoYeAI/openclaw-master-skills. | LeoYeAI/ | 2.2k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | 2 mo ago |
| 197 | Data cleaning, transformation, and exploratory analysis with pandas | wentorai/ | 298 | 1 repo | ~2k | Automated safety check: Pass | MIT | 3 mo ago |
| 198 | Export PostHog events, persons, sessions, or the results of a HogQL query on demand and download the resulting files. | PostHog/ | 721 | — | ~2.4k | Automated safety check: Pass | MIT | today |
| 199 | An overview of the python package for running the GaMMA earthquake phase association algorithm. | benchflow-ai/ | 1.8k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | 2 mo ago |
| 200 | Upgrade Apache Spark applications between major versions (2.x→3.x, 3.x→4.x). | OpenHands/ | 157 | — | ~1.9k | Automated safety check: Pass | MIT | yesterday |
| 201 | 201.Optimize For GPU GPU-accelerate Python code using CuPy, Numba CUDA, Warp, cuDF, cuML, cuGraph, KvikIO, cuCIM, cuxfilter, cuVS, cuSpatial, and RAFT. | majiayu000/ | 666 | 1 repo | ~8.5k | Automated safety check: Pass | MIT | today |
| 202 | 202.RAG Construction Build RAG systems for construction knowledge bases. An agent skill from datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction. | datadrivenconstruction/ | 344 | 1 repo | ~5.7k | Automated safety check: Pass | MIT | 1 mo ago |
| 203 | Use this Dask sub-skill for configuration files and environment variables, the dask command line interface, local diagnostics/profiling/progress, callbacks/cache, scheduler/deployment documentation… | VectorSpaceLab/ | 328 | — | ~694 | Automated safety check: Pass | BSD-3-Clause | 1 mo ago |
| 204 | A skill your agent uses for RDKit data-file discovery, pharmacophore feature-definition files, PandasTools molecule DataFrames, lightweight database helpers, and public CLI-style integration… | VectorSpaceLab/ | 328 | — | ~946 | Automated safety check: Pass | BSD-3-Clause | 1 mo ago |
| 205 | Use this Dask sub-skill for Dask DataFrame creation, CSV/Parquet/JSON/SQL IO, partitions and divisions, groupby/aggregation, joins/merge, shuffle, repartitioning, categorical/string/pyarrow… | VectorSpaceLab/ | 328 | — | ~1k | Automated safety check: Pass | BSD-3-Clause | 1 mo ago |
| 206 | 206.Io Formats A skill your agent uses when reading, writing, filtering, converting, or troubleshooting GeoPandas vector files, GeoJSON, WKB/WKT, Arrow, Parquet, Feather, and PostGIS data. | VectorSpaceLab/ | 328 | — | ~1k | Automated safety check: Pass | BSD-3-Clause | 1 mo ago |
| 207 | Common pandas and matplotlib patterns for data analysis and visualization | langchain-ai/ | 424 | — | ~117 | Automated safety check: Pass | MIT | today |
| 208 | Apply Benford's Law to detect anomalies in numerical datasets by analyzing first-digit frequency distributions. | asgard-ai-platform/ | 241 | — | ~1.1k | Automated safety check: Pass | MIT | 4 mo ago |
| 209 | Fast in-memory DataFrame with lazy evaluation, parallel execution, Arrow backend. | jaechang-hits/ | 370 | — | ~6.4k | Automated safety check: Pass | MIT | 8 days ago |
| 210 | 210.Vaex Dataframes Out-of-core DataFrame for billion-row data via lazy evaluation and memory-mapped files. | jaechang-hits/ | 370 | — | ~6.2k | Automated safety check: Pass | MIT | 8 days ago |
| 211 | Query and download NCI Imaging Data Commons (IDC) cancer radiology and pathology datasets via the idc-index Python client. | majiayu000/ | 666 | 1 repo | ~4.7k | Automated safety check: Pass | MIT | today |
| 212 | 212.Polars Bio High-performance genomic interval operations and bioinformatics file I/O on Polars DataFrames. | majiayu000/ | 666 | 1 repo | ~3.8k | Automated safety check: Notes | Apache-2.0 | today |
| 213 | 213.Quant Analyst Expert in quantitative finance, algorithmic trading, and financial data analysis using Python (Pandas/NumPy), statistical modeling, and machine learning. | majiayu000/ | 666 | 1 repo | ~964 | Automated safety check: Pass | MIT | today |
| 214 | 214.Polar Testing Guide for testing Polar payment integrations using the sandbox environment. | chmonitor/ | 298 | — | ~2.8k | Automated safety check: Warn | GPL-3.0 | 2 days ago |
| 215 | 215.Setup Polar Interactive onboarding wizard to set up Polar payment integration from scratch. | chmonitor/ | 298 | — | ~1.1k | Automated safety check: Warn | GPL-3.0 | 2 days ago |
| 216 | 216.Data Workshop Data Workshop internals — Dataset and Cell, derived versions and the use gate, Parquet identity, the sandboxed runner, agent engines and tools, reviewed preparation, synthetic examples, shared… | overmind-core/ | 544 | — | ~7.1k | Automated safety check: Warn | AGPL-3.0 | yesterday |
| 217 | Parallel/distributed computing for larger-than-RAM data. An agent skill from jaechang-hits/SciAgent-Skills. | jaechang-hits/ | 370 | — | ~4.1k | Automated safety check: Pass | BSD-3-Clause | 8 days ago |
| 218 | Provides large-scale single-cell omics data manipulation using Genomic Data Structure (GDS) files. | bioMate-AI/ | 804 | — | ~968 | Automated safety check: Pass | Unknown | 3 mo ago |
| 219 | 219.Minerals Data Query and analyze structured CSV datasets on critical minerals production, trade, and supply chains | lamm-mit/ | 244 | — | ~730 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 220 | Read and write OCI Object Storage natively from an AIDP notebook using the oci:// URI scheme. | Kilo-Org/ | 189 | — | ~1k | Automated safety check: Notes | Unknown | 9 days ago |
| 221 | Best practices for Snowpark Python (DataFrames, UDFs, UDTFs, stored procedures) and dbt with the dbt-snowflake adapter. | Mindrally/ | 267 | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 222 | Processing, transforming, or moving datasets that may exceed RAM on a single low-compute box — covers memory discipline (streaming, generators, dtype shrinkage), I/O access patterns (sequential vs… | pproenca/ | 214 | — | ~3.3k | Automated safety check: Pass | MIT | 1 mo ago |
| 223 | 223.Duckdb Expert DuckDB expert for embedded OLAP analytics, Parquet/CSV querying, and high-performance analytical SQL on local data. | theneoai/ | 183 | — | ~4.2k | Automated safety check: Pass | MIT | 4 mo ago |
| 224 | 224.Pandas Expert Pandas expert: DataFrame operations, merge/join, groupby, time series, performance optimization. | theneoai/ | 183 | — | ~4.9k | Automated safety check: Pass | MIT | 4 mo ago |
| 225 | 225.Spark Expert Apache Spark expert: DataFrame API, Spark SQL, Spark Structured Streaming, performance tuning, AQE, and adaptive execution. | theneoai/ | 183 | — | ~3.6k | Automated safety check: Pass | MIT | 4 mo ago |
| 226 | 226.CSV Transformer Expert data format transformation covering CSV parsing edge cases, encoding detection, JSON/XML/Parquet/Avro conversion, data type inference, schema validation, large file handling with streaming… | FerroxLabs/ | 608 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 227 | Advanced pandas techniques for data wrangling including performance optimization, method chaining patterns, MultiIndex operations, memory management, and idiomatic pandas code. | FerroxLabs/ | 608 | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 228 | 228.Spark Engineer Apache Spark expertise covering RDD vs DataFrame vs Dataset APIs, partitioning strategies, shuffle optimization, broadcast joins, caching, Spark SQL, structured streaming, UDFs, cluster sizing… | FerroxLabs/ | 608 | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | yesterday |