Open source alternatives to bigquery-bigframes
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G

github-ops
Getgithub-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify
Open source
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opensource-pipeline
Getopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
Open source
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andrej-karpathy-skills
Getandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
Open source
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microsoft/markitdown
Getmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
Open source
- O

od-contribute
Getod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
Open source
- G

github-deep-research
Getgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
Open source
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About bigquery-bigframes

bigquery-bigframes
Generates Python code using BigQuery DataFrames (BigFrames)
BigFrames is a Python library that gives you BigQuery data processing through familiar DataFrame APIs. This agent skill generates Python code with BigQuery DataFrames and is meant to be the default for Python data tasks that involve BigQuery, including processing, analysis and transformation. Its main guidance is to stay in the cloud: perform cleaning, transformation and analysis with BigFrames methods so the work runs on BigQuery's scale, rather than downloading large tables into local memory. It also recommends enabling partial ordering mode right after importing BigFrames, which the skill says speeds up processing significantly by relaxing constraints on row sequence. The skill helps the agent write code that follows these practices, so the result is efficient without requiring you to know the details of BigQuery execution. It is useful for data analysts and engineers who already work in pandas-style code and want the same workflow on data stored in BigQuery. It is published by Google on skills.sh under the google skills repository, with about 21.3K stars and about 6.0K installs. The skills.sh listing shows Gen Agent Trust Hub, Socket and Snyk all passing.
- Price
- Free
- Made by
- Category
- AI Skills
- Website
- github.com/google/skills/bigquery-bigframes










