Futuresearch Futuresearch Python
futuresearch-futuresearch-python is a Claude Code plugin for the Idea phase that equips your agent with Python research-agent utilities for screening, ranking, deduping, and transforming dataframe research data.
by futuresearch · github.com/futuresearch/futuresearch-python
Give Claude Code a Python toolkit of research agents for screening, ranking, deduping, and transforming tabular research data before you commit to a product direction.
Add it to Claude Code
Install the plugin in Claude Code. One command, paste-ready.
/plugin install futuresearch-futuresearch-python@futuresearch/futuresearch-pythonBuilt to be called by your agent
Skillselion is itself an MCP server. Your agent can pull this entry and a paste-ready install config straight from the API - no copy-paste.
Retrieve this entry with skillselion.get_details("plugin:futuresearch/futuresearch-python") and the paste-ready config with skillselion.get_install_config("plugin:futuresearch/futuresearch-python").
What it does
futuresearch-futuresearch-python is a Claude Code plugin that packages Python utilities and agent-oriented workflows for serious desk research. Solo builders drowning in CSVs, scraped lists, or survey exports can use it to screen, rank, dedupe, merge, and transform dataframes with AI-assisted steps instead of fragile spreadsheet macros. It fits the early journey when you are still proving what market slice matters, and it remains useful when you integrate research pipelines into backend or agent tooling. The repo positions the offering as giving your AI its own researchers—useful for competitive scans, lead lists, literature-style triage, and any job where every row needs a consistent judgment. Expect a Python-centric setup rather than a no-code UI; you register the plugin in Claude Code and invoke the bundled capabilities from your agent sessions. With one plugin in the bundle and a modest community footprint, it is a specialized research-acceleration layer, not a general codegen assistant.
Highlights
- Python plugin bundle aimed at AI-powered tabular research (dataframes, screening, ranking, deduping, merging).
- Everyrow-style row processing for batch agent judgments over large datasets.
- Transform and utility helpers for cleaning research exports before analysis.
- Designed to act as a team of research agents—or attach those researchers to your coding agent.
- Single-plugin bundle from futuresearch/futuresearch-python (pluginCount: 1).
Why builders use it
Solo builders collect huge messy tables during market research but lack repeatable agent workflows to screen, rank, and dedupe rows without days in spreadsheets.
After you add the plugin, Claude can run consistent AI-assisted dataframe research steps so evidence tables stay clean and decision-ready before you build.
At a glance
- Type - Plugin in AI Agents.
- Adoption - 0 installs, 27 stars, 0 votes.
FAQ
Who is futuresearch-futuresearch-python for?
It is for solo and indie builders using Claude Code who run market or product research on dataframes and want agent helpers for screening, ranking, deduping, and merging rows.
When should I use futuresearch-futuresearch-python?
Use it during Idea and Validate when you are synthesizing competitors, surveys, or scraped lists, and again in Build if you embed those research steps in a Python pipeline.
How do I add futuresearch-futuresearch-python to my agent?
Install the plugin from the futuresearch/futuresearch-python repository into Claude Code, ensure your Python environment matches the project expectations, then enable the plugin in your session before research tasks.
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