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lingzhi227 avatar

Data Analysis

lingzhi227/agent-research-skills
1.6k installs265 stars
Summary

This generates Python statistical analysis code and runs it through a structured 4-round review process to catch mathematical errors, data handling issues, and missing uncertainty measures. It's built for academic research where you need proper test selection, effect sizes, confidence intervals, and p-values that reviewers won't tear apart. The workflow enforces good practices like named sections in your code, appropriate test selection based on data type, and never reporting a point estimate without uncertainty. Comes with helper scripts for statistical summaries and p-value formatting. The multi-round review is the real value here, it systematically checks things you'd otherwise catch only after running the analysis and realizing your t-test assumptions were violated.

Install to Claude Code

npx -y skills add lingzhi227/agent-research-skills --skill data-analysis --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.md

Select a file.

Featured
CodeRabbit
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AI writes the code. CodeRabbit catches the slop.
Try For Free →
inference shell
inference shell
create and run specialised agents in minutes
build now →
MCP-ready Email SendingMCP-ready Email Sending
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Make your agent a DeFi expert
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Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
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Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
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Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
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Get API Key Now →
belt - the only tool your agent needs
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belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
Categories
Git & Pull RequestsCode Review & QualityAI & Agent BuildingData Science & MLProductivity & Planning
First SeenJun 3, 2026
View on GitHub

More from lingzhi227/agent-research-skills

All 31 skills →
  • Deep Research1.5k
  • Idea Generation1.5k
  • Paper Revision1.5k
  • Paper Writing Section1.5k
  • Experiment Design1.4k
  • Novelty Assessment1.4k
  • Github Research1.4k
  • Research Planning1.4k
  • Survey Generation1.4k
  • Code Debugging1.4k
  • Algorithm Design1.4k
  • Rebuttal Writing1.4k
  • Related Work Writing1.3k
  • Table Generation1.3k
  • Self Review1.3k
  • Slide Generation1.3k
  • Atomic Decomposition1.3k
  • Paper Compilation1.3k
  • Paper Assembly1.3k
  • Paper To Code1.3k
  • Experiment Code1.3k
  • Symbolic Equation1.3k
  • Backward Traceability1.3k
  • Excalidraw Skill1.2k

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