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What is archora-skills?

richard-kim-79/archora-skills — explained in plain English

Analysis updated 2026-05-18

37Audience · researcherComplexity · 2/5LicenseSetup · easy

In one sentence

A set of Claude Code agent skills that guide researchers through hypothesis generation, experiment design, paper writing, and simulated peer review.

Mindmap

mindmap
  root((archora-skills))
    What it does
      Structured research pipeline
      Claude Code skills
    Pipeline steps
      Organize notes into wiki
      Form hypotheses
      Design experiments
      Write paper draft
      Simulate peer review
    Audience
      Researchers
      Academics
    Extras
      Archora web platform
      MIT licensed

Code map

Detail Auto

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filefunction / class

What do people build with it?

USE CASE 1

Turn raw research notes into a wiki and surface recurring themes across them.

USE CASE 2

Generate testable hypotheses and plan experiments from existing research notes.

USE CASE 3

Write an academic paper draft and stress-test it with simulated peer review.

What is it built with?

Claude CodeArchora

How does it compare?

richard-kim-79/archora-skillsadysec/clawbotberliwu/world-cup-2026-match-prediction-engine
Stars373737
LanguageRustShell
Setup difficultyeasymoderatemoderate
Complexity2/53/53/5
Audienceresearcherdeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 30min

Optionally connects to the Archora web platform for team workflows.

So what is it?

This is a set of agent skills, reusable AI-powered commands, designed to assist with academic research when working with Claude Code or other compatible tools. The idea is to give researchers an AI assistant that can handle structured steps of the research process: generating testable hypotheses from notes, designing experiments, writing paper drafts in standard academic format (introduction, methods, results, discussion), checking for statistical errors, simulating peer review from multiple reviewer perspectives, and more. The skills are meant to chain together into a full pipeline. You start with raw notes or documents, organize them into a wiki, surface themes across them, form hypotheses, plan experiments, validate the logic and statistics, write the paper, then stress-test it with devil's advocate critiques and simulated journal review before submitting. A researcher or academic who works with Claude Code locally would install this to turn their AI assistant into a structured research partner rather than a general-purpose chatbot. It also connects to a web platform called Archora for team-based workflows. The project is MIT-licensed and has no primary programming language since the skills are instruction-based rather than code-based.

Copy-paste prompts

Prompt 1
Use these skills to turn my research notes into a structured hypothesis and experiment plan.
Prompt 2
Help me draft a paper in standard academic format using this skill set.
Prompt 3
Simulate a peer review of my paper draft using multiple reviewer perspectives.

Frequently asked questions

What is archora-skills?

A set of Claude Code agent skills that guide researchers through hypothesis generation, experiment design, paper writing, and simulated peer review.

How hard is archora-skills to set up?

Setup difficulty is rated easy, with roughly 30min to a first successful run.

Who is archora-skills for?

Mainly researcher.

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