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Generate academic research artifacts including hypotheses, experimental protocols, paper drafts, data visualizations, and peer review simulations from notes and documents.
npx claudepluginhub richard-kim-79/archora-skillsGenerates rigorous devil's advocate critiques from methodological, theoretical, and practical perspectives. Use when the user asks to challenge their own work, find weaknesses, stress-test assumptions, anticipate reviewer objections, or argue against their research claims. Run BEFORE writing a draft for stronger papers.
Writes a complete IMRaD-structured academic paper draft (Abstract, Introduction, Related Work, Methods, Results, Discussion, Conclusion, References) from the user's notes, documents, and wiki content. Use when the user asks to write a paper, create a manuscript, generate a draft, or produce academic writing. Do NOT use for short summaries — only for full paper-length output.
Generates complete, runnable visualization code for research figures. Produces matplotlib/seaborn Python scripts for quantitative data and Mermaid diagrams for conceptual relationships, workflows, and taxonomies. Use when the user asks for charts, graphs, visualizations, figures, or diagrams. Produces code only — does not render images directly.
Generates falsifiable, testable research hypotheses from notes, documents, and research content. Use when the user asks to brainstorm hypotheses, generate research questions, identify testable predictions, or discover patterns across their notes. Do NOT use for general Q&A — only when structured hypothesis output is needed.
Simulates a full academic journal peer review with EIC decision and 3 independent reviewers (Methodology Expert, Domain Specialist, Devil's Advocate). Scores 1–10, provides major/minor comments, and issues a final verdict: Accept, Minor Revision, Major Revision, or Reject. Use when the user asks for a peer review, journal-quality feedback, readiness assessment, or to simulate reviewer responses before submission.
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Semi-automated research assistant for academic research and software development, with skills for literature review, experiments, analysis, writing, and project knowledge management
Collection of academic skills based on effortlessacademic.com note taking ideas like atomic sentences.
PhD-level research capabilities: literature review, multi-source investigation, critical analysis, hypothesis-driven exploration, quantitative/qualitative methods, and lateral thinking
Research-team agents for Claude Code: supervisor, analysis-implementer, paper-writer, figure-descriptor, reviewer, literature-curator.
Multi-agent orchestrator for academic writing: 12 specialist agents and 30 writing principles for review, research, drafting, polishing, bibliography auditing, and literature surveys.
Oh My Paper research harness: memory system, Codex delegation, and pipeline commands for academic research projects.
Academic research agent skills for Claude Code and other Agent Skills-compatible tools.
Built on Archora — a knowledge archive & social network for researchers and educators. Run these same agents in your browser at archora2026.com ✨
npx skills add https://github.com/richard-kim-79/archora-skills
Or manually copy the skills/ directory into your project's .agents/skills/ folder.
| Skill | Description |
|---|---|
| hypothesis | Generate falsifiable research hypotheses from notes and documents |
| validation | Design experimental protocols to test each hypothesis |
| draft | Write an IMRaD-structured paper draft |
| figure | Generate matplotlib / Mermaid visualization code |
| stats | Detect statistical errors and logical fallacies |
| counterargument | Generate devil's advocate critiques |
| peer-review | Simulate journal peer review (EIC + 3 reviewers) |
| synthesis | Surface cross-cutting themes and insights |
| wiki-sync | Sync notes into a structured wiki knowledge base |
Once installed, these skills activate automatically when you ask Claude to perform research tasks:
"Generate hypotheses from my notes"
"Write a paper draft based on this research"
"Give me a peer review of this draft"
"What are the weaknesses in my argument?"
Skills are designed to chain together across a full research pipeline:
┌─────────────┐
│ Raw Notes │ (your Markdown files, PDFs, clippings)
└──────┬──────┘
│
▼
┌─────────────┐ ┌──────────────┐
│ wiki-sync │────▶│ synthesis │ Organize & surface cross-cutting themes
└─────────────┘ └──────────────┘
│
▼
┌─────────────┐
│ hypothesis │ Generate falsifiable research questions
└──────┬──────┘
│
▼
┌──────────────┐ ┌────────┐
│ validation │───▶│ figure │ Design experiments + visualize data
└──────────────┘ └────────┘
│
▼
┌───────┐ ┌───────┐
│ stats │ │ draft │ Validate claims + write IMRaD paper
└───────┘ └───┬───┘
│
▼
┌─────────────────────┐
│ counterargument │ Stress-test before submission
│ peer-review │
└─────────────────────┘
Quick start chain (copy-paste into Claude):
1. "sync my notes into a wiki" — organize notes into wiki
2. "generate hypotheses from my notes" — generate hypotheses
3. "design experiments for each hypothesis" — design experiments
4. "validate my stats" — validate any stats
5. "write the paper draft" — write the draft
6. "peer review this draft" — simulate review
7. "generate counterarguments" — stress-test before submission
Archora is a research platform for academics and educators. Create channels, build wiki knowledge bases, and run AI research agents collaboratively in the browser.
| Web App | Claude Code Skills | |
|---|---|---|
| Best for | Team workflows, shared channels | Local files, personal research |
| Setup | Sign up at archora2026.com | npx skills add |
| Agents | Runs on your wiki & posts | Runs on local Markdown files |
| Collaboration | Multi-user, real-time | Single user |
Both use the same agent logic — pick whichever fits your workflow.
MIT