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By rpatrik96
Streamline ML conference paper writing: draft abstracts, introductions, related work, experiments, discussions; generate posters, slides, animated GIFs; verify references; synthesize reviews and rebuttals.
npx claudepluginhub rpatrik96/research-agora --plugin academicIdentify relevant benchmarks and generate experiment plans for ML papers. Use when asked to "find benchmarks", "what datasets should I use", "experiment plan", "baseline comparison", "standard evaluation", "what to compare against", or "evaluation protocol". Searches arXiv for benchmark papers and extracts evaluation protocols.
Interactive decision tree for finding the right Research Agora skill. Use when asked to "which skill should I use", "what skill do I need", "find me a skill for", "I want to do X what skill helps", "help me pick a skill", "what can the Agora do for", "I need help with X", "recommend a skill", or "what skills exist for". Maps a natural-language task description to the most relevant skills with confidence scores and example invocations.
Sync ML experiment results to paper drafts. Use when asked to "update results", "sync experiments", "pull latest metrics", "update tables from code", "experiment to paper", "refresh results", or "sync paper with repo". Extracts metrics from code/logs and updates paper sections.
Scans the current directory and recommends the single fastest Research Agora "wow moment". Use when asked for "quick start", "what should I run first", "fastest result", "show me something useful", "I want to try this", "give me a demo", "what can I do right now", "get me started fast", "what's the best first thing to try", or "impress me". Auto-detects project contents and returns THE single best skill to run right now, with the exact command using the user's actual filenames.
Write related work sections and discover relevant literature for ML papers. Use when asked to "write related work", "find related work", "literature review", "survey the field", "find papers on [topic]", "build bibliography", "survey prior work", "position the paper", or "what papers should I cite". Supports both guided mode (provide papers to include) and autonomous mode (multi-query arXiv searches with paper approval workflow).
No model invocation
Executes directly as bash, bypassing the AI model
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Specialized research analysis agents for critical thinking, evidence verification, synthesis, and parallel paper analysis
Production-grade academic research pipeline for Claude Code: research → write → review → revise → finalize. 4 skills, 35+ modes, 38-agent ensemble, v3.7.3 + v3.8 L3 claim-faithfulness gate, v3.9.0 cross-index triangulation, v3.9.2 phase boundary fence (#133).
Multi-agent orchestrator for academic writing: 12 specialist agents and 30 writing principles for review, research, drafting, polishing, bibliography auditing, and literature surveys.
Research-team agents for Claude Code: supervisor, analysis-implementer, paper-writer, figure-descriptor, reviewer, literature-curator.
Research integrity plugin for Claude Code — paper auditing, citation verification, experiment analysis, and methodology-first skills for academic workflows.
Citation, prose, figure, and rigor auditing for AI-assisted research drafts.
Microsoft Office document creation skills (PowerPoint, Word, Excel)
Document and LaTeX formatting skills for publication-quality output
Development automation skills for Python projects
Diagnostic editorial intelligence for writing across contexts — papers, blogs, books, grants. Analyzes, diagnoses, and translates rather than generating from scratch.
Specialized research analysis agents for critical thinking, evidence verification, synthesis, and parallel paper analysis
A community-driven skills marketplace for AI-assisted research. Browse, install, and share modular AI workflows for ML research.
Browse Skills | Platform Design | Contributing
Reading time: PI: 5 min | Researcher: 15 min | Student: 10 min
npm install -g @anthropic-ai/claude-code # if you don't have Claude Code yet
In a Claude Code session, run:
/plugin marketplace add rpatrik96/research-agora
/plugin install academic@research-agora
/plugin install development@research-agora
/plugin install formatting@research-agora
/plugin install office@research-agora
/plugin install editorial@research-agora
/plugin install research-agents@research-agora
New here? Run
/onboardin Claude Code, or take the 2-minute quiz in your browser — no installation needed.
Run citation verification on any project with a .bib file:
cd /path/to/your/project && claude
/paper-references
Every entry marked mismatch or not found is a potential hallucinated or corrupted reference. Cost: ~$0.10–0.30.
No .bib file? No CLI? Take the onboarding quiz — it runs in your browser and recommends where to start.
61 public AI workflows for the full paper lifecycle. Skills encode your group's standards in a shared CLAUDE.md — every student and postdoc runs the same verified checks.
CLAUDE.md, (3) Set verification standards, (4) Review monthly.Start with: Quickstart → Verification guide → CLAUDE.md template
| I want to... | Run this |
|---|---|
| Verify citations | /paper-references |
| Critical review of my draft | /paper-review path/to/paper.pdf |
| Find related work | /literature-synthesizer |
| Debug LaTeX | /latex-debugger |
| Clean up code | /code-simplify |
Not sure which skill? Run /choose-skill — describe your task and get matched recommendations.
Start with: Quickstart → Examples by domain → CLAUDE.md template
AI tools amplify expertise — they don't replace it. Verify everything. Build understanding before optimizing speed.
Week 1: Run /paper-references on your bibliography. Check 3 entries manually.
Week 2: Set up CLAUDE.md for your project with /onboard.
Week 3: Try /paper-review on a section draft. Do you agree with the critique?
Week 4: Connect GitHub MCP, try /pr-automation.
Rule of thumb: If you couldn't do the task without AI, the AI shouldn't do it for you yet.
Start with: Concepts → Examples → Verification guide
| Doc | What it covers |
|---|---|
| Quickstart | Install → first task → 5-minute win |
| Concepts | Evolution stack, key terms, delegate vs. protect |
| Verification | TDR recipes, hierarchy, limits |
| Privacy & GDPR | Compliance checklist, paid plans, medical data |
| Examples | Domain-specific prompts by use case |
| CLAUDE.md Template | Commented template — customizing it IS the tutorial |
Paper writing, research, and dissemination skills: