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By rpatrik96
Run a multi-agent research analysis pipeline on ML papers: parse LaTeX/PDF/arXiv into structured data, then fan out to specialized agents for evidence verification, proof checking, statistical validity, notation consistency, figure design, and rebuttal generation, with parallel execution for 2-3x speedup.
npx claudepluginhub rpatrik96/research-agora --plugin research-agentsUse this agent to prepare ML code/data/models for public release with comprehensive checklists. Activates when asked to "package artifacts", "prepare release", "reproducibility checklist", "code release", or "prepare camera ready".
Use this agent to evaluate papers, presentations, posters, or communications for target audience alignment. Impersonates different reader personas (reviewers, industry engineers, students, experts) to identify jargon, unclear explanations, and narrative gaps.
Analyze convergence rates, complexity bounds, and approximation guarantees. The theoretical analogue of statistical-validator. Compares to known optimal rates and checks dimensional consistency. Trigger: "analyze bounds", "check convergence rate", "verify complexity", "bounds analysis".
Deep verify ALL paper claims with systematic evidence hierarchy. NOW SUPPORTS PARALLEL MODE via parallel-audit orchestrator for 2-3x speedup. Activates when asked to "audit claims", "verify claims", "check paper claims", "claim verification", "evidence check", "verify evidence", or "quick evidence scan". Includes Quick Mode for rapid brainstorming checks.
Use this agent to map blog posts or essays into book structure. Activates when asked to "audit my content", "blog to book", "cluster my posts", "content audit", or "find themes across posts". Performs thematic clustering, gap analysis, and generates book conversion strategies from dispersed content.
Uses power tools
Uses Bash, Write, or Edit tools
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Academic paper writing skills for ML conferences (NeurIPS, ICML, ICLR, AAAI)
Research integrity plugin for Claude Code — paper auditing, citation verification, experiment analysis, and methodology-first skills for academic workflows.
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).
Semi-automated research assistant for academic research and software development, with skills for literature review, experiments, analysis, writing, and project knowledge management
Oh My Paper research harness: memory system, Codex delegation, and pipeline commands for academic research projects.
Multi-agent orchestrator for academic writing: 12 specialist agents and 30 writing principles for review, research, drafting, polishing, bibliography auditing, and literature surveys.
Microsoft Office document creation skills (PowerPoint, Word, Excel)
Academic paper writing skills for ML conferences (NeurIPS, ICML, ICLR, AAAI)
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.
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: