superRA
Disciplined AI Research Assistant for economists: plan-implement-integrate workflow with implementer–reviewer pair, data-analysis discipline, and drift-test-verified integration.
Plugin bundle · by Julie Zhiyu Fu
About
superRA is a plugin bundle for AI coding tools published by Julie Zhiyu Fu. Marketplaces we read that list it: 1 (Community GitHub marketplaces). We first saw it on 2026-10-19 and have recorded no change since. As of our marketplace pass on 2026-10-23.
What it asks for
- Installs as a plugin bundle
- Hooks: 11
What it declares, asks for and runs, in full
Only install plugins from developers you trust. We list what marketplaces publish and do not test plugins.
Works with
- Claude Code
From the marketplaces that list it and the MCP transport it declares, as each client documents them. We do not test plugins.
Connect
Commands and configs built only from what its marketplaces declare. We do not run them for you and do not test plugins.
As a Claude Code plugin
Built from what Community GitHub marketplaces declares.
/plugin marketplace add fuzhiyu/superra
/plugin install superRA@superRAWhere it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Community marketplace fuzhiyu/superra (Open the source on GitHub) | Listed | 0.5.0 | Forks (GitHub): 2 Stars (GitHub): 11 |
Not marked |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
Listed in one community marketplace
| Marketplace | Repository | Stars (GitHub) |
|---|---|---|
| superRA | fuzhiyu/superra | 11 |
What the bundle contains
As published on Community GitHub marketplaces.
Skills: 22
academic-writingagent-orchestrationcommunicateecon-data-analysishandoff-docimplement-taskmistral-pdf-to-markdownonboardingrefactor-and-integratereproducibilityresult-protectionreview-task
Show the remaining 10
semantic-mergeslide-designsuperimplementsuperintegratesuperplantask-treetheory-modelingusing-superraworktree-data-synczotero-paper-reader
Hooks: 3
PostToolUsePreToolUseUserPromptSubmit
What changed
- Became a product we track
- Community GitHub marketplaces: appeared
Similar plugins
Products whose own names, descriptions, tools and skills are closest in meaning to this one, on every marketplace we read. Closeness is ranked within this list only.
-
Research orchestrator (hybrid router + fallback). Deterministic SIGNALS classification routes to 6 specialists (pulse/litreview/grants/dossier/patent/syllabus) at >=2 signals…
-
Autonomous research workflow agent for AI and scientific research. Guides the full research lifecycle — brainstorming, literature review, experiment design, analysis, and writing.
-
Generate evidence-tracked research reports with reusable source and claim records, original-source verification, and evidence-family tracking. Coordinate provider-specific Skills…
-
Autonomous skill improvement through parallel research agents. Inspired by Karpathy's autoresearch methodology, it spawns 5 parallel agents (domain expert, quality auditor…
-
Three AI models, one synthesis — multi-model research workflow for scientific domains
-
Research — source log, summarize, deep-dive, export, with deep-research/technical/osint/georeaction/stack/ecosystem/competitor/purchasing/general-research-workspace/obsidian-vault…
-
Social Science Research gives you the tools and workflows to assist with your research. Ideate on topics, perform literature reviews, analyze data, and have agents peer review…
-
Drop-in agentic loop skills (autoresearch, literature & writing, data, optimization, red-team, power analysis). Skills install namespaced as agent-loops:<name>.
-
End-to-end research orchestrator from hypothesis to publication.
-
Manage parallel research tracks and synthesize multi-track findings.
Similar plugins by marketplace
The same question asked of one marketplace at a time: is there an analog of this plugin there?
Has a listing on Claude Code: claude-plugins-community (5)
-
Autonomous skill improvement through parallel research agents. Inspired by Karpathy's autoresearch methodology, it spawns 5 parallel agents (domain expert, quality auditor…
-
About Comprehensive research co-pilot for Claude Code and claude.ai — 13 skills covering literature review, methodology, ethics review, data analysis, qualitative coding…
-
Research sprint orchestrator for Claude Code. Ask a question, get a decision-ready brief — every finding is tracked as a typed claim, adversarially challenged, confidence-graded…
-
This Plugin acts as a data analyst agent. The goal is to minimize costs as much as possible for early stage startups, so they can make informed decisions at a lower cost.
-
Multi-agent deep research pipelines for Claude Code. Runs internet research, repository analysis, schema-driven structured research, and media research (via NotebookLM) using…
Has a listing on Claude Code: claude-plugins-official (5)
-
You.com agent skills for web search, research with citations, and content extraction. Guided integrations for Vercel AI SDK, Claude Agent SDK, OpenAI Agents SDK, crewAI…
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
Analyze business data and build custom Pigment models, metrics, and boards through natural language.
Has a listing on Claude: knowledge-work-plugins (5)
-
Write SQL, explore datasets, and generate insights faster. Build visualizations and dashboards, and turn raw data into clear stories for stakeholders.
-
Financial analysis skills powered by Daloopa's institutional-grade data
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
Connect to preclinical research tools and databases (literature search, genomics analysis, target prioritization) to accelerate early-stage life sciences R&D
Has a listing on Codex: openai-curated (openai/plugins) (5)
-
Answer product and business questions with data
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Notion workflows for implementation planning, research synthesis, meeting preparation, and knowledge capture.
-
Public equity investing workflows for listed-company research, earnings analysis, valuation, model updates, long/short pitches, catalysts, thesis tracking, ETF/index and…
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
Has a listing on Community GitHub marketplaces (5)
-
Research orchestrator (hybrid router + fallback). Deterministic SIGNALS classification routes to 6 specialists (pulse/litreview/grants/dossier/patent/syllabus) at >=2 signals…
-
Autonomous research workflow agent for AI and scientific research. Guides the full research lifecycle — brainstorming, literature review, experiment design, analysis, and writing.
-
Generate evidence-tracked research reports with reusable source and claim records, original-source verification, and evidence-family tracking. Coordinate provider-specific Skills…
-
Three AI models, one synthesis — multi-model research workflow for scientific domains
-
Research — source log, summarize, deep-dive, export, with deep-research/technical/osint/georeaction/stack/ecosystem/competitor/purchasing/general-research-workspace/obsidian-vault…
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
-
A runtime-portable 5-agent quality gate that adjudicates text artifacts before they ship. Five role-conditioned LLM deliberators run a 2-round async protocol with cross-read…
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
Goal-driven task orchestration with independent verification. Interviews the user to define a clear goal, then loops between a Builder subagent (does the work) and an Inspector…
Has a listing on Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
Has a listing on Cursor: cursor/plugins (5)
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Track AI visibility, sentiment, and citations.
-
Enrich people and companies, run AI research agents.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Generate presentations, documents, and webpages.
Has a listing on Docker MCP Catalog (5)
-
Real-time web search, reasoning, and research through Perplexity's API
-
Production-ready RAG service to search and retrieve data from your documents.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
-
Exa AI web search, deep research, and content extraction. Provides MCP tools and research skills for comprehensive web search, people discovery, company research, academic papers…
Has a listing on Official MCP Registry (5)
-
AI predictions, model comparison, research briefs and web search from an autonomous AI
-
AI predictions, model comparison, research and web search from an autonomous AI running 24/7.
-
Zhiyong AI Technology Decision Radar
Read-only AI tool/model discovery with fit signals, unknowns, next tests, and public discussions.
-
AI research reports: market analysis, competitor intel, blog posts. USDC payment.
-
AI agent for business strategy and business design — run strategy missions and 15 analyses.
Has a listing on npm registry (MCP servers) (5)
-
Evidence-backed crypto due diligence with sources, freshness, and a runtime receipt on every call.
-
google-surf-mcp io.github.HarimxChoi/google-surf-mcp
Web, academic and code search with graph RAG, data lineage, ontology and cross-project schema links.
-
Catch AI-fabricated citations (real DOI + fake title). Retraction, open-access, 10,000+ CSL styles.
-
Compile documents into a cited knowledge wiki. Retrieve evidence, query, and review via local MCP.
-
superlocalmemory io.github.varun369/superlocalmemory
Local-first AI memory with knowledge graphs and hybrid search. 17+ AI tools via MCP. Free.
Found by meaning, not by shared code or a shared repository: similar plugins stay separate products, and this is not a review or a recommendation.
Want this mark on your plugin in our catalog?
Prove you maintain it with a file in its repository, a file on your domain or a DNS record, and you can show this mark on the card, with live banners for your site and README. How verification works
You also get alerts when a marketplace lists it, drops it, changes its verified mark or what it asks for, and its remote endpoint goes on monitoring as a web service.
Data comes from public marketplace files in GitHub repositories of their authors. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.