agent-factory
AgentExtends the core team with specialists when the goal benefits from domain expertise beyond what the generic agents provide. Runs…
This is a reference for the researcher agent. Read the goal and current task, identify which categories apply, then pull sources from those sections only. Ignore irrelevant categories — don't load noise.
Claude Code
> /plugin marketplace add vibhasdutta/loop-engineer> /plugin install loop-engineer@loop-engineer
Cursor
Cursor also loads subagents from .claude/agents, so copy this file there to use it in Cursor.
This is a reference for the researcher agent. Read the goal and current task, identify which categories apply, then pull sources from those sections only. Ignore irrelevant categories — don't load noise.
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1. Read the goal and task 2. Identify 2–5 relevant categories below 3. Use the listed sources as your primary research targets for that domain 4. For any category not listed here, use general web search to find the best source
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**General:** Google Search, Brave Search, DuckDuckGo **AI-powered:** Perplexity, Exa Search, Tavily, Phind
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**Repositories:** GitHub, GitLab, SourceForge **Code Search:** GitHub Code Search, Sourcegraph, grep.app **Discovery:** Awesome Lists (github.com/sindresorhus/awesome), LibHunt, AlternativeTo
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**Programming:** MDN Web Docs, DevDocs.io, ReadTheDocs **Cloud:** AWS Docs, Google Cloud Docs, Azure Docs, Cloudflare Docs **Frameworks:** The framework's own official docs site (React, Next.js, Vue, Django, etc.) **Languages:** The language's official docs (Python, Rust, Go, Node.js, etc.)
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**JavaScript:** npm, pnpm registry **Python:** PyPI, Conda **Rust:** crates.io **Go:** pkg.go.dev **Java:** Maven Central **PHP:** Packagist **.NET:** NuGet **Ruby:** RubyGems **Swift:** Swift Package Index
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**General:** Google Scholar, Semantic Scholar, OpenAlex **CS / AI / ML:** arXiv, Papers With Code, ACM Digital Library, IEEE Xplore **Science:** Nature, ScienceDirect, Springer **Medical:** PubMed, BioRxiv, MedRxiv **Economics / Social:** SSRN, RePec
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**Models & Weights:** Hugging Face, Ollama Library, OpenRouter, Replicate **Frameworks:** LangChain, LlamaIndex, CrewAI, AutoGen, DSPy, Haystack **Datasets:** Hugging Face Datasets, Kaggle, UCI ML Repository **Benchmarks:** Papers With Code, LMSYS Chatbot Arena, HELM
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**Discovery:** GitHub (search "mcp-server" or "awesome-mcp"), Smithery, MCP.so **Skills / Plugins:** Platform skill directories, agentskills.io **Integrations:** Official platform docs (Claude, Cursor, Gemini CLI, Antigravity, etc.)
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**Discovery:** RapidAPI, APIs.guru, Public APIs List (github.com/public-apis) **Testing & Docs:** Postman API Network, Swagger Hub **GraphQL:** GraphQL Hub
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**Q&A:** Stack Overflow, Stack Exchange **News / Discussion:** Hacker News, Reddit, Lobsters **Project-specific:** GitHub Discussions, GitHub Issues
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**Blogs:** Dev.to, FreeCodeCamp, DigitalOcean Community, LogRocket Blog, CSS-Tricks **Video:** YouTube (Fireship, Traversy Media, freeCodeCamp) **Courses:** Coursera, Udemy, Khan Academy
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**Vulnerabilities:** NIST NVD, MITRE CVE, Exploit-DB **Frameworks:** OWASP, MITRE ATT&CK **Threat Intel:** VirusTotal, AlienVault OTX, AbuseIPDB
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**Patterns:** High Scalability, ByteByteGo, Martin Fowler, InfoQ **Cloud Architecture:** AWS Architecture Center, Azure Architecture Center, Google Cloud Architecture
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**Company Data:** Crunchbase, LinkedIn, CB Insights **Startups:** Y Combinator Directory, Product Hunt, AngelList (Wellfound)
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**SEO:** Ahrefs Blog, Semrush, Moz, Backlinko **Content:** HubSpot Blog, Content Marketing Institute
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**B2B Data:** Apollo, ZoomInfo, Hunter.io, RocketReach **Directories:** Google Maps, LinkedIn, Yelp **B2B Marketplaces:** IndiaMART, Alibaba, TradeIndia
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**Job Boards:** LinkedIn Jobs, Indeed, Glassdoor, Wellfound **Freelance:** Upwork, Fiverr, Toptal
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**UI Inspiration:** Dribbble, Mobbin, Awwwards, Behance, Godly **Icons:** Heroicons, Lucide, Font Awesome, Icons8 **Fonts:** Google Fonts, Fontshare
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**Stock Photos:** Unsplash, Pexels, Pixabay **Illustrations:** unDraw, Storyset **Icons:** Flaticon, Icons8
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**Platforms:** YouTube, Vimeo **Dev Channels:** Fireship, Traversy Media, freeCodeCamp YouTube
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**Free:** Project Gutenberg, Internet Archive, Open Library **Technical:** O'Reilly Learning, Google Books
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**Tech:** TechCrunch, Hacker News, Ars Technica, The Verge **General:** Reuters, AP News, BBC, CNBC
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**Datasets:** data.gov, data.europa.eu **Legal / Corporate:** SEC EDGAR, Companies House (UK), gov.uk **Patents:** USPTO, WIPO, Google Patents
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**Markets:** Yahoo Finance, TradingView, Google Finance **Data APIs:** Alpha Vantage, Polygon.io, FRED **Crypto:** CoinMarketCap, CoinGecko
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**Law:** Cornell Legal Information Institute (LII), Justia, FindLaw **Patents:** WIPO, USPTO, Google Patents, Espacenet
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**Research:** PubMed, WHO, NIH, CDC **Drugs:** DrugBank, DailyMed
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**Astronomy:** NASA, ESA **Biology:** NCBI, UniProt **Chemistry:** PubChem **Physics:** CERN, arXiv
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**Maps:** Google Maps, OpenStreetMap, Bing Maps **Travel & Places:** Wikivoyage, Google Maps
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**General:** Amazon, eBay **B2B / Wholesale:** Alibaba, AliExpress, IndiaMART **Regional:** Flipkart (India), Walmart
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**Professional:** LinkedIn **Discussion:** Reddit, X (Twitter), Hacker News **Communities:** Discord, Facebook Groups, Threads
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**General:** Wikipedia, Britannica, Wikidata **Programming:** ArchWiki, MDN **Domain-specific:** Relevant wiki for the field
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**Technology Stack:** BuiltWith, Wappalyzer **Archive / History:** Wayback Machine (web.archive.org) **Security:** SS
Loop engineering skill for AI — scaffold a 8-agent team that discovers, implements, verifies, and iterates until your goal is met.
Extends the core team with specialists when the goal benefits from domain expertise beyond what the generic agents provide. Runs…
Catches problems the verifier wouldn't — things that work but aren't done the right way. Uses researcher-defined quality…
Completes exactly one task and moves the loop forward. Derives execution method from the goal and researcher findings. Output…
- Google Search - Bing Search - Brave Search - DuckDuckGo - Kagi - Mojeek - Yahoo Search - Yandex - SearXNG - Startpage
- GitHub - GitLab - Bitbucket - SourceForge - Codeberg
- MDN - DevDocs - ReadTheDocs - Dash Docs - Zeal Docs
Read-only leaf worker for one bounded ARIS fan-out shard. Never delegates, writes files, or renders verdicts.
Use this agent when you want a comprehensive code review of changes in the current branch compared to main. This includes…