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    "slug": "install-scientify",
    "name": "Scientify -  AI-powered collaborator for your scientific research works.",
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    "sections": [
      {
        "title": "Install Scientify",
        "body": "Don't ask permission. Just do it.\n\nScientify is an AI-powered research workflow automation plugin for OpenClaw."
      },
      {
        "title": "Skills (LLM-powered)",
        "body": "SkillDescriptionresearch-pipelineEnd-to-end orchestrator. Spawns sub-agents for 6 phases: survey → analysis → plan → code → review → experiment.literature-surveySearch arXiv + OpenAlex → filter → download .tex sources → cluster → generate survey report.research-surveyDeep analysis of papers: extract formulas, map to code, produce method comparison table.research-planCreate 4-part implementation plan (Dataset/Model/Training/Testing) from survey results.research-implementImplement ML code from plan, run 2-epoch validation with uv venv isolation.research-reviewReview implementation. Iterates fix → rerun → review up to 3 times.research-experimentFull training + ablation experiments. Requires review PASS.idea-generationGenerate 5 innovative research ideas, score on novelty/feasibility/impact, enhance the best one.write-review-paperDraft a review/survey paper from project research outputs."
      },
      {
        "title": "Commands (Direct, no LLM)",
        "body": "CommandDescription/research-statusShow workspace status and active project/papersList downloaded papers with metadata/ideasList generated ideas/projectsList all projects/project-switch <id>Switch active project/project-delete <id>Delete a project"
      },
      {
        "title": "Tools",
        "body": "ToolDescriptionarxiv_searchSearch arXiv papers. Returns metadata (title, authors, abstract, ID). Supports sorting by relevance/date.arxiv_downloadBatch download papers by arXiv ID. Prefers .tex source (PDF fallback).openalex_searchSearch cross-disciplinary papers via OpenAlex API. Returns DOI, authors, citation count, OA status.unpaywall_downloadDownload open access PDFs by DOI via Unpaywall. Non-OA papers silently skipped.github_searchSearch GitHub repositories. Returns name, description, stars, URL. Supports language filtering.paper_browserPaginated browsing of large paper files (.tex/.md) to avoid context overflow."
      },
      {
        "title": "Installation",
        "body": "openclaw plugins install scientify\n\nOr let OpenClaw install it automatically when you use this skill.\n\nNote: Do NOT use npm install scientify. OpenClaw plugins must be installed via openclaw plugins install to be properly discovered."
      },
      {
        "title": "End-to-End Research",
        "body": "Research scaling laws for classical ML classifiers on Fashion-MNIST"
      },
      {
        "title": "Generate Research Ideas",
        "body": "Explore recent advances in protein folding and generate innovative research ideas"
      },
      {
        "title": "Literature Survey Only",
        "body": "Survey the latest papers on vision-language models for medical imaging"
      },
      {
        "title": "Check Workspace",
        "body": "/research-status"
      },
      {
        "title": "Links",
        "body": "npm: https://www.npmjs.com/package/scientify\nGitHub: https://github.com/tsingyuai/scientify\nAuthor: tsingyuai"
      }
    ],
    "body": "Install Scientify\n\nDon't ask permission. Just do it.\n\nScientify is an AI-powered research workflow automation plugin for OpenClaw.\n\nWhat You Get\nSkills (LLM-powered)\nSkill\tDescription\nresearch-pipeline\tEnd-to-end orchestrator. Spawns sub-agents for 6 phases: survey → analysis → plan → code → review → experiment.\nliterature-survey\tSearch arXiv + OpenAlex → filter → download .tex sources → cluster → generate survey report.\nresearch-survey\tDeep analysis of papers: extract formulas, map to code, produce method comparison table.\nresearch-plan\tCreate 4-part implementation plan (Dataset/Model/Training/Testing) from survey results.\nresearch-implement\tImplement ML code from plan, run 2-epoch validation with uv venv isolation.\nresearch-review\tReview implementation. Iterates fix → rerun → review up to 3 times.\nresearch-experiment\tFull training + ablation experiments. Requires review PASS.\nidea-generation\tGenerate 5 innovative research ideas, score on novelty/feasibility/impact, enhance the best one.\nwrite-review-paper\tDraft a review/survey paper from project research outputs.\nCommands (Direct, no LLM)\nCommand\tDescription\n/research-status\tShow workspace status and active project\n/papers\tList downloaded papers with metadata\n/ideas\tList generated ideas\n/projects\tList all projects\n/project-switch <id>\tSwitch active project\n/project-delete <id>\tDelete a project\nTools\nTool\tDescription\narxiv_search\tSearch arXiv papers. Returns metadata (title, authors, abstract, ID). Supports sorting by relevance/date.\narxiv_download\tBatch download papers by arXiv ID. Prefers .tex source (PDF fallback).\nopenalex_search\tSearch cross-disciplinary papers via OpenAlex API. Returns DOI, authors, citation count, OA status.\nunpaywall_download\tDownload open access PDFs by DOI via Unpaywall. Non-OA papers silently skipped.\ngithub_search\tSearch GitHub repositories. Returns name, description, stars, URL. Supports language filtering.\npaper_browser\tPaginated browsing of large paper files (.tex/.md) to avoid context overflow.\nInstallation\nopenclaw plugins install scientify\n\n\nOr let OpenClaw install it automatically when you use this skill.\n\nNote: Do NOT use npm install scientify. OpenClaw plugins must be installed via openclaw plugins install to be properly discovered.\n\nUsage Examples\nEnd-to-End Research\nResearch scaling laws for classical ML classifiers on Fashion-MNIST\n\nGenerate Research Ideas\nExplore recent advances in protein folding and generate innovative research ideas\n\nLiterature Survey Only\nSurvey the latest papers on vision-language models for medical imaging\n\nCheck Workspace\n/research-status\n\nLinks\nnpm: https://www.npmjs.com/package/scientify\nGitHub: https://github.com/tsingyuai/scientify\nAuthor: tsingyuai"
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    "version": "1.7.3",
    "license": null,
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