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Science Agent Recommend - Find the Right AI Tool for Research

通过决策树先询问用户的研究领域或任务,再从内置分类表(生物信息与组学、药物与分子、论文与科研工具、临床健康、教育、评测基准、安全)中匹配 2-3 个候选项目,说明匹配理由与星标数并指向 Skill Hub;另附可选的公开项目列表查询方式。推荐清单为静态整理,不含所推荐项目的安装脚本。

johnnychen1113
johnnychen1113
热度 49.97
最近更新 2026-05-11 17:41:45
分类:搜索依赖:第三方 API应用场景:推荐 / 研究

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add science-agent-recommend
Metadata
name
science-agent-recommend
description
Get personalized AI agent recommendations for your research domain. Describe your field, task, or workflow → receive curated suggestions from 131+ projects across 10 categories and 32 skill hubs. Trigger words: "recommend a science agent", "best AI for research", "what agent for bioinformatics", "suggest tools for my lab", "AI agent for drug discovery", "help me find a research tool".

Science Agent Recommend: Find the Right AI Tool for Your Research

Describe your research domain or task. Get personalized recommendations from 131+ curated AI science agents.

Decision Tree

Guide the user through these questions to narrow down recommendations:

Step 1: What's your research domain?

Domain Go to
Bioinformatics / Genomics / Omics → Biomedicine & Omics
Drug Discovery / Chemistry / Molecular → Drug & Molecular
General research / Literature / Writing → Research & Paper Tools
Clinical / Medical / Health → Clinical & Health
Education / Teaching → Education
Evaluating / Benchmarking agents → Benchmarks
Security / Auditing → Security

Step 2: Domain-Specific Recommendations

Biomedicine & Omics

Need Recommended Stars Install
General bioinformatics assistant BioClaw 318 OpenClaw-based
Single-cell / multi-omics analysis OmicsClaw 114 Python
Spatial transcriptomics SpatialAgent 158 Genentech
CRISPR experiment design CRISPR-GPT 156 Python
Protein structure + bio research STELLA 122 Princeton
Nucleome / genome-scale BioMaster 91 Python
Biomedical multi-tool (67 tools) BioMedAgent 58 Nature BME paper

Drug Discovery & Molecular

Need Recommended Stars Install
Drug-target interaction / pharmacology DrugClaw (QSong) 118 57 skills, LangGraph
Cheminformatics + folding + docking BloClaw 1 All-in-one workspace
Pharma pipeline end-to-end AIAgents4Pharma 76 Python
Molecular dynamics MDCrow 234 OpenMM-based
Molecular visualization PyMolClaw 1 13 PyMOL scripts
Chemistry AI ChemClaw 32 Python
TCM network pharmacology TCM-Agent 10 PubChem + TTD

Research & Paper Tools

Need Recommended Stars Install
Autonomous end-to-end research AutoResearchClaw 10608 Python
Evolutionary scientific discovery EvoScientist 2918 Python
Microsoft R&D automation RD-Agent 12372 Python
Paper writing (Abstract→Conclusion) Research Paper Writing Skills 1109 Skill
AI writing humanization Humanizer 12880 Skill
Research writing prompts Awesome AI Research Writing 16316 Skill
Citation management CitationClaw 299 Python

Clinical & Health

Need Recommended Stars Install
Personal health copilot HealthClaw 293 Streamlit + Feishu
Medical AI assistant MedgeClaw 953 Python
Lab workflow automation LabClaw 935 Python

Education

Need Recommended Stars Install
Math learning (middle/high school) MathClaw 64 Python, multi-channel
AI classroom OpenMAIC 14136 Tsinghua

Benchmarks & Evaluation

Need Recommended Stars Install
General agent evaluation Claw-Eval 339 300 tasks, 2159 rubrics
Agent safety (prompt injection) ClawSafety Benchmark 2 120 test cases
Bioinformatics agent evaluation BioAgent Bench 16 arXiv paper
ML agent benchmark HeurekaBench — EPFL

Security

Need Recommended Stars Install
Scan skills for vulnerabilities ClawSafety Scanner — Rust CLI
Agent security monitoring ClawKeeper — Security

Step 3: Skill Hubs

If the user needs installable skills rather than full agents:

Hub Skills Focus
ClawHub 6,300+ Official OpenClaw registry
K-Dense Scientific Skills 240+ Bioinformatics, clinical, ML
Orchestra Research Skills — AI research training
Nobel Medicine Minds 52 Cognitive frameworks of Nobel laureates

Browse all 32 skill hubs at claw4science.org/skill-hubs.

How To Respond

  1. Ask domain if not clear: "What's your research area?"
  2. Match to table: Find 2-3 best fits from the domain section
  3. Explain fit: One sentence on why each is relevant
  4. Show stars + link: Include Claw4Science listing URL
  5. Suggest skills: If they need specific skills, point to skill hubs
  6. Close with directory: "Browse all 131+ projects at claw4science.org"

API Access

# Get all projects with metadata
curl -s "https://claw4science.org/api/projects"

# Response includes: projects[], skills[], skill_hubs[]
# Each project has: title, description, repo, group, tags, static_stars

Links