ReddRadar
Topic: zero-hallucination
42 skills in this topic.
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feishu-drive
Feishu cloud storage file management. Activate when user mentions cloud space, folders, drive.
beita6969/ScienceClaw 571
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feishu-perm
Feishu permission management for documents and files. Activate when user mentions sharing, permissions, collaborators.
beita6969/ScienceClaw 571
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feishu-wiki
Feishu knowledge base navigation. Activate when user mentions knowledge base, wiki, or wiki links.
beita6969/ScienceClaw 571
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lobster
beita6969/ScienceClaw 571
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prose
OpenProse VM skill pack. Activate on any `prose` command, .prose files, or OpenProse mentions; orchestrates multi-agent workflows.
beita6969/ScienceClaw 571
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arxiv-search
Search arXiv for preprints in physics, math, CS, quantitative biology, quantitative finance, statistics, electrical engineering, economics. Use when: (1) finding preprints by topic, (2) searching by author, (3) browsing arXiv categories, (4) getting paper metadata/abstracts. NOT for: published journal articles (use crossref-search), biomedical (use pubmed-search).
beita6969/ScienceClaw 571
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bear-notes
Create, search, and manage Bear notes via grizzly CLI.
beita6969/ScienceClaw 571
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biorxiv-search
Search bioRxiv biology preprints with natural language queries. Semantic search powered by Valyu.
beita6969/ScienceClaw 571
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acp-router
Route plain-language requests for Pi, Claude Code, Codex, OpenCode, Gemini CLI, or ACP harness work into either OpenClaw ACP runtime sessions or direct acpx-driven sessions ("telephone game" flow). For coding-agent thread requests, read this skill first, then use only `sessions_spawn` for thread creation.
beita6969/ScienceClaw 571
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brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
beita6969/ScienceClaw 571
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citation-management
Comprehensive citation management for academic research. Search Google Scholar and PubMed for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify citation information, convert DOIs to BibTeX, or ensure reference accuracy in scientific writing.
beita6969/ScienceClaw 571
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computational-pathology-agent
COPYRIGHT NOTICE
beita6969/ScienceClaw 571
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data-extractor
Extract numerical data from scientific figure images using Claude vision + OpenCV calibration. Supports 26+ plot types including bar charts, scatter plots, forest plots, Kaplan-Meier curves, box plots, and more.
beita6969/ScienceClaw 571
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data-stats-analysis
Perform statistical tests, hypothesis testing, correlation analysis, and multiple testing corrections using scipy and statsmodels. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).
beita6969/ScienceClaw 571
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energy-systems
Analyzes energy systems including renewable energy resource assessment, power grid modeling, battery storage optimization, energy efficiency evaluation, and techno-economic analysis of energy technologies; trigger when users discuss solar, wind, grid integration, energy storage, or power system design.
beita6969/ScienceClaw 571
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epidemiology
Performs epidemiological analyses including disease modeling (SIR/SEIR), outbreak investigation, risk factor identification, incidence/prevalence estimation, and causal inference from observational data; trigger when users discuss disease spread, public health data, or population-level health patterns.
beita6969/ScienceClaw 571
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exploratory-data-analysis
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scientific data formats.
beita6969/ScienceClaw 571
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fluidsim
Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.
beita6969/ScienceClaw 571