ReddRadar
Topic: scientific-research
83 skills in this topic.
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computational-pathology-agent
COPYRIGHT NOTICE
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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biostatistics
Performs biostatistical analyses specialized for clinical and biomedical research including survival analysis, Kaplan-Meier estimation, Cox proportional hazards regression, longitudinal data modeling, and diagnostic test evaluation; trigger when users discuss clinical outcomes, survival curves, or biomedical study statistics.
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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bear-notes
Create, search, and manage Bear notes via grizzly CLI.
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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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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test-driven-development
Use when implementing any feature or bugfix, before writing implementation code
beita6969/ScienceClaw 571
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scienceclaw-discovery
Identify research gaps, synthesize cross-disciplinary insights, and generate novel hypotheses. Use when: user asks about unexplored areas, cross-field connections, or new research directions. NOT for: routine literature review or data analysis.
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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openai-whisper
Local speech-to-text with the Whisper CLI (no API key).
beita6969/ScienceClaw 571
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lit-synthesizer
Search PubMed and bioRxiv, summarise papers with LLM, build citation graphs, and generate literature review sections.
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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statsmodels
Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference. Best for econometrics, time series, rigorous inference with coefficient tables. For guided statistical test selection with APA reporting use statistical-analysis.
beita6969/ScienceClaw 571
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science-communication
beita6969/ScienceClaw 571
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post-processing
Extract, analyze, and visualize simulation output data. Use for field extraction, time series analysis, line profiles, statistical summaries, derived quantity computation, result comparison to references, and automated report generation from simulation results.
beita6969/ScienceClaw 571
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nonlinear-solvers
Select and configure nonlinear solvers for f(x)=0 or min F(x). Use for Newton methods, quasi-Newton (BFGS, L-BFGS), Broyden, Anderson acceleration, diagnosing convergence issues, choosing line search vs trust region, and analyzing Jacobian quality.
beita6969/ScienceClaw 571
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latex-writing
Write and format LaTeX documents for academic journals. Use when: user asks to write LaTeX code, format papers for specific journals (Nature/Science/IEEE/ACM), create equations, tables, or BibTeX entries. NOT for: non-LaTeX writing (use paper-writing), data analysis, or literature search.
beita6969/ScienceClaw 571
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scientific-runtime
Use when serving scientific CLI tasks through ScholarAIO, especially when the agent should prefer scholaraio toolref, handle partial coverage safely, and avoid turning user work into documentation maintenance.
ZimoLiao/scholaraio 332
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export
Export papers from the knowledge base to standard citation formats (BibTeX, RIS, Markdown reference list) or export any Markdown content as a Word DOCX file. Supports exporting all papers, specific papers, or filtered by year/journal. Use when the user needs citation files, wants to import into Zotero/Endnote/Mendeley, needs a reference list for writing, or wants to share a document as Word.
ZimoLiao/scholaraio 332
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bioinformatics
Use when working on bioinformatics toolchains such as alignment, variant calling, phylogenetics, or protein-structure analysis, especially when the agent must route across BLAST, minimap2, samtools, bcftools, MAFFT, IQ-TREE, or ESMFold.
ZimoLiao/scholaraio 332
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writing-polish
Polish academic writing — remove AI-generated patterns, improve clarity, and match a target style. Supports both English and Chinese. Use when the user wants to refine prose, remove AI artifacts, or adapt writing to a specific journal style.
ZimoLiao/scholaraio 332
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audit
Audit paper data quality in the knowledge base. Checks for missing fields, filename issues, DOI duplicates, title mismatches, and more. Supports LLM-based deep diagnosis for title mismatches and automated repair. Use when the user wants to check data quality, find problems, or fix metadata issues.
ZimoLiao/scholaraio 332
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graph
Query citation graphs — view a paper's references, find which papers cite it, and analyze shared references between multiple papers. Use when the user asks about citation relationships, reference overlap, or bibliographic connections.
ZimoLiao/scholaraio 332