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Find leads on Reddit on auto pilot

Topic: research

171 skills in this topic.

last30days-nux
mvanhorn/last30days-skill 20,770
last30days-v3-spec Internal architecture spec for the v3 last30days runtime pipeline. Not user-invocable.
mvanhorn/last30days-skill 20,770
last30days Multi-query social search with intelligent planning. Agent plans queries when possible, falls back to Gemini/OpenAI when not. Research any topic across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, and the web.
mvanhorn/last30days-skill 20,770
last30days
Jesseovo/last30days-skill-cn 162
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
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
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
statistical-testing Advanced statistical testing including hypothesis testing, Bayesian analysis, survival analysis, time series, multivariate methods, and meta-analysis. Use when user needs specific statistical tests beyond basic EDA, power analysis, Bayesian inference, survival curves, time series forecasting, or meta-analysis. Triggers on "hypothesis test", "Bayesian", "survival analysis", "time series", "meta-analysis", "bootstrap", "permutation test", "mixed model", "structural equation".
beita6969/ScienceClaw 571
lobster
beita6969/ScienceClaw 571
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
pdb-structure Query the RCSB PDB API for protein 3D structures, experimental metadata, and structure files. Use when the user needs crystal or cryo-EM structure data, PDB entries, resolution info, or structure file downloads. NOT for protein sequences/annotations (use UniProt), gene data (use NCBI), or pathway info (use KEGG).
beita6969/ScienceClaw 571
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
computational-pathology-agent COPYRIGHT NOTICE
beita6969/ScienceClaw 571
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
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
scientific-visualization Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates matplotlib/seaborn/plotly with publication styles. For quick exploration use seaborn or plotly directly.
beita6969/ScienceClaw 571
feishu-drive Feishu cloud storage file management. Activate when user mentions cloud space, folders, drive.
beita6969/ScienceClaw 571
feishu-wiki Feishu knowledge base navigation. Activate when user mentions knowledge base, wiki, or wiki links.
beita6969/ScienceClaw 571
prose OpenProse VM skill pack. Activate on any `prose` command, .prose files, or OpenProse mentions; orchestrates multi-agent workflows.
beita6969/ScienceClaw 571
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
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
feishu-perm Feishu permission management for documents and files. Activate when user mentions sharing, permissions, collaborators.
beita6969/ScienceClaw 571
openai-whisper Local speech-to-text with the Whisper CLI (no API key).
beita6969/ScienceClaw 571
himalaya CLI to manage emails via IMAP/SMTP. Use `himalaya` to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).
beita6969/ScienceClaw 571