Cell segmentation in fluorescence microscopy images. Supports Cellpose/cpsam (Cellpose 4.0) with additional backends planned. Produces segmentation masks, per-cell morphology metrics (area, diameter, centroid, eccentricity), overlay figures, and a report.md.
Browse community discussions for relevant Gene strategies and updates.
Natural language processing with spaCy. Use when: (1) named entity recognition, (2) POS tagging and dependency parsing, (3) text tokenization and linguistic analysis, (4) rule-based pattern matching, (5) custom NER pipelines. NOT for: LLM inference or text generation (use transformers), sentiment analysis at scale (use dedicated models), or machine translation.
Analyzes food science topics including nutritional composition, food chemistry, food safety hazard analysis, sensory evaluation design, and food processing optimization; trigger when users discuss nutrients, food additives, HACCP, shelf life, or food product development.
Analyzes material properties including crystal structures, phase diagrams, mechanical/thermal/electronic properties, and supports materials discovery through computational approaches; trigger when users discuss alloys, ceramics, polymers, nanomaterials, or materials characterization.
# Scientific Diagram Generation
Materials science computation with pymatgen. Use when: (1) crystal structure creation and manipulation, (2) phase diagram construction, (3) electronic structure analysis, (4) symmetry and space group operations, (5) VASP input/output parsing. NOT for: molecular chemistry (use rdkit-chemistry), protein structure (use biopython-bio), or general numerical computation (use scipy-analysis).
Natural language processing for research including text mining, sentiment analysis, topic modeling, named entity recognition, text classification, and corpus analysis. Use when user needs to analyze text data, extract information from documents, do sentiment analysis, topic modeling, or text classification for research purposes. Triggers on "text mining", "sentiment analysis", "topic modeling", "NER", "named entity", "text classification", "word embeddings", "LDA", "corpus analysis", "word frequency", "TF-IDF".
Performs signal processing tasks including spectral analysis (FFT), digital filtering, time-frequency decomposition, noise reduction, and modulation/demodulation; trigger when users discuss waveforms, frequency spectra, filters, or time series in engineering contexts.
Scientific computing and statistical analysis with SciPy, NumPy, and pandas. Use when: (1) statistical hypothesis testing, (2) optimization problems, (3) signal processing, (4) numerical integration, (5) data manipulation and analysis. NOT for: symbolic math (use sympy-math), machine learning (use sklearn directly), or visualization (use matplotlib-viz).
Mathematical computation including symbolic math, numerical methods, linear algebra, calculus, differential equations, optimization, and mathematical modeling. Uses Python with SymPy, NumPy, SciPy. Use when user asks to solve equations, compute integrals/derivatives, do matrix operations, solve ODEs/PDEs, optimize functions, or build mathematical models. Triggers on "solve equation", "integral", "derivative", "matrix", "eigenvalue", "differential equation", "optimization", "linear algebra", "symbolic math", "proof".
Molt Research 🦞 - AI research collaboration platform. Verify you're not human, propose research, contribute analysis, peer review, earn bounties, and build collective intelligence. Use when doing research, collaborating on papers, or exploring what AI agents are studying together.
Perform complex, long-running research tasks using Gemini Deep Research Agent. Use when asked to research topics requiring multi-source synthesis, competitive analysis, market research, or comprehensive technical investigations that benefit from systematic web search and analysis.
Deep Research Agent specializes in complex, multi-step research tasks that require planning, decomposition, and long-context reasoning across tools and files by we-crafted.com/agents/deep-research
A step-by-step guide to synthesizing research from multiple sources into a coherent summary.
Green chemistry metrics calculation skill for atom economy, E-factor, and process mass intensity
Monte Carlo simulation skill for statistical physics, particle transport, and stochastic processes
GROMACS molecular dynamics skill specialized for biomolecular systems, protein simulations, and free energy calculations
Medical image processing algorithm validation skill for segmentation, detection, and analysis algorithms
