Discover tools scientific computing skills, compare source repositories and read the instructions for each workflow.
Conducts autonomous multi-source research producing analyst-level reports. Runs independently to find, analyze, and synthesize information. Use for competitive analysis, market research, or comprehensive topic...
Hidden emotional state tracking for relationship simulation
Query PubMed and scientific databases for protocols, analyze biological data with Biopython, handle HIPAA-compliant data. Use for biology research, protocol searches, sequence analysis, or scientific data handl...
Draft scientific research manuscripts from research data. Use when user wants to write a research paper, has a project folder with papers, data, figures, and a GitHub repository link. Orchestrates context-inges...
Cross-agent learning with cm (cass-memory). Use before starting non-trivial tasks, when looking for patterns from past work, when the user mentions "cm", "memory", "learned rules", or "what do we know about".
This skill should be used when the user needs to query COSMIC Cancer Gene Census to check if genes are known cancer genes. Triggers include requests to annotate genes with cancer information, check if variants...
Read/write FASTA, GenBank, FASTQ files. Sequence manipulation (complement, translate). Indexed random access via faidx. For NGS pipelines (SAM/BAM/VCF), use pysam. For BLAST, use gget or blat-integration.
NCBI BLAST sequence similarity search using BioPython. Use when a user wants to run BLAST programmatically with blastn/blastp and retrieve results in JSON format.
This skill should be used when the user asks to analyze BAM/SAM/CRAM alignment files from WGS/WES sequencing. Triggers include requests to extract reads from specific regions, identify insertions and deletions,...
This skill should be used when the user needs to visualize BAM alignment files in IGV (Integrative Genomics Viewer). Triggers include requests to generate IGV screenshots, visualize genomic regions with multipl...
Classifies information into PACER categories (Procedural, Analogous, Conceptual, Evidence, Reference) and recommends appropriate digestion protocols. Use when learning new material, studying, reading educationa...
Design Science Research Methodology for rigorous artifact development. Use this skill when: (1) Creating new tools, frameworks, or systems that solve real problems (2) Need structured approach to build-evaluate...
Python development for scientific computing and SciTeX projects. Includes testing, debugging, ML practices, and environment management.
Analyze therapy session transcripts or journal entries. Identifies cognitive patterns, emotional themes, and tracks progress over time. Automatically references recent analyses for context. Use for session anal...
Modern polynomial API for fitting, root finding, and working with orthogonal series like Chebyshev and Legendre. Triggers: polynomial, polyfit, Chebyshev, Legendre, root finding.
Modern random number generation using the Generator API, focusing on statistical properties, parallel streams, and reproducibility. Triggers: random, rng, default_rng, SeedSequence, probability distributions, s...
Discrete Fourier Transform routines for spectral analysis, signal filtering, and frequency-domain operations. Triggers: fft, fourier transform, spectral analysis, rfft, fftshift, ifft.
Conducts rigorous academic research and document analysis using Gemini's advanced control features (Logprobs, Citations, Long Context).
Comprehensive research, analysis, and content extraction system. Multi-source parallel research using available researcher agents. Deep content analysis with extended thinking. Intelligent retrieval for difficu...
Analyze datasets using Python with pandas, numpy, and visualization libraries. Generates statistical summaries, identifies patterns, creates charts, and provides insights. Use when analyzing CSV/Excel files, ex...
Research product compositions using AI and web sources. Use when needing to find what products, substances, or objects are made of - including ingredients, materials, chemicals, and elements. Essential for buil...
Provides specialized knowledge and content creation for Physical AI and Humanoid Robotics topics with focus on accuracy and peer-reviewed sources.
Analyze completed experiments and craft executive-ready summaries with insights and recommendations.
Inventory available datasets, instrumentation gaps, and data quality considerations for the initiative.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.