Generate regional analysis document templates for paleoseismic research. Use when starting analysis of a new cave or event, creating standardized documentation. Triggers on "new regional doc", "create analysis", "template for", "document cave".
Creates text-based visualizations and reports showing the relationship between spelling errors and semantic distance. Use when you need to visualize experimental results.
Proteomics analysis toolkit for label-free quantitative proteomics. Invokes R scripts for normalization, visualization (volcano, heatmap, PCA, LOPIT), pathway analysis (KEGG, ConsensusPathDB), and protein list cross-referencing (MISEV2018, SASP, Matrisome). USE WHEN user says 'analyze proteomics', 'volcano plot', 'normalize protein data', 'pathway enrichment', 'check EV markers', 'SASP analysis', 'matrisome', OR mentions q-value, fold-change, or protein quantification.
A high-performance skill for processing genomic data (VCF, FASTA, BED) using polars-bio. Features streaming VCF processing, interval joins, FASTA analysis, and variant annotation.
Patterns for analyzing, improving, and documenting Jupyter notebooks for scientific data analysis. Includes data filtering, visualization optimization, and resource analysis techniques.
Single-cell analysis patterns with AnnData and Scanpy. Use when working with single-cell RNA-seq data, creating or manipulating AnnData objects, performing quality control, normalization, dimensionality reduction, clustering, or visualization of single-cell datasets.
Explore Hive tables and datasets in the Wellcome Collection data warehouse. Use this skill to query tables, understand schemas, or analyze data distributions. Invoke with /data-explore.
Analyze completed experiments and craft executive-ready summaries with insights and recommendations.
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 analysis, journal reflection analysis, or pattern identification.
Compact single-cell analysis patterns with AnnData and Scanpy. Essential patterns for QC, preprocessing, clustering, and visualization.
Agentic medical analyst that explores extracted documents iteratively like a real physician - forming hypotheses, seeking evidence, cross-referencing, and building comprehensive analysis through multiple exploration cycles.
Conducts rigorous academic research and document analysis using Gemini's advanced control features (Logprobs, Citations, Long Context).
Systematic research workflow orchestrating multi-source research operations for comprehensive domain investigation. Sequential workflow from web search through GitHub exploration and documentation analysis to research synthesis. Use when researching new domains, gathering patterns, investigating technologies, or conducting comprehensive multi-source research for skill development.
HAIOS Investigation Cycle for structured research and discovery. Use when starting or resuming an investigation. Guides HYPOTHESIZE->EXPLORE->CONCLUDE workflow with phase-specific tooling.
Generate high-quality synthetic datasets using statistical samplers and Claude's native LLM capabilities. Use when users ask to create synthetic data, generate datasets, create fake/mock data, generate test data, training data, or any data generation task. Supports CSV, JSON, JSONL, Parquet output. Adapted from NVIDIA NeMo DataDesigner (Apache 2.0).
Elite multi-agent research orchestration utilizing ref MCP, exa MCP, brave-search MCP, and context7 with parallel execution of deep-research-agent, search-specialist, trend-researcher, and ux-researcher. Use for comprehensive research requiring maximum depth, breadth, and quality. Automatically invoked during /sc:research commands for world-class research capabilities surpassing any traditional deep research approach.
Classifies information into PACER categories (Procedural, Analogous, Conceptual, Evidence, Reference) and recommends appropriate digestion protocols. Use when learning new material, studying, reading educational content, processing information for retention, or when user asks about how to study or remember something.
Mine AI research insights and generate professional LaTeX reports for creta.mx (Center for Research on Economics and Technology Applications). Triggers on "CRETA", "research insights", "LaTeX report", or economics/technology documentation requests.
Comprehensive computational mathematics toolkit for Claude Code agents. Provides tools for five core domains from MIT's Mathematics for Computer Science curriculum - Proofs (propositions, predicates, induction, verification), Structures (number theory, graphs, RSA, partial orders), Counting (asymptotics, combinatorics, generating functions), Probability (distributions, Bayes, random walks, bounds), and Recurrences (divide-and-conquer, Master theorem, Akra-Bazzi). Use when solving algorithm analysis, proving correctness, computing probabilities, analyzing complexity, or working with discrete mathematical structures. Implemented in Python with TypeScript tool definitions for Claude Code integration.
Researches topics and trends for blog content with parallel multi-agent execution. USE WHEN orchestrator invokes research phase OR user says 'research topic', 'find trends', 'gather information for blog'.
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".
Routes research and investigation tasks. Triggers on research, investigate, deep-dive, explore, understand, learn, study, compare, thorough, comprehensive.
