GitHub
reactome-database
Query Reactome REST API for pathway analysis, enrichment, gene-pathway mapping, disease pathways, molecular interactions, expression analysis, for systems biology studies.
☆ 3View skill
tools data analysis AI Skills
Discover tools data analysis skills, compare source repositories and read the instructions for each workflow.
Categories: tools data analysis
tools data analysis Clear filters
Browse skills
GitHub
ringpre-dev-feature-map
Gate 2: Feature relationship map - visualizes feature landscape, groupings, and interactions at business level before technical architecture.
☆ 3View skill
GitHub
sentry
Queries Sentry for issues, events, traces, and error analysis. Use when debugging production errors, searching issues, analyzing traces, or getting AI root cause analysis with Seer.
☆ 3View skill
GitHub
xlsx
Spreadsheet toolkit (.xlsx/.csv). Create/edit with formulas/formatting, analyze data, visualization, recalculate formulas, for spreadsheet processing and analysis.
☆ 3View skill
GitHub
project-diagrams
Create publication-quality architecture diagrams using Nano Banana Pro AI or Mermaid. Specialized in system architecture, C4 diagrams, data flow, sequence diagrams, and software design visualizations for projec...
☆ 3View skill
GitHub
market-research-reports
Generate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatting, extensive visual generation with project-diagram...
☆ 3View skill
GitHub
lumen-ai
Master AI-powered natural language data exploration with Lumen AI. Use this skill when building conversational data analysis interfaces, enabling natural language queries to databases, creating custom AI agents...
☆ 3View skill
GitHub
lumen-dashboards
Master declarative, no-code data dashboards with Lumen YAML specifications. Use this skill when building standard data exploration dashboards, connecting multiple data sources (files, databases, APIs), creating...
☆ 3View skill
GitHub
research
Technical research methodology using Context7, Exa, and Sequential Thinking for documentation, best practices, and complex investigations.
☆ 3View skill
GitHub
adviser
Critical analysis and quality assurance for design documents, implementation plans, and code verification. Use when reviewing designs, plans, or checking code quality.
☆ 3View skill
GitHub
subgroup-analysis
Conduct subgroup analyses to examine effect moderation. Use when: (1) Testing pre-specified moderators, (2) Exploring heterogeneity, (3) Identifying differential effects, (4) Meta-analysis synthesis.
☆ 3View skill
GitHub
meta-analysis
Conduct quantitative synthesis through meta-analysis. Use when: (1) Combining effect sizes across studies, (2) Systematic review synthesis, (3) Calculating summary effects, (4) Assessing heterogeneity.
☆ 3View skill
GitHub
sensitivity-analysis
Conduct sensitivity analyses to test robustness of findings. Use when: (1) Testing assumption violations, (2) Meta-analysis robustness, (3) Handling missing data, (4) Examining outliers.
☆ 3View skill
GitHub
hypothesis-test
Guide selection and interpretation of statistical hypothesis tests. Use when: (1) Choosing appropriate test for research data, (2) Checking assumptions before analysis, (3) Interpreting test results correctly,...
☆ 3View skill
GitHub
synthesis-matrix
Create evidence synthesis matrices for systematic reviews. Use when: (1) Organizing extracted data, (2) Comparing study characteristics, (3) Identifying patterns across studies, (4) Preparing synthesis for manu...
☆ 3View skill
GitHub
data-visualization
Create publication-quality data visualizations. Use when: (1) Presenting results, (2) Exploratory data analysis, (3) Manuscript preparation, (4) Grant proposals, (5) Presentations.
☆ 3View skill
GitHub
power-analysis
Calculate statistical power and required sample sizes for research studies. Use when: (1) Designing experiments to determine sample size, (2) Justifying sample size for grant proposals or protocols, (3) Evaluat...
☆ 3View skill
GitHub
effect-size
Calculate and interpret effect sizes for statistical analyses. Use when: (1) Reporting research results to show practical significance, (2) Meta-analysis to combine study results, (3) Grant writing to justify e...
☆ 3View skill
GitHub
results-interpretation
Interpret statistical results correctly and comprehensively. Use when: (1) Writing results sections, (2) Discussing findings, (3) Avoiding common misinterpretations, (4) Reporting effect sizes and confidence in...
☆ 3View skill
GitHub
ds-review
This skill should be used when running Phase 4 of the /ds workflow to review methodology, data quality, and statistical validity. Provides structured review checklists, confidence scoring, and issue identificat...
☆ 3View skill
GitHub
ds-brainstorm
This skill should be used when the user asks to "start a data science project", "brainstorm analysis", "plan a data analysis", or wants to clarify analysis requirements. REQUIRED Phase 1 of /ds workflow. Uses S...
☆ 3View skill
GitHub
arch-describe
Generate detailed architectural descriptions of IT systems from short prompts. Produces structured output with overview, components list, connections/integrations, and ASCII diagrams with annotated arrows. Use...
☆ 3View skill
GitHub
layercake
Expert guide for Layer Cake, a headless Svelte visualization framework managing scales, dimensions, and data flow while supporting SVG, Canvas, HTML, and WebGL rendering contexts for responsive data visualizati...
☆ 3View skill
GitHub
layerchart
Expert guide for LayerChart, a Svelte component library for building diverse data visualizations (Cartesian, radial, hierarchical, geo, graph) with unopinionated building blocks, motion primitives, and advanced...
☆ 3View skill
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.