equity-scorer
Compute HEIM diversity and equity metrics from VCF or ancestry data. Generates heterozygosity, FST, PCA plots, and a composite HEIM Equity Score with markdown reports.
Compute HEIM diversity and equity metrics from VCF or ancestry data. Generates heterozygosity, FST, PCA plots, and a composite HEIM Equity Score with markdown reports.
Meta-agent that routes bioinformatics requests to specialised sub-skills. Handles file type detection, analysis planning, report generation, and reproducibility export.
Sequence QC, alignment, and BAM processing. Wraps FastQC, BWA/Bowtie2, SAMtools for automated read-to-BAM pipelines.
Install and extend data-table-filters — a React data table system with faceted filters (checkbox, input, slider, timerange), sorting, infinite scroll, virtualization, and BYOS state management. Delivered as 11 shadcn registry blocks installable via `npx shadcn@latest add`. Use when: (1) installing data-table-filters from the shadcn registry, (2) adding extension blocks (command palette, AI filters, cell renderers, sheet panel, store adapters, schema system, Drizzle helpers, query layer), (3) configuring store adapters (nuqs/zustand/memory), (4) generating table schemas from a data model, (5) wiring up server-side filtering with Drizzle ORM, (6) connecting the React Query fetch layer, (7) auto-inferring schemas from raw JSON data with DataTableAuto / inferSchemaFromJSON, (8) adding AI-powered natural language filtering, (9) exposing tables as MCP endpoints for AI agents, (10) troubleshooting integration issues. Triggers on mentions of "data-table-filters", "data-table-filters.com", filterable data tables with
Port ML models into mflux/MLX with correctness-first validation, then refactor toward mflux style.
Create diagrams and visualizations using Mermaid.js v11 syntax. Use when generating flowcharts, sequence diagrams, class diagrams, state diagrams, ER diagrams, Gantt charts, user journeys, timelines, architecture diagrams, or any of 24+ diagram types. Supports JavaScript API integration, CLI rendering to SVG/PNG/PDF, theming, configuration, and accessibility features. Essential for documentation, technical diagrams, project planning, system architecture, and visual communication.
Test at extremes (1000x bigger/smaller, instant/year-long) to expose fundamental truths hidden at normal scales
Autonomous iteration execution guide for PRP Ralph loops. Use when .claude/prp-ralph.state.md exists, when continuing Ralph iterations, or when executing plans autonomously until all validations pass. Provides iteration behavior, completion protocol, validation requirements, and progress logging.
Diagnose gradient flow issues in training, especially for compiled models (torch.compile/make_fx). Systematically isolates which loss components (energy, force, virial) contribute gradients to which parameters, and identifies where the gradient chain breaks.
Shifts Layer 3 model selection to cost-optimized alternatives when economy mode is active.
Per-agent model selection with 4-layer hierarchy and fallback chains
Guides adaptation of vLLM-Ascend to upstream vLLM main branch changes. Supports two workflows: (1) Proactive upgrade: analyze vLLM code diff, generate prioritized change report, adapt vllm-ascend code. (2) CI failure diagnosis: when schedule_test_vllm_main CI is red, automatically extract errors from logs, trace root causes to upstream commits, generate diagnostic report, and apply fixes. The skill produces code changes, a report file, and a structured summary. It does NOT perform git/PR operations. After the skill completes in standalone mode, create a branch, commit, and submit a PR using the structured summary as PR body. Use this skill whenever: - The user wants to upgrade/adapt vllm-ascend to a newer vLLM commit - The user shares a GitHub Actions URL or run ID from main2main tests - The user mentions CI failures related to vLLM main branch updates or "main2main" test failures - The user wants to compare vLLM changes and assess impact on vllm-ascend - The user asks to analyze, debug, or fix failures cau
Execute this skill empowers AI assistant to perform regression analysis and modeling using the regression-analysis-tool plugin. it analyzes datasets, generates appropriate regression models (linear, polynomial, etc.), validates the models, and provides performa... Use when analyzing code or data. Trigger with phrases like 'analyze', 'review', or 'examine'.
Build this skill allows AI assistant to evaluate machine learning models using a comprehensive suite of metrics. it should be used when the user requests model performance analysis, validation, or testing. AI assistant can use this skill to assess model accuracy, p... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
Create advanced Excel pivot tables with calculated fields and slicers. Use when building data summaries or creating interactive dashboards. Trigger with phrases like 'excel pivot', 'create pivot table', 'data summary'.
Execute create, select, and transform features to improve machine learning model performance. Handles feature scaling, encoding, and importance analysis. Use when asked to "engineer features" or "select features". Trigger with relevant phrases based on skill purpose.
Analyze correlation analyzer operations. Auto-activating skill for Data Analytics. Triggers on: correlation analyzer, correlation analyzer Part of the Data Analytics skill category. Use when analyzing or auditing correlation analyzer. Trigger with phrases like "correlation analyzer", "correlation analyzer", "analyze correlation r".
Manage mixed precision trainer operations. Auto-activating skill for ML Training. Triggers on: mixed precision trainer, mixed precision trainer Part of the ML Training skill category. Use when working with mixed precision trainer functionality. Trigger with phrases like "mixed precision trainer", "mixed trainer", "mixed".
Execute this skill optimizes prompts for large language models (llms) to reduce token usage, lower costs, and improve performance. it analyzes the prompt, identifies areas for simplification and redundancy removal, and rewrites the prompt to be more conci... Use when optimizing performance. Trigger with phrases like 'optimize', 'performance', or 'speed up'.
Analyze datasets by running clustering algorithms (K-means, DBSCAN, hierarchical) to identify data groups. Use when requesting "run clustering", "cluster analysis", or "group data points". Trigger with relevant phrases based on skill purpose.