This skill applies consistent corporate branding and styling to all generated documents including colors, fonts, layouts, and messaging
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This skill ensures all generated documents adhere to corporate brand standards for consistent, professional communication.
Tagline: "Innovation Through Excellence" Industry: Technology Solutions
Primary Colors:
Secondary Colors:
Primary Font Family: Segoe UI, system-ui, -apple-system, sans-serif
Font Hierarchy:
Slide Templates:
Layout Rules:
Formatting Standards:
Chart Defaults:
Page Layout:
Section Formatting:
Opening Statements:
Closing Statements:
Numbers:
Tables:
Always ensure:
Never use:
When creating any document:
apply_brand.py: Automatically applies brand formatting to documentsvalidate_brand.py: Checks documents for brand complianceNo reviews yet. Tell others what you thought.
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Testing patterns for PHPUnit and Playwright E2E tests. Use when writing tests, debugging test failures, setting up test coverage, or implementing test patterns for ActivityPub features.
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How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, BLI/SPR assays, thermostability assays, or wants to submit protein sequences for experimental characterization. Also trigger when code imports `adaptyv`, `adaptyv_sdk`, or `FoundryClient`, or references `foundry-api-public.adaptyvbio.com`.
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Add unsigned integer (uint) type support to PyTorch operators by updating AT_DISPATCH macros. Use when adding support for uint16, uint32, uint64 types to operators, kernels, or when user mentions enabling unsigned types, barebones unsigned types, or uint support.
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Time-blind friendly planning, executive function support, and daily structure for ADHD brains. Specializes in realistic time estimation, dopamine-aware task design, and building systems that actually work for neurodivergent minds.
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This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
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Unified analysis pipeline for affinity-based proteomics platforms — Olink (PEA, NPX) and SomaLogic SomaScan (SOMAmer, RFU). Platform-aware QC, normalisation, differential abundance, volcano plots, heatmaps, and PCA.
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