Results for “dsc”

Tests genotype-environment associations and identifies adaptive loci while correcting for the four-confound landscape (structure, demography, background selection, sampling design) using LFMM2 with mandatory K via sNMF cross-entropy elbow (LEA 3), BayPass Core/AUX/C2/IS with Omega covariance matrix, RDA / pRDA for polygenic adaptation (Forester 2018; requires imputed genotypes), OutFLANK with trimmed FST null, pcadapt, gradient forests (Ellis-Smith-Pitcher 2012, NOT mis-cited Ellis-Manel), Capblancq & Forester 2021 RDA Swiss-army-knife, genomic-offset prediction with Lind & Lotterhos 2025 three-regime caveat, Lotterhos-Whitlock sampling optima, Wang & Bradburd 2014 IBD vs IBE, and Circuitscape + ResistanceGA. Use when identifying adaptive loci across gradients, choosing K for LFMM2, deciding among GEA methods, predicting maladaptation with the novel-environment caveat, distinguishing IBD vs IBE, or optimizing sampling design.

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Estimate bivariate genetic correlation (rg) between traits from GWAS summary statistics or individual-level genotypes using cross-trait LDSC, HDL, LAVA, rho-HESS, GREML-bivariate, Popcorn, and HDL-L. Use when quantifying shared genetic architecture between two traits, screening MR validity before causal inference, distinguishing global from locus-level rg, estimating trans-ancestry rg, separating partial from full causation via LCV gcp, or producing a STROBE-MR-compliant cross-trait sensitivity battery. Cross-trait LDSC intercept absorbs sample overlap and is NOT a bias; HDL is biased under sample overlap above ~5%. High rg between exposure and outcome motivates CHP-aware MR sensitivity (CAUSE, LHC-MR).

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Tests genotype-environment associations and identifies adaptive loci while correcting for the four-confound landscape (structure, demography, background selection, sampling design) using LFMM2 with mandatory K via sNMF cross-entropy elbow (LEA 3), BayPass Core/AUX/C2/IS with Omega covariance matrix, RDA / pRDA for polygenic adaptation (Forester 2018; requires imputed genotypes), OutFLANK with trimmed FST null, pcadapt, gradient forests (Ellis-Smith-Pitcher 2012, NOT mis-cited Ellis-Manel), Capblancq & Forester 2021 RDA Swiss-army-knife, genomic-offset prediction with Lind & Lotterhos 2025 three-regime caveat, Lotterhos-Whitlock sampling optima, Wang & Bradburd 2014 IBD vs IBE, and Circuitscape + ResistanceGA. Use when identifying adaptive loci across gradients, choosing K for LFMM2, deciding among GEA methods, predicting maladaptation with the novel-environment caveat, distinguishing IBD vs IBE, or optimizing sampling design.

The English summary is being prepared. Showing the original description.

Estimate bivariate genetic correlation (rg) between traits from GWAS summary statistics or individual-level genotypes using cross-trait LDSC, HDL, LAVA, rho-HESS, GREML-bivariate, Popcorn, and HDL-L. Use when quantifying shared genetic architecture between two traits, screening MR validity before causal inference, distinguishing global from locus-level rg, estimating trans-ancestry rg, separating partial from full causation via LCV gcp, or producing a STROBE-MR-compliant cross-trait sensitivity battery. Cross-trait LDSC intercept absorbs sample overlap and is NOT a bias; HDL is biased under sample overlap above ~5%. High rg between exposure and outcome motivates CHP-aware MR sensitivity (CAUSE, LHC-MR).

The English summary is being prepared. Showing the original description.

Keeps brand definitions, several side by side, and turns one into a Claude Design System, DESIGN.md, VOICE.md or guide. Trigger to define a brand, palette, type or voice; turn a style guide or site into tokens; make, connect or sync a design system; audit for brand drift (off-palette colours, old names); pass or fail a page against a brand, or apply one to a README or generated output; critique or check a built UI, or a built site (dist/) for UI problems before it ships (hierarchy, spacing, states, generic look); or say brandscribe (setup, build, export, sync, audit, gate, ui). Microcopy and messages are commscribe's; React libraries design-sync's; charts dataviz's; canon lorescribe's; a pre-build brief, fit across widths and themes, and game UI uismith's; no logos.

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Define a new product's visual style through product discovery and research. Get recommendations for fonts, colors, layout, spacing, and motion, preview font and color combinations, and document the shared design rules in DESIGN.md.

• Defining the visual style for a new product
• Documenting shared brand and interface guidelines
• Previewing font and color combinations

Create a single HTML file with a flowing, animated background and a prominent quote or headline. Use it for a video intro, a landing page's main visual, or a poster, with landscape and portrait layouts available.

• Creating a video intro with a short message
• Designing a landing page's main visual
• Making a poster with a flowing background

Turn a website's screenshots and brand assets into a HyperFrames site tour or social clip. Develop a storyboard and script, add optional narration and captions, then validate the video and deliver a Studio preview.

• Creating a video tour of a portfolio
• Turning a blog or landing page into a social clip
• Making a site showcase with narration and captions

Build editable Three.js worlds from text or structured briefs, with terrain, distinct regions, landmarks, vegetation, and camera paths. Review the environment from multiple viewpoints and refine selected areas while preserving the overall layout and reproducible settings.

• Build a continuous 3D landscape from a written brief
• Plan a camera fly-through across distinct regions
• Refine one area's terrain or vegetation placement

Create mathematical and geometric animations in Python with Manim Community Edition. Use guidance, examples, and scene templates to structure animations, display equations, plot graphs, control cameras, and render two-dimensional or three-dimensional scenes.

• Animating equations and derivations
• Creating function graphs and area visualizations
• Building 3D surfaces with camera movement

Create animated HTML pages with smooth scene transitions and playback controls. An editable timeline lets users adjust scene lengths and speeds, with fixed landscape or portrait layouts prepared for video export.

• Create an animated product walkthrough
• Explain a message through moving text and graphics
• Build a portrait animation for video export

Add timed graphic cards to an existing interview, podcast, or talking-head video. Turn spoken points into titles, quotes, and data callouts, then render an MP4 in a landscape or portrait format while the original clip plays throughout.

• Highlight key points in an interview
• Add data callouts to an explainer video
• Package a podcast video for a portrait canvas

Research competitors from their website URLs and turn findings into consistent Markdown profiles. Compare features, pricing, positioning, and available SEO data, with dated sources and a summary that brings multiple competitors together.

• Compare competitors' features and pricing
• Research competitors' messaging and search visibility
• Create sourced competitor profiles for the team

Create market research reports that connect claims to sources, compare competitors, and estimate market size. Build alternative forecasts with explicit assumptions, so readers can review the calculations, uncertainties, and evidence behind each conclusion.

• Preparing a market report for a new business
• Comparing market size estimates and their assumptions
• Building competitor comparisons with traceable sources

Generate realistic photo-style images with Google AI Studio for social posts and educational materials. Adjust aspect ratios, lighting, settings, and subtle imperfections to create a natural smartphone-photo look suited to each use.

• Natural lifestyle images for social posts
• Photo-style illustrations for courses and tutorials
• Portrait or landscape images for different platforms

Compare competitors, pricing, and market positions to identify differentiation options. Use structured analysis and positioning maps, which compare businesses on key customer priorities, to assess market entry choices and whether competitive advantages can last.

• Comparing competitors' products, prices, and sales approaches
• Mapping market positions to find unmet customer needs
• Choosing an initial target segment for market entry

Prepare for one company's upcoming earnings announcement with a compact HTML report. It combines the latest earnings call, competitor comparisons, valuation measures, and recent news, with links to supporting sources and calculation details.

• Preparing a company earnings preview
• Comparing valuation with listed competitors
• Reviewing management guidance and key risks

Generate images from text, edit an existing picture, or combine up to three source images using Gemini 3 Pro Image through OpenRouter. Choose 1K, 2K, or 4K output and save the results as image files.

• Generating a landscape image from a written description
• Replacing the sky in an existing photo
• Combining subjects from multiple images into one portrait

Build a Solution Blueprint for a Dynamics 365 Finance and Supply Chain Management implementation through guided interviews. Define scope and architecture, compare options, and document decisions, their rationale, assumptions, and unresolved questions across working sessions.

• Create an architecture blueprint for a new D365 implementation
• Define implementation scope and rollout phases
• Compare data migration and integration approaches

Research competitors’ paid ads on Meta and Google, then examine their messaging, formats, and landing pages. Produce a strategy report showing paths from ads to signups, gaps in competitors’ approaches, and ideas for campaigns to test.

• Review the ad landscape before a campaign launch
• Compare competitors’ messages and ad formats
• Examine the path from an ad to a signup

Research private companies through six perspectives, including business, finances, competition, and technology. Cross-check evidence, separate facts from inferences, and produce a valuation range, possible exit routes, and a map of missing information.

• Assess a private company's business and valuation range
• Compare conflicting revenue or funding reports
• Check company claims against hiring and patent signals

Generate or modify images through the Luma AI API using Photon models. The skill gathers image descriptions and options, supports reference images for visual guidance, and uses a bundled Python script to wait for completion and download results.

• Creating a landscape image for a website
• Generating square product images
• Guiding image style or composition with a reference

Generate images from written descriptions through 9Router using a choice of image models. Check each model’s supported settings, request an image, and receive a URL, encoded image data, or image bytes for saving to a file.

• Creating a landscape image from a written description
• Checking supported image sizes and quality settings
• Saving generated images as files

Build quarterly product plans by translating company goals into product and team OKRs, meaning objectives with measurable results. Generate linked goal hierarchies, check alignment across teams, and review how responsibilities are distributed.

• Drafting quarterly product goals
• Translating company goals into team OKRs
• Reviewing conflicts and gaps between team goals