Results for “file-access”
13 skillsrams
Reviews code files for accessibility (WCAG 2.1) and visual design issues, providing prioritized findings and fixes.
54 · bundle
drag-and-drop
Implements accessible drag-and-drop in Lightning Web Components using the HTML5 Drag and Drop API, with keyboard alternatives, live-region announcements, and file drop zones.
15 · bundle
frontend-slides
Create zero-dependency, animation-rich HTML presentations from scratch or by converting PowerPoint files, with viewport-fit enforcement and visual style exploration.
226k · bundle
geniml
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.
3 · bundle
More results
geniml
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.
0 · bundle
web-access
Handles all networked operations through a real browser via CDP, including search, page scraping, login-required actions, and social media content extraction.
0 · bundle
web-access
Handles all network operations including search, web scraping, login-required access, and social media content retrieval via a real browser CDP proxy.
2 · bundle
geniml
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.
0 · bundle
hasdata-cli
Provides command-line access to search, scraping, and structured web data from over 40 APIs including Google, Amazon, Yelp, and Zillow.
42.4k · bundle
geniml
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.
5 · bundle
beautiful-article
Transforms source materials (URLs, PDFs, DOCX, Markdown, text, screenshots) into a single-file HTML web article that is visually polished, offline-accessible, and shareable, using a structured editorial workflow with checkpoints and quality reviews.
9.2k · bundle
react-component-generator
Use when Codex needs to generate or scaffold a React or Next.js component with clear props, state handling, Tailwind styling direction, accessibility, and file structure. Trigger on requests to create a component, page section, dashboard widget, form, modal, or reusable UI block.
0 · bundle
image-seo
Audit images across AEM Edge Delivery Services pages for SEO and performance, checking alt text quality, dimensions, lazy loading, fetch priority, file naming, and decorative image handling, and generate per-page reports with fix instructions.
142 · bundle