Results for “metadata”

Implement custom AEM Workflow Java components on AEM 6.5 LTS, including WorkflowProcess and ParticipantStepChooser with OSGi registration, metadata handling, and error patterns.

Creates new Claude skills with proper structure and metadata, then automatically packages and shares them on Slack for team collaboration.

Refines an existing skill in place with minimal diffs, using evidence from usage and session mining to improve triggers, workflow, metadata, and resources.

Identifies recurring patterns across three or more domains to extract universal principles and apply them to new problems.

Manage Google Drive files, folders, and shared drives via the Drive v3 API, including uploads, downloads, permissions, and metadata operations.

Generate concise, actionable meeting minutes for internal meetings, including metadata, attendees, agenda, decisions, action items with owners and due dates, and follow-up steps.

Downloads YouTube video transcripts/subtitles and cover images by URL or video ID, with support for multiple languages, translation, chapters, and speaker identification.

Grounds legal drafting in verified government references across 29+ US, EU, and Canadian jurisdictions, with CLI tools for searching templates, fetching metadata, and generating contract scaffolds.

Turn rough notes, workshop content, or prompt dumps into compliant, publish-ready SKILL.md files that pass validation and integrate with repo documentation.

Analyze Microsoft Outlook PST and OST files for email forensic evidence including message content, headers, attachments, deleted items, and metadata using libpff, pst-utils, and forensic email analysis tools for legal investigations and incident response.

Machine learning on genomic interval data (BED files) with the geniml Python package — region embeddings (Region2Vec), joint region+metadata embeddings (BEDspace/StarSpace), single-cell ATAC-seq embeddings (scEmbed), consensus peak sets / universes (build-universe), tokenization, BEDshift randomization, and BBClient/BEDbase caching. Use when training or using region/cell embeddings, clustering scATAC-seq, building a tokenization universe from BED collections, or any ML/feature-learning task over genomic regions. NOT for plain interval arithmetic (overlap/intersect/merge counts) — that is gtars, not geniml. Part of the AlterLab Academic Skills suite.