product-tryon-visualization
Generate realistic virtual product try-on visualizations to help customers evaluate fit, drape, and scale before purchasing.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
482 skills found
Generate realistic virtual product try-on visualizations to help customers evaluate fit, drape, and scale before purchasing.
Analyzes Claude Code chat history to identify coding patterns and skill gaps, curates personalized learning resources from HackerNews, and sends progress reports to Slack.
Design world-class PowerPoint presentations with professional branding, consistent typography, and sophisticated animations. Ideal for pitches, keynotes, and business reports.
Intelligently migrate existing brownfield projects to the AgenticDev structure using AI-powered analysis to reorganize documentation, generate rich frontmatter, and preserve git history.
Interactive development workflow manager. Coordinates discovery, planning, review, and build phases using a specialized team of AI agents (Scout, Bob, Garry, Arlo) for consistent project delivery.
Automate release note generation from git commits. Categorizes changes, transforms technical jargon into user-friendly summaries, and supports CHANGELOG.md, PR bodies, and Slack announcements.
Expert guidance and configuration standards for creating specialized OpenCode AI agents, including YAML frontmatter, tool permissions, and operational modes.
Discover, analyze, and summarize trending GitHub repositories, project health, and technical stacks to stay updated on open-source ecosystems.
Automated pipeline to download, split, and deeply analyze academic PDFs in structured batches to avoid context window limits and ensure high-quality comprehension.
Frame core customer problems, supporting evidence, and success hypotheses to ensure discovery work is grounded in data before solutioning begins.
Overcome coding blocks and development stagnation using lateral thinking personas and structured reframing techniques.
Enforce epistemic quality in RAG systems with pre-ingestion verification. Ensures documents are properly qualified and structured before knowledge base entry.