web-shader-extractor
Extract, deobfuscate, and port WebGL/Canvas/Shader visual effects from websites into standalone, native JavaScript projects.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
147 skills found
Extract, deobfuscate, and port WebGL/Canvas/Shader visual effects from websites into standalone, native JavaScript projects.
Automate clinical report generation including CARE-compliant case reports, diagnostic summaries, clinical trial documentation (CSR/SAE), and patient notes with regulatory compliance.
Facilitate structured product discovery with Opportunity Solution Trees, assumption mapping, and hypothesis-driven experimentation to de-risk product development.
Build stateful AI agents on Cloudflare Workers using the Agents SDK. Features real-time WebSockets, persistent state management, scheduled background tasks, and native tool integration for production-ready deployments.
Find, connect, and use over 100,000 MCP tools and skills via the Smithery CLI to integrate external services, manage agent workspaces, and automate workflows.
Get deep, critical, NeurIPS/ICML-style peer reviews of your research, paper drafts, and experimental setups using external LLMs via Codex MCP.
Implement LlamaExtract for robust structured data extraction from PDF, DOCX, and PPTX files using Pydantic schemas.
Generate professional equity research snapshots using consensus estimates, company fundamentals, historical pricing, and macroeconomic indicators to build investment theses.
End-to-end autonomous research agent: from idea generation and literature review to experiment execution, adversarial review loops, and paper writing.
Rigorous research skill that enforces source verification via WebFetch and content analysis to prevent hallucinated citations.
Fetch and parse Feishu (Lark) cloud documents into Markdown, with support for media handling and Wiki space navigation.
Classical machine learning with scikit-learn. Use for classification, regression, clustering, dimensionality reduction, preprocessing, model evaluation, and building robust ML pipelines in Python.