Performs structure-based virtual screening using AutoDock Vina 1.2 for molecular docking. Prepares receptor PDBQT files, generates ligand conformers, defines binding site boxes, and ranks compounds by predicted binding affinity. Use when screening chemical libraries against a protein structure to find potential binders.
Searches molecular libraries for substructure matches using SMARTS patterns with RDKit. Filters compounds by pharmacophore features, functional groups, or scaffold matches with atom mapping. Use when finding compounds containing specific chemical moieties or filtering libraries by structural features.
Specialized lipidomics analysis for lipid identification, quantification, and pathway interpretation. Covers LC-MS lipidomics with LipidSearch, MS-DIAL, and LipidMaps annotation. Use when analyzing lipid classes, chain composition, or lipid-specific pathways.
Detect sample contamination and cross-species reads using FastQ Screen. Screen reads against multiple reference genomes to identify bacterial, viral, adapter, or sample swap contamination. Use when suspecting cross-contamination or working with samples prone to microbial contamination.
Predicts ADMET properties using ADMETlab 3.0 API or DeepChem models. Estimates bioavailability, CYP inhibition, hERG liability, and 119 toxicity endpoints with uncertainty quantification. Filters for PAINS and other structural alerts. Use when filtering compounds for drug-likeness or prioritizing leads by predicted safety.
Run remote BLAST searches against NCBI databases using Biopython Bio.Blast. Use when identifying unknown sequences, finding homologs, or searching for sequence similarity against NCBI's nr/nt databases.
End-to-end Hi-C analysis workflow from contact pairs to compartments, TADs, and loops. Covers cooler matrices, cooltools analysis, and visualization. Use when processing Hi-C data to compartments and TADs.
Use this skill when the user wants to produce a short video (5–120 seconds). Supports any video type: product ads, TikTok/Instagram/YouTube content, brand videos, explainers, social clips. USE FOR: video production, AI video, make a video, product video, brand video, promotional clip, explainer video, short video.
Generate short AI videos from text or images — text-to-video, image-to-video, and reference-based generation — with zero API key setup. Use when the user wants to create a video clip, animate an image, or generate video from a description.
Refine prompts for Claude models (Opus, Sonnet, Haiku) using Anthropic's best practices. Use when preparing complex tasks for Claude.
Capture and organize memories, decisions, and learnings to a memories.md file. Use when you want to save context for future sessions.
Refine prompts for GPT models (GPT-5, GPT-5.1, Codex) using OpenAI's best practices. Use when preparing complex tasks for GPT.
Identify flaky tests by comparing failures across multiple CI runs. Use when the user suspects flaky tests, sees intermittent failures, or wants to analyze test reliability.
When the user wants to write, rewrite, or improve marketing copy for any page — including homepage, landing pages, pricing pages, feature pages, about pages, or product pages. Also use when the user says "write copy for," "improve this copy," "rewrite this page," "marketing copy," "headline help," "CTA copy," "value proposition," "tagline," "subheadline," "hero section copy," "above the fold," "this copy is weak," "make this more compelling," or "help me describe my product." Use this whenever someone is working on website text that needs to persuade or convert.
Turn Eloquent models into rich text content attachments (e.g., user mentions, embedded resources) using the AttachableContract and Attachable trait.
Hyper-Extract Knowledge Template Designer for structured knowledge extraction. Use when user wants to: design YAML templates, extract structured knowledge, create knowledge graphs. Available skills: brainstorm, record-designer, graph-designer, yaml-validator, multilingual. Trigger: User mentions template design, extraction, knowledge graph, or YAML configuration.
Access 1000+ scientific tools through ToolUniverse for drug discovery, protein analysis, genomics, literature search, clinical data, ADMET prediction, molecular docking, and more. Use when the user needs biomedical or scientific research capabilities.
Optimize YAML templates for Hyper-Extract. Use when: "optimize template", "fix YAML issues", "improve quality", "lint template" Trigger: After creating templates or during review Skip: Creating new templates (use brainstorm + designer instead)
Compare two containers using native portainer tool data collection and render SVG/CSV outputs.
