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Amazon keyword research and market opportunity analysis for sellers. Retrieve autocomplete suggestions (long-tail keywords), analyze competitor landscape, and assess market opportunity for any keyword on 12 Amazon marketplaces (US/UK/DE/FR/IT/ES/JP/CA/AU/IN/MX/BR). No API key required. Make sure to use this skill whenever the user mentions Amazon product research, finding products to sell on Amazon, Amazon keyword ideas, niche analysis, competition analysis for Amazon, market opportunity on Amazon, comparing Amazon keywords, evaluating whether a product is worth selling, Amazon autocomplete data, seasonal demand for Amazon products, or anything related to researching what to sell on Amazon — even if they don't explicitly say 'keyword research'. Also trigger when the user asks vague questions like 'is this a good product to sell?', 'what's the competition like for X on Amazon?', 'should I sell X or Y?', or 'what are people searching for on Amazon?'.

PyHealth is a Python library for healthcare machine learning. Build clinical prediction models from EHR (Electronic Health Record) data: process MIMIC-III/IV, eICU, and OMOP-CDM datasets, encode medical codes (ICD, ATC, NDC), construct patient-level datasets, and train models (Transformer, RETAIN, GRASP, MedBERT) for tasks including mortality prediction, drug recommendation, readmission, and diagnosis prediction. Alternatives: FIDDLE (EHR preprocessing only), clinical-longformer (NLP on clinical notes only), ehr-ml (EHR embedding only).

Query NCI Imaging Data Commons (IDC) for cancer radiology and pathology imaging datasets hosted on Google Cloud. Search DICOM collections by modality, anatomical site, cancer type, or collection name. Download images via Google Cloud Storage or IDAT tool. 50TB+ of publicly accessible DICOM images. Requires Google Cloud account for large downloads; small queries work without billing. For local DICOM processing use pydicom-medical-imaging; for whole-slide pathology use histolab.

OMERO is an open-source platform for biological image data management. Use the omero-py Python client to connect to an OMERO server, search and retrieve images as numpy arrays, annotate images with tags and key-value pairs, manage ROIs, and integrate OMERO image data into downstream analysis pipelines — all programmatically without the OMERO desktop GUI.

PathML is an open-source toolkit for computational pathology. Use it to process whole-slide images (WSIs): load slides, extract tiles, apply stain normalization and nuclear segmentation preprocessing, extract features, and train machine learning models. Supports H&E and multiplex imaging. Ideal for building end-to-end digital pathology pipelines from raw WSI files to quantitative outputs.

Pure Python DICOM library for medical imaging (CT, MRI, X-ray, ultrasound). Read/write DICOM files, extract pixel data as NumPy arrays, access/modify metadata tags, apply windowing (VOI LUT), anonymize PHI, build DICOM from scratch, process series into 3D volumes. For whole-slide pathology images use histolab; for NIfTI neuroimaging use nibabel.

Python library for tracking particles (fluorescent spots, colloids, vesicles, cells) in video microscopy using the Crocker-Grier algorithm. Core modules: locate particles in single frames, batch-process image sequences, link positions into trajectories, filter short-lived tracks, and compute mean squared displacement (MSD) for diffusion analysis. Supports 2D and 3D tracking with subpixel accuracy. Integrates with pims for reading TIF stacks, AVI, and image series. Use when you need quantitative single-particle tracking (SPT) from fluorescence or brightfield video and downstream diffusion coefficient extraction.

Geniml is a Python library for genomic interval machine learning. Train and apply region2vec embeddings to convert BED file regions into numeric vectors, load and index genomic interval datasets for ML pipelines, search embedding spaces with BEDSpace, and evaluate embedding quality. Use for chromatin accessibility clustering, regulatory element classification, cross-sample region comparison, and building ML models on genomic intervals.

Python API v2 for programming Opentrons OT-2 and Flex liquid handling robots. Write protocols as Python files with metadata and a run() function; control pipettes, labware, and hardware modules (thermocycler, heater-shaker, magnetic, temperature). Simulate locally with opentrons_simulate, then upload to the robot app. Use PyLabRobot instead for hardware-agnostic scripts that run on Hamilton, Tecan, or other vendors.

Access US Patent and Trademark Office (USPTO) patent data via the PatentsView REST API and Google Patents Public Data (BigQuery). Use it to search patents by inventor, assignee, CPC classification, or keywords; download full patent metadata and claims; analyze patent portfolios; and track technology trends. Ideal for IP landscape analysis, competitor monitoring, prior art searches, and technology forecasting in life sciences and biotech.

Search and retrieve cryo-EM density maps, fitted atomic models, and metadata from the Electron Microscopy Data Bank (EMDB) REST API. Query by keyword, resolution, method, or organism; fetch entry details, map download URLs, associated PDB models, and publications. No authentication required. For experimental atomic coordinates use pdb-database; for AlphaFold predicted structures use alphafold-database-access.

Query ZINC15/ZINC22 virtual compound libraries for drug discovery. Search purchasable lead-like, fragment-like, and drug-like compounds by molecular weight, logP, reactivity class, or SMILES similarity. Download 3D compound sets for docking, retrieve SMILES for in-silico screening. ZINC20 contains 1.4B compounds; purchasable subset is 750M. For bioactivity data use chembl-database-bioactivity; for approved drugs use drugbank-database-access.

Step-by-step Shopify store setup guide. From account creation to first sale — theme selection, product uploads, payment and shipping configuration, domain setup, and launch checklist.

当需要理解或扩展基础设施层（加载器、基类、路径、错误处理）等底层开发时使用。

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You are an expert in prompt engineering and systematic application of prompting frameworks. Help users transform vague or incomplete prompts into well-structured, effective prompts through analysis, d

Uploads promo videos and content to Cloudflare R2 or AWS S3. Use when the user wants to host promo content for social media or distribution.

Self-contained design transformer — invoke directly, do not decompose. Transforms a design reference HTML file into a Vibes app. Use when user provides a design.html, mockup, or static prototype to match exactly.

Self-contained SaaS pipeline — invoke directly, do not decompose.

Coordinates album release including QA, distribution prep, and platform uploads. Use when mastering and album art are complete and the user is ready to release.

Runs the session startup procedure - verifies setup, loads config and state, checks skill models, and reports project status. Use at the beginning of a fresh session.

Validates album directory structure, file locations, and content integrity. Use before release or whenever the user wants to check an album's structural health.

One-time onboarding - upload resume, set preferences, and do a work history interview

Discover and load skills on demand from /mnt/skills/user/. Use when you need a capability but don't know which skill provides it, when the boot-emitted skill list is names-only and you need a full description, or when you want to list the catalog. Verbs are list (names only), search (rank by name/description match against a query), and show (emit the full SKILL.md for a named skill).

Lightweight DAG workflow runner with checkpoint resume and detachable tasks. Use when orchestrating 3+ sequential or parallel tool calls into a single invocation, or when pipelines need resume-from-failure without re-running succeeded steps.

A working computer built from transformer primitives. Every instruction fetch and stack read

Selective simplification: one pipeline pass at high K → zone-aware contour

Reads data from relational databases using MATLAB Database Toolbox pushdown capabilities. Use when importing data from JDBC/ODBC databases, filtering rows, selecting columns, excluding duplicates, joining database tables, using sqlread, fetch, sqlinnerjoin, sqlouterjoin, databaseImportOptions, or rowfilter.

Extract transcripts from videos via [TranscriptAPI.com](https://transcriptapi.com).

Upload and host files anonymously using decentralized storage with Originless and IPFS.

Manipulate PDF files including merge, split, extract, redact, convert, and secure workflows.

Host static websites and assets via zip upload to Originless IPFS. Use when: (1) Deploying static sites, (2) Hosting HTML/CSS/JS projects, (3) Sharing web assets publicly, or (4) User asks to host static files.

Search for torrents by title or IMDB ID via a Torznab-compatible API. Use when: (1) User asks to find a torrent for a movie or show, (2) You need a magnet link for a given title, or (3) User provides an IMDB ID and wants download options.

Download YouTube video or audio with yt-dlp and ffmpeg at highest available quality.

Convert CAD/BIM files to structured data. Extract element data from Revit, IFC, DWG, DGN files.

Extract data from construction images using AI Vision. Analyze site photos, scanned documents, drawings.

Convert RVT/RFA files to Excel databases. Extract BIM element data, properties, and quantities.

Schedule labor crews based on CWICR norms and project timeline. Calculate crew sizes, shifts, and labor loading curves.

Automate construction data workflows. Build ETL pipelines and DAG workflows for recurring tasks.

Build n8n pipeline for automated cost estimation from Revit/IFC using DDC CWICR database and LLM classification.

Automate construction photo report generation using n8n with AI-powered image analysis.

Create n8n workflow for daily task assignment from PTO engineer to foreman via Telegram bot with status reporting.

Build Telegram bots for construction field workers. Real-time reporting, photo uploads, task assignments, progress tracking. Integrate with n8n for automated workflows.

Build no-code/low-code automation workflows for construction using n8n. Automate data extraction, cost estimation, report generation, and system integrations without writing code.

Interact with third-party or self-hosted services (Slack, Google Workspace, Dropbox, GitHub, Linear, Coolify...) using their HTTP APIs on the user's behalf.

World-class brand strategist and naming expert. Uses an interrogation-led discovery phase to extract your brand's DNA, then applies scientific naming frameworks (Phonosemantics) and automated multi-TLD domain checking.