search-stac
Search and download satellite imagery from Microsoft Planetary Computer. Browse available collections, search by bbox and time range, list assets, and download specific items.
Search and download satellite imagery from Microsoft Planetary Computer. Browse available collections, search by bbox and time range, list assets, and download specific items.
Download NAIP aerial imagery for a bounding box. Specify coordinates as minx,miny,maxx,maxy in WGS84 and optionally a year.
GNSS navigation since training cutoff (latest: latest) — RTK/RTCM 3.x, SPARTN v2.0.3 PPP, Galileo HAS/OSNMA, u-blox F9P UBX protocol, IGS products, Android GnssMeasurement API. Load before working with GNSS.
Record what you just did that earned a positive reaction. Use this when someone scratches your head, praises you, or shows they liked what you did.
Monitors multiple chronic disease indicators (BP, glucose, HbA1c, lipids, uric acid, creatinine, eGFR, liver function) against Chinese clinical guidelines. Detects abnormal trends, metabolic syndrome, and generates visit summaries. Use when the user tracks lab results or manages multiple chronic conditions.
Map Monagotchi pet state to real-world environment via Alexa smart home devices. Use after any pet action or status check to adjust room lights, temperature, and announce status. Requires the alexa-cli skill (buddyh/alexa-cli). Works with monagotchi-controller.
Guides LLM-based text classification for survey and experimental text data. Covers codebook design, learning regime selection, model choice, human-LLM hybrid workflows, and validation. Use when (1) designing an LLM classification scheme for open-ended survey responses, (2) writing a codebook for LLM text annotation, (3) choosing between zero-shot, few-shot, fine-tuning, or instruction-tuning, (4) selecting a model for classification, (5) validating LLM classifications against human-coded ground truth, (6) implementing hybrid human-LLM workflows, (7) addressing reproducibility concerns, or (8) reporting LLM classification methods and results.
Laboratory automation toolkit for controlling liquid handlers, plate readers, pumps, heater shakers, incubators, centrifuges, and analytical equipment. Use this skill when automating laboratory workflows, programming liquid handling robots (Hamilton STAR, Opentrons OT-2, Tecan EVO), integrating lab equipment, managing deck layouts and resources (plates, tips, containers), reading plates, or creating reproducible laboratory protocols. Applicable for both simulated protocols and physical hardware control.
Validate claims through tool execution, avoid superlatives and unsubstantiated metrics. Use when reviewing codebases, analyzing systems, reporting test results, or making any factual claims about code or capabilities.
Query-first dataset access with @domoinc/query including filters, grouping, date grains, and performance constraints.
Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle activity, or eye movements. Applicable for heart rate variability analysis, event-related potentials, complexity measures, autonomic nervous system assessment, psychophysiology research, and multi-modal physiological signal integration.
Creates Terminal UI applications using Melker's .melker file format. Use when the user asks to build terminal apps, TUI interfaces, create .melker files, or mentions Melker components like containers, buttons, dialogs, tabs, canvas, or forms.
Use community-domo-cli to create, discover, browse, upload, download, and query files in Domo FileSets from the command line. Use this whenever the user needs to interact with Domo FileSets via CLI or automation — including listing filesets, browsing file directories, pulling files locally, pushing binary files, or running AI queries over file content.
Build terminal UIs with ratatui following 2026 Rust best practices. Use when: (1) Creating new TUI apps, (2) Adding widgets/layouts, (3) Keyboard navigation/state management, (4) Image integration via ratatui-image, (5) Async event handling, (6) Release optimization. Covers v0.30.0+ API, Elm Architecture, StatefulWidget, color-eyre.
**Generating sample data for Domo** -- invoke when a user needs to create realistic sample datasets and upload them to a Domo instance. Primary signals: requests for sample data, demo data, test data, fake data for Domo; mentions of Salesforce, Google Analytics, QuickBooks, NetSuite, Google Ads, Facebook Ads, or HubSpot sample data; questions about the datagen CLI or domo_data_generator. Covers: generating datasets, uploading to Domo, creating datasets in Domo, rolling dates, entity pools, connector icons, catalog management, and adding new dataset definitions. Skip for: real connector setup, production data pipelines, data transformations (Magic ETL), or Domo App Platform.
Deploy frontend projects to Vercel with automatic custom domain setup. Handles Vite, Next.js, CRA, and static sites. Auto-configures Cloudflare DNS CNAME records and Vercel domain aliases. Supports SPA routing via vercel.json. Trigger when user says "deploy to vercel", "部署到 vercel", "vercel deploy", or mentions a *.lovstudio.ai / custom domain with vercel deployment.
TwinMind area engine — manages Areas of ongoing responsibility (long-term focus domains with no end date). Use this skill when the user talks about a persistent life/work domain they want to track, like '健康管理', '職涯發展', '財務規劃', or when they want to group projects and cards under a theme. Triggers: '建立領域', 'create area', '新增 area', '停用 area', 'deactivate', '重新啟用', 'reactivate', '關聯到 area', 'link to area', '列出 areas', 'list areas', '關注領域', or any mention of ongoing responsibilities, life domains, or thematic grouping of projects. Important: Areas are different from Projects (which have end dates) and from card domains (which are metadata tags). An Area is a conscious commitment to track a life domain.
Define shared domain types and API contracts for F# full-stack applications using records, discriminated unions, and Fable.Remoting interfaces. Use when starting new features, defining data structures, or creating API contracts shared between client and server. Creates types in src/Shared/Domain.fs and API interfaces in src/Shared/Api.fs. Ensures type safety across the stack with compile-time checking.