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Found 3,036 Skills
Implements Syncfusion WinForms SfDataGrid component for displaying and managing tabular data in Windows Forms applications. Use this when working with data grids, column management (auto-generation, stacked headers), data operations (filtering, sorting, grouping), or grid editing with validation. The skill covers data summaries, selection modes, export capabilities (Excel/PDF), conditional styling, master-detail views, and drag-and-drop functionality.
Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows.
Generates ZK Framework ZUL pages (.zul) through a structured 4-step workflow: requirements clarification, ZUL generation, validation, and controller generation. Supports both MVC (Composer-based) and MVVM (ViewModel-based) patterns, ZK 9/10, and visual analysis for screenshot-to-ZUL conversion. Use when the user asks to create a ZUL page, build ZK UI components (forms, grids, dashboards, borderlayouts), or convert an image/mockup to ZUL code.
Implement Syncfusion React TimePicker component for user time selection, scheduling interfaces, and appointment booking. Use this skill whenever users need to add time picker inputs for appointment systems, scheduling apps, time-based filtering, shift management, or time range selection. Covers installation, time format customization, min/max constraints, event handling, form integration, validation patterns, and mobile responsive behavior.
Autonomous pixel-perfect UI implementation loop for Next.js/React using Figma MCP and Playwright. Converts Figma designs to production-ready components with iterative visual validation. **AUTO-TRIGGERS** on ANY request to implement Figma designs including: 'implement this Figma', 'build this page/component from Figma', 'create from Figma design', 'implement design', 'build this block', 'create component from design'. Use for: (1) Building pages/components from Figma, (2) Pixel-perfect accuracy, (3) Responsive layouts, (4) Design token conversion.
Root-cause-driven solution decision framework for the hardest problems across any domain. This is the nuclear option — it consumes significant tokens through exhaustive multi-branch root cause analysis, MECE solution enumeration, and domain-adaptive external validation. Use ONLY for genuinely difficult problems: recurring failures that resist repeated fix attempts, complex systemic issues with no clear solution path, decisions where multiple approaches exist and the wrong choice has high cost, problems with multiple interacting causes spanning components or teams. Trigger when: the user says 'what's the best way to fix X', 'why does this keep happening', 'how should we approach this', 'find the root cause', 'what are my options for fixing X', 'analyze this problem systematically', 'evaluate our options for X', 'what's the right approach and why', or expresses frustration that previous solutions didn't stick. Do NOT use for: problems where the answer is already obvious or requires no analysis, straightforward issues with clear solutions, or routine investigation. If the problem can be solved in 5 minutes of investigation, this skill is overkill.
Use when deploying to production, handling sensitive data, or the workflow needs safety constraints, input validation, and security boundaries.
Explore-lane experimental execution skill for deep learning research repositories. Use when the researcher explicitly authorizes exploratory runs such as small-subset validation, short-cycle guess-and-check, batch sweeps, idle-GPU search, or quick transfer-learning trials, with results summarized in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline execution, conservative training verification, default routing, or implicit experimentation.
Comprehensive guide to Steedos field types and configurations. Fields are defined as .field.yml files in objects/{name}/fields/. Covers text fields, numeric fields (number, currency, percent, autonumber), date/time, boolean/select, relationship fields (lookup, master-detail), computed fields (formula, summary), file/media, and special types. Includes field properties, amis UI customization, visible_on formulas, validation, defaults, and dependencies.
Executes project delivery in five phases (analysis, planning, implementation, validation, delivery) with checklists and a structured final report. Use when the user asks to execute a phase, deliver Phase 1, run a methodological delivery, or follow phased execution.
When the user needs to generate, iterate, or scale ad creative for paid advertising. Use when they say 'write ad copy,' 'generate headlines,' 'create ad variations,' 'bulk creative,' 'iterate on ads,' 'ad copy validation,' 'RSA headlines,' 'Meta ad copy,' 'LinkedIn ad,' or 'creative testing.' This is pure creative production — distinct from paid-ads (campaign strategy). Use ad-creative when you need the copy, not the campaign plan.
Extracts structured practitioner data from healthcare practice websites. Returns names, credentials, specialties, contact info, and education for every provider on a practice's site. Use when user asks to extract, pull, or list doctors, providers, or staff from practice websites. Triggers: "extract doctors from", "pull providers from", "who are the providers at", "build a provider database", "list all doctors at", "scrape the team page", "get practitioner data from". Accepts practice URLs (pasted, CSV, Google Sheet) or discovers practices via Google Maps when given specialty + location. Single sites or 100+ URLs. Do NOT use for filling data gaps — use healthcare-providers-enrich instead. Do NOT use for credential validation — use healthcare-providers-verify instead. Do NOT use for discovering practices — use market-finder or local-places instead. Do NOT use for general extraction — use nimble-web-expert instead.