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Found 1,678 Skills
Accessibility (a11y) for CometChat UI Kit integrations across all families — React, React Native, Angular, Android (V5/V6), iOS, Flutter. Covers WCAG 2.1 AA targets, keyboard navigation in chat, screen reader announcements (live regions for new messages), color contrast, focus management on call screens, motion-reduction support, and the cross-family checks that catch the common production a11y bugs. Cross-family — applies wherever the agent is checking accessibility.
SOP for Vehicle Entry/Exit Operation Process of AIKE Smart Parking Open Platform (End-to-end Orchestration for Entry/Exit). This skill is applicable when users want to complete the full entry/exit of a vehicle, simulate the real physical entry/exit process, run through the entire link of 'Supplement/Capture Entry → Correction' or 'Exit Capture → Correction → Fee Inquiry → Payment', or ask questions like 'How does a vehicle enter/exits the parking lot?', 'Entry/exit process', 'Entry/exit SOP', 'How to move a vehicle into/out of the parking lot', 'Simulate vehicle entry/exit', or encounter stuck/debugging issues during entry/exit (e.g., vehicle fails to enter after capture or correction, capture returns error code 908, unsure how to proceed to the next step). This skill is a cross-domain orchestration layer that connects multiple commands from parking (supplement/correction/inventory), device (capture), and trade (fee inquiry/payment), and clarifies cross-command hard constraints (paired exit, capture device, channel release mode, token validity) and failure handling. Boundary: For querying a single record, checking on-site vehicles, locking vehicles, or calling a single command, please directly use the corresponding domain skills openydt-record / openydt-device / openydt-billing instead of this process skill.
Standalone quality review for Elastic integrations. Classifies files by domain, loads domain-specific skills and review checklists, applies cross-domain consistency rules, CEL version verification, API conformance, and severity calibration. Input-agnostic: works on local packages, PR diffs, or branch comparisons. Use when reviewing integration quality independently of any build or fix workflow.
Customer-centric conversion rate optimization methodology based on "Making Websites Win" by Karl Blanks and Ben Jesson (Conversion Rate Experts). Use when optimizing websites, landing pages, funnels, improving conversion rates, analyzing why visitors don't convert, creating persuasive copy, designing A/B tests, auditing UX, or building customer-centric websites. Provides systematic CRO process, objection/counter-objection framework, and evidence-based optimization techniques.
Use when implementing SwiftUI gestures (tap, drag, long press, magnification, rotation), composing gestures, managing gesture state, or debugging gesture conflicts - comprehensive patterns for gesture recognition, composition, accessibility, and cross-platform support
Manages cross-session knowledge persistence. Triggers on "remember", "recall", "what did we", "save this decision", "todo", or session handoff.
General-purpose agent for researching complex questions and executing multi-step tasks. Versatile problem-solver that combines research capabilities, analytical thinking, and systematic task execution. Use for complex research projects, multi-step workflows, cross-domain analysis, and tasks requiring multiple tools and approaches.
Bidirectional integration validation where two repositories validate each other before release. TRIGGERS - symmetric dogfooding, bidirectional testing, cross-repo validation, reciprocal testing, polyrepo integration.
AI Agent long-term memory system with cross-session, cross-project persistence. Triggers: - /remember - Store memories - /recall - Search memories - /forget - Delete/archive memories - /memory-status - Check status - When needing to persist important conversation insights - When sharing user preferences across projects
Flutter cross-platform UI toolkit with Dart. Use for mobile/web/desktop.
Multi-perspective dialectical reasoning with cross-evaluative synthesis. Spawns parallel evaluative lenses (STRUCTURAL, EVIDENTIAL, SCOPE, ADVERSARIAL, PRAGMATIC) that critique thesis AND critique each other's critiques, producing N-squared evaluation matrix before recursive aggregation. Triggers on /critique, /dialectic, /crosseval, requests for thorough analysis, stress-testing arguments, or finding weaknesses. Implements Hegelian refinement enhanced with interleaved multi-domain evaluation and convergent synthesis.
Expert guidance for Windows, PowerShell, WSL interop, and cross-platform development