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Found 1,062 Skills
Convert .cast recordings to .txt for analysis. TRIGGERS - convert cast, cast to txt, strip ANSI, batch convert.
Semantic analysis of asciinema recordings. TRIGGERS - analyze cast, keyword extraction, find patterns in recordings.
Archive, export, and notarize macOS apps using xcodebuild and asc. Use when you need to prepare a macOS app for distribution outside the App Store with Developer ID signing and Apple notarization.
Use when working with JavaScript in WordPress plugins or themes. Covers wp_enqueue_script, wp_localize_script, wp_add_inline_script, jQuery in WordPress (noConflict mode, $.ajax), AJAX handlers (wp_ajax_, admin-ajax.php, wp_create_nonce, check_ajax_referer), wp.ajax, wp.apiFetch (wp-api-fetch), wp-util and wp.template (Underscore templates), Heartbeat API, script dependencies, defer/async loading strategies (WordPress 6.3+), wp_set_script_translations, and frontend-backend communication patterns.
Use when user wants to control Mac, automate macOS, interact with Apple apps (Notes, Safari, Finder, etc), or run AppleScript commands.
Object and class design patterns following Clean Code JavaScript.
Naming patterns and conventions based on Clean Code JavaScript principles.
Generate TAAG/FIGlet-style ASCII art banners using figlet.js (FIGfont spec), with layout controls (horizontal/vertical layout, width, whitespaceBreak) and optional ANSI 256 coloring.
ASCII diagram patterns for architecture, workflows, file trees, and data visualizations. Use when creating terminal-rendered diagrams, box-drawing layouts, progress bars, swimlanes, or blast radius visualizations.
Enumerate and analyze client-side JavaScript for hidden endpoints, secrets, dangerous sinks, and exploitable browser behaviors.
vLLM Ascend plugin for LLM inference serving on Huawei Ascend NPU. Use for offline batch inference, API server deployment, quantization inference (with msmodelslim quantized models), tensor/pipeline parallelism for distributed serving, and OpenAI-compatible API endpoints. Supports Qwen, DeepSeek, GLM, LLaMA models with Ascend-optimized kernels.
Reconcile App Store Connect subscriptions and in-app purchases with RevenueCat products, entitlements, offerings, and packages using asc and RevenueCat MCP. Use when setting up or syncing subscription catalogs across ASC and RevenueCat.