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Found 298 Skills
Diagnoses and fixes issues in Atlassian Forge apps. Use this skill whenever a Forge app has errors, crashes, shows blank UI, fails to deploy, doesn't appear after installation, has permission issues, or produces unexpected output. Trigger on any mention of forge logs, forge deploy errors, resolver errors, blank panels, missing scopes, Custom UI not rendering, production vs dev discrepancies, or any Jira/Confluence app that "stopped working". Also trigger when the user asks to debug, troubleshoot, investigate, or fix a Forge app issue — even if they haven't used the word "Forge" but describe a Jira panel or Confluence macro acting up.
Use this skill when you need a standardized Claude Code workflow toolkit. It covers claudekit plugin installation, init-wizard scaffolding for rules/modes/hooks/MCP, and safe operating guidance for team adoption.
Create and customize Syncfusion Angular TreeMap components for hierarchical data visualization. Use this skill when you need to implement a TreeMap, visualize hierarchical data structures, configure multi-level layouts, apply color mapping, enable drilldown navigation, add labels and tooltips, configure legends, handle selection and highlight, export to images or PDF, print, or customize internationalization and accessibility. Covers installation, data binding, layout types, levels, color mapping, labels, tooltips, legends, drilldown, interactivity, print/export, RTL, locale formatting, and accessibility.
Trae-optimized PUA high-agency governance skill for npx skills installation. Only activate it in scenarios such as explicit PUA requests, repeated task failures, user frustration, giving-up/passive behavior, or unverified task completion. Do not trigger it for normal first-attempt tasks.
Invoke this skill when the user asks how to USE the 10x-cli day-to-day — fetching lessons, listing modules, switching AI tools, troubleshooting errors, understanding where artifacts land, or working on a specific OS (Windows, Linux, macOS). Covers commands (get, list, doctor, auth --status/--logout), tool profiles, artifact locations, common errors, and platform-specific tips. Excludes: first-time installation and onboarding (use 10x-cli-setup instead), developing or contributing to 10x-cli source code, and general programming help.
This skill should be used when the user asks to "set up oodle integration", "onboard to oodle", "integrate kubernetes with oodle", "connect AWS to oodle", "install oodle collector", or mentions setting up observability with Oodle. Discovers the environment, recommends matching integrations from available setup specs, and executes step-by-step installation. Not for querying existing metrics, logs, or traces (use /oodle-metrics-query, /oodle-logs, /oodle-traces instead).
Set up shadcn/ui component library with Tailwind CSS v4 configuration. Handles installation, initialization, theme configuration, and common component setup. Use when starting a new Next.js/React project that needs a component library.
Manage Helm charts, releases, and repositories. Use for Helm installations, upgrades, rollbacks, chart development, and release management.
Guides users through distributing Tauri applications on Windows, including creating MSI and NSIS installers, customizing installer behavior, configuring WebView2 installation modes, and submitting apps to the Microsoft Store.
Build beautiful, accessible UIs with shadcn/ui components in Next.js. Use when creating forms, dialogs, tables, sidebars, or any UI components. Covers installation, component patterns, react-hook-form + Zod validation, and dark mode setup. NOT when building non-React applications or using different component libraries.
Java 25 features and patterns for Hytale plugin development. Covers modern Java syntax (records, sealed classes, pattern matching, virtual threads), JDK installation, and Hytale-specific Java conventions. Use when writing Java code for Hytale plugins or troubleshooting Java version issues.
Guidance for building Caffe from source and training CIFAR-10 models. This skill applies when tasks involve compiling Caffe deep learning framework, configuring Makefile.config, preparing CIFAR-10 dataset, or training CNN models with Caffe solvers. Use for legacy ML framework installation, LMDB dataset preparation, and CPU-only deep learning training tasks.