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Found 5,118 Skills
GitHub Project health dashboard. Shows workflow distribution, component health, team workload, items needing attention, and available views.
Technical checklist for backend PR self-review (NestJS/TypeScript) — B1–B21 static analysis + G1–G16 design patterns. Use when you want to run a checklist against a PR or piece of code. For the full review workflow with GitHub posting and Notion integration, use pr-review.
Static analysis checklist for backend PRs (NestJS/TypeScript) — B1–B21 runtime bugs, logic errors, silent failures, test correctness. Use when you want to check for bugs only. For the full review workflow, use pr-review.
Frontend PR checklist for React, Next.js, Vue.js, Tailwind CSS, and React Query (F1–F16). Use when user says "frontend review", "review my React/Vue PR", "check my UI code", working in a frontend repo, or when the diff contains .tsx/.vue/.css files. For the full review workflow, use pr-review.
Implement the Syncfusion Angular Inline AI Assist component for AI-powered text processing and editing. Use this skill when user needs to add AI-powered suggestions, create prompt/response workflows, customize toolbars and commands, handle AI responses, configure templates, implement event handling, or add localization to Angular applications with intelligent inline text editing capabilities. Covers installation, configuration, response modes, command settings, toolbar customization, template usage, event handling, methods, and RTL/localization support.
Implements Syncfusion WPF Smart Text Editor (SfSmartTextEditor), an AI-powered multiline input control with intelligent text completion. Use this when implementing smart text editors, AI-powered text input, or predictive text suggestions in WPF applications. The control provides context-aware typing assistance through integration with AI services including Azure OpenAI, OpenAI, Ollama, Claude, Gemini, Groq, and DeepSeek. Features include dual suggestion display modes (inline/popup), custom phrase libraries for offline suggestions, full text customization, and comprehensive command handling for workflow integration.
Use this skill when a user asks how to generate, integrate, or implement a Word‑like document editor in WPF using Syncfusion. Trigger it for requests involving the Syncfusion WPF Document Editor, WPF‑based editor integration, document editing and formatting, comments, working with tables and images, managing headers and footers, applying document protection, and building end‑to‑end document workflows in WPF applications.
Use this skill when a user asks how to generate, integrate, or implement a Word‑like document editor in React using Syncfusion. Trigger it for requests involving the Syncfusion React Document Editor, React‑based editor integration, document editing and formatting, comments and track changes, working with tables and images, managing headers and footers, applying document protection, and building end‑to‑end document workflows in React applications.
Use this skill when a user asks how to generate, integrate, or implement a Word‑like document editor in Blazor using Syncfusion. Trigger it for requests involving the Syncfusion Blazor Document Editor, Blazor‑based integration, document editing and formatting, comments and track changes, working with tables and images, managing headers and footers, applying document protection, and building end‑to‑end document workflows in Blazor applications.
Use this skill when a user asks how to generate, integrate, or implement a Word‑like document editor in Angular using Syncfusion. Trigger it for requests involving the Syncfusion Angular Document Editor, Angular‑based editor integration, document editing and formatting, comments and track changes, working with tables and images, managing headers and footers, applying document protection, and building end‑to‑end document workflows in Angular applications.
Multi-agent systems with LangGraph - supervisor/swarm/handoff/router patterns, state coordination, Deep Agents, guardrails, testing, observability, deployment. Use when building multi-agent workflows, coordinating agents, or need cost-optimized orchestration. Uses Claude, DeepSeek, Gemini (no OpenAI).
Exploratory Data Analysis skill for CSV and parquet datasets with deterministic profiling, drift/anomaly scans, contract generation and validation, and optional memory writeback into skill-system-memory. The implementation is Polars-first (lazy scan for large files and early `--sample` head), includes high-cardinality guards for profile/importance/contract flows, and supports categorical correlation with Cramer's V. Use when building or reviewing tabular fraud/risk/data-quality workflows, profiling new datasets, checking leakage or drift, or saving/validating data contracts.