AI Skills

Generate ASCII art diagrams from PlantUML text syntax for terminal-friendly documentation.

Turn rough ideas into approved, decision-complete plans before coding.

XUnit best practices for C# unit testing, including data-driven tests and test organization.

Upgrade React apps to latest versions, migrate class components to hooks, and adopt concurrent features.

Power BI semantic modeling assistant for building optimized data models with DAX, relationships, and best practices.

Human-in-the-loop approval and custom middleware for LangChain agents with structured output support.

Budget-aware agent health audit for instruction drift, hooks, MCP, verifiers, and AI maintainability.

Generate a map of all files relevant to a task before making changes

Best practices for building Spring Boot applications with Kotlin.

Web search, content extraction, site crawling, and deep research via Tavily CLI.

Generate comprehensive rollout plans with preflight checks, deployment steps, verification signals, and rollback procedures for infrastructure and application changes

Generate coding standards documents by analyzing your project's existing code style and syntax patterns.

Interactive prompt refinement workflow that clarifies scope, deliverables, and constraints—copies final markdown to clipboard.

Process and manipulate images using ImageMagick with resizing, format conversion, and batch operations.

Multi-dimensional code review across correctness, readability, architecture, security, and performance before any merge.

Create modern Angular v20+ standalone components with signals, OnPush detection, and accessibility built-in.

Find the least-privilege Azure role for any permission requirement and apply it.

Governance, safety, and trust controls for AI agent systems with tool access.

Create distributable Python packages with proper structure, metadata, and PyPI publishing.

Framework for building multi-step AI agents with built-in planning, memory, and skill management

Analyzes git changes and automatically creates Git Flow branches with semantic naming.

Write PRODUCT.md and TECH.md specs before implementation to drive clarity and quality for substantial features.

Generate comprehensive README.md by analyzing project documentation structure and Copilot instructions.

Embed Copilot's agentic workflows in Python, TypeScript, Go, or .NET applications.

Generate a Spring Boot 3.4.5 project skeleton with PostgreSQL, Redis, MongoDB, and Docker Compose pre-configured.

Write detailed PRODUCT.md specs for significant Warp features, focused on user-visible behavior and invariants.

Review pull request diffs and write structured feedback to review.json for workflow publication.

Rewrite prose to sound human: remove AI tone, polish copy, and localize across Chinese and English.

Extract conflict hunks and compact diffs to resolve Git merge conflicts without loading full files.

Write a TECH.md spec translating product intent into an implementation plan grounded in codebase structure.