HelixAgent

Interactive onboarding workflow that interviews users to understand their coding goals and generates PR-ready implementation plans. Use when starting a new development task to ensure clear requirements and structured execution.

Implement security best practices for Gamma integration. Use when securing API keys, implementing access controls, or auditing Gamma security configuration. Trigger with phrases like "gamma security", "gamma API key security", "gamma secure", "gamma credentials", "gamma access control".

Write effective technical documentation including READMEs, API docs, architecture decisions, and inline code documentation.

Build and manage CI/CD pipelines with Azure DevOps. Configure builds, releases, and automate software delivery workflows.

Develop, deploy, and manage Azure Functions for serverless computing. Supports HTTP triggers, timers, queues, and event-driven architectures.

Manage Azure resources effectively using CLI, Portal, Bicep, and ARM templates. Use for provisioning, organizing, and maintaining cloud infrastructure.

Work with Azure Blob, Table, Queue, and File storage. Implement data persistence, message queuing, and file management solutions.

Build robust data pipelines for ETL, streaming, and batch processing. Orchestrate data movement between sources and destinations.

Implement comprehensive data validation, quality checks, and testing frameworks. Ensure data integrity and reliability across pipelines.

Optimize database queries, schemas, and configurations for performance. Analyze execution plans, index strategies, and tuning techniques.

Implement Extract, Transform, Load processes with best practices for data warehousing and analytics. Handle data quality, schema evolution, and performance.

Conduct effective code reviews that improve code quality, share knowledge, and maintain team standards. Focus on constructive feedback and learning.

Safely refactor code to improve structure, readability, and maintainability without changing behavior. Use proven techniques and patterns.

Design and implement comprehensive testing strategies covering unit, integration, and E2E tests. Maximize coverage and confidence.

Design and implement CI/CD pipelines for automated testing, building, and deployment. Support multiple platforms and deployment strategies.

Manage and respond to production incidents effectively. Establish on-call rotations, runbooks, and post-mortem processes.

Manage infrastructure using Terraform, CloudFormation, or Pulumi. Version control infrastructure, automate provisioning, and ensure consistency.

Implement observability with metrics, logs, and traces. Set up alerting, dashboards, and SLIs/SLOs for system reliability.

Implement web accessibility (a11y) best practices following WCAG guidelines. Ensure inclusive design for users with disabilities.

Optimize web application performance including loading, rendering, and interaction metrics. Improve Core Web Vitals and user experience.

Implement mobile-first responsive design using modern CSS techniques. Support various screen sizes and devices effectively.

Optimize web applications for search engines. Implement technical SEO, structured data, and performance optimizations for better rankings.

Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).

Comprehensive framework for effective gptme agent onboarding that builds user trust, communicates capabilities clearly, and establishes productive working relationships from the first interaction.

Systematic code review workflows with bundled utilities for analyzing code quality, detecting patterns, and providing structured feedback. Use this skill when reviewing pull requests or conducting code audits.

Analyze your gptme conversation history for insights like token usage, costs, model preferences, and usage patterns - inspired by Spotify Wrapped.

Guide to creating gptme plugins with tools, hooks, and commands.

Template and guide for restructuring large documentation files into token-efficient directory structures. Reduces context bloat by 40-60% while maintaining accessibility.

Interactive Python REPL automation with common helpers and best practices

Terminal session manager for AI coding agents. Use when user mentions "agent-deck", "session", "sub-agent", "MCP attach", or needs to (1) create/start/stop/restart/fork sessions, (2) attach/detach MCPs, (3) manage groups/profiles, (4) get session output, (5) configure agent-deck, (6) troubleshoot issues, or (7) launch sub-agents. Covers CLI commands, TUI shortcuts, config.toml options, and automation.

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations.

Install VT Code skills into $VTCODE_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).

Persist and retrieve repository-specific knowledge using AGENTS.md files. Use when you want to save important information about a codebase (build commands, code style, workflows) for future sessions.

Guided workflow for building custom AI agents using the OpenHands Software Agent SDK. Use when you want to create a new agent through an interactive interview process that gathers requirements and generates implementation plans.

Interact with Azure DevOps repositories, pull requests, and APIs using the AZURE_DEVOPS_TOKEN environment variable. Use when working with code hosted on Azure DevOps or managing Azure DevOps resources.

Interact with Bitbucket repositories and pull requests using the BITBUCKET_TOKEN environment variable. Use when working with code hosted on Bitbucket or managing Bitbucket resources via API.

Brutally honest code review in the style of Linus Torvalds, focusing on data structures, simplicity, and pragmatism. Use when you want critical, no-nonsense feedback that prioritizes engineering fundamentals over style preferences.

Structured code review covering style, readability, and security concerns with actionable feedback. Use when reviewing pull requests or merge requests to identify issues and suggest improvements.

Query and analyze Datadog logs, metrics, APM traces, and monitors using the Datadog API. Use when debugging production issues, monitoring application performance, or investigating alerts.

Run Docker commands within a container environment, including starting the Docker daemon and managing containers. Use when building, running, or managing Docker containers and images.