AI Skills for GitLab

Facilitates the execution of implementation plans with critical reviews and structured task management for effective project delivery.

Helps users find existing skills before creating new ones, ensuring efficient skill development and avoiding duplication.

Guides users through ECC's agents, skills, and commands by referencing live repository data for accurate onboarding and support.

Facilitates the extraction and distillation of cross-cutting principles from skills into actionable rules for improved governance.

Conducts comprehensive audits of source code across multiple languages, identifying dependencies and providing actionable insights.

Builds a tailored ECC install plan for repositories by sorting components into DAILY and LIBRARY buckets based on project needs.

Creates structured CodeTour files for guided code walkthroughs, enhancing onboarding and code review processes.

Enables delegation of coding tasks to OpenAI Codex CLI for efficient feature development, refactoring, and PR reviews.

Analyzes engineering metrics and team contributions for weekly retrospectives, enhancing team awareness and performance tracking.

Provides repo-specific guidance for managing cross-platform coding tasks and maintaining synchronization across multiple AI coding platforms.

Provides guidance on Git workflows, including best practices for commits, branches, and pull requests.

Provides production-grade test automation skills for various frameworks, enabling efficient test code generation and CI/CD integration.

This skill audits third-party AI agent skills for security risks, ensuring safe installations by detecting malicious patterns.

Squirrel automates the full-cycle software development process, adapting to project states for efficient planning, building, testing, and documentation.

Evaluates MCP servers and APIs for agent-readiness using Clarvia AEO, helping users select high-quality tools for their workflows.

Estimates AI-assisted development work using PERT statistics and feedback loops for accurate project planning.

Enables comprehensive load testing for APIs and browsers, helping to analyze performance and integrate with CI/CD pipelines.

Integrates with the Telegram Bot API for creating bots with features like messaging, webhooks, and inline keyboards using Node.js and Python.

Designs secure multi-stage CI/CD pipelines with approval gates and deployment strategies for efficient software delivery.

Facilitates secure secrets management for CI/CD pipelines using tools like Vault and AWS Secrets Manager to protect sensitive credentials.