name	m-skills-collection
description	A comprehensive collection of Agent Skills for software engineering, database operations, and productivity automation. Use when building, optimizing, or debugging software systems with AI assistance.

M Skills Collection

This collection provides structured guidance for software engineering, database operations, browser automation, and development productivity through specialized agent skills.

When to Activate

Activate these skills when:

Reviewing or writing code
Querying enterprise databases (Maximo, AX, Fabric)
Automating git workflows and CI/CD
Generating tests or documentation
Planning implementations or architectural decisions
Extracting data from web pages
Managing context across IDE sessions

Skill Map

Code Quality & Development

Code Review (code-review) Expert code review covering security, performance, maintainability, and language-specific best practices. Ensures high-quality output through systematic verification.

Refactor Suggest (refactor-suggest) Clean code advisor identifying code smells and proposing modern design patterns. Transforms technical debt into maintainable code.

API Test Generator (api-test-gen) Generates API testing templates and patterns for REST APIs including unit tests, integration tests, and framework-specific patterns.

Git & Version Control

Git Smart Commit (git-smart-commit) Generates conventional commit messages by analyzing staged changes. Ensures consistent git history following conventional commits specification.

PR Summary (pr-summary) Creates comprehensive Pull Request summaries giving reviewers all context needed for efficient review and approval.

Daily Standup (daily-standup) Generates concise standup reports from git activity and GitHub PRs. Synthesizes accomplishments, plans, and blockers.

Database Operations

Database Query Guide (database-query-guide) Comprehensive MSSQL server routing and query best practices. Ensures correct server selection and prevents data fabrication.

Maximo Helper (maximo-helper) Maximo database templates for work orders, assets, inventory, and labor. Includes mandatory site filtering.

AX Dynamics Helper (ax-dynamics-helper) Dynamics AX templates for ERP data including financials, inventory, sales, and purchasing with DATAAREAID filtering.

SQL Analyzer (sql-analyzer) Advanced SQL analysis and optimization including performance recommendations, index suggestions, and anti-pattern detection.

Fabric Helper (fabric-helper) Microsoft Fabric reference for Lakehouse and Warehouse queries including Spark SQL and Delta Lake operations.

Project Setup & DevOps

Project Scaffold (project-scaffold) Project structure templates for Next.js, React, Node.js, and other modern frameworks with production-ready configuration.

Dockerfile Generator (dockerfile-generator) Multi-stage Dockerfile templates optimized for security, size, and build efficiency.

GitHub Actions (github-actions) CI/CD workflow templates for automated builds, tests, and deployments with security best practices.

Planning & Documentation

Implementation Plan (implementation-plan) Machine-readable implementation plans with requirements, phases, tasks, and definitions of done.

ADR Generator (adr-generator) Architectural Decision Records capturing context, rationale, and consequences of technical decisions.

Browser & Memory

Chrome Data Extract (chrome-data-extract) Browser automation patterns for data extraction using MCP browser tools including navigation, selection, and verification.

Cipher Memory (cipher-memory) Universal memory integration for persisting context, decisions, and learnings across IDE sessions.

Core Concepts

The collection is organized around three themes:

Development Quality: Skills for writing, reviewing, and testing code (code-review, refactor-suggest, api-test-gen)
Data Operations: Skills for database queries and data extraction (database-query-guide, maximo-helper, ax-dynamics-helper, sql-analyzer, fabric-helper, chrome-data-extract)
Workflow Automation: Skills for git, CI/CD, and productivity (git-smart-commit, pr-summary, daily-standup, github-actions, dockerfile-generator)

Practical Guidance

Each skill can be used independently or in combination. Skills reference each other through integration sections. For complex tasks, combine multiple skills:

Feature Development: implementation-plan → code-review → api-test-gen → git-smart-commit → pr-summary
Database Analysis: database-query-guide → maximo-helper/ax-dynamics-helper → sql-analyzer
Project Setup: project-scaffold → dockerfile-generator → github-actions

Integration

All skills integrate with Cipher Memory for cross-session persistence. Skills within the same domain (database, git, code) reference each other for comprehensive coverage.

References

Internal skills in this collection:

External resources:

Agent Skills for Context Engineering repository
MCP Gateway documentation
Claude Code documentation

Skill Metadata

Created: 2025-12-19 Last Updated: 2025-12-22 Author: Abdullah Version: 2.0.0

name	m-skills-collection
description	A comprehensive collection of Agent Skills for software engineering, database operations, and productivity automation. Use when building, optimizing, or debugging software systems with AI assistance.