Time Saved: 30 minutes - 1 hour debugging
原文の言語: 英語
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このリポジトリの skills
SkillsMP は fabioc-aloha/Alex_Skill_Mall から 379 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
fabioc-aloha/Alex_Skill_Mall収集済み skill 379 件中 40 件を表示しています。
Time Saved: 30 minutes - 1 hour debugging
原文の言語: 英語
Time saved: 2-4 hours per issue
原文の言語: 英語
Azure Verified Modules (AVM), Bicep best practices, and MCP-powered infrastructure as code for Azure
原文の言語: 英語
Design well-architected Azure cloud systems — 10 design principles, 6 architecture styles, 44 design patterns, technology choices, WAF pillars
原文の言語: 英語
Containerize an ASP.NET Core project by creating Dockerfile and .dockerfile files customized for the project.
原文の言語: 英語
Patterns for Microsoft Graph, Microsoft Entra ID, and enterprise feature integration in VS Code extensions
原文の言語: 英語
Microsoft Entra Agent ID (preview) — create OAuth2-capable AI agent identities via Microsoft Graph beta API
原文の言語: 英語
Import existing Azure resources into Terraform using Azure CLI discovery and Azure Verified Modules (AVM). Use when asked to reverse-engineer live Azure infrastructure, generate Infrastructure as Code from existing subscriptions/resource groups/resource IDs,…
原文の言語: 英語
Domain: DevOps & Cloud Engineering
原文の言語: 英語
Microsoft Fabric workspace management, governance, REST API patterns, and medallion architecture implementation
原文の言語: 英語
Comprehensive Microsoft Graph API reference for M365 service integration
原文の言語: 英語
Microsoft Authentication Library (MSAL) patterns for React/SPA applications with Entra ID
原文の言語: 英語
Time Saved: 1+ hour debugging silent auth failures
原文の言語: 英語
Create optimized multi-stage Dockerfiles for any language or framework
原文の言語: 英語
Full Teams app development patterns.
原文の言語: 英語
Update Azure Verified Modules (AVM) to latest versions in Bicep files.
原文の言語: 英語
Shared audit integrity framework for all AppSec agents — enforces output quality, intellectual honesty, and continuous improvement through anti-rationalization guards, self-critique loops, retry protocols, non-negotiable behaviors, self-reflection quality…
原文の言語: 英語
Use when a user asks to generate or improve unit tests with measurable coverage gains using a strict staged workflow (build -> baseline -> plan -> generate -> verify -> coverage delta). Trigger phrases: generate unit tests, improve coverage, write tests for…
原文の言語: 英語
Code-scanning regex that looks for literal strings misses real usage:
原文の言語: 英語
Systematic code review for correctness, security, and growth — not just style enforcement
原文の言語: 英語
Date comparisons at thresholds fail due to fractional days:
原文の言語: 英語
Adversarial code review with three parallel perspectives — Advocate, Skeptic, Architect — that create productive tension. Use for high-stakes PRs, architectural changes, or when single-pass review would miss issues. Surfaces findings through disagreement, not…
原文の言語: 英語
Systematic 5-dimension audit framework for VS Code extensions — debug hygiene, dead code, performance, menu validation, dependency cleanup
原文の言語: 英語
Plans without measurable success criteria drift into wishful thinking:
原文の言語: 英語
One-time audits don't track improvement:
原文の言語: 英語
When checking that all callers of a contract implement it correctly, you get false positives from wrapper delegators:
原文の言語: 英語
CPU, memory, network bottleneck analysis — systematic performance investigation
原文の言語: 英語
Python mock.patch must target the import location, not the definition location
原文の言語: 英語
Systematic code refactoring to improve maintainability without changing behavior. Use when asked to "refactor this", "clean up this code", "improve code quality", "simplify this", "reduce complexity", or "eliminate code smells". Always preserves existing…
原文の言語: 英語
Safe transformations — same behavior, better structure.
原文の言語: 英語
Evaluate a repository's readiness for AI-assisted development across 4 axes: code understanding, dependency restore, build success, and test execution. Use when onboarding to a new repo, assessing CI readiness, or validating that an AI agent can work…
原文の言語: 英語
Pattern-aware code scaffolding that detects existing conventions and generates new components matching the codebase style. Use when asked to "scaffold a component", "generate boilerplate", "create a new module", "bootstrap a service", "add a new endpoint",…
原文の言語: 英語
Deep structural analysis of a codebase—dependency mapping, architecture boundary detection, coupling/cohesion scoring, and dead code discovery. Use when asked to "analyze codebase structure", "map dependencies", "find dead code", "architecture analysis",…
原文の言語: 英語
Systematic technical debt inventory and prioritization. Use when asked to "find tech debt", "show me the TODOs", "how healthy is this codebase", "what should we fix first", "find code smells", "audit code quality", or "identify hotspots". Scans code markers,…
原文の言語: 英語
Safe terminal command patterns — backtick escaping, output capture, and hang prevention
原文の言語: 英語
Analyze test code quality to detect coverage-only tests, test smells, and low-value assertions. Use when asked to "analyze test quality", "find coverage-only tests", "audit our tests", "are these tests valuable", "find test smells", or "which tests should we…
原文の言語: 英語
When renaming a function, test files have references that survive find-and-replace:
原文の言語: 英語
Systematic testing for confidence without over-testing — the right test at the right level
原文の言語: 英語
Systematic project audit pattern — version consistency, terminology, fact inventory, cross-references
原文の言語: 英語
Visual output that passes static checks can still fail to render:
原文の言語: 英語