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Skills IA devops architecture patterns

Découvrez les skills devops architecture patterns, comparez leurs dépôts et consultez leurs instructions.

Catégories: devops architecture patterns

3,217–3,240 sur 6,618

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GitHub

moai-alfred-practices

AJBcoding

Enterprise practical workflows, context engineering strategies, JIT (Just-In-Time) retrieval optimization, real-world execution examples, debugging patterns, and moai-adk workflow mastery; activates for workflo...

GitHub

moai-cc-mcp-builder

AJBcoding

AI-powered enterprise MCP (Model Context Protocol) server development orchestrator with Context7 integration, intelligent code generation, automated architecture design, and enterprise-grade server deployment p...

GitHub

moai-security-api

AJBcoding

Comprehensive API security for REST, GraphQL, and gRPC services with OAuth 2.1 authentication, JWT validation, rate limiting, and enterprise protection patterns.

GitHub

moai-foundation-ears

AJBcoding

Enterprise EARS (Evaluate, Analyze, Recommend, Synthesize) Framework with AI-powered requirements engineering, Context7 integration, and intelligent solution orchestration for systematic problem-solving

GitHub

moai-alfred-rules

AJBcoding

Alfred SuperAgent의 필수 규칙을 정의합니다. November 2025 enterprise standard 기반. 3-Layer architecture, 4-Step workflow, Agent-first paradigm, Skill invocation rules, AskUserQuestion patterns, TRUST 5 quality...

GitHub

moai-cc-memory

AJBcoding

Claude Code memory management, context persistence, and knowledge retention. Use when managing session memory, persisting context, or optimizing knowledge retention.

GitHub

moai-cc-configuration

AJBcoding

Enterprise Configuration Management with AI-powered settings architecture, Context7 integration, and intelligent configuration orchestration for scalable applications

GitHub

spec-driven-development

brightdata

Generate comprehensive specifications for software projects using spec-driven development methodology. Leverages Bright Data MCP tools to research documentation, analyze competitor implementations, gather real-...

GitHub

bd-issue-tracking

kenklabnik

Track complex, multi-session work with dependency graphs using bd (beads) issue tracker. Use when work spans multiple sessions, has complex dependencies, or requires persistent context across compaction cycles....

GitHub

feature-orchestrator

WomenDefiningAI

Research-backed feature implementation workflow enforcing gap analysis, incremental planning, agent coordination, and continuous integration best practices. Auto-invoked for ALL feature implementation requests...

GitHub

hummbl-framework

hummbl-dev

Complete HUMMBL Base120 mental models framework with all 120 models across 6 transformations (Perspective, Inversion, Composition, Decomposition, Recursion, Meta-Systems). Includes model selection guidance, app...

GitHub

transformation-workflow

hummbl-dev

Practical application guide for HUMMBL's 6 transformations (Perspective, Inversion, Composition, Decomposition, Recursion, Meta-Systems). Includes when to use each transformation, combination patterns, analysis...

GitHub

oracle

trancong12102

This skill should be used when the user asks to 'ask the oracle', 'use the oracle', 'get a second opinion', 'consult oracle', 'deep analysis', or when facing difficult bugs, reviewing critical code, designing c...

GitHub

simple-mode

wtthornton

Simple Mode - Natural language orchestrator for TappsCodingAgents. Coordinates multiple skills (@enhancer, @planner, @architect, @designer, @implementer, @reviewer, @tester, @debugger, @improver) based on user...

GitHub

gsd

ctsstc

Get Shit Done (GSD) - A comprehensive project management system for solo developers using Claude agents

GitHub

dialogue-create-adr

pidster

Creates Architecture Decision Records for significant architectural decisions. Use when the user wants to create an ADR, make an ADR, record an architecture decision, document architecture choice, perform forma...

GitHub

implement

thoreinstein

Full implementation mode - end-to-end feature implementation with phased execution, parallel work streams, verification gates, and atomic commits per phase

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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