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model-selection AI Agent Skill
View Source: melodic-software/claude-code-plugins
SafeInstallation
npx skills add melodic-software/claude-code-plugins --skill model-selection 15
Installs
Claude Code Plugins
Plugins for Claude Code: documentation management, code quality, and ecosystem support.
Prerequisites
- Claude Code installed
- Python 3.13+ (for spaCy-based operations)
- Node.js 18+ (for markdown linting)
Development Setup
Node.js Version Manager (fnm)
fnm (Fast Node Manager) is the recommended Node.js version manager for this project. It:
- Works natively in Git Bash (unlike nvm-windows which has known issues)
- Is significantly faster than nvm-windows (Rust-based)
- Has cross-platform consistency (Windows/macOS/Linux)
Install fnm:
# Windows (PowerShell as Admin)
winget install Schniz.fnm
# macOS/Linux
curl -fsSL https://fnm.vercel.app/install | bashConfigure for Git Bash (add to ~/.bashrc):
eval "$(fnm env --use-on-cd --shell bash)"Or source the setup script which includes fnm initialization:
source "/path/to/claude-code-plugins/setup/bashrc-claude.sh"Install Node:
fnm install 24
fnm default 24Install Dependencies
npm installRun Markdown Linting
npm run lint:md # Check for errors
npm run lint:md:fix # Auto-fix errorsCI
Markdown linting runs automatically on PRs via GitHub Actions. The same rules apply locally and in CI.
Installation
/plugin install claude-ecosystem@claude-code-plugins
/plugin install code-quality@claude-code-plugins
/plugin install google-ecosystem@claude-code-pluginsCodex CLI Configuration
This repo expects Codex CLI configuration to live in user scope under ~/.codex.
See .codex/README.md for the canonical locations.
Plugins
| Plugin | Purpose |
|---|---|
| atlassian | Atlassian MCP server: Jira, Confluence, Compass integration |
| browser-automation | Browser automation MCP servers: Chrome DevTools, Playwright |
| business-analysis | BABOK techniques: capability mapping, stakeholder analysis, value streams, journey mapping |
| ci-cd | CI/CD pipelines: GitHub Actions, deployment automation, release management |
| claude-code-observability | Event logging, metrics, session diagnostics |
| claude-ecosystem | Claude Code docs, meta-skills, hooks, observability, auditors |
| code-quality | Code review, markdown linting, debugging, CI/CD templates |
| compliance-planning | Regulatory compliance: GDPR, HIPAA, PCI-DSS, AI governance, ISO 27001 |
| content-management-system | Headless CMS architecture: content modeling, taxonomies, media, theming |
| cursor-ecosystem | Cursor IDE docs, CLI, agent, keyword-based search |
| documentation-standards | Technical docs: arc42, C4 model, ADRs, RFC process, docs-as-code |
| dotnet | .NET 10+ automation: build, clean, SDK/tool install, version upgrades, Aspire MCP |
| duende-ecosystem | Duende IdentityServer, BFF, IdentityModel docs |
| enterprise-architecture | TOGAF, Zachman, ADRs, cloud alignment |
| event-modeling | Event-driven design: Event Modeling, Event Storming, CQRS, sagas |
| figma | Figma MCP server: design context, code generation, design tokens |
| formal-specification | Formal methods: UML/SysML, TLA+, OpenAPI/AsyncAPI, state machines |
| git | Git config, GPG signing, hooks, GitHub issues, history exploration |
| google-ecosystem | Gemini CLI docs, Claude-to-Gemini integration, configuration management |
| melodic-software | Developer onboarding, environment setup, commit workflows |
| microsoft | Microsoft MCP servers: Microsoft Learn, Azure, NuGet, Azure DevOps |
| milan-jovanovic | Milan Jovanovic .NET patterns: Clean Architecture, DDD, CQRS, EF Core |
| openai-ecosystem | OpenAI Codex CLI docs |
| requirements-elicitation | Requirements gathering: LLMREI interviews, gap analysis, prioritization |
| research | Research workflows: MCP integration, multi-source synthesis, structured output |
| response-quality | Response quality standards, source citations |
| security | Security: OWASP, authentication, cryptography, DevSecOps, threat modeling, 12 skills |
| soft-skills | Career progression, interviews, communication, professional visibility |
| spec-driven-development | Spec Kit workflow: EARS, Gherkin, Kiro, ADRs, User Stories |
| systems-design | Scalability, distributed systems, quality attributes |
| tac | Tactical Agentic Coding: multi-agent workflows, prompt engineering, ADW |
| team-design | Team structure: Team Topologies, cognitive load, inverse Conway |
| test-strategy | Test planning: test pyramid, test case design, automation ROI |
| visualization | Diagrams-as-code (Mermaid, PlantUML) |
| wardley-mapping | Strategic positioning: value chain visualization, evolution analysis |
| windows-diagnostics | Windows system diagnostics, troubleshooting |
Removed Plugins (v2.0 Consolidation)
The following plugins were removed because they primarily wrapped published standards that can be researched on-demand via MCP servers (perplexity, context7, microsoft-learn):
| Removed Plugin | Methodology | MCP Alternative |
|---|---|---|
| ai-ml-planning | CRISP-DM, NIST AI RMF | perplexity for methodology, Claude generates templates |
| data-architecture | Kimball, Data Vault | perplexity for patterns, microsoft-learn for Azure Data |
| estimation-planning | Monte Carlo, FMEA | perplexity for technique, Claude calculates |
| observability-planning | SLO/SLI patterns | perplexity for observability patterns |
| product-discovery | Design Thinking, Lean Startup | perplexity for methodology, templates on-demand |
| quality-attributes | ISO 25010 | perplexity for ISO 25010 model |
| saas-patterns | Multi-tenancy, Stripe billing | perplexity for architecture, context7 for Stripe docs |
| ux-research | SUS, Nielsen heuristics, WCAG | perplexity for standards, checklists on-demand |
Usage: Instead of these plugins, ask Claude directly: "Help me design X using [methodology]" and Claude will research via MCP and generate equivalent guidance.
Usage
List available skills (includes commands):
/claude-ecosystem:list skillsArchitecture
- Pure delegation: Skills delegate to
docs-managementfor official docs - Progressive disclosure: Content loads on-demand to optimize tokens
See individual plugin READMEs for details.
License
MIT - see LICENSE
Installs
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How to use this skill
Install model-selection by running npx skills add melodic-software/claude-code-plugins --skill model-selection in your project directory. Run the install command above in your project directory. The skill file will be downloaded from GitHub and placed in your project.
No configuration needed. Your AI agent (Claude Code, Cursor, Windsurf, etc.) automatically detects installed skills and uses them as context when generating code.
The skill enhances your agent's understanding of model-selection, helping it follow established patterns, avoid common mistakes, and produce production-ready output.
What you get
Skills are plain-text instruction files — not executable code. They encode expert knowledge about frameworks, languages, or tools that your AI agent reads to improve its output. This means zero runtime overhead, no dependency conflicts, and full transparency: you can read and review every instruction before installing.
Compatibility
This skill works with any AI coding agent that supports the skills.sh format, including Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider, and other tools that read project-level context files. Skills are framework-agnostic at the transport level — the content inside determines which language or framework it applies to.
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