By PacerAI
Modernize legacy codebases (COBOL, legacy Java/C++, monolith web apps) with a structured assess → map → extract-rules → brief → reimagine/transform → harden workflow and specialist review agents
Full discovery & portfolio analysis of a legacy system — inventory, complexity, debt, effort estimation
Generate a phased Modernization Brief — the approved plan that transformation agents will execute against
Mine business logic from legacy code into testable, human-readable rule specifications
Security vulnerability scan with a reviewable remediation patch — OWASP, CWE, CVE, secrets, injection
Dependency & topology mapping — call graphs, data lineage, batch flows, rendered as navigable diagrams
Reviews proposed target architectures and transformed code against modern best practice. Adversarial — looks for over-engineering, missed requirements, and simpler alternatives.
Mines domain logic, calculations, validations, and policies from legacy code into testable Given/When/Then specifications. Use when you need to separate "what the business requires" from "how the old code happened to implement it."
Deep-reads legacy codebases (COBOL, Java, .NET, Node, anything) to build structural and behavioral understanding. Use for discovery, dependency mapping, dead-code detection, and "what does this system actually do" questions.
Adversarial security reviewer — OWASP Top 10, CWE, dependency CVEs, secrets, injection. Use for security debt scanning and pre-modernization hardening.
Writes characterization, contract, and equivalence tests that pin down legacy behavior so transformation can be proven correct. Use before any rewrite.
Uses power tools
Uses Bash, Write, or Edit tools
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A curated directory of high-quality plugins for Claude Code.
⚠️ Important: Make sure you trust a plugin before installing, updating, or using it. Anthropic does not control what MCP servers, files, or other software are included in plugins and cannot verify that they will work as intended or that they won't change. See each plugin's homepage for more information.
/plugins - Internal plugins developed and maintained by Anthropic/external_plugins - Third-party plugins from partners and the communityPlugins can be installed directly from this marketplace via Claude Code's plugin system.
To install, run /plugin install {plugin-name}@claude-plugins-official
or browse for the plugin in /plugin > Discover
Internal plugins are developed by Anthropic team members. See /plugins/example-plugin for a reference implementation.
Third-party partners can submit plugins for inclusion in the marketplace. External plugins must meet quality and security standards for approval. To submit a new plugin, use the plugin directory submission form.
Each plugin follows a standard structure:
plugin-name/
├── .claude-plugin/
│ └── plugin.json # Plugin metadata (required)
├── .mcp.json # MCP server configuration (optional)
├── commands/ # Slash commands (optional)
├── agents/ # Agent definitions (optional)
├── skills/ # Skill definitions (optional)
└── README.md # Documentation
Please see each linked plugin for the relevant LICENSE file.
For more information on developing Claude Code plugins, see the official documentation.
npx claudepluginhub p/pacerai-code-modernization-plugins-code-modernizationAdds educational insights about implementation choices and codebase patterns (mimics the deprecated Explanatory output style)
Interactive learning mode that requests meaningful code contributions at decision points (mimics the unshipped Learning output style)
Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification
Plugin development toolkit with skills for creating agents, commands, hooks, MCP integrations, and comprehensive plugin structure guidance
Skills for designing and building MCP servers that work seamlessly with Claude — guides you through deployment models (remote HTTP, MCPB, local), tool design patterns, auth, and interactive MCP apps.
The Claude Code knowledge system — 380+ skills, 182+ agents, 100+ commands, 40 hooks, 32 rules, and workflows.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok CLIs when installed) to get diverse perspectives on coding problems
Comprehensive C4 architecture documentation workflow with bottom-up code analysis, component synthesis, container mapping, and context diagram generation
A growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.