Modernize legacy codebases (COBOL, legacy Java/C++/.NET, monolith web apps) with a structured preflight / assess / map / extract-rules / brief / (reimagine | transform | uplift) / harden / status workflow. Cross-stack rewrites, greenfield reimagining, and same-stack version uplifts (e.g. .NET Framework → .NET 8); an interactive topology viewer; specialist agents; and optional dynamic-workflow orchestration with adversarial verification.
Uses power tools
Uses Bash, Write, or Edit tools
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Full discovery & portfolio analysis of a legacy system — inventory, complexity, debt, relative scale
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.
Scaffolds one service of a reimagined system from the approved architecture and spec — project skeleton, domain model, API stubs, executable acceptance tests. Write access is scoped to its own service directory under modernized/.
Adversarial security reviewer — OWASP Top 10, CWE, dependency CVEs, secrets, injection. Use for security debt scanning and pre-modernization hardening.
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
The name field in a marketplace entry is an immutable slug. Once a plugin has been published, its name must not change — users have it installed under that slug, and renaming it breaks their install with a plugin-not-found error.
displayName instead.renames map in .claude-plugin/marketplace.json so existing installs auto-migrate:"renames": {
"old-name": "new-name"
}
The Claude Code plugin loader reads this map and transparently rewrites the old slug to the new one on the user's next sync.
When a plugin's source repository ships skills (SKILL.md files) without a .claude-plugin/plugin.json manifest, the marketplace entry can declare the skills directly using strict: false and an explicit skills array.
{
"name": "example-bundle",
"description": "Brief description of the bundled skills.",
"author": { "name": "Author Name" },
"category": "development",
"source": {
"source": "git-subdir",
"url": "https://github.com/example-org/sdk.git",
"path": "packages/agent-skills",
"ref": "main",
"sha": "<commit sha>"
},
"strict": false,
"skills": [
"./skill-a",
"./skill-b",
"./skill-c"
],
"homepage": "https://github.com/example-org/sdk"
}
Each path in skills is relative to source.path and points at a directory containing a SKILL.md. Paths can reach deeper than a single level — for example, ["./libA/skill-1", "./libB/skill-2"] exposes a curated subset across multiple library subdirectories. Each skill is registered as <plugin-name>:<skill-name> in Claude Code.
For the underlying schema, see Strict mode in the marketplace 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 haroldhuanrongliu/claude-plugins-official --plugin code-modernizationProduction-grade academic research pipeline for Claude Code: research → write → review → revise → finalize. 4 skills, 27 modes, 39-agent ensemble, v3.7.3 + v3.8 L3 claim-faithfulness gate, v3.9.0 cross-index triangulation, v3.10 triangulation policy layer, v3.11 deterministic citation verification gate (#182).
Workflow-builder skill: design and write deterministic multi-agent workflow scripts (.js files in .claude/workflows/) for Claude Code's Workflow tool (CLAUDE_CODE_WORKFLOWS=1, /workflows). Every session opens with an intake question set; when the user is vague, a stdlib recommendation engine infers and proposes a topology with rationale instead of stalling. Ships 3 stdlib Python tools (intake recommendation engine, .js validator enforcing the pure-literal-meta / no-non-determinism / guarded-loop / parallel-thunk rules, topology scaffolder), 3 references citing 7-8 authoritative sources each (full API surface, orchestration patterns, decision + intake guide), templates + a runnable example, cs-workflow-architect persona agent + /cs:workflow-build slash command. Use when building, scaffolding, or running a custom Claude Code workflow or orchestrating sub-agents (fan-out, pipeline, loop, judge-panel).
Generates a curated supplementary reading list from any course syllabus using Consensus academic search. Grill-me intake (syllabus input format + course audience + year range) plus a grouping forcing-options checkpoint before any search runs — so the reading list matches the course's level and recency need. Parses the syllabus to extract topics and learning outcomes, searches Consensus for recent peer-reviewed papers per topic, and produces a professionally formatted .docx with clickable Consensus links, plain-language summaries calibrated to audience level, and Bloom-higher-order discussion questions tied to course learning goals. Triggers whenever a user uploads a syllabus, course outline, or curriculum document and wants supplementary readings. Also triggers on: 'syllabus reading list', 'find papers for my course', 'create a reading list from this syllabus', 'recent research for my class', 'supplementary readings', 'find journal articles for these topics', 'what recent papers cover this material', 'any new research on these course topics', 'update my syllabus with recent papers'. Even casual mentions when a syllabus is attached should trigger this skill.
End-to-end SLO/SLI/error-budget discipline per Google SRE Workbook. Ships SLO designer (refuses to render without required fields), error-budget calculator with multi-window burn-rate alert thresholds (PromQL-shaped), and SLO reviewer that catches the 7 common bugs (target too high, window too short, no SLI definition, CPU-as-SLI, etc.). 4 references on principles + SLI design + error budget math + composition with feature-flags-architect/chaos-engineering/kubernetes-operator. Asset templates for SLO YAML and error budget policy. /slo-design slash command. NOT a generic observability skill.
A disciplined coding pipeline that grounds code in verified structure before a line is written: Discuss -> Map -> Decompose -> Execute -> Verify, with a lazy-senior-dev YAGNI ladder that deletes unnecessary code first. No invented APIs, no assumed imports, no placeholder code. Opt-in for high-stakes, complex, or multi-file work; not for trivial edits. Synthesizes four MIT/open-source projects (Ralph, GSD Core, Graphify, Ponytail).
Harness-native ECC plugin for engineering teams - 67 agents, 278 skills, 94 legacy command shims, reusable hooks, rules, MCP conventions, and operator workflows for Claude Code plus adjacent agent harnesses
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
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.