iMessage channel for Claude Code — reads chat.db directly, sends via AppleScript. Built-in access control; manage pairing, allowlists, and policy via /imessage:access.
Manage iMessage channel access — approve pairings, edit allowlists, set DM/group policy. Use when the user asks to pair, approve someone, check who's allowed, or change policy for the iMessage channel.
Check iMessage channel setup and review access policy. Use when the user asks to configure iMessage, asks "how do I set this up" or "who can reach me," or wants to know why texts aren't reaching the assistant.
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.
Admin access level
Server config contains admin-level keywords
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npx claudepluginhub ai-integr8tor/anthropics-claude-plugins-official --plugin imessageGive your AI a memory — mine projects and conversations into a searchable palace. 35 MCP tools, auto-save hooks, and guided setup.
MCP server that saves 98% of your context window with session continuity. Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, and automatic state restore across compactions.
Write SQL, explore datasets, and generate insights faster. Build visualizations and dashboards, and turn raw data into clear stories for stakeholders.
Open-source, local-first Claude Code plugin for token reduction, context compression, and cost optimization using hybrid RAG retrieval (BM25 + vector search), reranking, AST-aware chunking, and compact context packets.
Agent Skills for AI/ML tasks including dataset creation, model training, evaluation, and research paper publishing on Hugging Face Hub
Intelligent draw.io diagramming plugin with AI-powered diagram generation, multi-platform embedding (GitHub, Confluence, Azure DevOps, Notion, Teams, Harness), conditional formatting, live data binding, and MCP server integration for programmatic diagram creation and management.
Conversation-handoff document generator. Compacts the current conversation into a markdown handoff so a fresh agent can continue. References existing artifacts (PRDs, plans, ADRs, issues, commits) by path/URL — does not duplicate them. Enhanced from Matt Pocock's MIT-licensed handoff skill (https://github.com/mattpocock/skills) with: (1) stdlib Python tools (template generator, artifact deduplicator, skill recommender), (2) 3 reference docs citing 5+ authoritative sources each (handoff structure, deduplication discipline, next-session skill matching), (3) cs-handoff-author persona agent + /cs:handoff slash command. Matt's no-duplication discipline preserved verbatim per MIT. Use when user wants to hand off the current conversation to a fresh agent or starts a new session that picks up prior work.
Easily create hooks to prevent unwanted behaviors by analyzing conversation patterns
Default entry point for any research request — a hybrid router that classifies the question deterministically and either delegates to a specialist research skill (pulse for trends/sentiment, grants for NIH funding, litreview for academic literature, syllabus for course reading, patent for prior-art + IP landscape, dossier for entity research) or runs its own plan-decompose-multi-source-search-synthesize-cite fallback workflow when no specialist matches. Always surfaces the routing decision so users can override. Triggers: 'research [topic]', 'look into [topic]', 'what do we know about [topic]', 'investigate [topic]', 'find me information on [topic]', 'do some research on [topic]', 'I need to understand [topic]', or any research request that doesn't obviously match a more-specific specialist skill. Output is a markdown briefing (default) or .docx document (on request) with full citations and an audit log.
Audit datasets for completeness, consistency, accuracy, and validity. 3 stdlib-only Python tools: data profiler with DQS scoring, missing value analyzer with MCAR/MAR/MNAR classification, and multi-method outlier detector.
EU AI Act (Regulation (EU) 2024/1689) operational compliance specialist for compliance teams. Three deterministic tools: AI system risk classifier (Article 5 prohibited / Article 6 + Annex III high-risk / Article 50 limited-risk / minimal-risk per the binding regulation), conformity assessment planner (Article 43 Module A vs Module H + notified-body routing + Annex IV technical documentation checklist), obligation tracker (provider/deployer/importer/distributor obligations matrix per Title III Chapter 3 + GPAI obligations per Articles 51-55). 4 in-depth references: Titles I-XII Article-by-Article walkthrough, Annex III 8 high-risk categories with Article 6(2) carve-outs, GPAI obligations including systemic-risk threshold, cross-framework mapping to ISO 42001 + NIST AI RMF + GDPR. Stdlib-only. Built for compliance officers executing Article-level conformity work — not for executive AI strategy (see chief-ai-officer-advisor for that).