A collection of Claude Code plugins for power users who want to extend Claude Code's capabilities beyond the defaults.
- Quick Start
- Available Plugins
- Plugin Details
- agent-council - Get consensus from multiple AI models
- clarify - Transform vague requirements into specs
- dev - Community scanning + technical decision-making
- interactive-review - Review plans with a web UI
- say-summary - Hear responses via text-to-speech
- youtube-digest - Summarize and quiz on YouTube videos
- google-calendar - Multi-account calendar integration
- session-wrap - Session wrap-up + history analysis toolkit
- Contributing
- License
# Add this marketplace to Claude Code
/plugin marketplace add team-attention/plugins-for-claude-natives
# Install any plugin
/plugin install <plugin-name>| Plugin | Description |
|---|---|
| agent-council | Collect and synthesize opinions from multiple AI agents (Gemini, GPT, Codex) |
| clarify | Transform vague requirements into precise specifications through iterative questioning |
| dev | Developer workflow: community opinion scanning and technical decision analysis |
| interactive-review | Interactive markdown review with web UI for visual plan/document approval |
| say-summary | Speaks a short summary of Claude's response using macOS TTS (Korean/English) |
| youtube-digest | Summarize YouTube videos with transcript, insights, Korean translation, and quizzes |
| google-calendar | Multi-account Google Calendar integration with parallel querying and conflict detection |
| session-wrap | Session wrap-up, history analysis, and session validation toolkit |
Summon multiple AI models to debate your question and reach a consensus.
When you're facing a tough decision or want diverse perspectives, this plugin queries multiple AI agents (Gemini CLI, GPT, Codex) in parallel and synthesizes their opinions into a single, balanced answer.
Trigger phrases:
- "summon the council"
- "ask other AIs"
- "what do other models think?"
How it works:
- Your question is sent to multiple AI agents simultaneously
- Each agent provides its perspective
- Claude synthesizes the responses into a consensus view with noted disagreements
# Example
User: "summon the council - should I use TypeScript or JavaScript for my new project?"
Turn vague requirements into precise, actionable specifications.
Before writing code based on ambiguous instructions, this plugin conducts a structured interview to extract exactly what you need. No more assumptions, no more rework.
Trigger phrases:
- "/clarify"
- "clarify requirements"
- "what do I mean by..."
The process:
- Capture - Record the original requirement verbatim
- Question - Ask targeted multiple-choice questions to resolve ambiguities
- Compare - Present before/after showing the transformation
- Save - Optionally save the clarified spec to a file
Example transformation:
| Before | After |
|---|---|
| "Add a login feature" | Goal: Add username/password login with self-registration. Scope: Login, logout, registration, password reset. Constraints: 24h session, bcrypt, rate limit 5 attempts. |
Developer workflow tools: community scanning and technical decision-making.
This plugin provides two powerful skills for developer research and decision-making.
/dev-scan - Scan developer communities for real opinions
- Searches Reddit (via Gemini CLI), Hacker News, Dev.to, and Lobsters in parallel
- Synthesizes consensus, controversies, and notable perspectives
- Great for understanding community sentiment before adopting a tool
/tech-decision - Deep technical decision analysis
- Multi-phase workflow with 4 specialized agents running in parallel
- Combines codebase analysis, docs research, community opinions, and AI perspectives
- Produces executive-summary-first reports with scored comparisons
Trigger phrases:
- "developer reactions to...", "what do devs think about..."
- "A vs B", "which library should I use", "기술 의사결정"
How tech-decision works:
Phase 1: Parallel Information Gathering
┌─────────────────┬─────────────────┬─────────────────┬─────────────────┐
│ codebase- │ docs- │ dev-scan │ agent-council │
│ explorer │ researcher │ (community) │ (AI experts) │
└────────┬────────┴────────┬────────┴────────┬────────┴────────┬────────┘
└─────────────────┴─────────────────┴─────────────────┘
│
Phase 2: Analysis & Synthesis ▼
┌─────────────────────────────────────────────────────────────────────────┐
│ tradeoff-analyzer │
└─────────────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────────────┐
│ decision-synthesizer │
│ (Executive Summary First) │
└─────────────────────────────────────────────────────────────────────────┘
# Examples
User: "React vs Vue for my new project?"
User: "Which state management library should I use?"
User: "Monolith vs microservices for our scale?"Review Claude's plans and documents through a visual web interface.
Instead of reading long markdown in the terminal, this plugin opens a browser-based UI where you can check/uncheck items, add comments, and submit structured feedback.
Trigger phrases:
- "/review"
- "review this plan"
- "let me check this"
The flow:
- Claude generates a plan or document
- A web UI opens automatically in your browser
- Review each item with checkboxes and optional comments
- Click Submit to send structured feedback back to Claude
- Claude adjusts based on your approved/rejected items
Hear Claude's responses spoken aloud (macOS only).
This plugin uses a Stop hook to summarize Claude's response to a short headline and speaks it using macOS text-to-speech. Perfect for when you're coding and want audio feedback.
Features:
- Summarizes responses to 3-10 words using Claude Haiku
- Auto-detects Korean vs English
- Uses appropriate voice (Yuna for Korean, Samantha for English)
- Runs in background, doesn't block Claude Code
Requirements:
- macOS (uses the
saycommand) - Python 3.10+
Summarize YouTube videos with transcripts, translations, and comprehension quizzes.
Drop a YouTube URL and get a complete breakdown: summary, key insights, full Korean translation of the transcript, and a 3-stage quiz (9 questions total) to test your understanding.
Trigger phrases:
- "summarize this YouTube"
- "digest this video"
- YouTube URL
What you get:
- Summary - 3-5 sentence overview with key points
- Insights - Actionable takeaways and ideas
- Full transcript - With Korean translation and timestamps
- 3-stage quiz - Basic, intermediate, and advanced questions
- Deep Research (optional) - Web search to expand on the topic
Output location: research/readings/youtube/YYYY-MM-DD-title.md
Manage multiple Google Calendar accounts from Claude Code.
Query, create, update, and delete events across multiple Google accounts (work, personal, etc.) with automatic conflict detection.
Trigger phrases:
- "show my schedule"
- "what's on my calendar"
- "create a meeting"
- "check for conflicts"
Features:
- Parallel querying across multiple accounts
- Conflict detection between accounts
- Full CRUD operations (create, read, update, delete)
- Pre-authenticated with refresh tokens (no repeated logins)
Setup required:
- Create Google Cloud project with Calendar API
- Run setup script for each account
# One-time setup per account
uv run python scripts/setup_auth.py --account work
uv run python scripts/setup_auth.py --account personalComprehensive session wrap-up and analysis toolkit.
End your coding sessions with thorough analysis, and dive deep into session history for insights.
/wrap - Session wrap-up workflow
- 2-phase multi-agent pipeline for comprehensive session analysis
- Captures documentation needs, automation opportunities, learnings, and follow-ups
/wrap [commit message]for quick commits
/history-insight - Session history analysis
- Analyze Claude Code session history for patterns and insights
- Search current project or all sessions
- Extract themes, decisions, and recurring topics
/session-analyzer - Post-hoc session validation
- Validate session behavior against SKILL.md specifications
- Check if agents, hooks, and tools executed correctly
- Generate detailed compliance reports
How /wrap works (2-Phase Pipeline):
Phase 1: Analysis (Parallel)
┌──────────────┬──────────────┬──────────────┬──────────────┐
│ doc-updater │ automation- │ learning- │ followup- │
│ │ scout │ extractor │ suggester │
└──────┬───────┴──────┬───────┴──────┬───────┴──────┬───────┘
└──────────────┴──────────────┴──────────────┘
│
Phase 2: Validation ▼
┌─────────────────────────────────────────────────────────────┐
│ duplicate-checker │
└─────────────────────────────────────────────────────────────┘
│
▼
User Selection
Benefits:
- Never forget to document important discoveries
- Identify patterns worth automating
- Create clear handoff points for future sessions
- Analyze past sessions for recurring patterns
- Validate skill implementations against specifications
Contributions welcome! Please open an issue or PR.
MIT