← ClaudeAtlas

mail-skilllisted

Comprehensive email management skill for AI agents. Fetches, searches, reads, sends, and summarizes emails via IMAP/SMTP. Features include semantic search with vector embeddings, AI-powered replies, email classification, thread tracking, and attachment preview. Supports multiple accounts with isolated storage. Triggers: "check my email", "search emails", "send email", "reply to", "email summary", "fetch emails", "mail from", "inbox".
Linearl/reasonix_skill_repo · ★ 2 · AI & Automation · score 63
Install: claude install-skill Linearl/reasonix_skill_repo
# Mail Skill A powerful email management skill that acts as your personal email assistant. ## When to Activate - User asks to check, fetch, or read emails - User wants to search emails (keyword or natural language) - User needs to send, reply to, or forward emails - User requests email summaries or reports - User mentions email threads or conversations - User asks about attachments in emails - User wants to organize or classify emails ## Quick Start ```bash # Fetch latest emails python scripts/mail_cli.py fetch --days 7 # Search emails python scripts/mail_cli.py search --query "project update" # Send an email python scripts/mail_cli.py send --to recipient@example.com --subject "Hello" --body "Message content" ``` ## Core Commands ### Fetch Emails ```bash # Fetch recent emails (default: last 7 days, max 50) python scripts/mail_cli.py fetch # Fetch from specific folder python scripts/mail_cli.py fetch --folder INBOX # Fetch from all folders python scripts/mail_cli.py fetch --folder ALL # Fetch more emails (requires confirmation) python scripts/mail_cli.py fetch --limit 200 --confirm # Fetch only unread python scripts/mail_cli.py fetch --unread # Check fetch task status (async) python scripts/mail_cli.py fetch-status <task_id> ``` **Output**: JSON with `task_id` for async tracking. Emails are stored in `./mail_data/<account>/`. ### Search Emails ```bash # Full-text search python scripts/mail_cli.py search --query "budget report" # Semantic search (vector embed