Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Generate, send, validate, and export AI-powered emails from the terminal; manage contacts, segments, tags, domains, and webhooks with Migma CLI.
Generate, send, validate, and export AI-powered emails from the terminal; manage contacts, segments, tags, domains, and webhooks with Migma CLI.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Create and send professional, on-brand emails with AI. Your agent can design emails from a prompt, send them instantly through a managed domain, and manage an entire audience โ all from the terminal. Always pass --json for structured output.
If the user hasn't set up yet, run these steps once: # 1. Create an instant sending domain (no DNS needed) migma domains managed create <companyname> --json # โ Sends from: hello@<companyname>.migma.email # 2. Set a default project (brand) migma projects list --json migma projects use <projectId>
When the user asks to create, design, or generate an email: migma generate "Welcome email for new subscribers" --wait --json The --wait flag blocks until the AI finishes. The JSON response includes conversationId, subject, and html. To save the HTML locally, add --save ./email.html. To include a reference image (screenshot, design mockup), add --image <url>.
When the user asks to send an email to someone: # Send a generated email directly migma send --to sarah@example.com --subject "Welcome!" \ --from-conversation <conversationId> \ --from hello@company.migma.email --from-name "Company" --json # Or send from a local HTML file migma send --to sarah@example.com --subject "Hello" \ --html ./email.html \ --from hello@company.migma.email --from-name "Company" --json # Send to an entire segment or tag migma send --segment <id> --subject "Big News" --html ./email.html \ --from hello@company.migma.email --from-name "Company" --json # Personalize with template variables migma send --to user@example.com --subject "Hi {{name}}" --html ./email.html \ --from hello@company.migma.email --from-name "Company" \ --var name=Sarah --var discount=20 --json --from-conversation auto-exports the HTML from a generated email โ no separate export step.
When the user wants to check an email before sending: migma validate all --html ./email.html --json migma validate all --conversation <conversationId> --json Returns an overall score plus individual checks: compatibility (30+ email clients), broken links, spelling/grammar, and deliverability/spam score. Individual checks: migma validate compatibility, links, spelling, deliverability.
When the user wants to export to an ESP or download a file: migma export html <conversationId> --output ./email.html migma export klaviyo <conversationId> --json migma export mailchimp <conversationId> --json migma export hubspot <conversationId> --json migma export pdf <conversationId> --json migma export mjml <conversationId> --json
migma contacts add --email user@example.com --firstName John --json migma contacts list --json migma contacts import ./contacts.csv --json migma contacts remove <id> --json
migma tags create --name "VIP" --json migma tags list --json migma segments create --name "Active Users" --description "..." --json migma segments list --json
When the user wants to set up a new brand from their website: migma projects import https://yourbrand.com --wait --json migma projects use <projectId> This fetches logos, colors, fonts, and brand voice automatically.
On error, --json returns: {"error": {"message": "Not found", "code": "not_found", "statusCode": 404}}
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