"send", "email", "write to", "notify"?
WORKFLOW 1: Compose & Send
← Skill registry
Communication & knowledgePublic skills
Email Management
Multi-backend email operations for AI agents — compose professional emails, manage inbox, search history, and deliver invoices/follow-ups across SMTP, AWS SES, SendGrid, Gmail, and Microsoft Graph.
What this skill teaches
A reusable playbook for a specific kind of work.
An MCP server tells an agent which actions are available. A skill adds the judgment around those actions: how to recognize the job, which sequence to follow, what to avoid, and how to decide that the result is complete.
Orchestrate email operations across SMTP, AWS SES, SendGrid, Gmail, and Microsoft Graph — compose and send emails, read inbox, search messages, manage folders, and handle attachments. Use when sending emails, reading inbox, searching for messages, replying to threads, managing email folders, or checking attachments.
Architecture
How Email Management guides an ADK-Rust agent.
The skill stays readable and portable because it contains instructions rather than service credentials or business data. ADK-Rust supplies it to the agent, the agent chooses from its reviewed tool boundary, and the connected MCP server performs the authenticated operation.
01
User request
The agent receives a goal expressed in ordinary language.
02
Email Management skill
Matches intent, supplies the decision guide, and narrows the tool boundary.
03
ADK-Rust agent
Plans the workflow and streams each meaningful step through the runtime.
04
mcp-email
Executes authenticated operations against the system that owns the capability.
05
Verified result
The skill's completion rules shape the evidence returned to the user.
Decision guide
How the agent turns a request into the right action.
These routes come directly from the skill instructions. They help the model recognize intent and select a focused tool or workflow instead of improvising across the entire capability surface.
"inbox", "unread", "new emails"?
WORKFLOW 2: Read Inbox
"find", "search", "email from"?
WORKFLOW 3: Search
"reply", "respond", "follow up"?
WORKFLOW 4: Reply
"organize", "move", "label", "archive"?
WORKFLOW 5: Organize
Unclear?
Ask: "Would you like to send an email, check inbox, or search for something?"
Proven workflows
Repeatable sequences for useful outcomes.
A workflow joins several tool calls into a task the user actually recognizes. The skill explains the sequence and the intended result while ADK-Rust streams the agent's progress through the shared runtime.
011 calls
Compose & Send
Professional email with clear CTA
021-2 calls
Read Inbox
Filtered inbox with key messages
031-2 calls
Search
Find messages by sender/subject/date
042 calls
Reply
Read context → reply in thread
051-2 calls
Organize
Move, label, archive
Tool boundary
The skill may use 9 documented tools.
This allowlist is declared by the skill. It keeps the agent focused on the actions needed for this job while mcp-email retains responsibility for authentication, validation, and the connected system.
send_email
list_inbox
get_email
search_emails
reply_to_email
list_labels
move_to_folder
mark_read
get_attachments
Working rules
What the agent should do.
- Follow the decision guide, use the declared tool boundary, and verify the result before responding.
Operating boundaries
What the agent should avoid.
- Review the complete SKILL.md before enabling this skill for production work.
Install and connect
Add the skill beside the capability it expects.
Install the repository where your ADK-Rust skill loader can discover it, connect mcp-email, and confirm the declared tools are available before asking the agent to use the workflow.
Install the skill
git clone https://github.com/zavora-ai/skill-email-management.git \
~/.skills/skills/email-managementADK-Rust loading shape
let skills = SkillLoader::from_dir("~/.skills/skills").await?;
let skill = skills.load("email-management").await?;
let agent = LlmAgentBuilder::new("agent")
.instruction(skill.instructions())
.tools(skill.allowed_tools(toolset)?)
.build()?;The repository's compatibility statement: Requires mcp-email server connected. Optional: mcp-crm for contact context, mcp-finance for invoice delivery, mcp-calendar for meeting invites.
Official documentation
Read the complete skill package.
The repository remains authoritative for its exact instructions, examples, helper scripts, assets, MCP requirements, license, and later updates.
Keep exploring
More in communication & knowledge.
Analytics & Reporting Skill (Revenue Intelligence)Revenue intelligence for AI agents — metrics, funnels, anomaly detection, forecasting, and dashboards. Don't just pull numbers — find the story, explain why, and recommend action.22 allowed toolsCalendar & SchedulingSmart scheduling for AI agents — find free time across timezones, book meetings, manage events, and coordinate calendars via Google Calendar and Microsoft Graph.10 allowed toolsContent ManagementUnified content platform for AI agents — articles, social media, YouTube, media library, SEO, and publishing workflows via mcp-cms (26 tools).11 allowed tools
Source record
Repository metadata for this skill entry.
- License
- Apache-2.0
- Allowed tools
- 9
- References
- 3
- Revision
- b7e1165bcd20
- Updated
- May 31, 2026