"create doc", "write", "draft"?
google_create_doc / google_insert_text
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Communication & knowledgePublic skills
Document Management
Multi-platform document operations for AI agents — create, search, edit, export, comment, and share across Google Docs, Google Drive, Notion, and Microsoft OneDrive/SharePoint.
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.
Manage documents across Google Docs, Drive, Notion, and OneDrive/SharePoint — create, search, edit, export, comment, and share. Use when creating documents, searching files, editing content, sharing with teams, or exporting to PDF/DOCX.
Architecture
How Document 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
Document 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-document
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.
"find", "search doc"?
google_search_docs / notion_search
"edit", "update", "replace"?
google_replace_text
"share", "give access"?
google_share_doc (verify permissions first)
"export", "PDF", "download"?
google_export_doc
"comment", "feedback"?
google_add_comment / google_list_comments
"notion", "page", "wiki"?
notion_search / notion_get_page
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.
012-3 calls
Create & Share
New doc with proper permissions
021-2 calls
Search & Read
Find across Google + Notion
031-2 calls
Edit
Insert or replace text
041 calls
Export
PDF/DOCX download
051-2 calls
Comment & Review
Collaborative feedback
Tool boundary
The skill may use 15 documented tools.
This allowlist is declared by the skill. It keeps the agent focused on the actions needed for this job while mcp-document retains responsibility for authentication, validation, and the connected system.
google_list_docs
google_search_docs
google_get_doc
google_get_text
google_create_doc
google_insert_text
google_replace_text
google_export_doc
google_list_comments
google_add_comment
google_share_doc
google_delete_doc
notion_search
notion_list_pages
notion_get_page
Working rules
What the agent should do.
- Verify sharing permissions before granting access
- Never share confidential docs externally without approval
- Maintain version history
Operating boundaries
What the agent should avoid.
- Don't delete documents under legal hold
- Don't share with "anyone with link" for sensitive content
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-document, 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-document-management.git \
~/.skills/skills/document-managementADK-Rust loading shape
let skills = SkillLoader::from_dir("~/.skills/skills").await?;
let skill = skills.load("document-management").await?;
let agent = LlmAgentBuilder::new("agent")
.instruction(skill.instructions())
.tools(skill.allowed_tools(toolset)?)
.build()?;The repository's compatibility statement: Requires mcp-document server connected.
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.
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Source record
Repository metadata for this skill entry.
- License
- Apache-2.0
- Allowed tools
- 15
- References
- 3
- Revision
- 5bd874a940f8
- Updated
- May 31, 2026