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Content Management

Unified content platform for AI agents — articles, social media, YouTube, media library, SEO, and publishing workflows via mcp-cms (26 tools).

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 content operations — manage articles, schedule social media, publish to YouTube, organize media library, optimize SEO, and run publishing workflows. Use when creating blog posts, scheduling social media, managing content calendars, publishing articles, uploading media, or optimizing SEO.

Architecture

How Content 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

Content 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-cms

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.

Portable instructions: SKILL.md · Capability boundary: mcp-cms · Allowed tools: 11

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.

01

"write", "article", "blog post", "create content"?

create_content (draft)

02

"publish", "go live", "make public"?

publish_content

03

"social", "post", "schedule", "twitter", "linkedin"?

schedule_social_post

04

"metrics", "engagement", "views"?

get_social_metrics

05

"calendar", "scheduled", "upcoming"?

list_scheduled_posts

06

"unpublish", "take down"?

unpublish_content

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 & Publish

Content marketing → leads

021-2 calls

Social Distribution

Multi-platform reach

031 calls

SEO Optimization

Organic traffic

041 calls

Content Calendar

Planning visibility

Tool boundary

The skill may use 11 documented tools.

This allowlist is declared by the skill. It keeps the agent focused on the actions needed for this job while mcp-cms retains responsibility for authentication, validation, and the connected system.

list_content
get_content
create_content
update_content
publish_content
unpublish_content
list_social_accounts
schedule_social_post
get_social_metrics
list_scheduled_posts
delete_scheduled_post

Working rules

What the agent should do.

  • Include SEO description on every article
  • Schedule social posts for optimal times (not midnight)
  • Track engagement after publishing

Operating boundaries

What the agent should avoid.

  • Don't publish without SEO metadata
  • Don't post same content to all platforms without adapting format

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-cms, 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-content-management.git ~/.skills/skills/content-management
ADK-Rust loading shape
let skills = SkillLoader::from_dir("~/.skills/skills").await?;
let skill = skills.load("content-management").await?;

let agent = LlmAgentBuilder::new("agent")
    .instruction(skill.instructions())
    .tools(skill.allowed_tools(toolset)?)
    .build()?;

The repository's compatibility statement: Requires mcp-cms server connected (WordPress, Contentful, YouTube, Twitter, LinkedIn, Meta, or Custom API).

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.

Source record

Repository metadata for this skill entry.

View public repository ↗
License
Apache-2.0
Allowed tools
11
References
3
Revision
6b85ded2f9dd
Updated
May 31, 2026