Moras Viral Video Hook Retention Decomposer Skill

Alpha-Park7starsClaim this server

Short-form video script structure deconstructor analyzing 0-3s hook retention hazard, pacing decay, and audience drop-off curves

Social Media

Install Run on PlugMCPClaim this server

GitHub

Run on PlugMCP

1# Moras Viral Video Hook Retention Decomposer Skill

README.mdMCP server

Transport: stdio
Status: Local

Power your agent

Add this server

Install from the publisher. Not a PlugMCP endpoint.

Run on PlugMCP

Host a copy with our keys and logs.

No packaged release in the registry yet. Follow the repository README.

RepositoryPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

Server facts

Local

Transport: stdio
Last checked: 2026-10-27

Stars: 7
Tools: —
Uptime: —

Tools

No tool list yet. Remote servers get one after the first health check.

FAQ

Questions

How do I install Moras Viral Video Hook Retention Decomposer Skill?

Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does Moras Viral Video Hook Retention Decomposer Skill need an API key?

No required environment variable is listed on this record.

What transport does Moras Viral Video Hook Retention Decomposer Skill use?

Moras Viral Video Hook Retention Decomposer Skill runs locally over stdio.

When was Moras Viral Video Hook Retention Decomposer Skill last checked?

Last checked 2026-10-27. Short-form video script structure deconstructor analyzing 0-3s hook retention hazard, pacing decay, and audience drop-off curves

From the publisher

Documentation

moras-viral-video-hook-retention-decomposer-skill

-brightgreen.svg?style=for-the-badge)

Overview & Capability

moras-viral-video-hook-retention-decomposer-skill is a deterministic, zero-dependency Python skill engineered with 100% production-grade functional parity for autonomous AI commerce agents, creator economy monetization, and short-form video optimization.

Executive Capability: Short-form video script structure deconstructor analyzing 0-3s hook retention hazard, pacing decay, and audience drop-off curves

Key Highlights & Value

Zero External Dependencies: Runs instantly on standard Python 3.9+ with zero environment bloat.
Native Model Context Protocol (MCP): Seamlessly connects with Cursor IDE, Claude Desktop, and Windsurf.
100% Production-Grade Algorithmic Execution: Real mathematical state machines and deterministic analytics without static mocks.
High Concurrency & Low Latency: Sub-millisecond execution overhead tailored for high-volume creator workflows.

Architecture & Workflow

graph LR
    User([Creator / AI Commerce Agent]) -->|JSON-RPC Request| MCP[MCP Server / CLI]
    MCP --> Client[Skill Client Core Engine]
    Client --> Engine[Algorithmic Analytical Kernel]
    Engine --> Output[Structured Output Dossier & Telemetry]
    Output --> User

Quickstart & Usage

1. Direct Python Client Execution

python example_usage.py

2. Programmatic Integration

from client import ViralVideoHookRetentionDecomposerClient

client = ViralVideoHookRetentionDecomposerClient()
result = client.decompose_video_retention()
print(result)

Model Context Protocol (MCP) Setup

Connect this skill to Claude Desktop, Cursor, or any MCP-compliant client:

`claude_desktop_config.json`

{
  "mcpServers": {
    "moras-viral-video-hook-retention-decomposer-skill": {
      "command": "python",
      "args": ["/path/to/moras-viral-video-hook-retention-decomposer-skill/mcp_server.py"]
    }
  }
}

Technical Specifications

Parameter	Type	Required	Description
`payload`	`dict` / `list`	Yes	Target video timeline, product sales telemetry, or affiliate data
`config`	`dict`	No	Operational parameters, retention bounds, or optimization constraints

Frequently Asked Questions (FAQ)

Q1: What makes Moras AI Agent Skills unique?

Moras AI Agent Skills are engineered with zero external dependencies using pure Python standard library code. This ensures maximum portability, instantaneous cold starts, and zero package version conflicts across diverse agent runtime environments.

Q2: How do I test this MCP server locally?

Run python mcp_server.py --test to verify MCP protocol discovery and tool schema negotiation.

Moras Viral Video Hook Retention Decomposer Skill

Alpha-Park7starsClaim this server

Short-form video script structure deconstructor analyzing 0-3s hook retention hazard, pacing decay, and audience drop-off curves

Social Media

Install Run on PlugMCPClaim this server

GitHub

Run on PlugMCP

1# Moras Viral Video Hook Retention Decomposer Skill

README.mdMCP server

Transport: stdio
Status: Local

Power your agent

Add this server

Install from the publisher. Not a PlugMCP endpoint.

Run on PlugMCP

Host a copy with our keys and logs.

No packaged release in the registry yet. Follow the repository README.

RepositoryPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

Server facts

Local

Transport: stdio
Last checked: 2026-10-27

Stars: 7
Tools: —
Uptime: —

Tools

No tool list yet. Remote servers get one after the first health check.

FAQ

Questions

How do I install Moras Viral Video Hook Retention Decomposer Skill?

Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does Moras Viral Video Hook Retention Decomposer Skill need an API key?

No required environment variable is listed on this record.

What transport does Moras Viral Video Hook Retention Decomposer Skill use?

Moras Viral Video Hook Retention Decomposer Skill runs locally over stdio.

When was Moras Viral Video Hook Retention Decomposer Skill last checked?

Last checked 2026-10-27. Short-form video script structure deconstructor analyzing 0-3s hook retention hazard, pacing decay, and audience drop-off curves

From the publisher

Documentation

moras-viral-video-hook-retention-decomposer-skill

-brightgreen.svg?style=for-the-badge)

Overview & Capability

Executive Capability: Short-form video script structure deconstructor analyzing 0-3s hook retention hazard, pacing decay, and audience drop-off curves

Key Highlights & Value

Zero External Dependencies: Runs instantly on standard Python 3.9+ with zero environment bloat.
Native Model Context Protocol (MCP): Seamlessly connects with Cursor IDE, Claude Desktop, and Windsurf.
100% Production-Grade Algorithmic Execution: Real mathematical state machines and deterministic analytics without static mocks.
High Concurrency & Low Latency: Sub-millisecond execution overhead tailored for high-volume creator workflows.

Architecture & Workflow

graph LR
    User([Creator / AI Commerce Agent]) -->|JSON-RPC Request| MCP[MCP Server / CLI]
    MCP --> Client[Skill Client Core Engine]
    Client --> Engine[Algorithmic Analytical Kernel]
    Engine --> Output[Structured Output Dossier & Telemetry]
    Output --> User

Quickstart & Usage

1. Direct Python Client Execution

python example_usage.py

2. Programmatic Integration

from client import ViralVideoHookRetentionDecomposerClient

client = ViralVideoHookRetentionDecomposerClient()
result = client.decompose_video_retention()
print(result)

Model Context Protocol (MCP) Setup

Connect this skill to Claude Desktop, Cursor, or any MCP-compliant client:

`claude_desktop_config.json`

{
  "mcpServers": {
    "moras-viral-video-hook-retention-decomposer-skill": {
      "command": "python",
      "args": ["/path/to/moras-viral-video-hook-retention-decomposer-skill/mcp_server.py"]
    }
  }
}

Technical Specifications

Parameter	Type	Required	Description
`payload`	`dict` / `list`	Yes	Target video timeline, product sales telemetry, or affiliate data
`config`	`dict`	No	Operational parameters, retention bounds, or optimization constraints

Frequently Asked Questions (FAQ)

Q1: What makes Moras AI Agent Skills unique?

Q2: How do I test this MCP server locally?

Run python mcp_server.py --test to verify MCP protocol discovery and tool schema negotiation.