octave:ads

Name: octave:ads
Availability: InStock
Author: Octave

Automates ad campaign planning and resonance analysis using Octave library data.

Updated May 30, 2026

Search Tags:#mcp #creative #octave #bigquery #campaign #ads #resonance

Ready to run

npx skills add https://github.com/octavehq/lfgtm-cursor --skill octave-ads

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: octave:ads
Source: https://github.com/octavehq/lfgtm-cursor/tree/main/skills/ads
Command: npx skills add https://github.com/octavehq/lfgtm-cursor --skill octave-ads

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates end-to-end ad campaign planning and resonance analysis by leveraging Octave library data to generate campaign plans and analyze performance.

Core Features & Use Cases

Campaign generation: one ad set per persona/ICP, platform-ready creative, audience targeting, landing page recommendations; resonance loop pulls performance from MCP / BigQuery / direct API / manual paste and writes falsifiable prediction cards to calibrate future iterations.
Resonance loop: analyzes performance data, maps winners back to source cards, updates the library with learnings, and writes a sales intelligence brief.
Use cases include building ads and ad sets, running ad performance analyses, competitive displacement campaigns, and bridging library insights to live campaigns.

Quick Start

Describe your target audience and campaign angle, then run the /octave:ads command to generate platform-ready campaigns and start the resonance loop.

Frequently Asked Questions about octave:ads

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate ad campaign planning and resonance analysis?▼

Automate ad campaign planning and resonance analysis by leveraging Octave library data to generate platform-ready campaigns, map performance back to source cards, and calibrate future iterations using BigQuery or manual data integration.

What is a resonance loop in ad campaign performance analysis?▼

A resonance loop analyzes live ad performance data, maps winning creatives back to source cards, updates the library with learnings, and writes falsifiable prediction cards to calibrate future campaign iterations.

How do I generate platform-ready ad sets for specific personas?▼

Generate platform-ready ad sets by describing your target audience and campaign angle, then running the command to create one ad set per persona with creative, audience targeting, and landing page recommendations.

Can I use BigQuery data for ad performance resonance analysis?▼

Yes, you can use BigQuery data for ad performance resonance analysis by pulling performance metrics directly through BigQuery, MCP, direct API, or manual data paste to map winners back to source cards.

Do I need an Octave MCP server to run competitive displacement campaigns?▼

You need an Octave MCP server or equivalent data sources and tools to fetch personas, use cases, proof points, and persist source cards when running competitive displacement campaigns and resonance loops.

What are the limitations of manual data integration for ad campaign resonance?▼

Manual data integration for ad campaign resonance requires direct pasting of performance data, which limits automated calibration loops compared to using an Octave MCP server or direct API connections for continuous data flow.