_mureo-strategy

_mureo-strategy is a skill for Claude Code, Codex from logly/mureo. It costs 28 tokens per session (12,135 once invoked), scanned A, original, Apache-2.0.

A set of tools for managing Facebook and Instagram advertising campaigns, including their ad groups, ads, results, and audiences.

In plain words
What is it for?
Listing and viewing campaigns, creating or changing campaigns and ad groups, pausing or enabling them, and managing ads, insights, and audiences.
Why use it?
It removes the need to handle every campaign change and performance check manually in the advertising interface.

Skill for Claude CodeCodex

Part of the mureo plugin — 27 skills, 1 MCP server shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/logly/mureo/_mureo-strategy
Any agent
npx skills add logly/mureo --skill _mureo-strategy
Clone the repo
git clone --depth 1 https://github.com/logly/mureo

Made for: Claude Code, Codex.

Or install mureo, the plugin that ships this one along with the rest of its 27 skills, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for _mureo-strategy

README.md
[![agentmods](https://agentmods.dev/badge/skills/logly/mureo/_mureo-strategy.svg)](https://agentmods.dev/skills/logly/mureo/_mureo-strategy)
Your own site
<a href="https://agentmods.dev/skills/logly/mureo/_mureo-strategy"><img src="https://agentmods.dev/badge/skills/logly/mureo/_mureo-strategy.svg" alt="Measured on agentmods" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 12,135 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00028 $0.12135
Opus 5 $0.00014 $0.06067
Sonnet 5 $0.00006 $0.02427
Haiku 4.5 $0.00003 $0.01213

Measured yesterday against content hash 24fac9efbd53, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

_mureo-strategy scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

mureo/_data/skills/_mureo-strategy/SKILL.md · 954 lines

How it starts

The opening of the file, as written. The whole thing — 954 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Strategy Context

PREREQUISITE: Read ../_mureo-shared/SKILL.md for auth, global flags, and security rules.

Overview

mureo uses two local context files to maintain business strategy and campaign state:

File Format Purpose
STRATEGY.md Markdown Business strategy, personas, USP, brand voice
STATE.json JSON Campaign configuration snapshots

These files live in the project working directory and are read by AI agents to make strategy-aligned advertising decisions.

STRATEGY.md

File Structure

STRATEGY.md is a Markdown file with ## Section headings. Each section maps to a context_type:

Section Heading context_type Purpose
## Persona persona Target customer persona
## USP usp Unique selling proposition
## Target Audience target_audience Audience demographics and behavior
## Brand Voice brand_voice Tone, style, and language guidelines
## Market Context market_context Competitive landscape and market trends
## Operation Mode operation_mode Current operation mode (see below)
## Custom: <title> custom Freeform custom strategy entry
## Deep Research: <title> deep_research Results from website/competitor research
## Sales Material: <title> sales_material Extracted info from sales documents
## Goal: <title> goal Quantitative marketing goal with target, deadline, and priority

Example STRATEGY.md

# Strategy

## Persona

**Name:** Tanaka-san (Marketing Manager)
**Age:** 35-45
**Role:** In-house marketing at mid-size SaaS company
**Goals:** Improve lead quality, reduce CPA below 8,000 yen
**Pain Points:** Limited budget, too many low-quality leads from broad targeting
**Decision Process:** Data-driven, needs ROI justification for budget increases

## USP

- Only platform that automates both Google Ads and Meta Ads from Slack
- AI agent handles routine optimization, freeing up 10+ hours/week
- Built-in budget safety guards prevent overspend

## Target Audience

**Primary:** SaaS marketing managers at companies with 50-500 employees
**Secondary:** Digital agency account managers handling 5+ client accounts
**Geo:** Japan (primary), US/EU (secondary)
**Budget Range:** 500,000 - 5,000,000 JPY/month ad spend

## Brand Voice

- Professional but approachable
- Data-backed claims, no hype
- Use concrete numbers over vague superlatives
- Japanese: polite form (desu/masu), avoid overly casual language

## Market Context

- Competitor A focuses on Google Ads only (no Meta Ads integration)
- Competitor B has Meta Ads but no Slack integration
- Market trend: increasing demand for AI-powered ad optimization
- Budget pressure: clients seeking efficiency gains, not just scale

## Operation Mode

EFFICIENCY_STABILIZE

## Custom: Seasonal Strategy

- Q1 (Jan-Mar): Budget conservative, focus on efficiency
- Q2 (Apr-Jun): Ramp up for spring campaigns
- Q3 (Jul-Sep): Peak season, maximize budget utilization
- Q4 (Oct-Dec): Holiday campaigns, shift to Meta Ads for brand awareness

## Goal: Reduce CPA below 5000 JPY

- Target: CPA < 5,000 JPY
- Deadline: 2026-06-30
- Current: CPA 6,200 JPY
- Platform: Google Ads, Meta Ads, Amazon Ads
- Priority: HIGH

## Goal: Increase monthly leads to 100

- Target: Leads >= 100/month
- Deadline: 2026-05-31
- Current: 72 leads/month
- Platform: Google Ads
- Priority: MEDIUM

## Deep Research: example.com

**Service Overview:** Cloud-based project management tool for remote teams
**Key Features:** Real-time collaboration, Gantt charts, resource allocation
**Pricing:** Freemium model, Pro plan at $15/user/month
**Competitors:** Asana, Monday.com, Notion

Read the full file on GitHub · 954 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday Changed 24fac9efbd53
  2. 5d ago First seen · 954 lines · 28 tokens per session scan A a4a5d0498b31

Subscribe to this mod's changes

_mureo-strategy is a skill published in the GitHub repository logly/mureo (43 stars, last pushed 3d ago), licensed Apache-2.0. It adds 28 tokens to every session and 12,135 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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