mcpField
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ads-plan

ads-plan

github.com/agricidanielMarketing & growth10.5k4.1k installsUpdated 2w ago
Repository

About ads-plan

An ads-planning skill for defining paid media strategy, campaign structure, measurement, experiments, and operating steps. It distinguishes advisory plans from account changes, which require separate mutation gates.

Key features

  1. 01Objectives and success criteria
  2. 02Channel selection and exclusions
  3. 03Campaign, audience, and creative planning
  4. 04Budget, measurement, and experiments
  5. 05Phased actions with owners and guardrails
  6. 06Canonical JSON and human-readable plan

Use cases

  1. 01Drafting a paid media plan before launch
  2. 02Planning staged tests for cold or unknown Meta account dimensions
  3. 03Defining owners, dependencies, and rollback conditions

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/agricidaniel/claude-ads --skill ads-plan

After installing, type/ads-planin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

assets/
agency.md
b2b-enterprise.md
ecommerce-creative.md
ecommerce.md
finance.md
generic.md
healthcare.md
info-products.md
local-service.md
mobile-app.md
real-estate.md
saas.md

Details

From the project README

Paid Media Plan

  1. Read the setup profile, business economics, evidence, current account state, and relevant industry template as optional input.
  2. Define objective, customer, offer, conversion, value, constraints, geography, regulated category, time horizon, and success criteria.
  3. Evaluate channel roles and exclusions from first principles; do not require every supported platform. For a channel outside the twelve-platform contract, load ads/references/additional-platforms.md (resolve it from the plugin root, the directory that holds ads/ and skills/, or from the skills directory in a standalone install) and return a research lead unless its current buying, eligibility, measurement, and creative evidence is present.
  4. Before proposing Meta budgets, learning-phase expectations, bidding, consolidation, or performance forecasts, collect the account, Pixel, and conversion cold-start dimensions per the contract in skills/ads-meta/SKILL.md. When any dimension is cold or unknown, plan for measurement validation, explicit creative hypotheses, staged reversible tests, and confidence labels; do not apply mature-account benchmarks to missing history.
  5. Specify campaign architecture, audience strategy, creative system, budget and pacing, measurement, experiments, policy controls, and operating cadence.
  6. Phase prerequisites before launch, learning, optimization, and scale.
  7. Assign every action an owner, timing, dependency, guardrail, evidence, success measure, and rollback or exit condition.
  8. Return canonical JSON and render the requested human plan.

A plan is advisory. It becomes an account change only through launch or optimize mutation gates.

Comments

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