Create a professional paid-advertising strategy covering

Paid Media Plan

by AgriciDaniel · MIT license · ★ 9,466 on GitHub · updated Sep 18

Create a professional paid-advertising strategy covering objectives, economics, platform selection, campaign architecture, audiences, budget, creative, measurement, experiments, governance, rollout, and reporting. Use for ad plan, media…

---
name: ads-plan
description: "Create a professional paid-advertising strategy covering objectives, economics, platform selection, campaign architecture, audiences, budget, creative, measurement, experiments, governance, rollout, and reporting. Use for ad plan, media plan, PPC strategy, paid-social strategy, campaign architecture, advertising roadmap, or channel planning."
---

# 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` 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

Overview

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

Manual install (npx, ZIP)

Claude Codenpx skills add AgriciDaniel/claude-ads --skill ads-plan -g -a claude-code

Claude Code (manual)

mkdir -p ~/.claude/skills && curl -sL https://codeload.github.com/AgriciDaniel/claude-ads/tar.gz/ac2164493391 \
  | tar -xz -C ~/.claude/skills --strip-components=2 claude-ads-ac2164493391/skills/ads-plan

Windows (PowerShell)

New-Item -ItemType Directory -Force "$HOME\.claude\skills" | Out-Null; Invoke-WebRequest "https://m.agentalley.io/zip/1e602c011f7f0e073b31/ads-plan.zip" -OutFile "$env:TEMP\ads-plan.zip"; Expand-Archive "$env:TEMP\ads-plan.zip" -DestinationPath "$HOME\.claude\skills" -Force

Claude.ai / desktopDownload the ZIP and upload it under Settings → Capabilities → Skills.

Codex, Cursor, other agentsPoint them at SKILL.md. The other files are plain text.

Connects with Agent Alley MCP · agentalley.io/mcp

Files included

SKILL.md1.9 KB
assets/12 files · 25.1 KB

Read the files here

AgriciDaniel/ac2164413 files

SKILL.md1.9 KB

Shared references2SKILL.md reads these from elsewhere in the repo. Not in the ZIP.

Get them on GitHub ↗

SKILL.md

Show the full text32 lines

ads-plan/SKILL.md32 lines · 1.9 KB

PreviewCodeRawView on GitHub

Paid Media Plan

Read the setup profile, business economics, evidence, current account state, and relevant industry template as optional input.
Define objective, customer, offer, conversion, value, constraints, geography, regulated category, time horizon, and success criteria.
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 and return a research lead unless its current buying, eligibility, measurement, and creative evidence is present.
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.
Specify campaign architecture, audience strategy, creative system, budget and pacing, measurement, experiments, policy controls, and operating cadence.
Phase prerequisites before launch, learning, optimization, and scale.
Assign every action an owner, timing, dependency, guardrail, evidence, success measure, and rollback or exit condition.
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.

1	---
2	name: ads-plan
3	description: "Create a professional paid-advertising strategy covering objectives, economics, platform selection, campaign architecture, audiences, budget, creative, measurement, experiments, governance, rollout, and reporting. Use for ad plan, media plan, PPC strategy, paid-social strategy, campaign architecture, advertising roadmap, or channel planning."
4	---
5
6	# Paid Media Plan
7
8	1. Read the setup profile, business economics, evidence, current account state, and
9	relevant industry template as optional input.
10	2. Define objective, customer, offer, conversion, value, constraints, geography,
11	regulated category, time horizon, and success criteria.
12	3. Evaluate channel roles and exclusions from first principles; do not require every
13	supported platform. For a channel outside the twelve-platform contract, load
14	`ads/references/additional-platforms.md` and return a research lead unless
15	its current buying, eligibility, measurement, and creative evidence is present.
16	4. Before proposing Meta budgets, learning-phase expectations, bidding,
17	consolidation, or performance forecasts, collect the account, Pixel, and
18	conversion cold-start dimensions per the contract in
19	`skills/ads-meta/SKILL.md`. When any dimension is cold or `unknown`, plan
20	for measurement validation, explicit creative hypotheses, staged reversible
21	tests, and confidence labels; do not apply mature-account benchmarks to
22	missing history.
23	5. Specify campaign architecture, audience strategy, creative system, budget and
24	pacing, measurement, experiments, policy controls, and operating cadence.
25	6. Phase prerequisites before launch, learning, optimization, and scale.
26	7. Assign every action an owner, timing, dependency, guardrail, evidence, success
27	measure, and rollback or exit condition.
28	8. Return canonical JSON and render the requested human plan.
29
30	A plan is advisory. It becomes an account change only through launch or optimize
31	mutation gates.
32