Paid Media Plan

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

How to use it

  1. Hit Copy the whole skill.
  2. Claude: ⋯ → Download .md, then Customize → Skills → Add → Upload skill.
    ChatGPT: make a Project and paste it into Instructions.
    Neither? Paste it at the top of a new chat — it works for that chat.
  3. Describe your job in plain words. The AI follows the skill from there.
Claude Code — installs the whole folder, not just SKILL.md
npx degit AgriciDaniel/claude-ads/skills/ads-plan#main ~/.claude/skills/ads-plan

For one project only, change the path to .claude/skills/ads-plan.

Not working?
  • Check which app you pasted it into — the steps above name the right one.
  • Some skills need the paid tier of Claude or ChatGPT.
Step-by-step guide with screenshots · Ask in the forum

Paste into Claude, ChatGPT or Cursor.

Show the full text32 lines
ads-plan/SKILL.md32 lines1.9 KBpushed 11d agoRawView on GitHub

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 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.

1---
2name: ads-plan
3description: "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 
81. Read the setup profile, business economics, evidence, current account state, and
9 relevant industry template as optional input.
102. Define objective, customer, offer, conversion, value, constraints, geography,
11 regulated category, time horizon, and success criteria.
123. 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.
164. 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.
235. Specify campaign architecture, audience strategy, creative system, budget and
24 pacing, measurement, experiments, policy controls, and operating cadence.
256. Phase prerequisites before launch, learning, optimization, and scale.
267. Assign every action an owner, timing, dependency, guardrail, evidence, success
27 measure, and rollback or exit condition.
288. Return canonical JSON and render the requested human plan.
29 
30A plan is advisory. It becomes an account change only through launch or optimize
31mutation gates.
32 

Discussion

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