ads-plan
agricidaniel/claude-ads
Create professional paid-advertising strategies covering objectives, platform selection, budgets, creative, measurement, and reporting.
What is ads-plan?
Generates comprehensive paid-media plans for digital advertising campaigns across multiple platforms. Use this to develop ad strategies, media plans, PPC or paid-social approaches, campaign architecture, advertising roadmaps, or channel planning with structured objectives, economics, audience targeting, creative systems, and measurement frameworks.
- Define advertising objectives, customer profiles, offers, conversions, value metrics, and success criteria
- Evaluate channel roles and platform selection from first principles across twelve supported platforms
- Specify campaign architecture, audience strategy, creative systems, and budget allocation with pacing
- Design measurement frameworks, experiments, and policy controls for campaign governance
- Phase prerequisites and assign ownership, timing, dependencies, and rollback conditions to every action
- Return both canonical JSON and human-readable advertising plans
How to install ads-plan
npx skills add https://github.com/agricidaniel/claude-ads --skill ads-plan- Optional: setup profile, business economics, evidence, and current account state
- Optional: industry template for reference
- For Meta platforms: account, Pixel, and conversion cold-start dimensions per ads-meta skill contract
How to use ads-plan
- 1.Provide business context: objectives, customer profile, offer, conversion value, geography, and time horizon
- 2.Specify current account state and any existing platform constraints or eligibility requirements
- 3.Request evaluation of channel roles and platform selection
- 4.Review proposed campaign architecture, audience strategy, and creative system
- 5.Approve budget allocation, pacing, measurement approach, and experiment design
- 6.Confirm ownership, timing, dependencies, and success measures for each action
- 7.Launch plan through mutation gates when ready to implement
Use cases
- Develop a multi-channel paid-media strategy for a new product launch
- Create a PPC campaign architecture with audience segmentation and budget allocation
- Plan a paid-social strategy across Meta platforms with creative hypotheses and learning phases
- Build an advertising roadmap with staged testing and optimization phases
- Design measurement and reporting frameworks for campaign performance tracking
- Marketing strategists and paid-media planners
- Performance marketing managers
- Digital advertising directors
- Campaign architects
- Marketing operations and analytics teams
ads-plan FAQ
No. The skill evaluates channel roles and exclusions from first principles; platforms are included only when strategically justified for your objectives and constraints.
The skill plans for measurement validation, explicit creative hypotheses, staged reversible tests, and confidence labels rather than applying mature-account benchmarks to missing history.
The skill returns both canonical JSON for programmatic use and human-readable advertising plans formatted for stakeholder review and implementation.
Yes. For unsupported platforms, the skill loads additional-platforms reference material and returns a research lead unless current buying, eligibility, measurement, and creative evidence is present.
Every action is assigned an owner, timing, dependency, guardrail, evidence measure, and rollback or exit condition to ensure phased, reversible implementation.
Full instructions (SKILL.md)
Source of truth, from agricidaniel/claude-ads.
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
- 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.mdand 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 orunknown, 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.
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