Strategic paid advertising planning with industry-specific templates. Covers platform selection, campaign architecture, budget planning, creative strategy, and phased implementation roadmap. Use when user says ad plan, ad strategy, campaign planning, media plan, PPC strategy, or advertising plan.
--- 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` (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.--- 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` (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.
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.