先看看示例
作者提供的示例，实际效果取决于你的输入和使用工具。
输入
为新品制定Meta与搜索广告计划：明确转化目标与预算分配，因账户冷启动先做衡量验证与小规模可逆实验，再分阶段放量。
输出
预期交付：结构化广告计划，含渠道角色、预算节奏、衡量方案与各动作负责人及回滚条件。（编辑说明，非实际运行结果）
方法说明
--- 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.