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// Skill profile

Ads Sales Proposal

name: sales-proposal-simulator

by danyangliu-sandwichlab · published 2026-03-22

数据处理自动化任务加密货币
Total installs
0
Stars
★ 0
Last updated
2026-03
// Install command
$ claw add gh:danyangliu-sandwichlab/danyangliu-sandwichlab-sales-proposal-simulator
View on GitHub
// Full documentation

---

name: sales-proposal-simulator

description: Build persuasive sales proposals and close plans for ad services spanning Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and Shopify Ads.

---

# Ads Sales Proposal

Purpose

Core mission:

  • proposal architecture, objection handling, closing path

    • This skill is specialized for advertising workflows and should output actionable plans rather than generic advice.

    When To Trigger

    Use this skill when the user asks for:

  • ad execution guidance tied to business outcomes
  • growth decisions involving revenue, roas, cpa, or budget efficiency
  • platform-level actions for: Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, Shopify Ads
  • this specific capability: proposal architecture, objection handling, closing path

    • High-signal keywords:

  • ads, advertising, campaign, growth, revenue, profit
  • roas, cpa, roi, budget, bidding, traffic, conversion, funnel
  • meta, googleads, tiktokads, youtubeads, amazonads, shopifyads, dsp

    • Input Contract

    Required:

  • client_request: what the client wants to achieve
  • business_context: product, margin, seasonality
  • offer_scope: service package or campaign scope

    • Optional:

  • objections
  • competitor_reference
  • contract_constraints
  • expected_start_date

    • Output Contract

    1. Proposal Positioning

    2. Scope and Deliverables

    3. ROI Logic and KPI Commitment Range

    4. Objection Handling Script

    5. Close Plan with next steps

    Workflow

    1. Summarize client objective and urgency.

    2. Translate objective into measurable ad outcomes.

    3. Build value argument and risk controls.

    4. Prepare objection responses and confidence proof.

    5. Output a close-ready proposal structure.

    Decision Rules

  • If goal is vague, anchor on one north-star KPI first.
  • If budget is low, propose phased pilot with strict milestone gates.
  • If trust is low, lead with transparent assumptions and reporting cadence.

    • Platform Notes

    Primary scope:

  • Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, Shopify Ads

    • Platform behavior guidance:

  • Keep recommendations channel-aware; do not collapse all channels into one generic plan.
  • For Meta and TikTok Ads, prioritize creative testing cadence.
  • For Google Ads and Amazon Ads, prioritize demand-capture and query/listing intent.
  • For DSP/programmatic, prioritize audience control and frequency governance.

    • Constraints And Guardrails

  • Never fabricate metrics or policy outcomes.
  • Separate observed facts from assumptions.
  • Use measurable language for each proposed action.
  • Include at least one rollback or stop-loss condition when spend risk exists.

    • Failure Handling And Escalation

  • If critical inputs are missing, ask for only the minimum required fields.
  • If platform constraints conflict, show trade-offs and a safe default.
  • If confidence is low, mark it explicitly and provide a validation checklist.
  • If high-risk issues appear (policy, billing, tracking breakage), escalate with a structured handoff payload.

    • Code Examples

    Proposal Skeleton

    section: Objective

    section: Channel Plan

    section: Budget and KPI Range

    section: Risks and Mitigation

    section: Next-step Commitment

    Objection Response Map

    objection: "CPA too high"

    response: "Pilot 14 days with capped budget and clear stop-loss"

    Examples

    Example 1: Performance growth proposal

    Input:

  • Client wants lower CPA in 30 days
  • Current channels: Meta + Google Ads

    • Output focus:

  • pilot scope
  • KPI promise range
  • close checklist

    • Example 2: New product launch proposal

    Input:

  • Client has no baseline data
  • Wants global ads rollout

    • Output focus:

  • phased contract scope
  • risk clauses
  • reporting cadence

    • Example 3: Renewal negotiation proposal

    Input:

  • Existing client doubts ROI
  • Needs proof before extension

    • Output focus:

  • retrospective evidence summary
  • revised operating model
  • signed next-step plan

    • Quality Checklist

  • [ ] Required sections are complete and non-empty
  • [ ] Trigger keywords include at least 3 registry terms
  • [ ] Input and output contracts are operationally testable
  • [ ] Workflow and decision rules are capability-specific
  • [ ] Platform references are explicit and concrete
  • [ ] At least 3 practical examples are included
    • // Comments
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