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The skill is an instruction-only proposal generator whose requested resources, instructions, and scope align with its advertised purpose and it does not request credentials, installs, or system access.

安装（复制给龙虾 AI）

将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。

请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Ads Sales Proposal」。简介：Build persuasive sales proposals and close plans for ad services spanning Meta …。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/danyangliu-sandwichlab/sales-proposal-simulator/SKILL.md
（来源：yingzhi8.cn 技能库）

SKILL.md

打开原始 SKILL.md（GitHub raw）

---
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