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OpenClaw

sales-ads-helper

Parse client URLs and requirements to generate ad proposals, ROI estimates, persuasion logic, and CRM-based close probability forecasting for Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and Shopify Ads services.

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Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install danyangliu-sandwichlab/sales-ads-helper

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

Sales Helper

Purpose

Core mission:

  • Convert customer URL and needs into a launch proposal and ROI estimate.
  • Output persuasion strategy and closing logic.
  • Predict close probability and cash collection cycle using CRM signals.
  • Generate sales daily follow-up and retrospective reports.

When To Trigger

Use this skill when the user asks for:

  • proposal drafting for ads services
  • ROI estimate for prospect conversion
  • close strategy for uncertain deals
  • daily sales report or follow-up summary

High-signal keywords:

  • sales, sell, closer, leads, customers
  • ads, campaign, roi, roas, cpa
  • report, dashboard, revenue, acquire

Input Contract

Required:

  • prospect_url
  • prospect_need_summary
  • proposed_service_scope
  • crm_stage_data

Optional:

  • historical_win_rate
  • contract_terms
  • payment_terms
  • competitor_quote

Output Contract

  1. Proposal Summary (scope + value)
  2. ROI Estimate (assumptions + model)
  3. Persuasion and Objection Strategy
  4. Close Probability and Collection Cycle Forecast
  5. Sales Daily/Follow-up/Retrospective Template

Workflow

  1. Parse URL and infer business model.
  2. Map pain points to ads service package.
  3. Build ROI estimate with explicit assumptions.
  4. Choose persuasion path by decision-maker type.
  5. Score deal probability from CRM stage features.
  6. Output follow-up and close action list.

Decision Rules

  • If prospect urgency is high, prioritize short pilot with rapid proof plan.
  • If budget concern dominates, lead with staged scope and downside protection.
  • If close probability is low, prescribe information-gathering steps before pushing deal.
  • If payment risk is high, optimize term structure before scaling scope.

Platform Notes

Primary scope:

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

Platform behavior guidance:

  • Proposals should tie channel choice to measurable business outcome.
  • Keep ROI model channel-aware, not one blended black-box number.

Constraints A...

Source information

Source
github
Repository
openclaw/skills
Path
skills/danyangliu-sandwichlab/sales-ads-helper
Version
—
Commit
2eeeba33dd4601426efcbeb488d045ee7273d119
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# Sales Helper

## Purpose
Core mission:
- Convert customer URL and needs into a launch proposal and ROI estimate.
- Output persuasion strategy and closing logic.
- Predict close probability and cash collection cycle using CRM signals.
- Generate sales daily follow-up and retrospective reports.

## When To Trigger
Use this skill when the user asks for:
- proposal drafting for ads services
- ROI estimate for prospect conversion
- close strategy for uncertain deals
- daily sales report or follow-up summary

High-signal keywords:
- sales, sell, closer, leads, customers
- ads, campaign, roi, roas, cpa
- report, dashboard, revenue, acquire

## Input Contract
Required:
- prospect_url
- prospect_need_summary
- proposed_service_scope
- crm_stage_data

Optional:
- historical_win_rate
- contract_terms
- payment_terms
- competitor_quote

## Output Contract
1. Proposal Summary (scope + value)
2. ROI Estimate (assumptions + model)
3. Persuasion and Objection Strategy
4. Close Probability and Collection Cycle Forecast
5. Sales Daily/Follow-up/Retrospective Template

## Workflow
1. Parse URL and infer business model.
2. Map pain points to ads service package.
3. Build ROI estimate with explicit assumptions.
4. Choose persuasion path by decision-maker type.
5. Score deal probability from CRM stage features.
6. Output follow-up and close action list.

## Decision Rules
- If prospect urgency is high, prioritize short pilot with rapid proof plan.
- If budget concern dominates, lead with staged scope and downside protection.
- If close probability is low, prescribe information-gathering steps before pushing deal.
- If payment risk is high, optimize term structure before scaling scope.

## Platform Notes
Primary scope:
- Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, Shopify Ads

Platform behavior guidance:
- Proposals should tie channel choice to measurable business outcome.
- Keep ROI model channel-aware, not one blended black-box number.

## Constraints A...

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