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Readme & install
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Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill openclaw/skills --skill sales-proposal-simulator- _meta.json310 B
- metadata.json81 B
- SKILL.md4.2 KB
Overview
This skill builds persuasive, close-ready sales proposals and operational close plans for ad services across Meta, Google Ads, TikTok, YouTube, Amazon, and Shopify. It focuses on converting client goals into measurable ad outcomes, objection handling, and a step-by-step close path tied to ROI logic and risk controls.
How this skill works
Provide the required inputs (client_request, business_context, offer_scope) and optional constraints or objections. The skill summarizes objectives, translates them into north-star KPIs, creates a channel-aware scope and deliverables list, models ROI/KPI ranges, scripts objection responses, and produces a next-steps close plan with stop-loss rules. If inputs are incomplete, it requests the minimum missing fields and flags confidence levels and validation checks.
When to use it
- Preparing an agency proposal or SOW for paid acquisition across one or more ad platforms
- Designing a pilot to validate ROAS/CPA improvements with limited budget
- Negotiating renewals where the client needs KPI commitments or proof
- Launching a new product or market rollout without historical ad data
- Creating a mitigation and stop-loss plan before scaling spend
Best practices
- Anchor on one measurable north-star KPI if the client goal is vague (e.g., CPA, ROAS, revenue per user)
- Produce channel-specific tactics (creative cadence for Meta/TikTok; intent capture for Google/Amazon)
- Include a phased pilot with milestone gates when budget or trust is limited
- State assumptions explicitly and separate observed facts from modeled projections
- Always include at least one rollback/stop-loss condition tied to spend or KPI thresholds
Example use cases
- Lower CPA in 30 days for an e‑commerce client running Meta and Google Ads: pilot scope, KPI promise range, and close checklist
- Global launch for a DTC brand with no baseline: phased rollout, risk clauses, and reporting cadence
- Renewal negotiation where client doubts ROI: retrospective evidence, revised operating model, and signed next-step plan
- Amazon Ads push to capture demand for a seasonal SKU: bid strategy, listing intent targets, and stop-loss on ACoS
- Shopify Ads funnel optimization to improve conversion rate: creative test plan, tracking validation, and phased budget scale
FAQ
Provide client_request, business_context (product, margin, seasonality), and offer_scope. If missing, I will ask for only the critical field needed to model KPIs.
How do you handle low budgets or limited trust?
Recommend a phased pilot with strict milestone gates, capped spend, and explicit stop-loss criteria tied to agreed KPIs.