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cold-start-path

Choose the best first growth path for a new product, new shop, or weak early-stage offer based on product shape, margin room, content readiness, and channel constraints. Use when the user asks what to do first instead of trying search, creators, ads, live, and content all at once.

作者: admin | 来源: ClawHub
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ClawHub
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V 1.0.0
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cold-start-path

# Cold Start Path Choose the first path before the team wastes time spreading effort everywhere. ## Skill Card - **Category:** Growth Planning - **Core problem:** What should we try first for cold start? - **Best for:** New products, new stores, and stalled early-stage launches - **Expected input:** Product info + margin room + asset readiness + channel constraints - **Expected output:** First-path recommendation + why now + what to delay - **Creatop handoff:** Feed decision into first-week content, creator, and ad execution ## Before you run Ask the user to clarify: - product category - average selling price - margin room - whether the item is standard or non-standard - whether they have content assets already - whether they have creator access - whether they have ad budget - which channels are already live If key facts are missing, ask for them before recommending a path. ## Optional tools / APIs Useful but not required: - store export - ad spend export - product sheet - search trend export - Google Sheets / CSV If no tools are connected, continue with user-provided constraints and label the result as rule-based guidance. ## Workflow 1. Confirm cold-start scope. 2. Classify the product by margin, complexity, and content-friendliness. 3. Check readiness across five paths: - search - merchant content - creator content - paid ads - live selling 4. Recommend the best first path. 5. Name the second path to add later. 6. Explicitly say what not to do yet. ## Output format Return in this order: 1. Executive summary 2. Best first path 3. Why this path fits now 4. What to delay 5. First 7-day move list ## Fallback mode If the user only gives a rough product description: - infer the most likely first path from product type, margin, and asset readiness - mark assumptions clearly - avoid fake certainty ## Quality rules - Do not recommend five paths at once. - Favor sequencing over complexity. - Match the path to actual constraints, not ideal conditions. - Say “not enough info” when the path depends on missing economics. ## License Copyright (c) 2026 **Razestar**. This skill is provided under **CC BY-NC-SA 4.0** for non-commercial use. You may reuse and adapt it with attribution to Razestar, and share derivatives under the same license. Commercial use requires a separate paid commercial license from **Razestar**. No trademark rights are granted.

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skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 cold-start-path-1776181682 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 cold-start-path-1776181682 技能

通过命令行安装

skillhub install cold-start-path-1776181682

下载 Zip 包

⬇ 下载 cold-start-path v1.0.0

文件大小: 2.37 KB | 发布时间: 2026-4-17 14:27

v1.0.0 最新 2026-4-17 14:27
Add focused cold-start path skill with preflight questions and fallback guidance.

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