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Cold Start Path
作者
LeroyCreates
· GitHub ↗
· v1.0.0
· MIT-0
153
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0
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当前安装
1
版本数
在 OpenClaw 中安装
/install cold-start-path
功能描述
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...
使用说明 (SKILL.md)
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
- Confirm cold-start scope.
- Classify the product by margin, complexity, and content-friendliness.
- Check readiness across five paths:
- search
- merchant content
- creator content
- paid ads
- live selling
- Recommend the best first path.
- Name the second path to add later.
- Explicitly say what not to do yet.
Output format
Return in this order:
- Executive summary
- Best first path
- Why this path fits now
- What to delay
- 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.
安全使用建议
This skill is an instruction-only advisor and appears coherent and low-risk: it will not access your accounts or files unless you explicitly provide exports or connect tools. Before using it, (1) be prepared to answer the clarifying questions the skill asks; (2) avoid attaching full account credentials—if you share exports (store CSV, ad spend), sanitize or remove sensitive fields you don't want exposed; (3) note the license: CC BY-NC-SA 4.0 for non-commercial use and a separate paid license is required for commercial use; and (4) if you plan to connect live services, review and authorize those connections separately and only when necessary.
功能分析
Type: OpenClaw Skill
Name: cold-start-path
Version: 1.0.0
The skill bundle is a growth strategy tool designed to guide an AI agent in recommending marketing paths for new products. It contains only metadata, markdown instructions (SKILL.md), and an output template (references/output-template.md). There is no executable code, no evidence of data exfiltration, and no malicious prompt injection; the instructions are strictly aligned with the stated purpose of business analysis.
能力评估
Purpose & Capability
The name and description (choose a first growth path for cold starts) match the SKILL.md: it asks for product/category, margin, content readiness, and channel constraints. There are no unrelated environment variables, binaries, or config paths requested.
Instruction Scope
The runtime instructions stay within the growth-planning scope (ask clarifying questions, classify product, check readiness across five paths, recommend first path, provide 7-day moves). It optionally refers to connecting exports (store export, ad spend, Google Sheets/CSV) which are relevant to the task; the skill appropriately says to proceed with rule-based guidance when no tools are connected. Recommend that users only supply or connect data they are comfortable sharing and sanitize sensitive fields before providing exports.
Install Mechanism
No install spec and no code files beyond documentation — instruction-only. Nothing is downloaded or written to disk by the skill itself.
Credentials
The skill declares no required environment variables or credentials. The optional tools listed (store exports, ad spend, sheets) are proportional to the purpose but would require user consent to provide; there is no automatic credential access requested.
Persistence & Privilege
always is false and the skill does not request persistent system presence or modify other skills. Autonomous invocation is allowed (platform default) but not combined with elevated privileges or credentials here.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install cold-start-path - 安装完成后，直接呼叫该 Skill 的名称或使用
/cold-start-path触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Add focused cold-start path skill with preflight questions and fallback guidance.
元数据
常见问题
Cold Start Path 是什么？
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... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 153 次。
如何安装 Cold Start Path？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install cold-start-path」即可一键安装，无需额外配置。
Cold Start Path 是免费的吗？
是的，Cold Start Path 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Cold Start Path 支持哪些平台？
Cold Start Path 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Cold Start Path？
由 LeroyCreates（@leooooooow）开发并维护，当前版本 v1.0.0。
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