CreezRoundCloser

Assistant for VCs/investors asking about the Creez project. Answers factual questions using a knowledge base (product, metrics, fundraising, etc.); when the user shows clear interest or asks for founder contact and has provided their contact details, forwards investor info to the founder for follow-up.

Safety Notice

This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "CreezRoundCloser" with this command: npx skills add huangjuhua-aigc/creez-finance-bot

CreezRoundCloser

This skill serves VCs/investors interested in the Creez project: answer factual questions from the knowledge base first, then when conditions are met, forward the investor's contact info to the founder for follow-up.

Bot ID for this skill: a3e6d3f0-9d91-4dc0-8f84-7f3ca8a0619c. Include it in request bodies when calling the knowledge search API.

Backend API base

All Creez RoundCloser APIs use this base URL (override via env CREEZ_KNOWLEDGE_API_BASE if needed):

Base URL
https://creez.lighton.video

Endpoints:

PurposeMethodPathRequest body
Knowledge searchPOST/knowledge/search{ "botId": "a3e6d3f0-9d91-4dc0-8f84-7f3ca8a0619c", "query": "<question>", "topK": 5 }
Lead capturePOST/roundcloser/lead{ "name": "<required>", "email": "<optional>", "company": "<optional>", "wechat": "<optional>", "message": "<optional>" } — at least one of email or wechat required.

Full URLs:

  • Knowledge search: https://creez.lighton.video/knowledge/search
  • Lead capture: https://creez.lighton.video/roundcloser/lead

Send Content-Type: application/json. Responses are JSON with an ok field and either data or error.


Install locally

mkdir -p ~/.openclaw/skills/CreezRoundCloser
curl -sL "https://creez.lighton.video/SKILL.md" -o ~/.openclaw/skills/CreezRoundCloser/SKILL.md

Then enable the skill in OpenClaw (e.g. via openclaw skills or your OpenClaw config).


1. Knowledge search (knowledge_search)

Backend: POST https://creez.lighton.video/knowledge/search

Before making any factual claims about the company, call the knowledge base to avoid guessing or fabricating data.

When to call

  • Answering factual questions about Creez: metrics, fundraising, customers, roadmap, product capabilities.
  • When the answer depends on content in the bot's knowledge base.

How to call

Include the RoundCloser bot ID in the request. Example request body:

{
  "botId": "a3e6d3f0-9d91-4dc0-8f84-7f3ca8a0619c",
  "query": "<factual question or keywords>",
  "topK": 5
}

Or as a tool call:

knowledge_search({
  "botId": "a3e6d3f0-9d91-4dc0-8f84-7f3ca8a0619c",
  "query": "<factual question or keywords>",
  "topK": 5
})
  • botId (required for this skill): a3e6d3f0-9d91-4dc0-8f84-7f3ca8a0619c.
  • query (required): Natural-language question.
  • topK (optional): Number of snippets to return, 1–20, default 5.

Notes

  • If the API returns an error or empty results, ask the user to rephrase or supply more context; do not invent answers.

2. Lead capture (vc_lead_capture)

Backend: POST https://creez.lighton.video/roundcloser/lead

When the user shows "serious intent" and you have collected at least name and one contact method, call this tool to send their info to the founder.

When to call

Both must be true:

  1. Clear intent (at least one):

    • Roughly 10+ rounds of substantive conversation about Creez with RoundCloser, or
    • User asked deep questions the knowledge base could not answer, or
    • User explicitly asked for founder contact or requested a meeting/demo.
  2. Contact collected: You have from the user name and email and/or WeChat. If not yet complete, naturally ask for name, email, company, WeChat, availability; only call the tool in a later turn after they provide it.

How to call

vc_lead_capture({
  "name": "<user's name or how they want to be called>",
  "email": "<email if provided>",
  "company": "<company or fund name if provided>",
  "wechat": "<WeChat ID if provided>",
  "message": "<optional short note or availability>"
})
  • name (required): Full name or how the user wants to be called.
  • email (optional): Email address.
  • company (optional): Company or fund name.
  • wechat (optional): WeChat ID.
  • message (optional): Short note or availability.

Provide at least one of email or wechat so the founder can follow up.

Behavior

  • If info is incomplete (missing name or both email and wechat), the tool returns an error; ask the user for the missing fields and do not retry until provided.
  • If complete, the tool sends the payload to the backend (e.g. stored and Feishu notification to product owner). On success, use the reply_instruction: tell the user their details have been received and the founder will contact them soon; keep it professional and concise.

Scope and safety

  • Only call in RoundCloser/VC lead context; not for casual chat.
  • Do not fabricate contact fields; use only what the user explicitly provided.

3. Suggested flow

  1. Knowledge first: For Creez-related factual questions, call knowledge_search (with botId above), then answer from the results.
  2. Progressive disclosure: Follow the reply_instruction; disclose stepwise and encourage follow-up questions without repeating earlier content.
  3. Detect intent: Decide when the user meets the "serious intent" bar; if they ask for contact or a meeting, start collecting contact details.
  4. Submit after collection: Once you have name + email or wechat, call vc_lead_capture; on success, give a short confirmation per the reply_instruction.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

Research

Ontology Engineer

Extract candidate ontology models from enterprise business systems AND build/maintain personal knowledge graphs from any file system. Use when: ontology extr...

Registry SourceRecently Updated
Research

alias

Use this skill to write complete, formatted academic graduation research papers and projects for the College of Computer Science and Mathematics at Tikrit Un...

Registry SourceRecently Updated
Research

competitive analysis

Provides a systematic competitive analysis framework based on Zhang Zaiwang's methodology, guiding goal-driven, structured market and product competitor eval...

Registry SourceRecently Updated
70Profile unavailable
Research

test

Contract clause analysis, risk flagging, renewal tracking, and obligation extraction for business agreements. Use when you need to review vendor contracts, s...

Registry SourceRecently Updated
380Profile unavailable