转化漏斗诊断与成交优化

SKILL商业运营

原名 VentureKit 转化漏斗与成交优化|简诗 AI · 标识 sales-venturekit

商业运营 未标注权限 许可证不明确
安装这个技能

围绕转化漏斗与成交环节给出具体做法,覆盖主题创意、视觉结构、物料清单和落地检查,帮助梳理从吸引到成交的每一步。

一句话选型结论

按资料字段整理

转化漏斗诊断与成交优化是商业运营类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类商业运营 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
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权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_fccf428b/sales-venturekit
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

商业运营
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_fccf428b仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验2026-11-06上游最后核验时间 · 数据更新 2026-11-06
正文体量15.3 KBSKILL.md 原文大小,越大说明说明书写得越细

能做什么

0 项能力
上游给出的能力概览与适用场景
梳理转化漏斗环节准备营销物料清单检查落地页与成交点

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
写运营方案

按目标产出活动方案与执行清单。

分析数据与指标

从报表里找问题、给结论。

整理客户与销售材料

把客户信息与话术整理成可直接用的材料。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在商业运营场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
转化漏斗诊断与成交优化当前 未标注权限 未标注 未标注 未标注 有
MX 股票筛选器 联网访问 ClawHub 市场 79.9 万 OpenClaw 有
交易 未标注权限 ClawHub 市场 58.1 万 OpenClaw 有
营销技巧 只读 ClawHub 市场 54.0 万 OpenClaw 有
百灵鸟好 联网访问 GitHub 仓库 52.6 万 Codex、Claude、Cursor 有
股票信息浏览器 接触敏感数据 ClawHub 市场 40.5 万 OpenClaw 有

SKILL.md 全文

15.3 KB
模型实际读到的说明书原文,来自技能仓库

VentureKit Platform Help

VentureKit (venturekit.ai) is AI business-planning software for first-time founders and small-business
owners. You describe an idea and it generates a full business plan (multi-section, ~28 pages), editable
financial forecasts
(revenue, expenses, P&L, balance sheet), a pitch deck (designer themes), a market
research
report, an always-on AI business assistant, and a Radar monitor — and it can also form
your LLC
(articles of organization, EIN, registered agent, state filings) as a separate paid service. Its
angle vs the idea-validator cluster is lender/SBA-ready plans to secure funding, a very generous free
tier
, and an Agency tier for consultants writing many plans. The catch: the plan and financials are
AI-generated estimates — reviewers note it can invent details and read cookie-cutter — and it's UI-only
with no public API
. (Note: venturekit.ai is the tool; venturekit.com is an unrelated product.)

Step 1 — Gather context

If references/learnings.md exists, read it first for accumulated platform knowledge.

Ask only what you can't infer:

  1. What do you want from VentureKit?
    - A) Generate/edit a plan, financials, pitch deck, or market research and interpret the output
    - B) Make the plan lender-ready / SBA-ready for a loan or investor
    - C) Understand the tiers — Free vs Pro vs Agency (plan limits), or the LLC Formation service
    - D) Export or automate plan generation (the API reality)
  2. What's the real question — "is this idea worth building?" or "how do I use this tool?" If it's the
    go/no-go decision itself, that's /sales-idea-validation (a generated plan is a document, not demand) —
    route in Step 2.

Skip-ahead: if the user wants the validate-before-building method or to compare business-plan/validator
tools across the market to pick one, that's a /sales-idea-validation question — route immediately.

Step 2 — Route or answer directly

If the user's question is about… Route to
The validate-before-building method, or the go/no-go decision itself /sales-idea-validation {question}
A cross-market ranking of business-plan/validator tools (LivePlan, Upmetrics, VenturusAI… to pick one) — but answer a quick VentureKit-vs-X how-they-differ inline first (Step 4) /sales-idea-validation {question}
Building the smoke-test / fake-door landing page to test real demand /sales-funnel {question}
Growing a pre-launch waitlist / capturing real demand /sales-audience-growth {question}

When routing, give the exact command: "This is a {domain} question — run: /sales-idea-validation {original question}"

Otherwise, answer VentureKit-specific questions using Step 3.

Step 3 — VentureKit platform reference

Read references/platform-guide.md for the full reference — the module set (business plan, financials,
pitch deck, market research, AI Assistant, Radar) and what each contains, what's editable vs generated, the
Free/Pro/Agency tiers with plan limits, the LLC Formation & registered-agent service and pricing, the
no-public-API reality and the manual PDF/print export, and how to feed it a rich input to avoid generic output.

Answer using only the relevant section — don't dump the full reference.

Step 4 — Actionable guidance

  • Treat the generated plan and financials as AI estimates, not facts — and swap in real numbers before a
    lender sees them.
    VentureKit writes a polished, structured plan fast, but reviewers note it can invent
    details out of thin air
    and read cookie-cutter, and the financial projections are the model's guesses.
    Tell the user to keep the structure/outline and market-research framing, then replace the forecasts,
    market size, and unit economics with their own real numbers
    — a bank or SBA underwriter will scrutinize the
    financials, and AI-padded projections are the fastest way to lose credibility.
  • Separate "make it lender/SBA-ready" from "is this idea validated." A fundable-looking plan is a
    document, not demand — VentureKit will happily generate a confident plan for an idea nobody wants. If the
    real question is build-or-not, put the go/no-go on a real demand test (smoke test / pre-sale) and route
    it to /sales-idea-validation; use VentureKit for the plan/pitch once demand is real.
  • Present all pricing/tiers as best-effort and point to venturekit.ai/pricing. Frame the tiers around what
    breaks: Free gives unlimited "light" plans + a small number of full plans per month (commonly cited
    as 3) with forecasts, pitch deck, market research, AI Assistant, and Radar; Pro raises limits (its price
    is quoted inconsistently across sources — verify on site); Agency is the many-plans-per-month tier
    built for consultants. The LLC Formation service and registered agent are separate annual fees. If the user only needs one or a few plans, tell them the free tier is enough — they don't need Pro or Agency (those solve higher monthly volume, not more features).
  • There's no usable public API — don't plan an integration around it. State plainly that VentureKit is
    UI-only: no public API, no webhooks, no Zapier/Make, no MCP. The only reliable export is the plan
    itself (PDF/print/share)
    done manually. If programmatic plan generation matters, call an LLM API
    directly
    or pick a tool built for it — don't build a pipeline on VentureKit.
  • The single biggest lever is input richness — coach it. Generic output traces to a thin one-line idea.
    Tell the user to feed a detailed description (target customer, the specific problem, how it's solved
    today, the business model, pricing) and to edit the draft heavily; richer input in → specific plan out.
  • No team collaboration — flag it for team planners. VentureKit is a solo, AI-first generator with no
    real-time co-editing; if the user needs a collaborative plan with teammates or an advisor, that's a
    cross-market comparison → route to /sales-idea-validation for LivePlan/Upmetrics-style alternatives.

If you discover a gotcha or tip not in references/learnings.md, append it there with today's date.

Gotchas

Best-effort from research (2026-07) — VentureKit's tiers, plan limits, and features move; verify at venturekit.ai/pricing.

  • AI-generated financials are guesses. Revenue/expense/P&L/balance-sheet projections are the model's
    estimates, not grounded numbers — replace them with your own before a lender or investor reviews them.
  • Plans can read cookie-cutter / invented. Reviewers flag that it can fabricate details and lacks human
    nuance; a thin input makes it worse. Feed a rich description and edit heavily.
  • A generated plan is not validated demand. It will produce a confident plan for an unwanted idea — settle
    the go/no-go with a real behavior test (smoke test / pre-sale), not the plan.
  • No public API / no automation. UI-only: no API, webhooks, Zapier/Make, or MCP. Export is the manual
    PDF/print only; automate with an LLM API instead.
  • No team collaboration. Solo generator, no real-time co-editing — unsuitable for team/advisor planning
    (LivePlan/Upmetrics do that).
  • Free tier caps full plans. "Light" plans are unlimited but full plans are limited per month (commonly
    cited as 3); the Agency tier is the many-plans option. Verify current numbers on the pricing page.
  • LLC Formation is a separate paid service. Business-entity formation, EIN, and registered agent are
    annual fees on top of the planning tiers — compare against dedicated formation services before buying.
  • Domain collision. venturekit.ai is this tool; venturekit.com is an unrelated product — don't
    conflate reviews or docs across the two.

Related skills

  • /sales-idea-validation — The tool-agnostic validate-before-building method + the full business-plan/validator landscape (use this to actually decide build-or-not; a generated plan is a document, not demand)
  • /sales-plannit — Plannit AI platform help (the closest sibling — an AI business-plan generator, now rebranded AIGenerator.com, with a questionnaire → 15–20 page plan, financial projections, a pitch deck, and — unlike VentureKit — real-time team collaboration; UI-only/no public API)
  • /sales-upmetrics — Upmetrics platform help (the mature-suite sibling — deeper multi-year forecasting, plan-vs-actuals tracking, QuickBooks/Xero import, real-time collaboration, and a Professional/white-label tier for consultants that VentureKit lacks; UI-only/no public API)
  • /sales-venturusai — VenturusAI platform help (framework-driven validator — SWOT/PESTEL/Porter/VRIO + sizing/financials/pitch deck; the analysis-report sibling to VentureKit's full-plan generator)
  • /sales-informly — Informly platform help (one freeform idea → a 75+ page PDF report bundle; per-report pricing, the document-generator sibling)
  • /sales-ideaproof — IdeaProof platform help (120s viability score + pre-launch suite; the fast-score sibling)
  • /sales-validator-ai — Validator AI platform help (a free score-and-report validator — the fast-gut-check sibling)
  • /sales-funnel — Build the smoke-test / fake-door landing page the real demand test runs on
  • /sales-audience-growth — Grow a pre-launch waitlist and capture real demand
  • /sales-do — Not sure which skill to use? The router matches any sales objective to the right skill. Install: npx skills add sales-skills/sales --skill sales-do -a claude-code

Examples

Example 1: "VentureKit made me a great plan with financials — can I take it to my bank for a loan?"

User says: "VentureKit generated a full business plan with revenue projections and a P&L. Can I hand this to my bank/SBA for a loan?"
Skill does: Credits the structure and speed but warns the financials are AI estimates — VentureKit can
invent details, so a lender/underwriter will scrutinize numbers that read padded. Tells the user to keep the
outline and market-research framing but replace every forecast, market-size, and unit-economics figure with
their own real numbers
before submitting, and to sanity-check assumptions against a primary source. Adds
that a fundable-looking plan is a document, not validated demand — if the go/no-go is still open, route it to
/sales-idea-validation.
Result: The founder submits a plan grounded in real numbers instead of AI-padded projections.

Example 2: "Can I pull my VentureKit plans out via the API into my own app?" (developer/automation)

User says: "I want to script VentureKit to generate 15 plans and pull each one into my database via the API or a webhook."
Skill does: States plainly that VentureKit is UI-only — there is no public API, no webhooks, no
Zapier/Make, and no MCP
— so there's no supported way to batch-generate or export programmatically. Notes
the only reliable export is the plan PDF/print/share done manually, and that if programmatic plan
generation is essential the user should call an LLM API directly or pick a tool built for automation.
Points out the thing actually worth automating is a real demand signal (landing-page analytics), not a
generated plan — routing that to /sales-funnel.
Result: The user avoids planning an integration around a nonexistent API and picks a workable path.

Example 3: "Is VentureKit's free plan enough, or do I need Pro or the Agency plan?" (tiers)

User says: "I just need one solid business plan and a pitch deck. Is the free VentureKit plan enough, or should I pay for Pro/Agency?"
Skill does: Explains the Free tier already includes unlimited light plans plus a small number of full
plans per month (commonly cited as 3) with financial forecasts, a pitch deck, market research, the AI
Assistant, and Radar — so for a single plan it's usually enough. Notes Pro raises limits (price quoted
inconsistently — verify on site) and Agency is the many-plans-per-month tier for consultants, and that
LLC Formation is a separate annual fee. Presents all figures as best-effort and points to
venturekit.ai/pricing.
Result: The user picks the free tier for a one-off plan instead of over-buying.

Troubleshooting

"My VentureKit plan reads generic — it could describe any business"

Symptom: The plan is vague and not specific to the idea.
Cause: A thin, one-line input — VentureKit generates over whatever you give it, so a short description
yields a short, cookie-cutter plan, and it can invent filler to reach length.
Solution: Feed a detailed description — target customer, the exact problem, how people solve it today,
the business model and pricing — then edit the draft heavily and replace the AI's placeholder numbers.
Still settle the go/no-go with a real demand test via /sales-idea-validation.

"The financial projections look too good — will a lender trust them?"

Symptom: Clean, optimistic revenue/P&L projections the founder didn't enter.
Cause: The forecasts are AI-generated estimates, not grounded in the founder's real costs, pricing, or
traction — a bank/SBA underwriter will probe them.
Solution: Treat the forecast as a template to overwrite — plug in real unit economics, costs, and a
defensible growth assumption, and cite sources for market size. Keep VentureKit's structure; own the numbers.

"I want to export or automate my plans and there's no API"

Symptom: Can't find developer docs or an export API.
Cause: VentureKit is UI-only — no public API, webhooks, Zapier/Make, or MCP is documented.
Solution: Export the plan manually as PDF/print/share. If programmatic generation is core to your
workflow, call an LLM API directly or choose a business-plan tool built for automation — don't build a
pipeline on VentureKit.

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常见问题

5 问
答案由本站依据条目字段整理
转化漏斗诊断与成交优化怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_fccf428b/sales-venturekit。安装方式为未标注。装完刷新技能列表或重开客户端。

转化漏斗诊断与成交优化支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

转化漏斗诊断与成交优化权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

转化漏斗诊断与成交优化收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

转化漏斗诊断与成交优化用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 2026-11-06。