What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

BigPlan · 产品调研（市场分析·技术评估·项目研发·产品方案）| Product Research & Planning

🔍 BigPlan · AI产品调研 — 按产品方向分析市场/竞品/技术/供应链，输出高中低三套产品规格方案。产品调研、市场分析、竞品分析、技术评估、项目可行性一站式。| Product research, competitive analysis, market analysis, technical assessment, product planning. Skill: BigPlan · 产品调研（市场分析·技术评估·项目研发·产品方案）| Product Research & Planning Owner: kobenfang Summary: 🔍 BigPlan · AI产品调研 — 按产品方向分析市场/竞品/技术/供应链，输出高中低三套产品规格方案。产品调研、市场分析、竞品分析、技术评估、项目可行性一站式。| Product research, competitive analysis, market analysis, technical assessment, product planning. Tags: ai:1.0.5, analysis:1.0.5, business:1.0.5, hardware:1.0.5, latest:1.0.5, market:1.0.5, product:1.0.5, research:1.0.5, strategy:1.0.5,

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.1k

Updated

Oct 11, 2026

Version

1.0.5

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.1K downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1.1K downloadsadoption · observed Oct 11, 2026
Latest release: 1.0.5release · observed Aug 26, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17d3b7awhw6q33gb5epw1jkqn85c871:bigplan

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-kobenfang-bigplan/snapshot"

Documentation

CLAWHUB

34,754 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: bigplan
description: "🔍 BigPlan · AI产品调研 — 按产品方向分析市场/竞品/技术/供应链，输出高中低三套产品规格方案。产品调研、市场分析、竞品分析、技术评估、项目可行性一站式。| Product research, competitive analysis, market analysis, technical assessment, product planning."
---

# 📋 BigPlan · AI产品调研

按产品方向，自动完成市场分析、技术评估、供应链调研，输出**高/中/低三套产品规格方案**，为产品决策提供参考。

## 📋 功能概览

BigPlan 是一款 **AI 产品调研与方案规划工具**，快速分析市场、技术、供应链，输出产品规格方案。

**核心功能：**
- **📊 市场分析** — 目标市场规模、竞品格局、用户需求分析
- **🔬 技术评估** — 核心技术方案、技术成熟度、研发难度评估
- **🔗 供应链分析** — 关键物料、供应商格局、成本结构拆解
- **📝 三套方案** — 输出高中低三档产品规格方案，含成本估算和上市建议
- **📈 商业模式** — 盈利模式、定价策略、推广渠道分析

## 触发词

`产品调研` `调研这个产品` `帮我分析` `产品方向` `想做一款` `产品规划` `market research` `product analysis`

## 工作流程

### 核心调研维度

```
你：调研智能家居网关
  ↓
① 市场调研
   · 搜索同类产品/竞品
   · 价格带与定位分析
   · 用户痛点与市场机会
   · 市场规模与趋势
  ↓
② 技术评估
   · 可行技术路线
   · 主控芯片方案对比
   · 通信协议选择
   · 认证要求
   · 软件栈评估
  ↓
③ 供应链调研
   · 核心元器件供应
   · 代工方案
   · 模具与认证费用
   · BOM 成本估算
  ↓
④ 输出三套方案
   🥉 入门版 · 最低成本快速验证
   🥈 标准版 · 主力产品平衡性能与价格
   🥇 旗舰版 · 全功能技术标杆
```

### 搜索策略

根据用户的产品描述，自动构建多角度搜索：

```python
# 例：用户说"调研一款户外储能电源"
queries = [
    "户外储能电源 产品 2025 市场分析",          # 市场
    "便携储能电源 竞品 价格 对比",               # 竞品
    "户外电源 技术方案 电芯 BMS",                 # 技术
    "便携储能 供应链 电池 代工",                   # 供应链
    "户外电源 用户评价 痛点",                      # 用户
]
```

### 三套方案输出规范

每套方案必须包含以下字段。如某些字段因数据不足无法确定，明确标注"待验证"而非留空。

| 字段 | 说明 | 示例 |
|:--|:--|:--|
| **目标用户** | 谁买、什么场景 | 户外露营人、家庭应急 |
| **关键规格** | 核心参数 | 300W/500Wh, 100W快充 |
| **硬件方案** | 主控/电芯/接口 | 33650电芯×4 + BMS |
| **软件功能** | App/控制/联网 | App远程控制 |
| **BOM成本** | 元器件材料成本 | ¥550-650 |
| **建议零售价** | 定价区间 | ¥1,299-1,699 |
| **研发周期** | 从立项到量产 | 6-8个月 |
| **研发投入** | 团队+认证+模具 | ¥20-30万 |
| **风险** | 技术和市场风险 | 电芯供应波动 |

### 输出详细度规范

| 板块 | 详细度要求 | 篇幅参考 |
|:--|:--|:-:|
| 市场概况 | 3-5 个要点，有据可查 | 100-300 字 |
| 技术可行性 | 2-3 条技术路线对比 + 理由 | 150-400 字 |
| 供应链评估 | 核心器件+成本区间 | 100-250 字 |
| **每套方案** | **9 个字段完整填写** | **200-400 字/套** |

**字段填写原则：**
- 有公开数据支撑的 → 写具体（如芯片型号、价格区间）
- 数据不足的 → 明确标注

## 输出格式

```
🔬 产品调研报告：[产品名]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

📊 市场概况
   全球/市场规模：[数据]
   竞品分析：[主要玩家/定价/定位]
   用户痛点：[N个核心痛点]
   机会窗口：[差异化空间]

⚙️ 技术可行性
   技术路线：[可选方案对比]
   主控方案：[芯片对比]
   通信协议：[协议选择与理由]
   认证要求：[认证类型与费用]
   软件栈：[系统/平台选择]

🏭 供应链评估
   核心元器件：[供应情况/交期]
   代工方案：[工厂/报价]
   模具与认证：[费用估算]
   BOM 参考：[整机成本估算]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📋 推荐三套产品规格方案
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

🎯 产品基础功能说明
━━━━━━━━━━━━━━━━━━━━━━━━

💡 产品定位：[一句话描述这个产品是做什么的]

🛠️ 核心功能列表：
   1. [功能1] — [作用/使用方法]
   2. [功能2] — [作用/使用方法]
   3. [功能3] — [作用/使用方法]
   ...

📖 典型使用场景：
   · [场景1：谁在什么情况下怎么用]
   · [场景2：谁在什么情况下怎么用]
   · [场景3：谁在什么情况下怎么用]

> 以上为基础功能基线，三套方案均以本清单为核心能力展开，
> 差异体现在性能、品质、附加功能的进阶配置上。

━━━━━━━━━━━━━━━━━━━━━━━━

🥉 方案一：入门版 · ¥XXX-XXX
━━━━━━━━━━━━━━━━━━━━━━━━

🎯 目标用户：[描述]

📐 关键规格：[核心参数]

💻 硬件配置：
   · 主控：[型号]
   · [其他核心芯片/模块]

📱 软件功能：
   · [功能列表]

💰 成本与周期
   BOM：¥XXX-XXX
   建议零售：¥XXX-XXX
   研发周期：X-X个月
   研发投入：¥XX-XX万

⚠️ 风险：[风险描述]

━━━━━━━━━━━━━━━━━━━━━━━━

🥈 方案二：标准版 · ¥XXX-XXX
...
━━━━━━━━━━━━━━━━━━━━━━━━

🥇 方案三：旗舰版 · ¥XXX-XXX
...

━━━━━

_meta.json

{
  "ownerId": "kn74nyzntdcr43y9jyj89wb2qx85c8pf",
  "slug": "bigplan",
  "version": "1.0.5",
  "publishedAt": 1787709946644
}

skill-card.md

## Description:

BigPlan guides agents through product and market research, including competitor analysis, technical assessment, supply-chain review, and three high/mid/low product plan options.

This skill is ready for commercial/non-commercial use.

## Publisher:

[kobenfang](https://clawhub.ai/user/kobenfang)

### License/Terms of Use:

MIT-0

## Use Case:

Product managers, founders, developers, and planning teams use this skill to turn a product direction into a structured research report covering market context, competitors, technology choices, supply chain considerations, costs, pricing, timelines, risks, and recommended product tiers.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Broad trigger phrases may cause the skill to activate for general analysis requests.

Mitigation: Confirm that the user is asking for product, market, competitor, technical, or planning research before relying on the skill output.

Risk: Market figures, BOM costs, pricing, supplier information, and timelines can be stale or estimated from public data.

Mitigation: Validate important figures with current sources, supplier quotes, and domain experts before making investment, procurement, or launch decisions.

Risk: The artifact notes a hardware-oriented bias that may make pure software product analysis less complete.

Mitigation: For software-only products, supplement the report with software-specific evidence such as platform constraints, integration costs, cloud operating costs, security requirements, and user research.

## Reference(s):

- [ClawHub Skill Page](https://clawhub.ai/kobenfang/skills/bigplan)

## Skill Output:

**Output Type(s):** [Text, Markdown, Analysis, Guidance]

**Output Format:** [Markdown product research report with structured sections and tiered product specifications]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Includes market, competitor, technical, supply-chain, cost, pricing, timeline, risk, and recommendation sections; estimates should be marked for validation when data is insufficient.]

## Skill Version(s):

1.0.5 (source: server release metadata)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

Github ReposUpdated 1d agoRank 70

AionUi

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

MCPOPENCLAW

Github ReposUpdated 6mo agoRank 70

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

OPENCLAW

Github ReposUpdated 6mo agoRank 70

cherry-studio

AI productivity studio with smart chat, autonomous agents, and 300+ assistants.

MCPOPENCLAW

Github ReposUpdated 7mo agoRank 70

CopilotKit

The Frontend for Agents & Generative UI. React + Angular