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niche-hunter-app-store利基猎人应用商店

Agent Skill

niche-hunter-app-store 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

11,408

周安装

466

GitHub Stars

1

下载量

3,691
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:niche-hunter-app-store(利基猎人应用商店)
来源仓库:https://github.com/chebyte/niche-hunter-app-store
安装命令:
openclaw skills install niche-hunter-app-store
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install niche-hunter-app-store

简介

niche-hunter-app-store 是面向 OpenClaw 的无头应用商店市场情报引擎。

  • 用于检测利基市场、分析竞品并验证货币化潜力,辅助商业决策。
  • 通过 clawhub 安装,调用方式参考 GitHub 仓库说明。
  • 使用前应评估目标市场的合规性与数据整理合法性。
  • 建议结合具体行业关键词进行定向检索以提高效率。

SKILL.md

name
niche-hunter-app-store
description
NicheHunter Ultra — Headless App Store Market Intelligence engine for OpenClaw (VPS). Detects underserved niches, analyzes competitors, validates monetization signals, scores opportunities quantitatively, and generates investor-grade MVP PRDs. Optimized for Telegram.
metadata
tags
app-store, market-intelligence, competitor-analysis, revenue-validation, scoring, prd, rork, openclaw, telegram

NicheHunter Ultra — Market Intelligence Mode

Designed for:

  • OpenClaw running in a VPS (headless)
  • Telegram interaction
  • No interactive browser required

TOOL REQUIREMENTS

At least ONE of the following must be available:

  • web_search
  • web_fetch
  • curl (HTTP request capability)

If none are available → STOP execution.


TOOL PRIORITY ORDER

1) web_search 2) web_fetch 3) curl (last fallback)

Always prefer higher-priority tools when available.


TOOL ADAPTATION LOGIC

If web_search is available: → Use for discovery (charts, competitors, reviews, revenue signals).

If web_fetch is available: → Use for structured extraction.

If ONLY web_fetch is available: → Fetch official App Store category pages directly. → Extract app listings and derive competitors.

If ONLY curl is available: → Perform raw HTTP GET requests. → Parse HTML manually for: - App names - Rating counts - Pricing info → Confirm signals using multiple sources when possible.

Never fail solely due to missing web_search.


EXECUTION DISCIPLINE

  • Max 18 web_search calls
  • Max 20 total URLs analyzed
  • Max 8 competitors per niche
  • Max 20 reviews per app (prioritize 1★ and 3★)
  • No duplicate queries
  • Proxy revenue must be labeled with confidence level
  • No speculation presented as fact

PIPELINE

1) Category Definition 2) Market Demand Discovery 3) Competitor Intelligence 4) Gap Pattern Extraction 5) Quantitative Scoring 6) MARKET INTELLIGENCE REPORT 7) PRD (after user selection)

Each step MUST output a structured checkpoint.


CHECKPOINT FORMAT (STRICT STATE FORMAT)

Checkpoints are for STATE only. No conclusions. No scoring. No hype.

Must use this exact structure:

--- CHECKPOINT --- Step: {number} Category: {category}

Micro-niches identified: • {niche 1} • {niche 2}

Competitors analyzed ({count}/{max}): • {App} — {ratings} — {core feature} • {App} — {ratings} — {core feature}

Observed signals: • {signal 1} • {signal 2}

Gap hypotheses (not conclusions): • {hypothesis 1} • {hypothesis 2}

Confidence (intermediate): {Low | Medium | High}

Next Step: {next} --- END CHECKPOINT ---

The checkpoint must NOT contain:

  • Revenue estimates
  • Final ranking
  • Absolute claims ("NO EXISTE")
  • Scoring values

REVENUE ESTIMATION MODEL

If direct revenue found → use it.

If not:

Freemium: Estimated installs ≈ ratings × 100

Paid: Estimated installs ≈ ratings × 40

Revenue estimate: installs × 3% × subscription_price

Confidence levels: High (direct source) Medium (strong proxy) Low (weak signal)

Proxy must always be labeled.


QUANTITATIVE SCORING MODEL

Score each opportunity 0–10:

Demand Strength (35%) Gap Clarity (30%) Monetization Viability (20%) Build Simplicity (15%)

Weighted Score = (demand × 0.35) + (gap × 0.30) + (monetization × 0.20) + (build × 0.15)

Scores must be justified with evidence.


STRICT FORMAT ENFORCEMENT

The assistant is STRICTLY FORBIDDEN from:

  • Using ASCII tables
  • Using column separators like "|"
  • Using monospaced grid layouts
  • Using star-only scoring (⭐⭐⭐)
  • Formatting in horizontal table style

No ASCII tables are allowed under any circumstance. Do not use "|" separators. All output must be vertical structured blocks.

If a table or ASCII grid appears, the assistant must immediately rewrite the output in vertical structured format.


OUTPUT ENFORCEMENT — TELEGRAM ULTRA FORMAT

Final report MUST use this structure:

════════════════════════════ 📊 MARKET INTELLIGENCE REPORT Category: {Category} Research Confidence: {High | Medium | Low} Competitors Analyzed: {Number} ════════════════════════════

🥇 OPPORTUNITY #1 — {Name}

🎯 Strategic Positioning {One concise positioning sentence}

━━━━━━━━━━━━━━━━━━━━━━ 📈 Demand Analysis

• Top competitors analyzed: {names} • Rating range observed: {range} • Saturation level: {Low | Medium | High} • Demand summary: {1–2 lines}

━━━━━━━━━━━━━━━━━━━━━━ 💰 Monetization Analysis

• Pricing benchmark: {range} • Revenue signals: {direct or proxy explanation} • Install estimate logic: {formula used} • Conversion assumption: {percentage} • Estimated revenue range: {range} • Confidence: {High | Medium | Low}

━━━━━━━━━━━━━━━━━━━━━━ 🧩 Gap Intelligence

• Repeated complaint themes: - {theme 1} - {theme 2}

• Missing feature overlap: - {feature 1} - {feature 2}

• Structural competitor weakness: {brief explanation}

Primary Wedge: {1–2 differentiators}

━━━━━━━━━━━━━━━━━━━━━━ ⚙️ Build Assessment

Complexity: {Low | Medium | High} Reasoning: {brief explanation}

Risk Level: {Low | Medium | High} Primary Risk: {brief explanation}

━━━━━━━━━━━━━━━━━━━━━━ 📊 Quantitative Scoring

Demand Strength: X/10 Gap Clarity: X/10 Monetization Viability: X/10 Build Simplicity: X/10

Weighted Score: X.X / 10

Overall Attractiveness: {Strong | Moderate | Speculative}

════════════════════════════

🥈 OPPORTUNITY #2 — {Name} (Condensed but same analytical structure)

════════════════════════════

🥉 OPPORTUNITY #3 — {Name} (Condensed but same analytical structure)

════════════════════════════

🏁 STRATEGIC CONCLUSION

• Why #1 ranks highest • Where defensibility exists • Key leverage insight

Data-based reasoning only.

After delivering this report, ask the user: Choose #1 / #2 / #3 to generate the PRD.


PRD REQUIREMENTS

After selection, generate:

1) Executive Summary 2) Market Validation Summary 3) Target Personas 4) Core Differentiator (Wedge) 5) MVP Feature Groups 6) Screen Architecture (Expo Router structure) 7) Monetization Strategy 8) Tech Stack: - Expo SDK 52+ - TypeScript - Expo Router 9) Design System: - Hex colors mandatory 10) KPIs 11) Risks & Mitigations

PRD must be:

  • Concrete
  • UI-specific
  • Copy-paste ready for Rork
  • No fluff

适合场景

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OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

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能力 2

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能力 3

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能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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