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competitor-teardown竞争对手拆解

Agent Skill

competitor-teardown 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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

282

周安装

12

GitHub Stars

52

下载量

99
CodexClaudeCursorGemini CLI

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

unknown

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:competitor-teardown(竞争对手拆解)
来源仓库:https://github.com/aaaaqwq/claude-code-skills
仓库路径:skills/competitor-teardown
安装命令:
npx skills add https://github.com/aaaaqwq/claude-code-skills --skill competitor-teardown
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/aaaaqwq/claude-code-skills --skill competitor-teardown

简介

competitor-teardown 用于结构化分析竞争对手,结合研究检索与截图工具快速拆解竞品策略。

  • 适合在产品定位、定价模型、用户反馈等维度进行系统性调研和对比分析。
  • 通过命令行调用搜索与截图功能,支持自定义查询关键词和目标网站进行自动化整理。
  • 需配置 LLM API 并确保网络权限,建议在使用前验证数据来源与脚本安全性。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Competitor Teardown

Structured competitive analysis with research and screenshots via inference.sh CLI.

Quick Start

curl -fsSL https://cli.inference.sh | sh && infsh login

# Research competitor landscape
infsh app run tavily/search-assistant --input '{
  "query": "top project management tools comparison 2024 market share"
}'

# Screenshot competitor's website
infsh app run infsh/agent-browser --input '{
  "url": "https://competitor.com",
  "action": "screenshot"
}'

Teardown Framework

The 7-Layer Analysis

LayerWhat to AnalyzeData Source
1. ProductFeatures, UX, qualityScreenshots, free trial
2. PricingPlans, pricing model, hidden costsPricing page, sales call
3. PositioningMessaging, tagline, ICPWebsite, ads
4. TractionUsers, revenue, growthWeb search, press, funding
5. ReviewsStrengths, weaknesses from usersG2, Capterra, App Store
6. ContentBlog, social, SEO strategyWebsite, social profiles
7. TeamSize, key hires, backgroundLinkedIn, About page

Research Commands

Company Overview

# General intelligence
infsh app run tavily/search-assistant --input '{
  "query": "CompetitorX company overview funding team size 2024"
}'

# Funding and financials
infsh app run exa/search --input '{
  "query": "CompetitorX funding round series valuation investors"
}'

# Recent news
infsh app run tavily/search-assistant --input '{
  "query": "CompetitorX latest news announcements 2024"
}'

Product Analysis

# Feature comparison
infsh app run exa/search --input '{
  "query": "CompetitorX vs alternatives feature comparison review"
}'

# Pricing details
infsh app run tavily/extract --input '{
  "urls": ["https://competitor.com/pricing"]
}'

# User reviews
infsh app run tavily/search-assistant --input '{
  "query": "CompetitorX reviews G2 Capterra pros cons 2024"
}'

UX Screenshots

# Homepage
infsh app run infsh/agent-browser --input '{
  "url": "https://competitor.com",
  "action": "screenshot"
}'

# Pricing page
infsh app run infsh/agent-browser --input '{
  "url": "https://competitor.com/pricing",
  "action": "screenshot"
}'

# Signup flow
infsh app run infsh/agent-browser --input '{
  "url": "https://competitor.com/signup",
  "action": "screenshot"
}'

Feature Matrix

Structure

| Feature | Your Product | Competitor A | Competitor B | Competitor C |
|---------|:---:|:---:|:---:|:---:|
| Real-time collaboration | ✅ | ✅ | ❌ | ✅ |
| API access | ✅ | Paid only | ✅ | ❌ |
| SSO/SAML | ✅ | Enterprise | ✅ | Enterprise |
| Custom reports | ✅ | Limited | ✅ | ❌ |
| Mobile app | ✅ | iOS only | ✅ | ✅ |
| Free tier | ✅ (unlimited) | ✅ (3 users) | ❌ | ✅ (1 project) |
| Integrations | 50+ | 100+ | 30+ | 20+ |

Rules

  • ✅ = Full support
  • ⚠️ or "Partial" = Limited or conditional
  • ❌ = Not available
  • Note conditions: "Paid only", "Enterprise tier", "Beta"
  • Lead with features where YOU win
  • Be honest about competitor strengths — credibility matters

Pricing Comparison

Structure

| | Your Product | Competitor A | Competitor B |
|---------|:---:|:---:|:---:|
| **Free tier** | Yes, 5 users | Yes, 3 users | No |
| **Starter** | $10/user/mo | $15/user/mo | $12/user/mo |
| **Pro** | $25/user/mo | $30/user/mo | $29/user/mo |
| **Enterprise** | Custom | Custom | $50/user/mo |
| **Billing** | Monthly/Annual | Annual only | Monthly/Annual |
| **Annual discount** | 20% | 15% | 25% |
| **Min seats** | 1 | 5 | 3 |
| **Hidden costs** | None | Setup fee $500 | API calls metered |

What to Look For

  • Minimum seat requirements
  • Annual-only billing (reduces flexibility)
  • Feature gating between tiers
  • Overage charges
  • Setup/onboarding fees
  • Contract lock-in periods

SWOT Analysis

Create a SWOT for each competitor:

### Competitor A — SWOT

| Strengths | Weaknesses |
|-----------|------------|
| • Strong brand recognition | • Slow feature development |
| • Large integration ecosystem | • Complex onboarding (30+ min) |
| • Enterprise sales team | • No free tier |

| Opportunities | Threats |
|--------------|---------|
| • AI features not yet shipped | • New AI-native competitors |
| • Expanding into mid-market | • Customer complaints about pricing |
| • International markets untapped | • Key engineer departures (LinkedIn) |

Positioning Map

A 2x2 matrix showing where competitors sit on two meaningful dimensions.

Choose Meaningful Axes

Good AxesBad Axes
Simple ↔ ComplexGood ↔ Bad
SMB ↔ EnterpriseCheap ↔ Expensive (too obvious)
Self-serve ↔ Sales-ledOld ↔ New
Specialized ↔ GeneralSmall ↔ Large
Opinionated ↔ Flexible

Template

                    Enterprise
                        │
           Competitor C │  Competitor A
                ●       │       ●
                        │
  Simple ──────────────────────────── Complex
                        │
            You ●       │  Competitor B
                        │       ●
                        │
                      SMB

Generating the Visual

# Create positioning map with Python
infsh app run infsh/python-executor --input '{
  "code": "import matplotlib.pyplot as plt\nimport matplotlib\nmatplotlib.use(\"Agg\")\n\nfig, ax = plt.subplots(figsize=(10, 10))\n\n# Competitors\ncompetitors = {\n    \"You\": (-0.3, -0.3),\n    \"Competitor A\": (0.5, 0.6),\n    \"Competitor B\": (0.6, -0.4),\n    \"Competitor C\": (-0.4, 0.5)\n}\n\nfor name, (x, y) in competitors.items():\n    color = \"#22c55e\" if name == \"You\" else \"#6366f1\"\n    size = 200 if name == \"You\" else 150\n    ax.scatter(x, y, s=size, c=color, zorder=5)\n    ax.annotate(name, (x, y), textcoords=\"offset points\", xytext=(10, 10), fontsize=12, fontweight=\"bold\")\n\nax.axhline(y=0, color=\"grey\", linewidth=0.5)\nax.axvline(x=0, color=\"grey\", linewidth=0.5)\nax.set_xlim(-1, 1)\nax.set_ylim(-1, 1)\nax.set_xlabel(\"Simple ← → Complex\", fontsize=14)\nax.set_ylabel(\"SMB ← → Enterprise\", fontsize=14)\nax.set_title(\"Competitive Positioning Map\", fontsize=16, fontweight=\"bold\")\nax.grid(True, alpha=0.3)\nplt.tight_layout()\nplt.savefig(\"positioning-map.png\", dpi=150)\nprint(\"Saved\")"
}'

Review Mining

Where to Find Reviews

PlatformBest ForURL Pattern
G2B2B SaaSg2.com/products/[product]/reviews
CapterraBusiness softwarecapterra.com/software/[id]/reviews
App StoreiOS appsapps.apple.com
Google PlayAndroid appsplay.google.com
Product HuntLaunchesproducthunt.com/posts/[product]
RedditHonest opinionsreddit.com/r/[relevant-sub]

What to Extract

CategoryLook For
Most praisedWhat features do happy users mention most?
Most complainedWhat do unhappy users say? (= your opportunity)
Switching reasonsWhy do users leave? What triggers switching?
Feature requestsWhat's missing that users want?
Comparison mentionsWhen users compare, what do they say?
# Mine G2 reviews
infsh app run tavily/search-assistant --input '{
  "query": "CompetitorX G2 reviews complaints issues 2024"
}'

# Reddit sentiment
infsh app run exa/search --input '{
  "query": "reddit CompetitorX alternative frustration switching"
}'

Deliverable Formats

Executive Summary (1 page)

## Competitive Landscape Summary

**Market:** [Category] — $[X]B market growing [Y]% annually

**Key competitors:** A (leader), B (challenger), C (niche)

**Our positioning:** [Where you sit and why it matters]

**Key insight:** [One sentence about the biggest opportunity]

| Metric | You | A | B | C |
|--------|-----|---|---|---|
| Users | X | Y | Z | W |
| Pricing (starter) | $X | $Y | $Z | $W |
| Rating (G2) | X.X | Y.Y | Z.Z | W.W |

Detailed Report (per competitor)

  1. Company overview (size, funding, team)
  2. Product analysis (features, UX screenshots)
  3. Pricing breakdown
  4. SWOT analysis
  5. Review analysis (top praised, top complained)
  6. Positioning vs. you
  7. Opportunity summary

Comparison Grid Visual

# Stitch competitor screenshots into comparison
infsh app run infsh/stitch-images --input '{
  "images": ["your-homepage.png", "competitorA-homepage.png", "competitorB-homepage.png"],
  "direction": "horizontal"
}'

Common Mistakes

MistakeProblemFix
Only looking at featuresMisses positioning, pricing, tractionUse the 7-layer framework
Biased analysisLoses credibilityBe honest about competitor strengths
Outdated dataWrong conclusionsDate all research, refresh quarterly
Too many competitorsAnalysis paralysisFocus on top 3-5 direct competitors
No "so what"Data without insightEnd each section with implications for you
Feature-only comparisonDoesn't show positioningInclude pricing, reviews, positioning map

Related Skills

npx skills add inference-sh/skills@web-search
npx skills add inference-sh/skills@prompt-engineering

Browse all apps: infsh app list

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

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。

平台分布

Codex

35.32%
按下载量换算35

Claude

29.88%
按下载量换算30

Cursor

19.67%
按下载量换算19

Gemini CLI

9.35%
按下载量换算9

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

未通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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