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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。

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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

MIT

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/inf-sh/skills
仓库路径:skills/competitor-teardown
安装命令:
npx skills add inf-sh/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。

AgentSkills.tonpx skills
npx skills add inf-sh/skills --skill "competitor-teardown"

简介

通过特征矩阵、SWOT、定位图和用户体验审查进行结构化竞争分析。涵盖研究框架、定价比较、评论挖掘和视觉交付成果。用于:市场研究、竞争情报、投资者平台、产品策略、销售支持。触发点:竞争对手分析、竞争分析、竞争对手拆解、市场研究、竞争情报、swot分析、竞争对手比较、市场格局、竞争对手审查、竞争格局、功能比较、市场定位

SKILL.md

name
competitor-teardown
description
Structured competitive analysis with feature matrices, SWOT, positioning maps, and UX review. Covers research frameworks, pricing comparison, review mining, and visual deliverables. Use for: market research, competitive intelligence, investor decks, product strategy, sales enablement. Triggers: competitor analysis, competitive analysis, competitor teardown, market research, competitive intelligence, swot analysis, competitor comparison, market landscape, competitor review, competitive landscape, feature comparison, market positioning
allowed-tools
Bash(infsh *)

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\
import matplotlib\
matplotlib.use(\"Agg\")\
\
fig, ax = plt.subplots(figsize=(10, 10))\
\
# Competitors\
competitors = {\
    \"You\": (-0.3, -0.3),\
    \"Competitor A\": (0.5, 0.6),\
    \"Competitor B\": (0.6, -0.4),\
    \"Competitor C\": (-0.4, 0.5)\
}\
\
for name, (x, y) in competitors.items():\
    color = \"#22c55e\" if name == \"You\" else \"#6366f1\"\
    size = 200 if name == \"You\" else 150\
    ax.scatter(x, y, s=size, c=color, zorder=5)\
    ax.annotate(name, (x, y), textcoords=\"offset points\", xytext=(10, 10), fontsize=12, fontweight=\"bold\")\
\
ax.axhline(y=0, color=\"grey\", linewidth=0.5)\
ax.axvline(x=0, color=\"grey\", linewidth=0.5)\
ax.set_xlim(-1, 1)\
ax.set_ylim(-1, 1)\
ax.set_xlabel(\"Simple ← → Complex\", fontsize=14)\
ax.set_ylabel(\"SMB ← → Enterprise\", fontsize=14)\
ax.set_title(\"Competitive Positioning Map\", fontsize=16, fontweight=\"bold\")\
ax.grid(True, alpha=0.3)\
plt.tight_layout()\
plt.savefig(\"positioning-map.png\", dpi=150)\
print(\"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

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能力 1

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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

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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操作浏览器

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安装前确认

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