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competitive-teardown竞争性拆解

Agent Skill

competitive-teardown 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。

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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

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来源可访问

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请帮我安装这个 Agent Skill:competitive-teardown(竞争性拆解)
来源仓库:https://github.com/alirezarezvani/competitive-teardown
安装命令:
openclaw skills install competitive-teardown
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openclaw skills install competitive-teardown

简介

通过将定价页面、应用商店评论、职位发布、SEO 信号和社交媒体中的数据综合到结构中来分析竞争对手的产品和公司。

SKILL.md

name
competitive-teardown
description
Analyzes competitor products and companies by synthesizing data from pricing pages, app store reviews, job postings, SEO signals, and social media into structured competitive intelligence. Produces feature comparison matrices scored across 12 dimensions, SWOT analyses, positioning maps, UX audits, pricing model breakdowns, action item roadmaps, and stakeholder presentation templates. Use when conducting competitor analysis, comparing products against competitors, researching the competitive landscape, building battle cards for sales, preparing for a product strategy or roadmap session, responding to a competitor's new feature or pricing change, or performing a quarterly competitive review.

Competitive Teardown

Tier: POWERFUL Category: Product Team Domain: Competitive Intelligence, Product Strategy, Market Analysis


When to Use

  • Before a product strategy or roadmap session
  • When a competitor launches a major feature or pricing change
  • Quarterly competitive review
  • Before a sales pitch where you need battle card data
  • When entering a new market segment

Teardown Workflow

Follow these steps in sequence to produce a complete teardown:

  1. Define competitors — List 2–4 competitors to analyze. Confirm which is the primary focus.
  2. Collect data — Use references/data-collection-guide.md to gather raw signals from at least 3 sources per competitor (website, reviews, job postings, SEO, social).

_Validation checkpoint: Before proceeding, confirm you have pricing data, at least 20 reviews, and job posting counts for each competitor._

  1. Score using rubric — Apply the 12-dimension rubric below to produce a numeric scorecard for each competitor and your own product.

_Validation checkpoint: Every dimension should have a score and at least one supporting evidence note._

  1. Generate outputs — Populate the templates in references/analysis-templates.md (Feature Matrix, Pricing Analysis, SWOT, Positioning Map, UX Audit).
  2. Build action plan — Translate findings into the Action Items template (quick wins / medium-term / strategic).
  3. Package for stakeholders — Assemble the Stakeholder Presentation using outputs from steps 3–5.

Data Collection Guide

Full executable scripts for each source are in references/data-collection-guide.md. Summaries of what to capture are below.

1. Website Analysis

Key things to capture:

  • Pricing tiers and price points
  • Feature lists per tier
  • Primary CTA and messaging
  • Case studies / customer logos (signals ICP)
  • Integration logos
  • Trust signals (certifications, compliance badges)

2. App Store Reviews

Review sentiment categories:

  • Praise → what users love (defend / strengthen these)
  • Feature requests → unmet needs (opportunity gaps)
  • Bugs → quality signals
  • UX complaints → friction points you can beat them on

Sample App Store query (iTunes Search API):

GET https://itunes.apple.com/search?term=<competitor_name>&entity=software&limit=1
# Extract trackId, then:
GET https://itunes.apple.com/rss/customerreviews/id=<trackId>/sortBy=mostRecent/json?l=en&limit=50

Parse entry[].content.label for review text and entry[].im:rating.label for star rating.

3. Job Postings (Team Size & Tech Stack Signals)

Signals from job postings:

  • Engineering volume → scaling vs. consolidating
  • Specific tech mentions → stack (React/Vue, Postgres/Mongo, AWS/GCP)
  • Sales/CS ratio → product-led vs. sales-led motion
  • Data/ML roles → upcoming AI features
  • Compliance roles → regulatory expansion

4. SEO Analysis

SEO signals to capture:

  • Top 20 organic keywords (intent: informational / navigational / commercial)
  • Domain Authority / backlink count
  • Blog publishing cadence and topics
  • Which pages rank (product pages vs. blog vs. docs)

5. Social Media Sentiment

Capture recent mentions via Twitter/X API v2, Reddit, or LinkedIn. Look for recurring praise, complaints, and feature requests. See references/data-collection-guide.md for API query examples.


Scoring Rubric (12 Dimensions, 1-5)

#Dimension1 (Weak)3 (Average)5 (Best-in-class)
1FeaturesCore only, many gapsSolid coverageComprehensive + unique
2PricingConfusing / overpricedMarket-rate, clearTransparent, flexible, fair
3UXConfusing, high frictionFunctionalDelightful, minimal friction
4PerformanceSlow, unreliableAcceptableFast, high uptime
5DocsSparse, outdatedDecent coverageComprehensive, searchable
6SupportEmail only, slowChat + email24/7, great response
7Integrations0-5 integrations6-2526+ or deep ecosystem
8SecurityNo mentionsSOC2 claimedSOC2 Type II, ISO 27001
9ScalabilityNo enterprise tierMid-market readyEnterprise-grade
10BrandGeneric, unmemorableDecent positioningStrong, differentiated
11CommunityNoneForum / SlackActive, vibrant community
12InnovationNo recent releasesQuarterlyFrequent, meaningful

Example completed row (Competitor: Acme Corp, Dimension 3 – UX):

DimensionAcme Corp ScoreEvidence
UX2App Store reviews cite "confusing navigation" (38 mentions); onboarding requires 7 steps before TTFV; no onboarding wizard; CC required at signup.

Apply this pattern to all 12 dimensions for each competitor.


Templates

Full template markdown is in references/analysis-templates.md. Abbreviated reference below.

Feature Comparison Matrix

Rows: core features, pricing tiers, platform capabilities (web, iOS, Android, API). Columns: your product + up to 3 competitors. Score each cell 1–5. Sum to get total out of 60. Score legend: 5=Best-in-class, 4=Strong, 3=Average, 2=Below average, 1=Weak/Missing

Pricing Analysis

Capture per competitor: model type (per-seat / usage-based / flat rate / freemium), entry/mid/enterprise price points, free trial length. Summarize: price leader, value leader, premium positioning, your position, and 2–3 pricing opportunity bullets.

SWOT Analysis

For each competitor: 3–5 bullets per quadrant (Strengths, Weaknesses, Opportunities for us, Threats to us). Anchor every bullet to a data signal (review quote, job posting count, pricing page, etc.).

Positioning Map

2x2 axes (e.g., Simple ↔ Complex / Low Value ↔ High Value). Place each competitor and your product. Bubble size = market share or funding. See references/analysis-templates.md for ASCII and editable versions.

UX Audit Checklist

Onboarding: TTFV (minutes), steps to activation, CC-required, onboarding wizard quality. Key workflows: steps, friction points, comparative score (yours vs. theirs). Mobile: iOS/Android ratings, feature parity, top complaint and praise. Navigation: global search, keyboard shortcuts, in-app help.

Action Items

HorizonEffortExamples
Quick wins (0–4 wks)LowAdd review badges, publish comparison landing page
Medium-term (1–3 mo)ModerateLaunch free tier, improve onboarding TTFV, add top-requested integration
Strategic (3–12 mo)HighEnter new market, build API v2, achieve SOC2 Type II

Stakeholder Presentation (7 slides)

  1. Executive Summary — Threat level (LOW/MEDIUM/HIGH/CRITICAL), top strength, top opportunity, recommended action
  2. Market Position — 2x2 positioning map
  3. Feature Scorecard — 12-dimension radar or table, total scores
  4. Pricing Analysis — Comparison table + key insight
  5. UX Highlights — What they do better (3 bullets) vs. where we win (3 bullets)
  6. Voice of Customer — Top 3 review complaints (quoted or paraphrased)
  7. Our Action Plan — Quick wins, medium-term, strategic priorities; Appendix with raw data

Related Skills

  • Product Strategist (product-team/product-strategist/) — Competitive insights feed OKR and strategy planning
  • Landing Page Generator (product-team/landing-page-generator/) — Competitive positioning informs landing page messaging

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