Agent skill

Competitive Teardown

by alirezarezvani in alirezarezvani/claude-skills

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.

MITAuto-check passedMarketing & SEO

Install Competitive Teardown

skills CLI
$ npx skills add alirezarezvani/claude-skills --skill competitive-teardown -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install alirezarezvani/claude-skills competitive-teardown --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/product-team/skills/competitive-teardown .claude/skills/competitive-teardown && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
competitive-teardown
GitHub stars
28k
Used in
1 other repo
Token cost
~2.1k tokens
SKILL.md length
894 words
Files
6 (incl. scripts, references)
Skills in repo
342
Repo updated
First seen
Licence
MIT

At a glance

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.

  • Works in 5 steps: Website Analysis → App Store Reviews → Job Postings (Team Size & Tech Stack… → …
  • Conducting competitor analysis
  • SKILL.md covers When to Use, Teardown Workflow, Data Collection Guide and Scoring Rubric (12 Dimensions,…, plus 2 more sections
  • Runs Python scripts from its folder; reaches itunes.apple.com

What it does

Competitive Teardown is an agent skill from alirezarezvani/claude-skills. 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…

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `references/analysis-templates.md`, `references/competitive-analysis-frameworks.md` and `references/data-collection-guide.md`).

It sits in Marketing & SEO, covering Competitor analysis, Startup and business strategy and App store release. The repository describes itself as: 380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8… The licence is MIT.

When your agent uses it

  • Conducting competitor analysis
  • Comparing products against competitors
  • Researching the competitive landscape
  • Building battle cards for sales

Example prompts

  • “Use the competitive-teardown skill to analyz competitor products and companies by synthesizing data from pricing pages, app store reviews, job…”
  • “/competitive-teardown”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Website Analysis
  2. App Store Reviews
  3. Job Postings (Team Size & Tech Stack Signals)
  4. SEO Analysis
  5. Social Media Sentiment

What it can do on your machine

Read from SKILL.md and the folder at commit 19392f7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • itunes.apple.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Competitive Teardown loads about 2.1k tokens when it runs, and up to ~7.1k if it reads all its reference files. Until then it costs about 180 tokens; SKILL.md has 894 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~180
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from alirezarezvani/claude-skills at commit 19392f7, republished under its MIT licence (© alirezarezvani). 894 words, ~2,089 tokens.

Download SKILL.mdSave it as .claude/skills/competitive-teardown/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
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.
  3. 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.
  4. Generate outputs — Populate the templates in references/analysis-templates.md (Feature Matrix, Pricing Analysis, SWOT, Positioning Map, UX Audit).
  5. Build action plan — Translate findings into the Action Items template (quick wins / medium-term / strategic).
  6. 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.


Show full SKILL.md (326 more words)Show less

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
  • 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

© alirezarezvani, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (scripts, references) in product-team/skills/competitive-teardown of alirezarezvani/claude-skills.

  • SKILL.md
  • references/analysis-templates.md
  • references/competitive-analysis-frameworks.md
  • references/data-collection-guide.md
  • references/scoring-rubric.md
  • scripts/competitive_matrix_builder.py

Open the folder on GitHubat commit 19392f7

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in alirezarezvani/claude-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Competitive Teardown next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Competitive Teardown compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Competitive Teardown this skillalirezarezvani/claude-skills28k1 repos~2.1kAutomated safety check: PassMIT
Startup Designferdinandobons/startup-skill1.2k—~8.1kAutomated safety check: PassMIT
Marketing OsYuzzyuk/marketing-os540—~2.5kAutomated safety check: PassMIT
Competitor Teardownirinabuht12-oss/marketing-skills4.1k—~1.6kAutomated safety check: PassNone
Competitor Researcherhanzili/hanzi-browse177—~4.7kAutomated safety check: PassCustom licence
Cashclaw Competitor Analyzerertugrulakben/cashclaw303—~2.7kAutomated safety check: PassMIT

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Questions about Competitive Teardown

What does Competitive Teardown do?

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. Competitive Teardown is an agent skill from alirezarezvani/claude-skills. 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.

When should I use Competitive Teardown?

Competitive Teardown fits situations like: conducting competitor analysis; comparing products against competitors; researching the competitive landscape; building battle cards for sales.

How do I install Competitive Teardown in Claude Code?

Run `npx skills add alirezarezvani/claude-skills --skill competitive-teardown -a claude-code`. Or copy the skill folder (product-team/skills/competitive-teardown in alirezarezvani/claude-skills) into .claude/skills/competitive-teardown in your project. Claude Code loads it when a task matches its description.

How do I install Competitive Teardown in Codex?

Run `npx skills add alirezarezvani/claude-skills --skill competitive-teardown -a codex`. Or copy the skill folder (product-team/skills/competitive-teardown in alirezarezvani/claude-skills) into .agents/skills/competitive-teardown in your project. Codex loads it when a task matches its description.

Can I use Competitive Teardown in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alirezarezvani/claude-skills --skill competitive-teardown -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/competitive-teardown, .gemini/skills/competitive-teardown, .github/skills/competitive-teardown and .opencode/skills/competitive-teardown in your project.

What does Competitive Teardown need to run?

Going by SKILL.md and its folder, Competitive Teardown needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Competitive Teardown access the network?

SKILL.md names 1 domain. In commands or code: itunes.apple.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Competitive Teardown safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Competitive Teardown use?

Competitive Teardown is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Competitive Teardown use?

About 2.1k tokens (SKILL.md is roughly 8.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5k tokens, read only when the agent opens those files.

What are the alternatives to Competitive Teardown?

Skills that share tags, products or a category with Competitive Teardown: Startup Design (ferdinandobons/startup-skill, 1.2k stars), Marketing Os (Yuzzyuk/marketing-os, 540 stars), Competitor Teardown (irinabuht12-oss/marketing-skills, 4.1k stars) and Competitor Researcher (hanzili/hanzi-browse, 177 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Competitive Teardown?

alirezarezvani (a GitHub user) maintains it in alirezarezvani/claude-skills, which has 27,938 GitHub stars. The repository holds 342 skills in this directory. The repository was last updated on August 30, 2026.

Source: alirezarezvani/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.