Agent skill

Competitive Analyzer

by Mathews-Tom in Mathews-Tom/armory

Competitive landscape analysis: Porter's Five Forces, competitor discovery, feature/pricing matrices, positioning maps, moat assessment via WebSearch.

MITAuto-check passedMarketing & SEO

Install Competitive Analyzer

skills CLI
$ npx skills add Mathews-Tom/armory --skill competitive-analyzer -a claude-code

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

GitHub CLI
$ gh skill install Mathews-Tom/armory competitive-analyzer --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/Mathews-Tom/armory.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/competitive-analyzer .claude/skills/competitive-analyzer && 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-analyzer
GitHub stars
328
Token cost
~2.8k tokens
SKILL.md length
1,038 words
Files
5 (incl. references)
Skills in repo
80
Repo updated
First seen
Licence
MIT

At a glance

Competitive landscape analysis: Porter's Five Forces, competitor discovery, feature/pricing matrices, positioning maps, moat assessment via WebSearch.

  • Works in 6 steps: Competitor Discovery → Porter's Five Forces Assessment → Feature & Pricing Matrix → …
  • : competitive analysis
  • SKILL.md covers When to use this skill vs.…, Workflow, Quality Checks and Edge Cases
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Competitive Analyzer is an agent skill from Mathews-Tom/armory. Competitive landscape analysis: Porter's Five Forces, competitor discovery, feature/pricing matrices, positioning maps, moat assessment via WebSearch. Triggers on: "competitive analysis", "competitor comparison", "competitive landscape", "Porter's Five Forces", "market positioning", "moat assessment", "defensibility analysis".

Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `evals/cases.yaml`, `references/competitive-matrix.md` and `references/porters-five-forces.md`).

It sits in Marketing & SEO, covering Positioning and messaging and Competitor analysis. The repository describes itself as: Curated, production-grade skills for AI coding agents. Battle-tested workflows for developers who use AI seriously. The licence is MIT.

When your agent uses it

  • : competitive analysis
  • Competitor comparison
  • Competitive landscape
  • Porters Five Forces

Example prompts

  • “competitive analysis”
  • “competitor comparison”
  • “competitive landscape”
  • “/competitive-analyzer”

Workflow steps

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

  1. Competitor Discovery
  2. Porter's Five Forces Assessment
  3. Feature & Pricing Matrix
  4. Positioning Map
  5. Moat & Defensibility Assessment
  6. Report Generation

What it can do on your machine

Read from SKILL.md and the folder at commit 4594fb7. 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

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    No URLs in SKILL.md.

    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 Analyzer loads about 2.8k tokens when it runs, and up to ~11k if it reads all its reference files. Until then it costs about 87 tokens; SKILL.md has 1,038 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~87
When it runs · the whole SKILL.md, loaded when a task matches
~2.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~11k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from Mathews-Tom/armory at commit 4594fb7, republished under its MIT licence (© Mathews-Tom). 1,038 words, ~2,842 tokens.

Download SKILL.mdSave it as .claude/skills/competitive-analyzer/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
competitive-analyzer
description
Competitive landscape analysis: Porter's Five Forces, competitor discovery, feature/pricing matrices, positioning maps, moat assessment via WebSearch. Triggers on: "competitive analysis", "competitor comparison", "competitive landscape", "Porter's Five Forces", "market positioning", "moat assessment", "defensibility analysis".
metadata.version
1.0.1
metadata.complements
market-analyzer, tavily, web-fetch
metadata.category
business
metadata.tags
competitive-analysis, market, porters-five-forces, positioning
metadata.difficulty
advanced
metadata.phase
define

Competitive Analyzer

Systematic competitive landscape analysis: discovery, force analysis, feature comparison, pricing, positioning, and defensibility assessment.

When to use this skill vs. others

NeedSkill
Analyze competitors, compare features, assess moatscompetitive-analyzer (this skill)
Market sizing, TAM/SAM/SOM, demand signalsmarket-analyzer
General web research and data gatheringtavily / web-fetch

Workflow

Phase 1: Competitor Discovery

Identify competitors across three tiers using WebSearch.

Tier classification:

  • Direct competitors — Same solution to the same customer segment. Search: "[product category] alternatives", "[product] vs", "best [category] tools 2024"
  • Indirect competitors — Different solution to the same underlying problem. Search: "how to [solve problem] without [category]", adjacent category leaders
  • Potential competitors — Adjacent players with capability and incentive to enter. Search: recent funding rounds, platform expansion announcements, acqui-hires

Discovery sources:

  • Product Hunt: site:producthunt.com [category]
  • G2: site:g2.com [category] reviews
  • Capterra: site:capterra.com [category]
  • Crunchbase: site:crunchbase.com [category] funding
  • Industry reports and analyst coverage

Output: A competitor roster table:

CompetitorTierFoundedFundingHQEst. RevenueTarget Segment

Include 5-15 competitors. Fewer than 5 suggests the search was too narrow; more than 15 suggests the scope needs tightening.

Phase 2: Porter's Five Forces Assessment

Score each force 1-5 with supporting evidence. Reference references/porters-five-forces.md for scoring rubric and sub-criteria.

1. Threat of New Entrants (1-5)

  • Capital requirements and startup costs
  • Regulatory and compliance barriers
  • Technology and IP barriers
  • Brand loyalty and switching costs of incumbents
  • Access to distribution channels
  • Economies of scale advantages

2. Supplier Power (1-5)

  • Number of available suppliers
  • Uniqueness of supplier inputs
  • Switching costs between suppliers
  • Forward integration threat
  • Dependence on key vendors (cloud, APIs, data)

3. Buyer Power (1-5)

  • Buyer concentration relative to sellers
  • Price sensitivity and transparency
  • Switching costs for buyers
  • Backward integration threat
  • Availability of substitute information

4. Threat of Substitutes (1-5)

  • Availability of alternative solutions
  • Performance-to-price ratio of substitutes
  • Buyer propensity to switch
  • Switching costs to substitutes

5. Competitive Rivalry (1-5)

  • Number and size distribution of competitors
  • Industry growth rate
  • Product differentiation level
  • Exit barriers
  • Fixed cost structure and capacity

Synthesis: Calculate overall industry attractiveness (weighted average of forces). Higher scores mean more competitive pressure, lower attractiveness.

Phase 3: Feature & Pricing Matrix

Build a comprehensive comparison. Reference references/competitive-matrix.md for structuring methodology.

Feature comparison table:

Feature CategoryFeatureCompetitor ACompetitor BCompetitor COur Product
CoreFeature 1FullPartialNoneFull
IntegrationAPIRESTGraphQLNoneREST+GraphQL
SupportSLA99.9%99.5%None99.95%

Use: Full / Partial / None / Superior (exceeds category standard)

Feature analysis:

  • Table stakes — Features every competitor offers. Missing any = disqualifier.
  • Differentiators — Features only 1-2 competitors offer. Potential positioning angles.
  • Gaps — Features no competitor offers. Potential innovation opportunities.
  • Over-served — Features with extensive investment but low customer value signal.

Pricing comparison table:

CompetitorModelFree TierEntry PriceMid TierEnterpriseBilling
ASubscriptionYes$29/mo$99/moCustomMonthly/Annual
BUsage-basedTrial$0.01/unitVolume discountCustomMonthly

Pricing analysis:

  • Price-to-feature ratio positioning (value vs. premium)
  • Pricing model trends in the category
  • Customer segment alignment by price point
Phase 4: Positioning Map

Reference references/positioning-analysis.md for dimension selection and mapping methodology.

Step 1: Dimension selection Select the two dimensions most important to target customers. Common pairs:

  • Price vs. Feature richness
  • Ease of use vs. Power/flexibility
  • SMB-focused vs. Enterprise-focused
  • Vertical-specific vs. Horizontal/general

Validate dimension selection against customer research or publicly available review themes.

Step 2: Plot competitors Position each competitor on the 2D map using evidence from Phase 3.

High [Dimension Y]
    |
    |   [Comp A]        [Comp C]
    |
    |        [Comp B]
    |                    [Our Product]
    |
    |   [Comp D]
    |
Low  ────────────────────────────── High [Dimension X]

Step 3: White space identification

  • Quadrants with no or few competitors = potential positioning opportunities
  • Assess whether white space is genuinely underserved or intentionally avoided (no demand)
  • Evaluate feasibility of occupying the white space
Show full SKILL.md (456 more words)Show less
Phase 5: Moat & Defensibility Assessment

Evaluate each moat type. Reference references/positioning-analysis.md for the moat taxonomy.

Moat TypePresent?StrengthEvidence
Network effectsYes/NoWeak/Moderate/StrongDescription
Switching costsYes/NoWeak/Moderate/StrongDescription
IP / TechnologyYes/NoWeak/Moderate/StrongDescription
BrandYes/NoWeak/Moderate/StrongDescription
Data advantageYes/NoWeak/Moderate/StrongDescription
Cost advantageYes/NoWeak/Moderate/StrongDescription
RegulatoryYes/NoWeak/Moderate/StrongDescription

Overall moat rating:

  • Weak — No meaningful barriers. Competitors can replicate within 6 months.
  • Moderate — 1-2 barriers provide temporary advantage. Replication takes 1-2 years.
  • Strong — Multiple reinforcing barriers. Replication takes 2-5 years.
  • Very Strong — Compounding barriers with flywheel effects. Extremely difficult to replicate.
Phase 6: Report Generation

Produce the final competitive analysis report with these sections:

  1. Executive Summary — Competitive landscape threat level (Low / Moderate / High / Critical), top 3 competitive risks, top 3 competitive advantages
  2. Competitor Roster — Discovery table from Phase 1
  3. Porter's Five Forces Scorecard — Force-by-force scoring with evidence from Phase 2
  4. Feature Comparison Matrix — Full feature table with gap analysis from Phase 3
  5. Pricing Analysis — Pricing table and positioning from Phase 3
  6. Positioning Map — 2D map with white space analysis from Phase 4
  7. Moat Assessment — Defensibility table and rating from Phase 5
  8. Strategic Recommendations
    • Immediate actions (0-3 months): address critical gaps or threats
    • Medium-term plays (3-12 months): build differentiators and strengthen moats
    • Long-term positioning (1-3 years): sustainable competitive advantage strategy
  9. Risks & Mitigation — Top competitive risks with specific mitigation strategies

Quality Checks

Before delivering the report, verify:

  • Competitor roster covers all three tiers (direct, indirect, potential)
  • Every Five Forces score has supporting evidence, not just a number
  • Feature matrix uses consistent scoring across competitors
  • Pricing data is sourced and dated (pricing changes frequently)
  • Positioning map dimensions are customer-relevant, not internal metrics
  • Moat assessment distinguishes between current moats and aspirational moats
  • Strategic recommendations are specific and actionable, not generic advice
  • All claims about competitors are sourced via WebSearch, not assumed

Edge Cases

SituationAdaptation
Pre-launch product with no direct competitorsFocus on indirect competitors and substitutes. Emphasize the "potential entrants" tier. The absence of direct competitors is itself a signal worth analyzing (nascent market vs. no market).
Highly fragmented market (50+ competitors)Segment competitors into strategic groups. Analyze 2-3 representative competitors per group rather than every player.
Monopoly or duopoly marketFive Forces analysis becomes more important. Focus on substitute threats and potential entrants. Analyze the dominant player's moats in detail.
B2B enterprise with opaque pricingNote pricing opacity as a finding. Use job postings, case studies, and review sites for indirect pricing signals.
User provides a competitor listSkip discovery in Phase 1. Validate the list for completeness (are there missing tiers?) and proceed to Phase 2.
Rapidly changing marketDate-stamp all findings. Flag data older than 6 months as potentially stale. Emphasize monitoring recommendations.

© Mathews-Tom, 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 4 other files (references) in skills/competitive-analyzer of Mathews-Tom/armory.

  • SKILL.md
  • evals/cases.yaml
  • references/competitive-matrix.md
  • references/porters-five-forces.md
  • references/positioning-analysis.md

Open the folder on GitHubat commit 4594fb7

Compare with similar skills

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Competitive Analysisw95/awesome-claude-corporate-skills2371 repos~4kAutomated safety check: PassMIT
Competitor Researcherhanzili/hanzi-browse177—~4.7kAutomated safety check: PassCustom licence
Competitive Cartographercuriositech/some_claude_skills2431 repos~1.3kAutomated safety check: PassMIT

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Categories

Questions about Competitive Analyzer

What does Competitive Analyzer do?

Competitive landscape analysis: Porter's Five Forces, competitor discovery, feature/pricing matrices, positioning maps, moat assessment via WebSearch. Competitive Analyzer is an agent skill from Mathews-Tom/armory. Competitive landscape analysis: Porter's Five Forces, competitor discovery, feature/pricing matrices, positioning maps, moat assessment via WebSearch.

When should I use Competitive Analyzer?

Competitive Analyzer fits situations like: : competitive analysis; competitor comparison; competitive landscape; porters Five Forces.

How do I install Competitive Analyzer in Claude Code?

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

How do I install Competitive Analyzer in Codex?

Run `npx skills add Mathews-Tom/armory --skill competitive-analyzer -a codex`. Or copy the skill folder (skills/competitive-analyzer in Mathews-Tom/armory) into .agents/skills/competitive-analyzer in your project. Codex loads it when a task matches its description.

Can I use Competitive Analyzer 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 Mathews-Tom/armory --skill competitive-analyzer -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-analyzer, .gemini/skills/competitive-analyzer, .github/skills/competitive-analyzer and .opencode/skills/competitive-analyzer in your project.

What does Competitive Analyzer need to run?

SKILL.md names no scripts, command-line tools or credentials: Competitive Analyzer is instructions for the agent only.

Does Competitive Analyzer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Competitive Analyzer 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. Review the folder before installing.

What licence does Competitive Analyzer use?

Competitive Analyzer 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 Analyzer use?

About 2.8k tokens (SKILL.md is roughly 11k 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 8.2k tokens, read only when the agent opens those files.

What are the alternatives to Competitive Analyzer?

Skills that share tags, products or a category with Competitive Analyzer: Startup Design (ferdinandobons/startup-skill, 1.2k stars), Competitor Teardown (irinabuht12-oss/marketing-skills, 3.9k stars), Competitive Analysis (w95/awesome-claude-corporate-skills, 237 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 Analyzer?

Mathews-Tom (a GitHub user) maintains it in Mathews-Tom/armory, which has 328 GitHub stars. The repository holds 80 skills in this directory. The repository was last updated on October 6, 2026.

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