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SKILL verified MIT Self-run

Competitor Analysis

skill-indranilbanerjee-digital-marketing-pro-competitor-analysis · by indranilbanerjee

Run competitive analysis. Use when: content, SEO, paid ads, social, AI visibility, pricing, positioning comparison.

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Install

$ agentstack add skill-indranilbanerjee-digital-marketing-pro-competitor-analysis

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

/digital-marketing-pro:competitor-analysis

Purpose

Deliver a comprehensive competitive intelligence report across all major marketing dimensions. Identify competitor strengths, weaknesses, strategies, and gaps the brand can exploit.

Input Required

The user must provide (or will be prompted for):

  • Competitors: 2-5 competitor names and/or URLs
  • Analysis scope: Full analysis or specific dimensions (SEO, content, ads, social, pricing)
  • Key battleground keywords: Terms where the brand competes head-to-head
  • Industry/category: For contextual benchmarking

Process

  1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Apply brand voice, compliance rules for target markets (skills/context-engine/compliance-rules.md), and industry context. Also check for guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json — if present, load restrictions and relevant category files. Check for custom templates at ~/.claude-marketing/brands/{slug}/templates/. Check for agency SOPs at ~/.claude-marketing/sops/. If no brand exists, ask: "Set up a brand first (/digital-marketing-pro:brand-setup)?" — or proceed with defaults.
  2. Content analysis: Content types, publishing frequency, top-performing content, content gaps, topic authority
  3. SEO analysis: Domain authority, keyword overlap, ranking gaps, backlink comparison, technical health
  4. Paid advertising: Ad copy themes, landing page strategies, estimated spend, platform focus
  5. Social media: Platform presence, follower growth, engagement rates, content mix, posting cadence
  6. AI visibility: How competitors appear in AI answer engines versus the brand
  7. Pricing and positioning: Pricing models, value proposition, messaging frameworks, market positioning
  8. Synthesize findings into strategic opportunities and threats
  9. Generate actionable recommendations for competitive advantage

Output

A structured competitive analysis containing:

  • Competitor overview matrix with key metrics per competitor
  • Content strategy comparison with gap analysis
  • SEO competitive landscape with keyword and link opportunities
  • Paid media intelligence with creative and targeting insights
  • Social media benchmarking with engagement analysis
  • AI visibility comparison across platforms
  • Pricing and positioning map
  • SWOT summary per competitor
  • Strategic recommendations prioritized by opportunity size

Agents Used

  • competitive-intel — All competitive dimensions, benchmarking, gap analysis, and strategic recommendations

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.