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SKILL verified MIT Self-run

Battle Scanner

skill-varunk130-ai-gtm-skill-library-battle-scanner · by varunk130

Competitive intelligence engine that deconstructs competitor positioning, surfaces exploitable weaknesses, and predicts competitive responses. Use when: competitive analysis, competitor research, competitive landscape, competitive intelligence, who are our competitors, how do we compete against.

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Install

$ agentstack add skill-varunk130-ai-gtm-skill-library-battle-scanner

✓ 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
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Declared compatibility

Claude CodeClaude Desktop

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

Preview Execution monitoring

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How agent discovery & health will work →
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About

Battle Scanner (ARMOR Analysis)

Deconstruct competitor strategy, surface exploitable weaknesses, predict their responses to your moves, and generate win/loss playbooks.

When to Use

  • Pre-launch competitive assessment
  • Competitive deal strategy
  • Quarterly competitive landscape refresh
  • New competitor entering the market
  • Win rate declining against specific competitor

What You'll Need

Critical inputs (ask if not provided):

  • Your product/company name and category
  • Top 3-5 known competitors

Nice-to-have:

  • Signal Radar output (competitive threat signals)
  • Win/loss data from CRM
  • Customer feedback mentioning competitors

Process

Step 1: 4-Ring Competitor Classification

Map every competitor into concentric rings:

| Ring | Type | Threat Level | Examples | |------|------|-------------|----------| | Ring 1 | Direct -- same problem, same approach | Highest | Head-to-head feature competitors | | Ring 2 | Indirect -- same problem, different approach | High | Alternative solution categories | | Ring 3 | Adjacent -- different problem, could pivot | Medium | Companies with overlapping capabilities | | Ring 4 | Substitute -- manual/DIY/status quo | Baseline | Spreadsheets, manual processes, in-house builds |

Step 2: ARMOR Deep Dive (per Ring 1-2 competitor)

Analyze each competitor across 5 dimensions:

| Dimension | What to Analyze | Key Questions | |-----------|----------------|---------------| | Architecture | Product architecture, tech stack, scalability | What are their technical limitations? Where is their tech debt? | | Reputation | Brand perception, NPS, review scores, analyst position | Where do customers love them? Where do customers complain? | | Moat | Defensibility -- network effects, data, switching costs, IP | What makes them hard to displace? What is their weakest moat? | | Openings | Exploitable weaknesses -- complaints, gaps, pricing issues | Where are they vulnerable RIGHT NOW? | | Response Prediction | How they will respond to your launch | Will they: fast-follow, price war, FUD, ignore, or acquire? |

For Response Prediction, consider:

  • Their resources (cash, team size, engineering velocity)
  • Their strategic priorities (are they focused elsewhere?)
  • Historical behavior (how did they react to past competitive moves?)

Step 3: Win/Loss Pattern Extraction

For each Ring 1 competitor, document:

  • Win scenarios: When and why we beat them (deal stage, buyer type, use case)
  • Loss scenarios: When and why they beat us (same breakdown)
  • Swing factors: What tips deals one way or the other
  • Killer questions: Questions that expose their weaknesses in a sales conversation
  • Trap questions: Questions they ask to make us look bad (and how to handle them)

Step 4: Competitive Landscape Summary

Create the master competitive landscape document with:

  • Market positioning map (2x2 or multi-axis)
  • Per-competitor ARMOR summary (1 paragraph each)
  • Top 3 strategic competitive moves to make in next 90 days

Output

Save to outputs/battle-scanner-[YYYY-MM-DD].md

Deliverables:

  1. Competitive Landscape Map: 4-ring visual with all competitors classified and ARMOR-scored
  2. Competitor Profiles: Per-competitor ARMOR deep dive with evidence
  3. Win/Loss Playbooks: Scenario-based guides for competitive deal situations
  4. Response Prediction Matrix: How each competitor will likely react to your launch with counter-strategies

Chain Connections

  • Next skill: Run competitive-exec-brief to create the executive-ready PPTX summary
  • Also feeds: position-lock (competitive gaps inform positioning), enablement-forge (battle cards become sales assets)
  • Enhanced by: Run after signal-radar (signals reveal competitive threats) and whitespace-finder (gaps show where competitors are weak)

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.