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Competitive Analyzer

skill-varunk130-ai-customer-discovery-skills-competitive-analyzer · by varunk130

Structured competitive teardown for product discovery - surface the 4-6 dimensions buyers actually weigh, score every competitor on each, and identify exploitable gaps. Use when: competitive analysis, competitor teardown, market positioning, where do we win, where do we lose, competitive gap analysis, competitor audit.

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Install

$ agentstack add skill-varunk130-ai-customer-discovery-skills-competitive-analyzer

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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.

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About

Competitive Analyzer

Run a disciplined competitive teardown that goes beyond a feature checklist. The output is the smallest set of decision-relevant dimensions, scored objectively across competitors, with explicit gaps you can attack and risks you should defend.

Core Principle

A competitive analysis is only useful if it changes a decision. Most teardowns produce 40-row feature grids that no one reads. This skill forces brutal selection: pick the 4-6 dimensions buyers actually weigh, score them with a defensible rubric, and surface the 2-3 moves the analysis implies.

Output

Save to outputs/competitive-analysis-[market]-[YYYY-MM-DD].md

| Artifact | Description | |----------|-------------| | Dimension Map | The 4-6 buyer-weighted dimensions with rationale for inclusion | | Scoring Matrix | Each competitor scored 1-5 on each dimension, with one-line evidence per cell | | Gap Map | Dimensions where every competitor underperforms - the white space | | Risk Map | Dimensions where one competitor strongly outperforms us | | Implied Moves | 2-3 concrete strategic moves the analysis suggests, ranked by leverage |

Process

Step 1: Frame the Market

I'll ask: > "What market are we analyzing, and from whose perspective? List the competitors (3-7 works best). What's the deal context - what's a typical buyer trying to accomplish?"

Step 2: Pick the Dimensions

Generate a candidate list of 12-15 dimensions, then ruthlessly cut to 4-6 by applying two filters:

  • Decision relevance - does this dimension actually move buying decisions?
  • Discriminating power - do competitors meaningfully differ on it? (Dimensions where everyone scores the same get cut.)

Step 3: Score with Evidence

For each (competitor × dimension) cell, score 1-5 with a single sentence of evidence - a public artifact, a customer quote, a product behavior - not opinion.

Step 4: Identify Gaps and Risks

Two scans across the matrix:

  • Gap - any dimension where the highest score is ≤3 → market is underserved, opportunity
  • Risk - any dimension where a competitor scores 5 and we score ≤3 → defensive priority

Step 5: Implied Moves

Translate the gap and risk maps into 2-3 concrete moves: build, partner, position, retreat. Each move includes the evidence from the matrix that justifies it.

Tips

  1. Evidence-only scoring. A score without evidence is opinion; opinions don't survive the next leadership review.
  2. Cut the matrix until it hurts. A 4-dimension matrix that gets used beats a 12-dimension matrix that gets ignored.
  3. Re-run quarterly. Competitive position shifts; rerun cadence keeps the analysis honest.

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.

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Versions

  • v0.1.0 Imported from the upstream source.