Competitor Analysis Skill

This is an AI-agnostic research workflow for mapping competitors, market tiers, positioning, strengths, weaknesses, threats, and strategic opportunities.

The skill is portable across AI tools. Use it with ChatGPT, Claude, Gemini, Perplexity, Manus, Codex, Cursor, local models, browser-based research, note-taking systems, spreadsheets, or manual research.

What It Helps With

• Map the competitive landscape into meaningful tiers or categories
• Build concise competitor profiles with strengths, weaknesses, pricing, and positioning
• Identify market gaps, substitution threats, and differentiation opportunities
• Compare products on features, audience, pricing, channels, proof, and strategic implications
• Turn competitor research into actionable positioning and product strategy

Why It Exists

Research templates are useful, but assistants often fill them with plausible-sounding generalities unless they are forced to track evidence, assumptions, gaps, and strategic implications. This skill turns the source template into an operating workflow: gather the right inputs, structure the research, mark uncertainty, and produce an artifact that can guide real decisions.

Repository Contents

.
|-- SKILL.md
|-- README.md
|-- assets/
|   `-- competitor-analysis-banner.png
|-- agents/
|   `-- openai.yaml
`-- references/
    `-- source-template.md

• SKILL.md is the installable skill.
• references/source-template.md preserves the original Nessie template that inspired the workflow.
• agents/openai.yaml is optional UI metadata for OpenAI/Codex-style skill surfaces.

Quick Start

Give an assistant the contents of SKILL.md, then ask it to produce or improve the research artifact.

Example:

Use the Competitor Analysis skill to turn the notes below into a clear, evidence-backed research artifact. Mark assumptions and gaps instead of inventing facts.

For tools that support skill folders, install or copy this folder into the tool's skills directory and invoke:

Use $competitor-analysis to analyze this competitive landscape and strategic opportunity.

Recommended Process

1. Clarify the product, audience, market, and decision the research should support.
2. Gather supplied material and current external sources when available.
3. Separate evidence from assumptions.
4. Draft the research artifact using the skill's output sections.
5. Audit the artifact for unsupported claims, vague categories, stale data, and missing next steps.

GitHub Description

AI-agnostic research skill for competitive landscape analysis, competitor profiles, positioning, and strategic opportunity mapping.

Suggested GitHub Topics

ai, ai-agents, research, market-research, competitive-analysis, competitor-analysis, positioning, strategy, product-strategy, gtm, market-map, differentiation, swot, prompt-engineering, ai-skills

Source Inspiration

This package was created from the shared Nessie context Competitor Analysis Template, then rewritten as portable, AI-agnostic agent instructions.

License

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