ifuryst/aifi · Archived

competitive-landscape-analysis

Analyze a company's competitive landscape, peer set, industry structure, product positioning, customer overlap, margin differences, strategic advantages, and substitution risks.

First seen Aug 8, 2026

Installation

$ npx skills add ifuryst/aifi --skill competitive-landscape-analysis

Summary

  • Analyze a company's competitive landscape, peer set, industry structure, product positioning, customer overlap, margin differences, strategic advantages, and substitution risks.
  • Use for peer comparison and sector context in AIFi investment research, especially when a target like Intel must be compared with AMD, Nvidia, TSMC, Broadcom, or other competitors.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 22
License LICENSE
Default branch main
Open issues 0
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,844 B
  • docs SUMMARY.md 396 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 2 installs

SKILL.md

Competitive Landscape Analysis

Use this skill to explain what the target is competing against and where its position is strengthening or weakening. Keep peer selection explicit; bad peer sets produce misleading conclusions.

Workflow

  1. Load the target profile and peer set.
  2. Validate peers by business segment, customer problem, geography, and investor

comparability.

  1. Compare product position, growth, margins, capital intensity, strategy, and

valuation where data is available.

  1. Identify substitutes and ecosystem dependencies, not only direct public peers.
  2. Save the comparison under

research/targets/<target>/evidence/competitors/.

  1. Hand off durable advantages, threats, and open questions to thesis and risk

skills.

Read references/peer-comparison-framework.md before building the comparison.

Output

Return:

  • peer set and rationale
  • direct competitors, substitutes, suppliers, and customers where relevant
  • comparison table
  • target strengths and weaknesses
  • market-structure notes
  • archive files created or updated
  • thesis and risk handoffs

Quality Gate

Before finishing:

  • explain why each peer belongs in the comparison
  • avoid comparing unrelated multiples without business-model context
  • separate current evidence from strategic speculation
  • mark missing private-company or segment data
  • preserve a list of excluded peers when exclusion affects interpretation