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Competitors Analysis

daymade/claude-code-skills

This is a structured workflow for analyzing competitor code repositories with strict evidence-based rules. It forces you to clone repos locally, read actual files with cat and ls, and cite every technical claim with source file and line numbers. The whole thing is built around preventing speculation: no "推测", no "可能", no assumptions. You get templates, checklists, and specific commands for extracting tech stack info from package.json, Cargo.toml, or pyproject.toml. It's opinionated about Chinese network issues requiring SSH retries and includes scripts for managing multiple competitor repos. Useful when you need defensible competitive analysis that can be audited, not just vibes from skimming GitHub pages.

skills.sh installs
694
GitHub stars
1.5K
last updated
Aug 21, 2026
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Install

$ npx -y skills add daymade/claude-code-skills --skill competitors-analysis --agent claude-code

Installs into .claude/skills of the current project.

Files

Competitors Analysis

Build competitor intelligence that can be shared, re-run, and audited later. This skill has two layers:

  1. Repository evidence: clone or update the competitor code under the durable competitors workspace, then cite facts from actual files and commits.
  2. Landscape synthesis: explain which product choices the evidence changes, including trade-offs and what would overturn the judgment. Keep positioning, pricing, strengths and gaps as supporting evidence.

This skill intentionally subsumes lightweight "competitor scan" workflows. A scan is useful for the landscape table, but it is not enough for technical conclusions.

Resolve the analysis target (read this first)

The executing agent resolves two separate inputs: the code source to analyze and the our-product context used for comparison. A repository URL identifies the first; a separately typed product name is not required to profile it.

SKILL.md on GitHub

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Details

Repository
github.com/daymade/claude-code-skills
First seen
Jun 3, 2026

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