Which programming languages and package managers are supported?

It features built-in guides for Node.js (package.json), Python (pyproject.toml/requirements.txt), and Rust (Cargo.toml), but can be used to analyze any repository Claude can access.

How does this differ from web-based competitor analysis?

This skill ignores marketing claims and third-party summaries. It requires cloning the actual source code to your local machine to verify exactly how a competitor's software is built.

What is the 'Forbidden Patterns' rule?

It is a core constraint that prevents Claude from using speculative language like 'probably' or 'likely.' All claims must be backed by specific file references and line numbers.

Can I use this for private repositories?

Yes, as long as your local environment has the necessary SSH keys or Git credentials to clone the target repository.

Where does the skill store the analyzed data?

It organizes data into a standardized local structure under ~/Workspace/competitors/ sorted by product and competitor name for easy retrieval.

Evidence-Based Competitor Analysis

Name: Evidence-Based Competitor Analysis
Author: LuodashiV5

byLuodashiV5

•

開発者ツール

Conducts rigorous, code-level competitor analysis by examining actual source repositories rather than relying on speculation.

The Competitors Analysis skill transforms Claude into a technical strategist by enforcing a strict 'evidence-only' workflow for market research. Instead of relying on marketing materials or assumptions, this skill mandates the cloning of competitor repositories to verify technical stacks, architectural patterns, and dependency versions directly from source files like package.json, Cargo.toml, and pyproject.toml. It is ideal for engineering leads and product managers who require high-fidelity technical intelligence to inform roadmap decisions and benchmarking.

主な機能

01Structured templates for consistent competitor profiling and insights

021 GitHub stars

03Automated tech stack detection for Node.js, Python, and Rust

04Mandatory repository cloning for verified, local-first analysis

05Evidence-based reporting requiring file-and-line-number citations

06Standardized directory structure for multi-competitor management

ユースケース

01Auditing competitor dependencies and architecture for strategic planning

02Technical benchmarking against rival open-source or internal projects

03Maintaining a local knowledge base of competitor code evolution

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add luodashiv5/please_answer_this_era_5.0 competitors-analysis

For use in Claude.ai and ChatGPT

主な機能

01Structured templates for consistent competitor profiling and insights

021 GitHub stars

03Automated tech stack detection for Node.js, Python, and Rust

04Mandatory repository cloning for verified, local-first analysis

05Evidence-based reporting requiring file-and-line-number citations

06Standardized directory structure for multi-competitor management

ユースケース

01Auditing competitor dependencies and architecture for strategic planning

02Technical benchmarking against rival open-source or internal projects

03Maintaining a local knowledge base of competitor code evolution

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add luodashiv5/please_answer_this_era_5.0 competitors-analysis

For use in Claude.ai and ChatGPT