A modular toolkit providing business diagnosis capabilities, designed as Claude Code skills. It addresses the need for structured business analysis by transforming insights from social media into actionable knowledge atoms and methodologies, benefiting AI developers, researchers, and business strategists seeking to integrate or leverage sophisticated diagnostic frameworks.

How It Works

The project structures distilled knowledge from over 12,000 tweets into 4,176 "knowledge atoms," each tagged with topics, skill relevance, and confidence. These atoms, along with refined methodology documents ("Skill Knowledge Packages"), form modular components that can be integrated into AI systems (like Claude Code) or used independently for RAG, chatbot development, or direct analysis. The approach emphasizes modularity and structured data extraction for practical application.

Quick Start & Requirements

• Primary install: npx skills add dontbesilent2025/dbskill or manual git clone https://github.com/dontbesilent2025/dbskill.git.
• Prerequisites: Requires a Claude Code environment.
• Links: Repository: https://github.com/dontbesilent2025/dbskill.git

Highlighted Details

• Knowledge Atomization: 4,176 structured knowledge points derived from tweets, including original text, topics, skill association, type (principle, case, anti-pattern, etc.), and confidence scores.
• Modular Skill Packages: 10 distinct methodology documents organized by skill (diagnosis, benchmark, content, unblock, deconstruct), each including framework and case studies.
• Versatile Integration: Usable as Claude Code skills, standalone RAG knowledge bases, system prompts for AI, or for direct learning and research.
• Workflow Automation: Skills are designed to recommend subsequent steps, guiding users through a diagnostic process.

Maintenance & Community

The README does not provide details on active maintenance, community channels (like Discord/Slack), notable contributors, sponsorships, or a public roadmap.

Licensing & Compatibility

Licensed under CC BY-NC 4.0. Personal, learning, and non-commercial use is permitted without attribution. Public derivative works require attribution. Commercial use necessitates separate authorization from the author.

Limitations & Caveats

The project's core knowledge is derived from social media (tweets), which may introduce inherent biases or limitations in depth. Commercial use is restricted without explicit licensing. The primary integration target is Claude Code, potentially limiting broader adoption without custom integration efforts.