dontbesilent2025/dbskill

dontbesilent 的商业诊断 Skills

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Summary Information

Updated 15 minutes ago
Added to GitGenius on September 1st, 2026
Created on March 20th, 2026
Open Issues & Pull Requests: 0 (+0)
GitHub issues: Enabled
Number of forks: 1,145
Total Stargazers: 9,997 (+2)
Total Subscribers: 35 (+0)

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Detailed Description

dbskill is a Chinese AI Skills toolkit for entrepreneurs and content creators.

The tool addresses the problem of entrepreneurs and content creators needing clear business judgment and actionable next steps without having to learn complex methodologies or know which tool to call. It works by accepting real business situations, content challenges, or decision points through a conversational interface. The core `/dbs` command reads the conversation context and recommends whether a single Skill or a combination of up to three Skills (one primary and up to two supporting) is needed. The toolkit draws from structured knowledge derived from public statements, distilled into individual knowledge atoms and consolidated into callable Skills covering business model diagnosis, content optimization, action planning, decision documentation, and content asset management.

Entrepreneurs and content creators facing pricing decisions, content production bottlenecks, execution delays, recurring choices, scattered materials, or the need for stable knowledge retrieval should consider this tool. It is designed for those working in Chinese-language contexts and integrates with multiple Agent platforms including Douyin, WorkBuddy, Claude Code, and others that support Skills. The tool provides specific guidance on business model changes, content direction and optimization, action planning, decision tracking, and knowledge base organization rather than generic advice.

The project maintains active development with regular updates adding new data sources and refining existing capabilities. The toolkit has been structured from a substantial body of public knowledge and continues to expand its Skill offerings. Updates address both new functionality and operational constraints such as data retrieval timeouts.