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This repository page has enough original analysis, source evidence, and comparison context to be treated as an indexable Git-Stars review.
90
review score
Problem solved
It solves the problem of AI agents lacking domain-specific, reusable workflows for content creation and publishing, which typically require extensive prompt engineering or custom scripting. By packaging skills as installable modules, it standardizes tasks like image generation, Markdown-to-HTML conversion, and WeChat posting, reducing setup time and context overhead compared to writing custom prompts from scratch.
Deployment reality
The available setup signal starts with: npx skills add jimliu/baoyu-skills. Treat this as a starting point, then ask Codex or Claude to inspect the README, environment variables, runtime version, and deployment target before production use.
Commercial use
The recorded license is MIT. This is a useful commercial-use signal, but teams should still verify license text, dependencies, model/API terms, and trademark constraints.
Capability ceiling
Developers can build automated content pipelines, such as turning raw drafts into formatted Markdown articles, generating Xiaohongshu image cards with style/layout control, creating cover images, and publishing directly to WeChat Official Accounts via API. The ceiling includes integrating with ClawHub for individual skill distribution, registering as a plugin marketplace for one-click installs, and combining with design skills (baoyu-design) to produce UI mockups and prototypes, enabling end-to-end content production and design automation within coding agents.
Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.
JimLiu/baoyu-skills is tracked as a TypeScript project in the AI Agent area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.
Momentum check: the repository has 25k total stars, with +44 today, +0 this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.
Maintenance check: current activity is Moderate; the latest push was 50 days ago, and the open issue queue is 8, about 0.03% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.
Adoption check: 2.8k forks and 25k watchers suggest how often the project is reused or followed. License signal: MIT. Always verify license compatibility before commercial or internal use.
Practical fit: this project is most relevant when you need TypeScript teams evaluating ecosystem-native tooling. Be cautious when you need a legal review, security audit, or production SLA.
Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 44. Follow the original GitHub repository for final install, security, and release information.
Analysis
ReadyOriginal problem, capability, and verdict guidance are available.
Sources
ReadyRepository metadata and README/source references are attached.
License
ReadyMIT is recorded for review.
Maintenance
ReadyRecent activity is visible in repository metadata.
Alternatives
ReadyEnough nearby projects exist for comparison.
Momentum
25k Stars
Reuse
2.8k Forks
Attention
25k Watchers
Maintenance
moderate
License
MIT
Open issues
8
baoyu-skills is a collection of 20+ AI Agent skills (for Claude Code, Codex, etc.) shared by Baoyu to improve daily work efficiency, covering content generation, AI backends, and utility tools. It includes skills for creating Xiaohongshu image cards, article illustration, WeChat publishing, and more, with installation via npx or as a plugin marketplace.
Key Features
- 20+ modular skills for content generation, AI backends, and utilities - Skills for Xiaohongshu image cards, article illustration, WeChat publishing, and markdown formatting - Installable individually via npx, ClawHub, or as a plugin marketplace for coding agents
AI Agent
Agent frameworks, autonomous workflows, and tool-use systems
npx skills add jimliu/baoyu-skills70
Health Score
Moderate
Commit Activity
Jan 13, 2026
Created
Jul 4, 2026
Last push
+0
Today's growth
+0
7-day growth
+0
30-day growth
Forks
Open
Watchers
JimLiu
GitHub profileobra/superpowers
An agentic skills framework & software development methodology that works.
affaan-m/ECC
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
NousResearch/hermes-agent
The agent that grows with you
mattpocock/skills
Skills for Real Engineers. Straight from my .agents directory.
anomalyco/opencode
The open source coding agent.
✓
License
✓
Forked
~ Moderate
Maintained
Problem Solved
It solves the problem of AI agents lacking domain-specific, reusable workflows for content creation and publishing, which typically require extensive prompt engineering or custom scripting. By packaging skills as installable modules, it standardizes tasks like image generation, Markdown-to-HTML conversion, and WeChat posting, reducing setup time and context overhead compared to writing custom prompts from scratch.
Capabilities
Developers can build automated content pipelines, such as turning raw drafts into formatted Markdown articles, generating Xiaohongshu image cards with style/layout control, creating cover images, and publishing directly to WeChat Official Accounts via API. The ceiling includes integrating with ClawHub for individual skill distribution, registering as a plugin marketplace for one-click installs, and combining with design skills (baoyu-design) to produce UI mockups and prototypes, enabling end-to-end content production and design automation within coding agents.
Bottom Line
This is ideal for content creators, marketers, and developers who use AI coding agents and want to automate repetitive content generation and publishing tasks without writing custom scripts. It is less suited for those who need non-content-related skills or prefer monolithic tools, as the modular approach requires selective installation to avoid context bloat. The key trade-off is flexibility and modularity versus the need to manage multiple skill dependencies and credentials.