head to head · open source
CL4R1T4S vs cangjie-skill
CL4R1T4S has 50,059 GitHub stars, 10,280 forks, 127 open issues and last shipped 10 days ago. cangjie-skill has 10,331 stars, 1,198 forks, 23 open issues and last shipped 7 days ago. CL4R1T4S leads on adoption by 385% (50,059 vs 10,331 stars). CL4R1T4S is written in various languages under AGPL-3.0; cangjie-skill is written in Python under MIT. CL4R1T4S has attracted 21% as many forks as stars, cangjie-skill 12%. cangjie-skill was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (prompt-engineering), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| CL4R1T4S | cangjie-skill | |
|---|---|---|
| GitHub stars | ★ 50K | ★ 10K |
| License | AGPL-3.0 | MIT |
| Written in | — | Python |
| Last push | 2026-09-10 | 2026-09-13 |
| Forks | ⑂ 10K | ⑂ 1.2K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick CL4R1T4S if
- You weight community size — 50K stars and counting
- You want the AGPL-3.0 license terms
- You value the larger contributor base for long-term maintenance
pick cangjie-skill if
- You want the cangjie-skill feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and cangjie-skill fits your workflow better
About CL4R1T4S
CL4R1T4S is an AGPL 3.0 repository of full extracted system prompts, guidelines and tools from the major AI models and agents — ChatGPT, Claude, Gemini, Grok, Perplexity, Cursor, Lovable, Replit and more — for anyone who wants to know what instructions sit behind the AI systems they use.
read the full CL4R1T4S overview →
About cangjie-skill
Cangjie Skill is an MIT licensed Python tool that distills methodologies from books, long form videos, and podcasts into callable AI Skills, built for developers and knowledge workers who assemble agent workflows on OpenClaw, Claude Code, or DeepSeek Harness.
read the full cangjie-skill overview →
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Frequently asked questions
Is CL4R1T4S or cangjie-skill more popular?
CL4R1T4S has 50,059 GitHub stars and cangjie-skill has 10,331. CL4R1T4S has the larger community by that measure.
Are CL4R1T4S and cangjie-skill free?
Both are open source. CL4R1T4S is licensed under AGPL-3.0 and cangjie-skill under MIT. Neither carries a licence fee.
What is the difference between CL4R1T4S and cangjie-skill?
CL4R1T4S is written in various languages and cangjie-skill in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, CL4R1T4S or cangjie-skill?
Choose CL4R1T4S if you want the larger community (50,059 stars) or its AGPL-3.0 licence terms. Choose cangjie-skill if its feature set, stack or MIT licence fits better. Both are self-hostable.