linuxdo-application
Skill1 starsChanged 5 months agoMITView on GitHub
Craft high-pass-rate, de-AI'd Chinese applications (小作文) for Linux.do registration. Conducts an adaptive survey to learn the applicant's real background, then generates natural, rule-compliant plain text ready to paste. All user interactions in Chinese.
1 other project uses a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- Fei2-Labs/skill-genieedited, first seen Sep 24, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 1
- Fei2-Labs/skill-genie★ 1299% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
Show its rules and text
We split this skill into the rules it gives an agent
17 rules. About 0 are common, 14 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈14
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 31
Ask one question at a time.
- Distinctive: line 42
If an answer is vague (e.g., "想学习交流"), probe deeper: "具体想学什么?在哪看到过相关讨论?"
- Distinctive: line 43
If an answer already covers multiple blocks, skip redundant questions
- Distinctive: line 44
If the applicant mentions a specific post/topic, ask them to elaborate — this is gold
- Very specific: line 45
Stop when all 4 info blocks are covered (see references/linuxdo-rules.md)
- Distinctive: line 47
Verification: Before moving to Phase 2, confirm internally:
- Distinctive: line 53
If any block is missing, ask one more targeted question.
- Distinctive: line 60
Write in first person, casual Chinese — like telling a friend why you signed up
- Distinctive: line 63
Use the applicant's own words and phrasing where possible
- Distinctive: line 64
No greetings, no sign-offs, no "你好" or "谢谢" — just the substance
- Distinctive: line 79
If any HIGH risk is triggered, rewrite before proceeding.
- Very specific: line 83
Run the draft through the full de-AI checklist (see references/de-ai-checklist.md).
- Distinctive: line 86
Check all 12 AI markers — flag and rewrite any matches
- Distinctive: line 87
Read the text as if you're a human reviewer — does it smell like AI?
- Distinctive: line 96
If the user wants changes, revise and re-run Phase 3 checks.
- Distinctive: line 111
After final output, confirm:
- Very specific: line 122
Rule updates: When Linux.do changes registration rules, update references/linuxdo-rules.md
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Linux.do Application Writer
Generate a natural, high-pass-rate registration application for Linux.do through an adaptive interview followed by rule-aware, de-AI'd text generation.
Triggers
- "write linux.do application"
- "linux.do 小作文"
- "linux.do 注册申请"
- "help me apply to linux.do"
Quick Reference
| Input | Output | Duration |
| Answers to 5-8 survey questions | Plain text Chinese application (~80-150 chars) | 5-10 min |
Process
Phase 1: Applicant Survey
Conduct an adaptive interview in Chinese to collect the 4 required info blocks. Ask one question at a time. Adapt follow-ups based on answers.
Core questions (ask in Chinese, adapt order based on flow):
- 你平时主要做什么?(工作、学习、兴趣方向)
- 你是怎么知道 Linux.do 的?(搜索、朋友推荐、看到某个帖子?)
- 你在上面浏览过哪些内容?有没有印象深的帖子或话题?
- 为什么现在想注册?有什么具体的需求或场景吗?
- 注册之后你打算怎么用?(潜水、回帖、关注某类话题、分享经验?)
Adaptive rules:
- If an answer is vague (e.g., "想学习交流"), probe deeper: "具体想学什么?在哪看到过相关讨论?"
- If an answer already covers multiple blocks, skip redundant questions
- If the applicant mentions a specific post/topic, ask them to elaborate — this is gold
- Stop when all 4 info blocks are covered (see references/linuxdo-rules.md)
Verification: Before moving to Phase 2, confirm internally:
- Background covered (what they do/follow)
- Discovery path covered (how they found the site)
- Join reason covered (why register now, specific scenario)
- Usage plan covered (what they'll do with the account)
If any block is missing, ask one more targeted question.
Phase 2: Draft Generation + Risk Check
Generate the application draft using collected info.
Generation rules:
- Write in first person, casual Chinese — like telling a friend why you signed up
- Target 80-150 characters. Not too short (looks lazy), not too long (looks try-hard)
- Weave all 4 info blocks naturally — do NOT use a 4-paragraph structure
- Use the applicant's own words and phrasing where possible
- No greetings, no sign-offs, no "你好" or "谢谢" — just the substance
- Allow sentence fragments, colloquialisms, and imperfect grammar
- Vary sentence length: mix short punchy lines with longer ones
Risk check — scan the draft against these (see references/linuxdo-rules.md):
| Risk Level | Check |
| HIGH | Does it mention background? Discovery path? Join reason? |
| HIGH | Is there any concrete fact, or is it all fluff? |
| HIGH | Does it look like a template that could apply to anyone? |
| MEDIUM | Is it only admiration/flattery without substance? |
| MEDIUM | Is it only "I can contribute X" without explaining why here? |
| MEDIUM | Is info density too low for the character count? |
If any HIGH risk is triggered, rewrite before proceeding.
Phase 3: De-AI Polish + Final Output
Run the draft through the full de-AI checklist (see references/de-ai-checklist.md).
Audit steps:
- Check all 12 AI markers — flag and rewrite any matches
- Read the text as if you're a human reviewer — does it smell like AI?
- Apply the 3-question smell test:
- Could you swap details and reuse this for someone else? → too generic
- Does every sentence add new information? → cut filler
- Would you text this to a friend? → loosen if too formal
Output: Present the final application as plain text in a code block. Tell the user in Chinese: "这是你的申请文,可以直接复制粘贴到注册页面。"
If the user wants changes, revise and re-run Phase 3 checks.
Anti-Patterns
| Avoid | Why | Instead |
| Parallel structures (我喜欢X,我热爱Y) | AI marker #1 | Vary grammar patterns |
| 三段式 (首先/其次/最后) | AI marker #2 | Drop scaffolding |
| AI vocab (赋能/深耕/沉淀/赛道) | AI marker #5 | Use plain spoken Chinese |
| Flattery (久仰大名/慕名而来) | High-risk per rules | Replace with real discovery story |
| Generic motivation (想学习交流) | Medium-risk per rules | State specific use case |
| Press-release tone | AI marker #9 | Add 吧/嘛/其实/反正 |
Verification
After final output, confirm:
- All 4 info blocks present
- 80-150 characters
- Zero high-risk patterns
- Passes all 12 de-AI markers
- Reads like a real person wrote it
- Plain text, no formatting
Extension Points
- Rule updates: When Linux.do changes registration rules, update
references/linuxdo-rules.md - New AI markers: As AI detection evolves, add markers to
references/de-ai-checklist.md - Multi-community: Adapt the survey + rule framework for other invite-only communities
References
- Linux.do Rules & Signals — official rules + community patterns
- De-AI Checklist — 12 AI markers to detect and fix
Related Skills
| Skill | Use When |
| humanizer-zh | Additional de-AI processing for Chinese text |
| psychology-master | Deeper user profiling during survey |
| wechat-compliance-check | Need to check Chinese content for platform compliance |
Always run openskills list before starting to discover and load any relevant skills that can enhance the application writing process.
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