cn-gaokao-planner
Help a student and family plan university applications after the 高考 (gaokao): use the student's provincial rank rather than raw score, build a 冲 / 稳 / 保 (reach, match, safe) list from official historical admission data, check subject requirements under the new gaokao, and weigh major against univers…
Install / Use
npx skills add mohitagw15856/pm-claude-skills --skill cn-gaokao-plannerInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Tags
Our assessment of cn-gaokao-planner
cn-gaokao-planner scores 82/100 on our quality scale, 3339th of 4,601 Development & Engineering skills we index.
Its SKILL.md is 4.3 KB long, well organised into 9 sections and no code examples: a solid amount of guidance for an agent.
With 1,440 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated today, so cn-gaokao-planner is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
cn-gaokao-planner compared with similar skills
All 4 of these similar skills score higher than cn-gaokao-planner; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| cn-gaokao-planner (this skill)by mohitagw15856 | 82 | 1.4k | today | SKILL.md |
| ai-job-searchby MadsLorentzen | 100 | 46.3k | 4d ago | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.8k | 1d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 20d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 20d ago | SKILL.md |
Frequently asked questions
- How do I install cn-gaokao-planner?
- Run
npx skills add mohitagw15856/pm-claude-skills --skill cn-gaokao-planner. The install tabs above show the steps for each supported agent. - Which AI agents does cn-gaokao-planner work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is cn-gaokao-planner safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is cn-gaokao-planner still maintained?
- The repository was last updated today, so cn-gaokao-planner is actively maintained.
Skill content
View source on GitHubname: cn-gaokao-planner description: "Help a student and family plan university applications after the 高考 (gaokao): use the student's provincial rank rather than raw score, build a 冲 / 稳 / 保 (reach, match, safe) list from official historical admission data, check subject requirements under the new gaokao, and weigh major against university. Use when asked 帮我填高考志愿, 志愿怎么填, 冲稳保怎么排, 这个分数能上什么学校, or plan gaokao applications. Produces a structured application list with the reasoning for each choice, a risk check of the whole list, and the questions to settle as a family. Never guarantees admission." version: 1.0.0
Gaokao Application Planner (高考志愿)
Choosing universities after the gaokao is one of the biggest decisions a Chinese family makes, under time pressure and with a lot of paid advice of mixed quality. The method that works is well understood: plan by provincial rank, not score; build a list of reach, match and safe choices from official data; check subject requirements; and decide between a better university and a preferred major on purpose. This skill applies that method with the family's data.
Write the output in Simplified Chinese unless asked otherwise.
What This Skill Produces
- The student's position: rank, the comparable rank in previous years, and what it means
- A 冲 / 稳 / 保 list: each choice with past admission ranks, the margin, and the reason
- A subject-requirement check under the province's gaokao model
- A risk check of the whole list: gaps, clustering, adjustment (调剂) exposure
- Family questions: the trade-offs to settle before submitting
Required Inputs
Ask for these if not provided:
- Province, year, and the gaokao model there (traditional, 3+3, or 3+1+2)
- Score and provincial rank (位次), and the subjects taken
- Batch and the number of choices allowed in that province
- Preferences: majors, cities, distance from home, cost, public versus private, postgraduate plans
- Historical admission data: from the provincial education examination authority's official publications or the university's admissions site. If the family has none, say what to download, and do not invent numbers
Framework
- Use rank, not score. Scores move with paper difficulty; ranks are comparable across years. Convert the student's rank to the equivalent score in each of the last three years using the official 一分一段表.
- Read past data by rank. For each candidate university and major group, list the lowest admitted rank in each of the last three years.
- Band the choices:
- 冲 (reach): past lowest rank slightly better than the student's
- 稳 (match): past lowest rank close to the student's
- 保 (safe): past lowest rank clearly below the student's, in every recent year A typical spread is about a fifth reach, half match, the rest safe; adjust to the number of choices allowed.
- Check requirements: required subjects, physical requirements for some majors, single-subject score thresholds, language for foreign-language majors.
- Adjustment (服从调剂): explain the risk of being moved to an unwanted major, and of being rejected (退档) if adjustment is refused.
- University or major: make the family decide on purpose which matters more, and order choices accordingly.
Output Format
高考志愿规划:[省份] [年份],位次 [位次]
一、位次分析:等效分数(近三年)与含义
二、志愿表 | 序号 | 类别 冲/稳/保 | 院校 / 专业组 | 近三年最低位次 | 与本人位次差 | 选科要求 | 理由 |
三、整体风险检查:梯度是否合理、是否扎堆、调剂风险
四、家庭需要商量的问题
End verbatim: "以上为基于历史数据的规划建议,不保证录取。请以省教育考试院和高校当年公布的招生计划与政策为准,并在截止前核对所有信息。"
Quality Checks
- [ ] Planning uses rank, with past ranks from official sources named
- [ ] Every choice has three years of data or is flagged as having less
- [ ] Safe choices are safe in every recent year, not on average
- [ ] Subject requirements are checked for every choice
- [ ] No admission is promised; the disclaimer appears verbatim
Anti-Patterns
- Planning by raw score.
- Inventing admission data. Every rank comes from an official source the family can check.
- A list with no safe choices, or all choices clustered in one band.
- Ignoring adjustment risk. It decides outcomes for many students.
- Promising admission. No one can.
Example Trigger Phrases
- "我在河南,今年考了 610 分,位次 2 万左右,帮我填志愿。"
- "冲稳保怎么排比较合理?"
- "想学计算机,选好学校还是好专业?"
- "Help us plan gaokao university applications."
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
