Agent skill

Cn Gaokao Planner

by mohitagw15856 in mohitagw15856/pm-claude-skills

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…

MITAuto-check passed

Install Cn Gaokao Planner

skills CLI
$ npx skills add mohitagw15856/pm-claude-skills --skill cn-gaokao-planner -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mohitagw15856/pm-claude-skills cn-gaokao-planner --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/cn-gaokao-planner .claude/skills/cn-gaokao-planner && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
cn-gaokao-planner
GitHub stars
1.4k
Token cost
~1.1k tokens
SKILL.md length
538 words
Files
1
Skills in repo
1,348
Repo updated
First seen
Licence
MIT

At a glance

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…

  • Works in 6 steps: Use rank, not score. Scores move with… → Read past data by rank. For each… → Band the choices → …
  • Plan gaokao applications
  • SKILL.md covers What This Skill Produces, Required Inputs, Framework and Output Format, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Cn Gaokao Planner is an agent skill from mohitagw15856/pm-claude-skills. 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…

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.

When your agent uses it

  • Plan gaokao applications

Example prompts

  • “/cn-gaokao-planner”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Use rank, not score. Scores move with paper difficulty; ranks are comparable across years. Convert the student's rank to the equivalent…
  2. Read past data by rank. For each candidate university and major group, list the lowest admitted rank in each of the last three years.
  3. Band the choices
  4. Check requirements: required subjects, physical requirements for some majors, single-subject score thresholds, language for…
  5. 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.
  6. University or major: make the family decide on purpose which matters more, and order choices accordingly.

What it can do on your machine

Read from SKILL.md and the folder at commit 1cbf1f0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Cn Gaokao Planner loads about 1.1k tokens when it runs. Until then it costs about 145 tokens; SKILL.md has 538 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~145
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 538 words, ~1,101 tokens.

Download SKILL.mdSave it as .claude/skills/cn-gaokao-planner/SKILL.md (or your agent's skills folder).
name
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

  1. 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.
  2. Read past data by rank. For each candidate university and major group, list the lowest admitted rank in each of the last three years.
  3. 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.
  4. Check requirements: required subjects, physical requirements for some majors, single-subject score thresholds, language for foreign-language majors.
  5. 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.
  6. University or major: make the family decide on purpose which matters more, and order choices accordingly.
Show full SKILL.md (134 more words)Show less

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."

© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/cn-gaokao-planner of mohitagw15856/pm-claude-skills.

Open the folder on GitHubat commit 1cbf1f0

Compare with similar skills

Cn Gaokao Planner next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Baoyu URL To Markdownsdyckjq-lab/llm-wiki-skill2.5k2 repos~3.2kAutomated safety check: PassNone
DeepTutor CLIHKUDS/DeepTutor41k—~2.8kAutomated safety check: PassApache-2.0
Obsidian CLIAtmosphere/atmosphere3.8k13 repos~795Automated safety check: PassApache-2.0

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Questions about Cn Gaokao Planner

What does Cn Gaokao Planner do?

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…. Cn Gaokao Planner is an agent skill from mohitagw15856/pm-claude-skills. 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.

When should I use Cn Gaokao Planner?

Cn Gaokao Planner fits situations like: plan gaokao applications.

How do I install Cn Gaokao Planner in Claude Code?

Run `npx skills add mohitagw15856/pm-claude-skills --skill cn-gaokao-planner -a claude-code`. Or copy the skill folder (skills/cn-gaokao-planner in mohitagw15856/pm-claude-skills) into .claude/skills/cn-gaokao-planner in your project. Claude Code loads it when a task matches its description.

How do I install Cn Gaokao Planner in Codex?

Run `npx skills add mohitagw15856/pm-claude-skills --skill cn-gaokao-planner -a codex`. Or copy the skill folder (skills/cn-gaokao-planner in mohitagw15856/pm-claude-skills) into .agents/skills/cn-gaokao-planner in your project. Codex loads it when a task matches its description.

Can I use Cn Gaokao Planner in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mohitagw15856/pm-claude-skills --skill cn-gaokao-planner -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cn-gaokao-planner, .gemini/skills/cn-gaokao-planner, .github/skills/cn-gaokao-planner and .opencode/skills/cn-gaokao-planner in your project.

What does Cn Gaokao Planner need to run?

SKILL.md names no scripts, command-line tools or credentials: Cn Gaokao Planner is instructions for the agent only.

Does Cn Gaokao Planner access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Cn Gaokao Planner safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Cn Gaokao Planner use?

Cn Gaokao Planner is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Cn Gaokao Planner use?

About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Cn Gaokao Planner?

Skills that share tags, products or a category with Cn Gaokao Planner: Manim Video Production (browser-use/video-use, 29k stars), Logseq Review Workflow Eval (logseq/logseq, 45k stars), Baoyu URL To Markdown (sdyckjq-lab/llm-wiki-skill, 2.5k stars) and DeepTutor CLI (HKUDS/DeepTutor, 41k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cn Gaokao Planner?

mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.

Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.