A skill your agent uses when the user asks for school recommendations, program selection, PhD program discovery, MRes program comparison, or university comparison.

MITAuto-check passed

Install School Select

skills CLI
$ npx skills add xujingchen1996/research-app-toolkit --skill school-select -a claude-code

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

GitHub CLI
$ gh skill install xujingchen1996/research-app-toolkit school-select --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/xujingchen1996/research-app-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/codex/skills/school-select .claude/skills/school-select && 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
school-select
GitHub stars
134
Token cost
~573 tokens
SKILL.md length
248 words
Files
1
Skills in repo
9
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the user asks for school recommendations, program selection, PhD program discovery, MRes program comparison, or university comparison.

  • Works in 3 steps: Prioritize checking official program… → If the user cares about rankings, then… → Combine the user's background in…
  • The user asks for school recommendations
  • SKILL.md covers Preconditions, Language Rules, Fill In the Decision Variables… and Search Strategy, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

School Select is an agent skill from xujingchen1996/research-app-toolkit. Use when the user asks for school recommendations, program selection, PhD program discovery, MRes program comparison, or university comparison. Based on the application profile, budget, region, and timeline, identify and compare research programs and return reach, match, and safety recommendations.

Its SKILL.md is about 570 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: Research Application Toolkit - Claude Code plugin for PhD, MRes, MPhil applications. The licence is MIT.

When your agent uses it

  • The user asks for school recommendations
  • Program selection
  • PhD program discovery
  • MRes program comparison

Example prompts

  • “/school-select”

Workflow steps

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

  1. Prioritize checking official program pages to confirm
  2. If the user cares about rankings, then additionally check the corresponding ranking source.
  3. Combine the user's background in memory.md to build three tiers

What it can do on your machine

Read from SKILL.md and the folder at commit d84dbc0. 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

School Select loads about 573 tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 248 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~78
When it runs · the whole SKILL.md, loaded when a task matches
~573

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 xujingchen1996/research-app-toolkit at commit d84dbc0, republished under its MIT licence (© xujingchen1996). 248 words, ~573 tokens.

Download SKILL.mdSave it as .claude/skills/school-select/SKILL.md (or your agent's skills folder).
name
school-select
description
Use when the user asks for school recommendations, program selection, PhD program discovery, MRes program comparison, or university comparison. Based on the application profile, budget, region, and timeline, identify and compare research programs and return reach, match, and safety recommendations.

School Selection Advice

Preconditions

  • Read ../../memory.md first.
  • If there is no application profile yet, prioritize suggesting CV analysis first, then do more credible school selection.

Language Rules

  • Support three output modes: zh, en, and bilingual.
  • If the user explicitly specifies the output language, prioritize the current request.
  • Otherwise read preferred_language from memory.md.
  • If it is still unclear, follow the user's current conversation language.
  • Proper nouns such as program names, department names, and official requirements may remain in the original language, but explanations and comparison conclusions should follow the selected language.

Fill In the Decision Variables First

If the user has not stated things clearly, fill in:

  • target country / region
  • degree type
  • budget / funding requirements
  • ranking preference
  • enrollment time or application cycle
  • research direction

Search Strategy

  1. Prioritize checking official program pages to confirm:
    • program name
    • admission requirements
    • funding / scholarship
    • deadline
  2. If the user cares about rankings, then additionally check the corresponding ranking source.
  3. Combine the user's background in memory.md to build three tiers:
    • Reach
    • Match
    • Safety

Output Requirements

  • First provide a comparison table:
    • school
    • program
    • tier
    • deadline
    • funding
    • fit score
  • Then provide detailed notes for each program:
    • location
    • key requirements
    • fit judgment against the user's background
    • faculty directions worth contacting

Constraints

  • Application deadlines must be expressed as concrete dates; avoid vague expressions such as "this winter".
  • If school requirements or funding information cannot be found, clearly write "to be verified".
  • This is a high-cost decision category of advice, so prioritize current search results rather than memory.

© xujingchen1996, 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 codex/skills/school-select of xujingchen1996/research-app-toolkit.

Open the folder on GitHubat commit d84dbc0

Compare with similar skills

School Select 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.

School Select compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
School Select this skillxujingchen1996/research-app-toolkit134—~573Automated safety check: PassMIT
Select Namethedaviddias/Front-End-Checklist74k—~451Automated safety check: PassMIT
Engine Selectionsickn33/agentic-awesome-skills47k1 repos~1.2kAutomated safety check: PassMIT
Strict Programming Practicescode-yeongyu/oh-my-openagent70k—~9.5kAutomated safety check: PassCustom licence
Recommendagenticnotetaking/arscontexta3.5k1 repos~5.1kAutomated safety check: PassMIT
Referral Programalirezarezvani/claude-skills28k—~3.4kAutomated safety check: PassMIT

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Questions about School Select

What does School Select do?

A skill your agent uses when the user asks for school recommendations, program selection, PhD program discovery, MRes program comparison, or university comparison. School Select is an agent skill from xujingchen1996/research-app-toolkit. Use when the user asks for school recommendations, program selection, PhD program discovery, MRes program comparison, or university comparison.

When should I use School Select?

School Select fits situations like: the user asks for school recommendations; program selection; phD program discovery; MRes program comparison.

How do I install School Select in Claude Code?

Run `npx skills add xujingchen1996/research-app-toolkit --skill school-select -a claude-code`. Or copy the skill folder (codex/skills/school-select in xujingchen1996/research-app-toolkit) into .claude/skills/school-select in your project. Claude Code loads it when a task matches its description.

How do I install School Select in Codex?

Run `npx skills add xujingchen1996/research-app-toolkit --skill school-select -a codex`. Or copy the skill folder (codex/skills/school-select in xujingchen1996/research-app-toolkit) into .agents/skills/school-select in your project. Codex loads it when a task matches its description.

Can I use School Select 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 xujingchen1996/research-app-toolkit --skill school-select -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/school-select, .gemini/skills/school-select, .github/skills/school-select and .opencode/skills/school-select in your project.

What does School Select need to run?

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

Does School Select 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 School Select 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 School Select use?

School Select 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 School Select use?

About 573 tokens (SKILL.md is roughly 2.3k 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 School Select?

Skills that share tags, products or a category with School Select: Select Name (thedaviddias/Front-End-Checklist, 74k stars), Engine Selection (sickn33/agentic-awesome-skills, 47k stars), Strict Programming Practices (code-yeongyu/oh-my-openagent, 70k stars) and Recommend (agenticnotetaking/arscontexta, 3.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains School Select?

xujingchen1996 (a GitHub user) maintains it in xujingchen1996/research-app-toolkit, which has 134 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on July 18, 2026.

Source: xujingchen1996/research-app-toolkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.