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Agent skill

Professor Match

by xujingchen1996 in xujingchen1996/research-app-toolkit

A skill your agent uses when the user asks to find supervisors, match professors, search for supervisors, or identify professors for a PhD or other research degree.

MITAuto-check passed

Install Professor Match

skills CLI
$ npx skills add xujingchen1996/research-app-toolkit --skill professor-match -a claude-code

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

GitHub CLI
$ gh skill install xujingchen1996/research-app-toolkit professor-match --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/professor-match .claude/skills/professor-match && 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
professor-match
GitHub stars
134
Token cost
~928 tokens
SKILL.md length
452 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 to find supervisors, match professors, search for supervisors, or identify professors for a PhD or other research degree.

  • Works in 3 steps: Use web search to find potential… → Extract the following for each professor → Evaluate fit together with the profile…
  • The user asks to find supervisors
  • SKILL.md covers Preconditions, Language Rules, Optional Linkage: Life Science… and Fill In the Search Conditions…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Professor Match is an agent skill from xujingchen1996/research-app-toolkit. Use when the user asks to find supervisors, match professors, search for supervisors, or identify professors for a PhD or other research degree. Based on the shared application profile and user preferences, identify potential supervisors, evaluate research fit, and recommend priorities.

Its SKILL.md is about 930 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 to find supervisors
  • Match professors
  • Search for supervisors
  • Identify professors for a PhD

Example prompts

  • “/professor-match”

Workflow steps

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

  1. Use web search to find potential professors
  2. Extract the following for each professor
  3. Evaluate fit together with the profile in memory.md

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

Professor Match loads about 928 tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 452 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~928

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). 452 words, ~928 tokens.

Download SKILL.mdSave it as .claude/skills/professor-match/SKILL.md (or your agent's skills folder).
name
professor-match
description
Use when the user asks to find supervisors, match professors, search for supervisors, or identify professors for a PhD or other research degree. Based on the shared application profile and user preferences, identify potential supervisors, evaluate research fit, and recommend priorities.

Professor Matching

Preconditions

  • Read ../../memory.md first.
  • If there is not yet a CV profile, prioritize suggesting that the user run cv-analyze first, because matching judgments depend on the user's background.

Language Rules

  • Support three output modes: zh, en, and bilingual.
  • If the user explicitly specifies a language, prioritize the current request.
  • Otherwise read preferred_language from memory.md.
  • If it is still unclear, follow the user's current conversation language.
  • Original English proper nouns from professor homepages, school programs, and similar search materials may be retained, but explanatory text should follow the selected output language.

Optional Linkage: Life Science Research

  • If the user's application direction clearly falls under life sciences / biomedical research, such as genetics, functional genomics, immunology, neuroscience, cancer biology, cell biology, or translational medicine, and the current task needs research-direction grounding, then link life-science-research.
  • This is suitable for linkage in scenarios such as:
    • needing to first clarify target / gene / disease / pathway background
    • needing to judge professor fit based on public literature, datasets, or recent research trajectories
    • needing to start from the research-problem space rather than only searching professors by keywords
  • The linkage result should be used primarily to:
    • narrow research keywords
    • judge the natural bridge between the professor's recent work and the user's background
    • identify more specific research-fit narratives
  • If the user only wants routine professor search by school / country / project name, or only wants ranking updates, do not trigger that linkage.

Fill In the Search Conditions First

If the user's request is not specific enough, fill in at least the following information:

  • research direction or keywords
  • target country / region / school scope
  • degree type and enrollment time
  • special constraints, such as "must be recently recruiting students", "prefer industry collaboration", or "want full funding"
Show full SKILL.md (170 more words)Show less

Search and Judgment

  1. Use web search to find potential professors:
    • prioritize faculty pages, lab pages, and department pages
    • then review representative papers and public projects from the last 2 to 3 years
  2. Extract the following for each professor:
    • school, department, and position
    • research direction
    • recent focus work
    • whether there is a public recruitment signal
  3. Evaluate fit together with the profile in memory.md:
    • whether the user's existing experience can naturally connect to the professor's research
    • whether the technical stack is relevant
    • what abilities or argument points still need to be supplemented

Output Format

  • First provide a concise comparison table:
    • professor
    • school
    • direction
    • fit level
    • key reason
  • Then provide detailed entries, and each professor should include at least:
    • research summary
    • 1 to 3 recent representative works
    • reasons for the fit
    • outreach suggestions

Constraints

  • For information such as recruitment, research direction, and school programs, prioritize current web search results.
  • If "whether they are recruiting" cannot be confirmed, it must be written clearly as "no public confirmation found"; do not guess.

© 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/professor-match of xujingchen1996/research-app-toolkit.

Open the folder on GitHubat commit d84dbc0

Compare with similar skills

Professor Match 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.

Professor Match compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Professor Match this skillxujingchen1996/research-app-toolkit134—~928Automated safety check: PassMIT
Manim Video Productionbrowser-use/video-use29k6 repos~3kAutomated safety check: PassMIT
Logseq Review Workflow Evallogseq/logseq45k—~1kAutomated safety check: PassAGPL-3.0
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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  • Cv Analyze

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  • Cv Polish

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Questions about Professor Match

What does Professor Match do?

A skill your agent uses when the user asks to find supervisors, match professors, search for supervisors, or identify professors for a PhD or other research degree. Professor Match is an agent skill from xujingchen1996/research-app-toolkit. Use when the user asks to find supervisors, match professors, search for supervisors, or identify professors for a PhD or other research degree.

When should I use Professor Match?

Professor Match fits situations like: the user asks to find supervisors; match professors; search for supervisors; identify professors for a PhD.

How do I install Professor Match in Claude Code?

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

How do I install Professor Match in Codex?

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

Can I use Professor Match 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 professor-match -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/professor-match, .gemini/skills/professor-match, .github/skills/professor-match and .opencode/skills/professor-match in your project.

What does Professor Match need to run?

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

Does Professor Match 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 Professor Match 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 Professor Match use?

Professor Match 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 Professor Match use?

About 928 tokens (SKILL.md is roughly 3.7k 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 Professor Match?

Skills that share tags, products or a category with Professor Match: 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 Professor Match?

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.