Nz phd supervisor list
Skill pengqianhan/NZ-life-skills/skills/nz-phd-supervisor-list
Build and maintain a source-grounded shortlist of New Zealand PhD supervisors, combining official university profile details, research-fit signals, supervision accreditation where available, and clearly labelled student-submitted mentoring anecdotes. Use when Codex needs to collect, compare, update, or answer questions about potential doctoral supervisors in New Zealand while avoiding unsupported reputational claims.From its SKILL.md
npx -y skills add pengqianhan/NZ-life-skills --skill nz-phd-supervisor-listAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
3.4 KB, 542 tokens by cl100k_base, as published. Nobody here has run it
NZ PhD Supervisor List
Overview
Use this skill to collect and maintain a careful New Zealand PhD supervisor shortlist. Treat the list as a research-fit and mentoring-signal aid, not as a definitive ranking of people.
Workflow
- Clarify the user's research direction, target discipline, stage, and constraints such as city, university, funding, visa timeline, or preferred supervision style.
- Read references/current-guidance.md.
- Read references/supervisors.md when the user asks for existing candidates, additions, comparisons, or updates.
- Separate:
- official public facts
- research-fit interpretation
- student-submitted anecdotes
- unknowns that require checking
- Verify current official profile pages before giving current titles, contact details, supervision availability, recruitment status, or doctoral accreditation.
- When adding a supervisor, update references/supervisors.md using the existing entry schema.
Scope
- collect public profile information, research areas, affiliation, contact URLs, and supervision eligibility signals
- record positive mentoring signals from student reports as labelled anecdotes, not verified facts
- compare supervisors only with explicit criteria such as research fit, supervision availability, responsiveness evidence, and funding context
- avoid defamatory claims, private personal details, or unsupported rankings
Source Order
- official university profile pages and university doctoral-supervision pages
- official research group, lab, institute, ORCID, and institutional publication pages
- student-submitted anecdotes only as labelled qualitative leads that require corroboration
Answering Rules
- Do not describe someone as an "excellent supervisor" as an objective fact unless the wording is explicitly framed as a shortlist label or user-maintained criterion.
- Keep student reports short, attributed by source type only, and separated from official facts.
- Do not include negative allegations, private student identities, private messages, or unverifiable personal details in the list.
- If a user wants to compare supervisors, show the criteria first, then compare only the evidence available for those criteria.
- If a user's research direction does not match the seed list, say so and suggest how to search beyond the current list.
- Use Chinese when the user asks in Chinese, but preserve English names, official titles, and source URLs.
References
- Read references/current-guidance.md before answering.
- Read references/supervisors.md for the maintained supervisor list.
What ships with it: 3 files
7.1 KB alongside SKILL.md
agents/
- openai.yaml245 B
references/
- current-guidance.md1.9 KB
- supervisors.md5.0 KB
Gives 0 of the 12 instructions most education skills give in 542 tokens
Counted across 169 of the 171 authors here whose files we hold, read 2026-08-07
- Search for existing resources before creating new onesin 7 of 169, across 3 files
- Check tool responses for errors before proceedingin 7 of 169, across 3 files
- Reduce request frequency on rate limit errorsin 7 of 169, across 3 files
- Confirm connection status is ACTIVE before running workflowsin 7 of 169, across 3 files
- Execute prerequisite steps first in workflowsin 7 of 169, across 3 files
- Handle pagination by fetching until exhaustedin 7 of 169, across 3 files
- Re-authenticate if the connection expiredin 6 of 169, across 2 files
- Always call RUBE_SEARCH_TOOLS first to get schemasin 6 of 169, across 2 files
- Pass strictly schema-compliant tool argumentsin 6 of 169, across 2 files
- Run the skill generator if the shared file is missingin 6 of 169, across 3 files
- Create the coursein 5 of 169, across 3 files
- List enrolled studentsin 5 of 169, across 3 files
Said here and by no other author read
- clarify user research direction and constraints
- read current guidance before answering
- read supervisor list for candidate requests
- separate official facts from anecdotes
- verify current official profile pages
- update supervisor list using existing schema
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.