phd-copilot
Skill1 starsChanged 5 months agoMITView on GitHub
Orchestrate the end-to-end PhD application process and route to the right sub-skill. Use this as the front door whenever the user expresses a broad PhD-application intent without naming a specific step — e.g. "help me apply for PhDs", "be my PhD application copilot", "where am I with my applications and what should I do next?", "I want to start applying to PhD programs", or "what's the next thing I should work on?". Surveys the knowledge base to see what stage each opportunity is at, recommends the highest-value next action, and kicks off the matching skill. Trigger for orientation, planning, or whole-pipeline requests; defer to the specific skill when the user already names a concrete task (e.g. "write a cold email to Prof X" → outreach-email).
In this repository9 other files it gives its agents.
- application-materialsSkill
- application-trackerSkill
- interview-prepSkill
- opportunity-rankerSkill
- outreach-emailSkill
- position-discoverySkill
- professor-analyzerSkill
- professor-analyzerSkill
- research-proposalSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 34
Read across the knowledge base to build a picture:
- Distinctive: line 60
When the user's request implies a specific step ("write a cold email", "rank these"), don't re-survey everything — just route to that skill.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
PhD copilot (orchestrator)
This is the front door for someone who knows they want help with PhD applications but not which of the nine steps they need right now. Its value is orientation and momentum: look at where things actually stand, name the single most useful next move, and hand off to the skill that does it. It coordinates; it doesn't duplicate the specialized skills' work.
The pipeline it coordinates
position-discovery → professor-analyzer → opportunity-ranker → outreach-email
→ research-proposal / application-materials → application-tracker → interview-prepEach step reads and writes the shared knowledge base, so progress is visible as files. The copilot's job is to read that state and figure out what's missing or what's next.
Step 1 — Survey the state
Read across the knowledge base to build a picture:
profile/profile.mdandprofile/cv-master.md— is the applicant's own profile filled in enough to drive everything else? If it's empty, that's almost always the first action.openings/— are there discovered opportunities?openings/_ranking.md— has anything been prioritized?professors/— which targets have been analyzed?applications/*/status.md— what stage is each application at?interactions/— any outreach sent, any follow-ups due?
Step 2 — Diagnose the next best action
Map the state to the pipeline and pick the highest-leverage next step. Heuristics:
- Empty profile → set up
profile/profile.mdandcv-master.mdfirst; everything downstream depends on it. - Profile but no openings/targets → run position-discovery (or analyze a professor the user already has in mind with professor-analyzer).
- Several analyzed targets, nothing prioritized → run opportunity-ranker.
- A ranked shortlist, no outreach → draft outreach for the top targets with outreach-email.
- Outreach sent / deadlines approaching → run application-tracker to surface what's due, missing, or overdue.
- An active application needing documents → application-materials / research-proposal.
- An interview scheduled → interview-prep.
When the user's request implies a specific step ("write a cold email", "rank these"), don't re-survey everything — just route to that skill. The copilot is for ambiguity and planning, not a tollgate on every action.
Step 3 — Recommend and hand off
Give the user a brief, honest status overview and a clear recommended next action (usually one, at most a few in priority order), then invoke the matching skill — keeping the applicant in control of anything that gets sent or submitted. If several things are genuinely parallel (e.g. analyze three professors), say so and offer to proceed.
For a recurring rhythm — a weekly "here's where you are and what's due" check — offer to set up a scheduled task that runs the survey and surfaces the week's actions. This turns the copilot into an ongoing assistant rather than a one-off.
Guardrails
Respect shared/references/ethics.md across everything it coordinates: draft-never-send,
ground in real material, favor focused effort over mass applications. The copilot should make
the process feel manageable and honest — surfacing real next steps and real status, never
manufacturing false progress or urgency. When the knowledge base is too empty to advise well,
the right move is to help the applicant set up their profile, not to guess.
Does it work?
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

