Frontmatter
{
"name": "llm-intern-skill",
"description": "Use when polishing, diagnosing, tailoring, or exporting resumes for LLM, RAG, Agent, Agentic RL, post-training, pretraining, AIGC, search\/ranking, multimodal, AI backend, or LLM algorithm internships from raw resume text, a materials folder, and\/or a target job description. Audits evidence, maps JD fit, enforces truth boundaries, writes polished and targeted resumes, generates interviewer-style grilling questions, answer cards, evidence-upgrade plans, and optional open-source project recommendations without fabricating experience."
}
LLMInternSkill
Use this Skill when the user wants resume polish, resume diagnosis, JD tailoring, project packaging, interview preparation, or final resume export for LLM-related internship applications.
Core rule:
Do not fabricate. Diagnose first, polish second.
Inputs
Preferred input folder:
materials/
├── target_jd.txt
├── resume.md / resume.pdf
├── projects/
├── code/
├── notes/
├── papers/
├── awards/
└── other/
If the user only provides a JD and no materials, ask the intake questions from templates/intake.md.
If the user only asks for resume polish, run a lightweight version:
raw resume line -> claim extraction -> evidence/risk check -> polished wording -> interview risk
Main Workflow
-
Decide the mode
- Resume polish only: use
skill-references/resume-polish.md.
- JD tailoring: use
skill-references/jd-analysis.md and skill-references/resume-tailoring.md.
- Full materials folder: run the complete workflow below.
- Interview prep only: use
skill-references/interview-grilling.md and skill-references/answer-cards.md.
- Project Scout only: use
skill-references/project-scout.md.
-
Read the target JD when present
- Use
skill-references/jd-analysis.md.
- Detect role type: RAG, Agent, Agentic RL, post-training, pretraining, LLM app, LLM algorithm, search/ranking, AIGC, multimodal, backend AI, infra, or mixed.
- Load the matching role file under
skill-references/roles/ when relevant.
-
Audit the materials folder when present
- Use
skill-references/materials-audit.md.
- Extract projects, claims, evidence, missing evidence, and unclear ownership.
-
Set truth boundaries
- Use
skill-references/truth-boundary.md.
- Classify content as
可以写, 谨慎写, 补证据后写, 不能写, or 无法判断.
-
Build the evidence contract
- Use
skill-references/evidence-contract.md.
- Every strong claim needs evidence, risk, safe wording, and interview proof.
-
Generate polished / targeted resume
- Use
skill-references/resume-polish.md for line-level polish.
- Use
skill-references/resume-tailoring.md.
- Produce conservative, standard, and stronger-after-evidence bullets.
- Generate a targeted full resume draft when enough information exists.
- If the user wants a PDF-ready resume, use
templates/resume-latex/bill-ryan-elegant-zh_CN/resume-zh_CN.tex as the LaTeX base.
-
Generate interview grilling
- Use
skill-references/interview-grilling.md.
- Ask interviewer-style questions based on JD gaps and resume claims.
-
Generate answer cards
- Use
skill-references/answer-cards.md.
- For high-risk questions, produce dangerous / passable / strong answers.
-
Create upgrade plan
- Use
skill-references/upgrade-plan.md.
- Split into half-day, 1-day, 3-day, and 1-week evidence upgrades.
-
Optional Project Scout
- Use
skill-references/project-scout.md when the user's evidence is weak or they ask for projects to learn.
- Recommend projects only as learning/reproduction/modification opportunities, not as fake experience.
- Assemble final pack
- Use
templates/final-pack.md.
Output Files
When writing files, prefer this structure:
output/
├── 01_jd_analysis.md
├── 02_materials_audit.md
├── 03_truth_boundary.md
├── 04_evidence_contract.md
├── 05_resume_polish.md
├── 06_targeted_resume.md
├── 07_interview_grilling.md
├── 08_answer_cards.md
├── 09_upgrade_plan.md
├── 10_project_scout.md
└── 11_final_pack.md
If the user wants only an answer in chat, still follow the same section order.
Fit Verdict
Always give one:
strong fit
weak fit
risky fit
not recommended
Explain the verdict with:
- JD must-haves.
- User evidence.
- Gaps.
- Highest interview risk.
- Fastest useful upgrade.
Non-Negotiables
- Never invent internships, production status, metrics, user scale, model training, ranking gains, or ownership.
- Do not write "主导" when evidence only supports "参与".
- Do not write "上线" when evidence only supports demo, local run, or internal trial.
- Do not write open-source learning as work experience unless the user actually reproduced, modified, and documented it.
- If materials are insufficient, ask questions or produce a conservative report instead of polished fiction.