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:
textDo not fabricate. Diagnose first, polish second.
Inputs
Preferred input folder:
textmaterials/ ├── 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:
textraw resume line -> claim extraction -> evidence/risk check -> polished wording -> interview risk
Main Workflow
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Decide the mode
- Resume polish only: use
skill-references/resume-polish.md. - JD tailoring: use
skill-references/jd-analysis.mdandskill-references/resume-tailoring.md. - Full materials folder: run the complete workflow below.
- Interview prep only: use
skill-references/interview-grilling.mdandskill-references/answer-cards.md. - Project Scout only: use
skill-references/project-scout.md.
- Resume polish only: use
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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.
- Use
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Audit the materials folder when present
- Use
skill-references/materials-audit.md. - Extract projects, claims, evidence, missing evidence, and unclear ownership.
- Use
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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.
- Use
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Build the evidence contract
- Use
skill-references/evidence-contract.md. - Every strong claim needs evidence, risk, safe wording, and interview proof.
- Use
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Generate polished / targeted resume
- Use
skill-references/resume-polish.mdfor 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.texas the LaTeX base.
- Use
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Generate interview grilling
- Use
skill-references/interview-grilling.md. - Ask interviewer-style questions based on JD gaps and resume claims.
- Use
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Generate answer cards
- Use
skill-references/answer-cards.md. - For high-risk questions, produce dangerous / passable / strong answers.
- Use
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Create upgrade plan
- Use
skill-references/upgrade-plan.md. - Split into half-day, 1-day, 3-day, and 1-week evidence upgrades.
- Use
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Optional Project Scout
- Use
skill-references/project-scout.mdwhen 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:
textoutput/ ├── 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:
textstrong 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.


