LLM Intern Skill

What it does

When your agent uses it

• Exporting resumes for LLM
• LLM algorithm internships from raw resume text
• A materials folder
• And/or a target job description

Example prompts

• “/llm-intern-skill”

Workflow steps

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

1. 1Decide the mode
2. 2Read the target JD when present
3. 3Audit the materials folder when present
4. 4Set truth boundaries
5. 5Build the evidence contract
6. 6Generate polished / targeted resume
7. 7Generate interview grilling
8. 8Generate answer cards
9. 9Create upgrade plan
10. 10Optional Project Scout
11. 11Assemble final pack

What it can do on your machine

Read from SKILL.md and the folder at commit e57ec94. 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

LLM Intern Skill loads about 1.2k tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 138 tokens; SKILL.md has 421 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~138

When it runs · the whole SKILL.md, loaded when a task matches

~1.2k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~1.4k

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

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 wanyichen06/LLMInternSkill at commit e57ec94, republished under its MIT licence (© wanyichen06). 421 words, ~1,236 tokens.

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.

Do not fabricate. Diagnose first, polish second.

materials/
├── target_jd.txt
├── resume.md / resume.pdf
├── projects/
├── code/
├── notes/
├── papers/
├── awards/
└── other/

raw resume line -> claim extraction -> evidence/risk check -> polished wording -> interview risk

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

strong fit
weak fit
risky fit
not recommended

© wanyichen06, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 135 other files (references) in the repository root of wanyichen06/LLMInternSkill.

• SKILL.md
• .gitattributes
• .gitignore
• LICENSE
• README.md
• README_EN.md
• agents/openai.yaml
• docs/e1b5c6a672b04d5a9f8a3c7e2d1a0b49.txt
• docs/frontier-training-jd-notes.md
• docs/index.html
• docs/robots.txt
• docs/sitemap.xml
• evals/manual-eval-suite.md
• examples/agent-rag-input.md
• examples/agent-rag-output.md
• examples/doubao-seed-final-pack.md
• examples/doubao-seed-materials-input.md
• … and 119 more

Open the folder on GitHubat commit e57ec94