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Agent skill

Improve Prompt

by team-attention in team-attention/stanford-cs146s-kr

나노바나나 프롬프트의 정확성을 한글 번역본과 비교하여 검증하고, WebSearch로 팩트체크한 후 이슈별로 사용자 확인을 거쳐 수정합니다.

No licenceAuto-check passedAI & LLM Engineering

Install Improve Prompt

skills CLI
$ npx skills add team-attention/stanford-cs146s-kr --skill improve-prompt -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install team-attention/stanford-cs146s-kr improve-prompt --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/team-attention/stanford-cs146s-kr.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/improve-prompt .claude/skills/improve-prompt && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
improve-prompt
GitHub stars
294
Token cost
~2.2k tokens
SKILL.md length
343 words
Files
1
Skills in repo
14
Repo updated
First seen
Licence
None found

At a glance

나노바나나 프롬프트의 정확성을 한글 번역본과 비교하여 검증하고, WebSearch로 팩트체크한 후 이슈별로 사용자 확인을 거쳐 수정합니다.

  • Works in 10 steps: 경로 파싱 및 파일 경로 결정 → 파일 로드 → prompt-evaluator 에이전트 호출 → …
  • Tasks that involve Natural language processing
  • SKILL.md covers 사용법, 검증 기준, 입출력 and 워크플로우, plus 10 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Improve Prompt is an agent skill from team-attention/stanford-cs146s-kr. 나노바나나 프롬프트의 정확성을 한글 번역본과 비교하여 검증하고, WebSearch로 팩트체크한 후 이슈별로 사용자 확인을 거쳐 수정합니다. 사용: /improve-prompt week1/deep-dive-llms/tokenization

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering Natural language processing. The repository describes itself as: Stanford CS146S: The Modern Software Developer - Korean Edition.

When your agent uses it

  • Tasks that involve Natural language processing

Example prompts

  • “/improve-prompt”

Workflow steps

10 steps, taken from the step headings in SKILL.md.

  1. 경로 파싱 및 파일 경로 결정
  2. 파일 로드
  3. prompt-evaluator 에이전트 호출
  4. fact-checker 에이전트 호출 (--skip-factcheck가 아닌 경우)
  5. 리포트 저장
  6. 이슈별 사용자 컨펌 (--skip-apply가 아닌 경우)
  7. 승인된 수정사항 적용
  8. (선택) 재검증 (--verify 옵션인 경우)
  9. 결과 요약 출력
  10. 챕터 목록 수집

What it can do on your machine

Read from SKILL.md and the folder at commit a13c516. 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 (its code samples are bash).

    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

Improve Prompt loads about 2.2k tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 343 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~37
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k

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

Auto-check passed

The automated check found no risky patterns in SKILL.md.

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 343 words (~2,157 tokens).

name
improve-prompt

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .claude/skills/improve-prompt of team-attention/stanford-cs146s-kr.

Open the folder on GitHubat commit a13c516

Compare with similar skills

Improve Prompt next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Improve Prompt compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Improve Prompt this skillteam-attention/stanford-cs146s-kr294—~2.2kAutomated safety check: PassNone
Hugging Face TokenizersOrchestra-Research/AI-Research-SKILLs13k6 repos~3.4kAutomated safety check: PassMIT
OpenMed Model Card Writermaziyarpanahi/openmed5.5k—~1.8kAutomated safety check: PassApache-2.0
Gptqmodel Tokenizer NormalizationModelCloud/GPTQModel1.3k—~1.1kAutomated safety check: PassCustom licence
Andrej KarpathyK-Dense-AI/mimeo282—~1.9kAutomated safety check: PassMIT
Comparetaishi-i/awesome-japanese-nlp-resources1k—~4.1kAutomated safety check: NotesCC0-1.0

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Categories

Questions about Improve Prompt

What does Improve Prompt do?

나노바나나 프롬프트의 정확성을 한글 번역본과 비교하여 검증하고, WebSearch로 팩트체크한 후 이슈별로 사용자 확인을 거쳐 수정합니다. Improve Prompt is an agent skill from team-attention/stanford-cs146s-kr. 나노바나나 프롬프트의 정확성을 한글 번역본과 비교하여 검증하고, WebSearch로 팩트체크한 후 이슈별로 사용자 확인을 거쳐 수정합니다.

When should I use Improve Prompt?

Improve Prompt fits situations like: tasks that involve Natural language processing.

How do I install Improve Prompt in Claude Code?

Run `npx skills add team-attention/stanford-cs146s-kr --skill improve-prompt -a claude-code`. Or copy the skill folder (.claude/skills/improve-prompt in team-attention/stanford-cs146s-kr) into .claude/skills/improve-prompt in your project. Claude Code loads it when a task matches its description.

How do I install Improve Prompt in Codex?

Run `npx skills add team-attention/stanford-cs146s-kr --skill improve-prompt -a codex`. Or copy the skill folder (.claude/skills/improve-prompt in team-attention/stanford-cs146s-kr) into .agents/skills/improve-prompt in your project. Codex loads it when a task matches its description.

Can I use Improve Prompt in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add team-attention/stanford-cs146s-kr --skill improve-prompt -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/improve-prompt, .gemini/skills/improve-prompt, .github/skills/improve-prompt and .opencode/skills/improve-prompt in your project.

What does Improve Prompt need to run?

SKILL.md names no scripts, command-line tools or credentials: Improve Prompt is instructions for the agent only.

Does Improve Prompt access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Improve Prompt safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Improve Prompt use?

No licence was found for Improve Prompt or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Improve Prompt use?

About 2.2k tokens (SKILL.md is roughly 8.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Improve Prompt?

Skills that share tags, products or a category with Improve Prompt: Hugging Face Tokenizers (Orchestra-Research/AI-Research-SKILLs, 13k stars), OpenMed Model Card Writer (maziyarpanahi/openmed, 5.5k stars), Gptqmodel Tokenizer Normalization (ModelCloud/GPTQModel, 1.3k stars) and Andrej Karpathy (K-Dense-AI/mimeo, 282 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Improve Prompt?

team-attention (a GitHub organization) maintains it in team-attention/stanford-cs146s-kr, which has 294 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on March 4, 2026.

Source: team-attention/stanford-cs146s-kr on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.