Prompt Improver
severity1/claude-code-prompt-improver
This skill enriches vague prompts with targeted research and clarification before execution.
Advanced prompt engineering techniques for optimal AI responses.
Install Prompt Engineering
$ npx skills add aiskillstore/marketplace --skill prompt-engineering -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiskillstore/marketplace prompt-engineering --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/doyajin174/prompt-engineering .claude/skills/prompt-engineering && rm -rf skills-srcUse ~/.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/
Install the "prompt-engineering" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/doyajin174/prompt-engineering into .claude/skills/prompt-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-engineering", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/aiskillstore/marketplace/tree/main/skills/doyajin174/prompt-engineeringType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add aiskillstore/marketplace --skill prompt-engineering -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiskillstore/marketplace prompt-engineering --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/doyajin174/prompt-engineering .agents/skills/prompt-engineering && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "prompt-engineering" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/doyajin174/prompt-engineering into .agents/skills/prompt-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-engineering", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aiskillstore/marketplace --skill prompt-engineering -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiskillstore/marketplace prompt-engineering --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/doyajin174/prompt-engineering .cursor/skills/prompt-engineering && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "prompt-engineering" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/doyajin174/prompt-engineering into .cursor/skills/prompt-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-engineering", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/aiskillstore/marketplace.git --path skills/doyajin174/prompt-engineering--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add aiskillstore/marketplace --skill prompt-engineering -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiskillstore/marketplace prompt-engineering --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/doyajin174/prompt-engineering .gemini/skills/prompt-engineering && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "prompt-engineering" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/doyajin174/prompt-engineering into .gemini/skills/prompt-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-engineering", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install aiskillstore/marketplace prompt-engineeringInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add aiskillstore/marketplace --skill prompt-engineering -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/doyajin174/prompt-engineering .github/skills/prompt-engineering && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "prompt-engineering" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/doyajin174/prompt-engineering into .github/skills/prompt-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-engineering", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aiskillstore/marketplace --skill prompt-engineering -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aiskillstore/marketplace prompt-engineering --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/doyajin174/prompt-engineering .opencode/skills/prompt-engineering && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "prompt-engineering" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/doyajin174/prompt-engineering into .opencode/skills/prompt-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-engineering", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
prompt-engineering- GitHub stars
- 430
- Used in
- 1 other repo
- Token cost
- ~654 tokens
- SKILL.md length
- 84 words
- Files
- 2
- Skills in repo
- 1,108
- Repo updated
- First seen
- Licence
- MIT
At a glance
Advanced prompt engineering techniques for optimal AI responses.
- Works in 3 steps: Clarity (명확성) → Context (맥락) → Specificity (구체성)
- Tasks that involve Prompt engineering
- SKILL.md covers Core Principles, Prompting Techniques, Prompt Structure and Anti-Patterns, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Prompt Engineering is an agent skill from aiskillstore/marketplace. Advanced prompt engineering techniques for optimal AI responses. Use this when crafting prompts, optimizing AI interactions, or designing system prompts for applications.
Its SKILL.md is about 650 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill-report.json`).
It sits in AI & LLM Engineering, covering Prompt engineering. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified. The licence is MIT.
When your agent uses it
- Tasks that involve Prompt engineering
Example prompts
- “/prompt-engineering”
Requirements
- Node.js
- Pre-approved tools (allowed-tools): Read, Glob, Grep, Edit, Write
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit ad8daf7. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadGlobGrepEditWrite
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 markdown).
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
Prompt Engineering loads about 654 tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 84 words of instructions outside code blocks.
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
The full file from aiskillstore/marketplace at commit ad8daf7, republished under its MIT licence (© aiskillstore). 84 words, ~654 tokens.
Download SKILL.mdSave it as
.claude/skills/prompt-engineering/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- prompt-engineering
- description
- Advanced prompt engineering techniques for optimal AI responses. Use this when crafting prompts, optimizing AI interactions, or designing system prompts for applications.
- allowed-tools
- Read, Glob, Grep, Edit, Write
- license
- MIT
- metadata.author
- NeoLabHQ
- metadata.version
- 1.0
Prompt Engineering
효과적인 프롬프트 작성을 위한 고급 기법 가이드입니다.
Core Principles
1. Clarity (명확성)
❌ "코드 좀 고쳐줘"
✅ "auth.js의 validateToken 함수에서 만료된 토큰 처리 시
발생하는 TypeError를 수정해주세요"2. Context (맥락)
❌ "이 에러 해결해줘: TypeError"
✅ "Node.js 18, Express 4 환경에서 JWT 검증 시
다음 에러 발생: TypeError: Cannot read property 'exp' of undefined
관련 코드: [코드 첨부]"3. Specificity (구체성)
❌ "좋은 API 만들어줘"
✅ "다음 요구사항의 REST API 설계:
- 리소스: 사용자, 게시물
- 인증: JWT Bearer
- 페이지네이션: cursor 기반
- 응답 형식: JSON:API 스펙"Prompting Techniques
Zero-Shot Prompting
직접 지시만으로 결과 도출
예: "다음 텍스트의 감정을 분석하세요: [텍스트]"Few-Shot Prompting
예시를 통한 패턴 학습
예시 1: 입력 → 출력
예시 2: 입력 → 출력
---
실제 입력 → ?Chain-of-Thought (CoT)
단계별 추론 유도
"단계별로 생각해보세요:
1. 먼저 문제를 분석합니다
2. 가능한 해결책을 나열합니다
3. 각 해결책의 장단점을 평가합니다
4. 최적의 해결책을 선택합니다"Role Prompting
특정 역할 부여
"당신은 10년 경력의 시니어 백엔드 개발자입니다.
코드 리뷰 관점에서 다음 코드를 평가해주세요..."Prompt Structure
기본 구조
## Role (역할)
[AI가 수행할 역할 정의]
## Context (맥락)
[배경 정보, 제약 조건]
## Task (작업)
[구체적인 요청 사항]
## Format (형식)
[원하는 출력 형식]
## Examples (예시) - 선택적
[입출력 예시]코드 관련 프롬프트
## 환경
- 언어/프레임워크: [명시]
- 버전: [명시]
- 관련 의존성: [명시]
## 현재 상태
[현재 코드 또는 상황]
## 목표
[달성하려는 결과]
## 제약 조건
- [제약 1]
- [제약 2]Anti-Patterns
피해야 할 패턴
| 안티패턴 | 문제점 | 개선 |
|---|---|---|
| 모호한 요청 | 해석의 여지가 많음 | 구체적 조건 명시 |
| 과도한 정보 | 핵심이 묻힘 | 관련 정보만 포함 |
| 부정형 지시 | "~하지 마세요" | "~해주세요" 로 변경 |
| 열린 결말 | 범위가 무한함 | 범위와 제약 명시 |
예시
❌ "이상한 코드 패턴 사용하지 마세요"
✅ "ESLint 규칙을 따르고, 함수는 20줄 이내로 작성해주세요"
❌ "좋은 성능으로 만들어주세요"
✅ "응답 시간 100ms 이내, 메모리 사용 512MB 이하로 최적화해주세요"System Prompt Design
구조
# Identity
[AI의 정체성과 목적]
# Capabilities
[할 수 있는 것]
# Constraints
[제한 사항]
# Response Format
[응답 형식 규칙]
# Examples
[대표적인 상호작용 예시]예시: 코드 리뷰 봇
# Identity
당신은 코드 품질 향상을 돕는 시니어 개발자입니다.
# Capabilities
- 코드 스타일 검토
- 버그 탐지
- 성능 개선 제안
- 보안 취약점 식별
# Constraints
- 개인적 스타일 강요 금지
- 프로젝트 컨벤션 우선
- 건설적 피드백만 제공
# Response Format
## 요약
[한 줄 요약]
## 주요 발견
- [이슈 1]: [설명] → [제안]
## 긍정적 측면
- [잘한 점]Iteration Strategies
1. 초기 프롬프트 작성
2. 결과 평가
3. 문제점 식별:
- 불완전한 응답 → 더 구체적인 지시 추가
- 잘못된 방향 → 제약 조건 강화
- 형식 불일치 → 예시 추가
4. 프롬프트 수정
5. 반복© aiskillstore, 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 1 other file in skills/doyajin174/prompt-engineering of aiskillstore/marketplace.
- SKILL.md
- skill-report.json
Open the folder on GitHubat commit ad8daf7
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in aiskillstore/marketplace, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Prompt Engineering 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Prompt Engineering this skillaiskillstore/marketplace | 430 | 1 repos | ~654 | Automated safety check: Pass | MIT | |
| Prompt Improverseverity1/claude-code-prompt-improver | 1.9k | 2 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Prompt Engineering Patternsynulihao/AgentSkillOS | 617 | 15 repos | ~1.7k | Automated safety check: Pass | None | |
| Patch CreationPiebald-AI/tweakcc | 2.5k | — | ~1.6k | Automated safety check: Pass | MIT | |
| LLM Application DevMoizIbnYousaf/ai-agent-skills | 1.1k | 2 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit | 260 | 4 repos | ~1.4k | Automated safety check: Pass | Custom licence |
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Senior Prompt Engineer
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Categories
Questions about Prompt Engineering
What does Prompt Engineering do?
Advanced prompt engineering techniques for optimal AI responses. Prompt Engineering is an agent skill from aiskillstore/marketplace. Advanced prompt engineering techniques for optimal AI responses.
When should I use Prompt Engineering?
Prompt Engineering fits situations like: tasks that involve Prompt engineering.
How do I install Prompt Engineering in Claude Code?
Run `npx skills add aiskillstore/marketplace --skill prompt-engineering -a claude-code`. Or copy the skill folder (skills/doyajin174/prompt-engineering in aiskillstore/marketplace) into .claude/skills/prompt-engineering in your project. Claude Code loads it when a task matches its description.
How do I install Prompt Engineering in Codex?
Run `npx skills add aiskillstore/marketplace --skill prompt-engineering -a codex`. Or copy the skill folder (skills/doyajin174/prompt-engineering in aiskillstore/marketplace) into .agents/skills/prompt-engineering in your project. Codex loads it when a task matches its description.
Can I use Prompt Engineering 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 aiskillstore/marketplace --skill prompt-engineering -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prompt-engineering, .gemini/skills/prompt-engineering, .github/skills/prompt-engineering and .opencode/skills/prompt-engineering in your project.
What does Prompt Engineering need to run?
SKILL.md names no scripts, command-line tools or credentials: Prompt Engineering is instructions for the agent only. Our summary lists: Node.js. Its frontmatter pre-approves these tools: Read, Glob, Grep, Edit, Write.
Does Prompt Engineering 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 Prompt Engineering 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 Prompt Engineering use?
Prompt Engineering is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Prompt Engineering use?
About 654 tokens (SKILL.md is roughly 2.6k 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 Prompt Engineering?
Skills that share tags, products or a category with Prompt Engineering: Prompt Improver (severity1/claude-code-prompt-improver, 1.9k stars), Prompt Engineering Patterns (ynulihao/AgentSkillOS, 617 stars), Patch Creation (Piebald-AI/tweakcc, 2.5k stars) and LLM Application Dev (MoizIbnYousaf/ai-agent-skills, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Prompt Engineering?
aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 430 GitHub stars. The repository holds 1,108 skills in this directory. The repository was last updated on October 7, 2026.
Source: aiskillstore/marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.