Chroma Vector Database
Orchestra-Research/AI-Research-SKILLs
Shows how to store documents and embeddings in Chroma, query them by similarity with metadata filters, and persist them to disk for RAG and semantic search projects.
A skill your agent uses when the user asks to create, refine, or optimize a prompt ('프롬프트 만들어/생성해/다듬어') — AI 프롬프트 생성기.
Install Prompt
$ npx skills add treylom/prompt-engineering-skills --skill prompt -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install treylom/prompt-engineering-skills prompt --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/treylom/prompt-engineering-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/prompt .claude/skills/prompt && 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" agent skill from https://github.com/treylom/prompt-engineering-skills/tree/master/skills/prompt into .claude/skills/prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt", 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/treylom/prompt-engineering-skills/tree/master/skills/promptType 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 treylom/prompt-engineering-skills --skill prompt -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install treylom/prompt-engineering-skills prompt --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/treylom/prompt-engineering-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/prompt .agents/skills/prompt && 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" agent skill from https://github.com/treylom/prompt-engineering-skills/tree/master/skills/prompt into .agents/skills/prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt", 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 treylom/prompt-engineering-skills --skill prompt -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install treylom/prompt-engineering-skills prompt --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/treylom/prompt-engineering-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/prompt .cursor/skills/prompt && 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" agent skill from https://github.com/treylom/prompt-engineering-skills/tree/master/skills/prompt into .cursor/skills/prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt", 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/treylom/prompt-engineering-skills.git --path skills/prompt--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 treylom/prompt-engineering-skills --skill prompt -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install treylom/prompt-engineering-skills prompt --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/treylom/prompt-engineering-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/prompt .gemini/skills/prompt && 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" agent skill from https://github.com/treylom/prompt-engineering-skills/tree/master/skills/prompt into .gemini/skills/prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt", 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 treylom/prompt-engineering-skills promptInstalls 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 treylom/prompt-engineering-skills --skill prompt -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/treylom/prompt-engineering-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/prompt .github/skills/prompt && 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" agent skill from https://github.com/treylom/prompt-engineering-skills/tree/master/skills/prompt into .github/skills/prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt", 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 treylom/prompt-engineering-skills --skill prompt -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install treylom/prompt-engineering-skills prompt --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/treylom/prompt-engineering-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/prompt .opencode/skills/prompt && 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" agent skill from https://github.com/treylom/prompt-engineering-skills/tree/master/skills/prompt into .opencode/skills/prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt", 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- GitHub stars
- 185
- Token cost
- ~637 tokens
- SKILL.md length
- 331 words
- Files
- 2 (incl. references)
- Skills in repo
- 10
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
A skill your agent uses when the user asks to create, refine, or optimize a prompt ('프롬프트 만들어/생성해/다듬어') — AI 프롬프트 생성기.
- Works in 4 steps: 플러그인 내부… → 이 경로에서는 플러그인 밖의… → 최종 산출은 가이드 §0 계약을 따른다 —… → …
- The user asks to create
- SKILL.md covers Codex 이미지 목적 선행 게이트 and 🚨 산출 후 워크플로 — 이미지 경로 포함 전 목적…
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Prompt is an agent skill from treylom/prompt-engineering-skills. Use when the user asks to create, refine, or optimize a prompt ('프롬프트 만들어/생성해/다듬어') — AI 프롬프트 생성기. 사용자의 아이디어를 모델별(Claude/GPT/Gemini/이미지) 최적화 프롬프트로 변환. Codex 포트 — Claude Code의 /prompt 명령과 동일 절차.
Its SKILL.md is about 640 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/prompt-command.md`).
It sits in AI & LLM Engineering. It works with OpenAI. The repository describes itself as: Comprehensive AI prompt engineering skills for Claude Code, ChatGPT (GPTs & Codex CLI plugin), and Gemini Gems. Model-specific patterns for Claude Opus 5.5 / Fable 5.1 (Opus 5 /…
When your agent uses it
- The user asks to create
- Optimize a prompt (프롬프트 만들어/생성해/다듬어) — AI 프롬프트 생성기
Example prompts
- “/prompt”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 플러그인 내부 ../image-prompt-guide/references/full.md를 처음부터 끝까지 읽는다. 파일이 있다는 사실이나 이 문서의 요약만으로 대체하지 않는다.
- 이 경로에서는 플러그인 밖의 image-prompt·gongnyang-photo 스킬을 호출하지 않는다. 내부 가이드만 기준 파일로 사용한다. (공냥 킷 원문은 플러그인 내부 ../image-prompt-kit/에 동봉 — 가이드 §K5 라우팅…
- 최종 산출은 가이드 §0 계약을 따른다 — gpt-image-2/Codex $imagegen 대상 = 공냥 킷 텍스트 프롬프트(포맷 A 라벨 6섹션 또는 포맷 B 화보 콤마형, 끝에 AR x:y 토큰만 · 배치 = jsonl 레코드)…
- 출력 직전 자가검사 — 킷 경로: ①포맷 A/B 구조 ②철칙 위반 0(네거티브 전면 긍정형·SD어휘 0·끝 AR) ③렌더 텍스트 시 Tier-1 결합 공식 1회 ④타겟: <모델> 1줄이 프롬프트 위에 있는가(🏛️ 대원칙 §2 — 모델 자동 탐지…
What it can do on your machine
Read from SKILL.md and the folder at commit 4dacb68. 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
Prompt loads about 637 tokens when it runs, and up to ~34k if it reads all its reference files. Until then it costs about 50 tokens; SKILL.md has 331 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 331 words (~637 tokens).
“사용자 요청이 이미지·그림·사진·포스터·카드뉴스·인포그래픽·썸네일·이미지 편집 중 하나라면, 일반 절차보다 먼저 아래를 수행한다.”
- name
- prompt
Files
SKILL.md and 1 other file (references) in skills/prompt of treylom/prompt-engineering-skills.
- SKILL.md
- references/prompt-command.md
Open the folder on GitHubat commit 4dacb68
Compare with similar skills
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Prompt this skilltreylom/prompt-engineering-skills | 185 | — | ~637 | Automated safety check: Pass | Custom licence | |
| Chroma Vector DatabaseOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Codebase Managementgiancarloerra/SocratiCode | 3.3k | 1 repos | ~1.8k | Automated safety check: Pass | AGPL-3.0 | |
| CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Docs Plannerstrands-agents/harness-sdk | 8.7k | — | ~821 | Automated safety check: Pass | Apache-2.0 | |
| Codex Fable5baskduf/FableCodex | 437 | — | ~1.6k | Automated safety check: Pass | AGPL-3.0 |
Similar skills
Codebase Management
giancarloerra/SocratiCode
Set up, index, and manage SocratiCode codebase indexing. An agent skill from giancarloerra/SocratiCode.
CLIP Image-Text Matching
Orchestra-Research/AI-Research-SKILLs
Explains OpenAI's CLIP model for zero-shot image classification, image-text similarity, semantic image search and content moderation, with install steps and code patterns.
Docs Planner
strands-agents/harness-sdk
Identify documentation gaps and prioritize the docs backlog.
Codex Fable5
baskduf/FableCodex
Apply a Claude Fable 5 inspired operating style inside Codex.
Dingo Verify
MigoXLab/dingo
A skill your agent uses when the user wants to fact-check an article or verify factual claims in a document.
More from treylom/prompt-engineering-skills
All 10 skills in this repoPrompt Engineering Guide
treylom/prompt-engineering-skills
A skill your agent uses when generating research/factcheck/image/video/slide prompts that need base templates (IFCN·StructuredResearch 등) — 단일 통합 AI 프롬프트 엔지니어링 레퍼런스의 라우팅 인덱스.
Prompt Variation Guide
treylom/prompt-engineering-skills
A skill your agent uses when needing AI 프롬프트 변주 가이드. An agent skill from treylom/prompt-engineering-skills.
Image Prompt Guide
treylom/prompt-engineering-skills
A skill your agent uses when generating AI image prompts — 원본 = 공냥 프롬프트 킷 v4(gpt-image-2 텍스트 프롬프트 계약 — 포맷 A/B·철칙·jsonl·검증기, skills/image-prompt-kit/ vendor 원문).
Claude 4 7 Prompt Strategies
treylom/prompt-engineering-skills
A skill your agent uses when the user explicitly targets Claude Opus 4.7 or earlier (구세대 first-class 지원) — legacy Claude 프롬프트 전략 레퍼런스의 라우팅 인덱스.
Gpt 5 6 Prompt Enhancement
treylom/prompt-engineering-skills
A skill your agent uses when composing prompts targeting GPT-6 Sol (GPT 디폴트), GPT-6 Astra, GPT-6 Luna, GPT-5.6 Sol (직전 디폴트), legacy GPT-5.5/5.4/5.2 — lean outcome-first 7블록 규칙 + LEGACY 섹션(구 XML 스택)을…
Research Prompt Guide
treylom/prompt-engineering-skills
A skill your agent uses when composing factcheck or research prompts — IFCN 원칙 기반 검증 워크플로우와 일반 리서치 템플릿을 담은 레퍼런스의 라우팅 인덱스.
Related
Works with
Categories
Questions about Prompt
What does Prompt do?
A skill your agent uses when the user asks to create, refine, or optimize a prompt ('프롬프트 만들어/생성해/다듬어') — AI 프롬프트 생성기. Prompt is an agent skill from treylom/prompt-engineering-skills. Use when the user asks to create, refine, or optimize a prompt ('프롬프트 만들어/생성해/다듬어') — AI 프롬프트 생성기.
When should I use Prompt?
Prompt fits situations like: the user asks to create; optimize a prompt (프롬프트 만들어/생성해/다듬어) — AI 프롬프트 생성기.
How do I install Prompt in Claude Code?
Run `npx skills add treylom/prompt-engineering-skills --skill prompt -a claude-code`. Or copy the skill folder (skills/prompt in treylom/prompt-engineering-skills) into .claude/skills/prompt in your project. Claude Code loads it when a task matches its description.
How do I install Prompt in Codex?
Run `npx skills add treylom/prompt-engineering-skills --skill prompt -a codex`. Or copy the skill folder (skills/prompt in treylom/prompt-engineering-skills) into .agents/skills/prompt in your project. Codex loads it when a task matches its description.
Can I use 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 treylom/prompt-engineering-skills --skill 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/prompt, .gemini/skills/prompt, .github/skills/prompt and .opencode/skills/prompt in your project.
What does Prompt need to run?
SKILL.md names no scripts, command-line tools or credentials: Prompt is instructions for the agent only.
Does 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 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 Prompt use?
Prompt has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Prompt use?
About 637 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 33k tokens, read only when the agent opens those files.
What are the alternatives to Prompt?
Skills that share tags, products or a category with Prompt: Chroma Vector Database (Orchestra-Research/AI-Research-SKILLs, 13k stars), Codebase Management (giancarloerra/SocratiCode, 3.3k stars), CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Docs Planner (strands-agents/harness-sdk, 8.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Prompt?
treylom (a GitHub user) maintains it in treylom/prompt-engineering-skills, which has 185 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on September 26, 2026.
Source: treylom/prompt-engineering-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.