Agent skill

Prompt Variation Guide

by treylom in treylom/prompt-engineering-skills

A skill your agent uses when needing AI 프롬프트 변주 가이드. An agent skill from treylom/prompt-engineering-skills.

Custom licenceAuto-check passedAI & LLM Engineering

Install Prompt Variation Guide

skills CLI
$ npx skills add treylom/prompt-engineering-skills --skill prompt-variation-guide -a claude-code

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

GitHub CLI
$ gh skill install treylom/prompt-engineering-skills prompt-variation-guide --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/treylom/prompt-engineering-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/prompt-variation-guide .claude/skills/prompt-variation-guide && 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
prompt-variation-guide
GitHub stars
185
Token cost
~834 tokens
SKILL.md length
335 words
Files
3 (incl. references)
Skills in repo
10
Repo updated
First seen
Licence
Custom licence

At a glance

A skill your agent uses when needing AI 프롬프트 변주 가이드. An agent skill from treylom/prompt-engineering-skills.

  • Works in 3 steps: 모델별 차별화: GPT/Claude/Gemini/Perplexity… → 작업 유형 기반: 직업과 무관하게 4가지… → 직업 적응성: 교사/변호사/자영업자 예시를 모든 직업군으로 변환 가능
  • Needing AI 프롬프트 변주 가이드
  • SKILL.md covers Part 1: Universal Framework, Part 3.3: Model Personality…, Part 4: Quality Validation and 요약
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Prompt Variation Guide is an agent skill from treylom/prompt-engineering-skills. Use when needing AI 프롬프트 변주 가이드. 다양한 프롬프팅 테크닉과 변형 전략 레퍼런스.

Its SKILL.md is about 830 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/examples.md` and `references/techniques.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

  • Needing AI 프롬프트 변주 가이드

Example prompts

  • “/prompt-variation-guide”

Workflow steps

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

  1. 모델별 차별화: GPT/Claude/Gemini/Perplexity 각자의 구조적 특성 반영
  2. 작업 유형 기반: 직업과 무관하게 4가지 유형(코딩/글쓰기/분석/데이터)으로 분류
  3. 직업 적응성: 교사/변호사/자영업자 예시를 모든 직업군으로 변환 가능

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 Variation Guide loads about 834 tokens when it runs, and up to ~8k if it reads all its reference files. Until then it costs about 20 tokens; SKILL.md has 335 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~20
When it runs · the whole SKILL.md, loaded when a task matches
~834
With references · SKILL.md plus every file in references/, read only if the agent opens them
~8k

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 335 words (~834 tokens).

“이 가이드의 목표: 동일한 작업이라도 모델별/작업유형별/난이도별로 구조와 표현이 명확히 다른 프롬프트를 생성하는 방법 제공”

— opening of SKILL.md by treylom, Custom licence
name
prompt-variation-guide
disable-model-invocation
true

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (references) in skills/prompt-variation-guide of treylom/prompt-engineering-skills.

  • SKILL.md
  • references/examples.md
  • references/techniques.md

Open the folder on GitHubat commit 4dacb68

Compare with similar skills

Prompt Variation Guide 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.

Prompt Variation Guide compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Prompt Variation Guide this skilltreylom/prompt-engineering-skills185—~834Automated safety check: PassCustom licence
Chroma Vector DatabaseOrchestra-Research/AI-Research-SKILLs13k7 repos~2.3kAutomated safety check: PassMIT
Codebase Managementgiancarloerra/SocratiCode3.3k1 repos~1.8kAutomated safety check: PassAGPL-3.0
CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs13k7 repos~1.7kAutomated safety check: PassMIT
Docs Plannerstrands-agents/harness-sdk8.7k—~821Automated safety check: PassApache-2.0
Codex Fable5baskduf/FableCodex437—~1.6kAutomated safety check: PassAGPL-3.0

Similar skills

  • 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.

    13k GitHub starsUsed in 7 repos~2.3k tokens
    AI & LLM EngineeringAuto-check passed
  • Codebase Management

    giancarloerra/SocratiCode

    Set up, index, and manage SocratiCode codebase indexing. An agent skill from giancarloerra/SocratiCode.

    3.3k GitHub starsUsed in 1 repo~1.8k tokens
    AI & LLM EngineeringAuto-check passed
  • 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.

    13k GitHub starsUsed in 7 repos~1.7k tokens
    AI & LLM EngineeringAuto-check passed
  • Docs Planner

    strands-agents/harness-sdk

    Identify documentation gaps and prioritize the docs backlog.

    8.7k GitHub stars~821 tokensUpdated today
    AI & LLM EngineeringAuto-check passed
  • Codex Fable5

    baskduf/FableCodex

    Apply a Claude Fable 5 inspired operating style inside Codex.

    437 GitHub stars~1.6k tokensUpdated 2 mo ago
    AI & LLM EngineeringAuto-check passed
  • 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.

    757 GitHub stars~833 tokensUpdated 11 days ago
    AI & LLM EngineeringAuto-check passed

More from treylom/prompt-engineering-skills

All 10 skills in this repo
  • Prompt

    treylom/prompt-engineering-skills

    A skill your agent uses when the user asks to create, refine, or optimize a prompt ('프롬프트 만들어/생성해/다듬어') — AI 프롬프트 생성기.

    185 GitHub stars~637 tokensUpdated 12 days ago
    Auto-check passed
  • Prompt 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.

    185 GitHub stars~485 tokensUpdated 12 days ago
    Auto-check passed
  • 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).

    185 GitHub stars~346 tokensUpdated 12 days ago
    Auto-check passed
  • 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.

    185 GitHub stars~249 tokensUpdated 12 days ago
    Auto-check passed
  • 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…

    185 GitHub stars~334 tokensUpdated 12 days ago
    Auto-check passed
  • 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.

    185 GitHub stars~255 tokensUpdated 12 days ago
    Auto-check passed

Works with

Questions about Prompt Variation Guide

What does Prompt Variation Guide do?

A skill your agent uses when needing AI 프롬프트 변주 가이드. An agent skill from treylom/prompt-engineering-skills. Prompt Variation Guide is an agent skill from treylom/prompt-engineering-skills. Use when needing AI 프롬프트 변주 가이드.

When should I use Prompt Variation Guide?

Prompt Variation Guide fits situations like: needing AI 프롬프트 변주 가이드.

How do I install Prompt Variation Guide in Claude Code?

Run `npx skills add treylom/prompt-engineering-skills --skill prompt-variation-guide -a claude-code`. Or copy the skill folder (skills/prompt-variation-guide in treylom/prompt-engineering-skills) into .claude/skills/prompt-variation-guide in your project. Claude Code loads it when a task matches its description.

How do I install Prompt Variation Guide in Codex?

Run `npx skills add treylom/prompt-engineering-skills --skill prompt-variation-guide -a codex`. Or copy the skill folder (skills/prompt-variation-guide in treylom/prompt-engineering-skills) into .agents/skills/prompt-variation-guide in your project. Codex loads it when a task matches its description.

Can I use Prompt Variation Guide 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-variation-guide -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-variation-guide, .gemini/skills/prompt-variation-guide, .github/skills/prompt-variation-guide and .opencode/skills/prompt-variation-guide in your project.

What does Prompt Variation Guide need to run?

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

Does Prompt Variation Guide 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 Variation Guide 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 Variation Guide use?

Prompt Variation Guide 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 Variation Guide use?

About 834 tokens (SKILL.md is roughly 3.3k 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 7.1k tokens, read only when the agent opens those files.

What are the alternatives to Prompt Variation Guide?

Skills that share tags, products or a category with Prompt Variation Guide: 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 Variation Guide?

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.