Agent skill

Prompt Optimizer

Prompt 优化助手。适用于用户想优化提示词、改进 AI 指令、为特定任务设计更好的 prompt，或需要选择合适提示框架时使用。会根据任务场景匹配合适框架，必要时先追问关键信息，再输出更清晰、更可执行的提示词版本。

CC-BY-NC-4.0Auto-check passedAI & LLM Engineering

Install Prompt Optimizer

skills CLI

$ npx skills add chujianyun/skills --skill prompt-optimizer -a claude-code

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

GitHub CLI

$ gh skill install chujianyun/skills prompt-optimizer --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/chujianyun/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/prompt-optimizer .claude/skills/prompt-optimizer && 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/

Paste into Claude Code

Install the "prompt-optimizer" agent skill from https://github.com/chujianyun/skills/tree/main/skills/prompt-optimizer into .claude/skills/prompt-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-optimizer", 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

$skill-installer install https://github.com/chujianyun/skills/tree/main/skills/prompt-optimizer

Type 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.

skills CLI

$ npx skills add chujianyun/skills --skill prompt-optimizer -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install chujianyun/skills prompt-optimizer --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/chujianyun/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/prompt-optimizer .agents/skills/prompt-optimizer && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "prompt-optimizer" agent skill from https://github.com/chujianyun/skills/tree/main/skills/prompt-optimizer into .agents/skills/prompt-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-optimizer", 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.

skills CLI

$ npx skills add chujianyun/skills --skill prompt-optimizer -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install chujianyun/skills prompt-optimizer --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/chujianyun/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/prompt-optimizer .cursor/skills/prompt-optimizer && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "prompt-optimizer" agent skill from https://github.com/chujianyun/skills/tree/main/skills/prompt-optimizer into .cursor/skills/prompt-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-optimizer", 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

$ gemini skills install https://github.com/chujianyun/skills.git --path skills/prompt-optimizer

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add chujianyun/skills --skill prompt-optimizer -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install chujianyun/skills prompt-optimizer --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/chujianyun/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/prompt-optimizer .gemini/skills/prompt-optimizer && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "prompt-optimizer" agent skill from https://github.com/chujianyun/skills/tree/main/skills/prompt-optimizer into .gemini/skills/prompt-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-optimizer", 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.

GitHub CLI

$ gh skill install chujianyun/skills prompt-optimizer

Installs 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).

skills CLI

$ npx skills add chujianyun/skills --skill prompt-optimizer -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/chujianyun/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/prompt-optimizer .github/skills/prompt-optimizer && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "prompt-optimizer" agent skill from https://github.com/chujianyun/skills/tree/main/skills/prompt-optimizer into .github/skills/prompt-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-optimizer", 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.

skills CLI

$ npx skills add chujianyun/skills --skill prompt-optimizer -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install chujianyun/skills prompt-optimizer --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/chujianyun/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/prompt-optimizer .opencode/skills/prompt-optimizer && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "prompt-optimizer" agent skill from https://github.com/chujianyun/skills/tree/main/skills/prompt-optimizer into .opencode/skills/prompt-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-optimizer", 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-optimizer
GitHub stars: 742
Token cost: ~1.4k tokens
SKILL.md length: 655 words
Files: 60 (incl. references)
Skills in repo: 35
Repo updated: Oct 9, 2026
First seen: Oct 7, 2026
Licence: CC-BY-NC-4.0

At a glance

Works in 6 steps: Analyze User Input → Match Scenario and Select Framework → Load Framework Details → …
Tasks that involve Prompt engineering
SKILL.md covers 设计模式, Gotchas, Workflow and Framework Reference Files, plus 1 more section
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Prompt Optimizer is an agent skill from chujianyun/skills. Prompt 优化助手。适用于用户想优化提示词、改进 AI 指令、为特定任务设计更好的 prompt，或需要选择合适提示框架时使用。会根据任务场景匹配合适框架，必要时先追问关键信息，再输出更清晰、更可执行的提示词版本。

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 61 other files, including reference files (for example `references/Frameworks_Summary.md`, `references/frameworks/01_RACEF_Framework.md` and `references/frameworks/02_CRISPE_Framework.md`).

It sits in AI & LLM Engineering, covering Prompt engineering. The repository describes itself as: WuMing's Claude Skills.

When your agent uses it

Tasks that involve Prompt engineering

Example prompts

“/prompt-optimizer”

Workflow steps

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

Analyze User Input
Match Scenario and Select Framework
Load Framework Details
Clarify Ambiguities
Generate Optimized Prompt
Present and Iterate

What it can do on your machine

Read from SKILL.md and the folder at commit 13b27aa. 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 Optimizer loads about 1.4k tokens when it runs, and up to ~58k if it reads all its reference files. Until then it costs about 32 tokens; SKILL.md has 655 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~32
When it runs · the whole SKILL.md, loaded when a task matches: ~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~58k

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 (CC-BY-NC-4.0) doesn't allow us to republish the file, so here is its outline and opening line. It has 655 words (~1,376 tokens).

name: prompt-optimizer

Read the full SKILL.md on GitHub

Files

SKILL.md and 59 other files (references) in skills/prompt-optimizer of chujianyun/skills.

SKILL.md
LICENSE.txt
references/Frameworks_Summary.md
references/frameworks/01_RACEF_Framework.md
references/frameworks/02_CRISPE_Framework.md
references/frameworks/03_BAB_Framework.md
references/frameworks/04_Tree_of_Thought_Framework.md
references/frameworks/05_RICE_Framework.md
references/frameworks/06_RELIC_Framework.md
references/frameworks/07_SCAMPER_Framework.md
references/frameworks/08_BLOG_Framework.md
references/frameworks/09_Six_Thinking_Hats_Framework.md
references/frameworks/10_CIDI_Framework.md
references/frameworks/11_SPEAR_Framework.md
references/frameworks/12_Few_shot_Framework.md
references/frameworks/13_Zero_shot_Framework.md
references/frameworks/14_FOCUS_Framework.md
references/frameworks/15_RACE_Framework.md
references/frameworks/16_Blooms_Taxonomy_Framework.md
… and 41 more

Open the folder on GitHubat commit 13b27aa

Compare with similar skills

Prompt Optimizer 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 Optimizer compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Prompt Optimizer this skillchujianyun/skills	742	—	~1.4k	Automated safety check: Pass	CC-BY-NC-4.0	yesterday
Prompt Improverseverity1/claude-code-prompt-improver	1.9k	1 repos	~1.7k	Automated safety check: Pass	MIT	9 days ago
Prompt Engineering Patternsynulihao/AgentSkillOS	618	14 repos	~1.7k	Automated safety check: Pass	None	7 mo ago
Patch CreationPiebald-AI/tweakcc	2.5k	—	~1.6k	Automated safety check: Pass	MIT	today
Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit	260	3 repos	~1.4k	Automated safety check: Pass	Custom licence	7 mo ago
Codex Fable5baskduf/FableCodex	437	—	~1.6k	Automated safety check: Pass	AGPL-3.0	2 mo ago

Similar skills

Prompt Improver
severity1/claude-code-prompt-improver
This skill enriches vague prompts with targeted research and clarification before execution.
1.9k GitHub starsUsed in 1 repo~1.7k tokens
AI & LLM EngineeringAuto-check passed
Prompt Engineering Patterns
ynulihao/AgentSkillOS
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.
618 GitHub starsUsed in 14 repos~1.7k tokens
AI & LLM EngineeringAuto-check passed
Patch Creation
Piebald-AI/tweakcc
Create and register new patches for tweakcc. An agent skill from Piebald-AI/tweakcc.
2.5k GitHub stars~1.6k tokensUpdated today
AI & LLM EngineeringAuto-check passed
Senior Prompt Engineer
maslennikov-ig/claude-code-orchestrator-kit
Provides reference guides and Python scripts for prompt optimization, RAG evaluation, and agent orchestration when building or tuning LLM systems.
260 GitHub starsUsed in 3 repos~1.4k tokens
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
Prompt Engineering Patterns
wshobson/agents
Reference for designing and tuning production LLM prompts: few-shot examples, chain-of-thought, structured outputs, templates and system prompts.
40k GitHub stars~1.3k tokensUpdated 5 days ago
AI & LLM EngineeringAuto-check passed

More from chujianyun/skills

All 35 skills in this repo

Baize
chujianyun/skills
将公开或用户有权访问的 Wiki 完整转换为面向 Agent 的离线知识 Skill，并按原 Wiki 层级保存 Markdown、生成检索索引和逐文档哈希清单，支持无变化不落盘的手动或自动增量更新。当用户要求把 Wiki、文档站或帮助中心做成 Skill、同步已有 Wiki Skill、保持文档目录树或设置 Wiki Skill 自动更新时使用；不用于只摘要单篇网页或绕过登录、付费墙和访问控制。
742 GitHub stars~905 tokensUpdated yesterday
Auto-check passed
Add Photo Certificate Watermarks
chujianyun/skills
为照片、身份证、护照、学位证、毕业证、资格证、营业执照等证件或证书扫描件及 PDF 添加本地文字水印。用户提出照片加版权水印、身份证或学历证件添加“仅限某用途”水印、资质文件批量加水印、生成水印预览，或需要保持头像、二维码、印章等区域可辨认时使用。支持 JPEG、PNG、WebP 和 PDF，默认先预览、保留原件并清除图片元数据。不用于去除水印、伪造或篡改证件内容，也不用于仅设计 Logo…
742 GitHub stars~820 tokensUpdated yesterday
Auto-check passed
GitHub Code Interpreter
chujianyun/skills
GitHub 源码解读助手。适用于用户提供 GitHub 仓库链接，并希望解读源码、理解原理、分析架构、生成学习报告或快速上手文档时使用。会在 working 目录下生成源码解读和快速上手两份文档。默认先交付初稿，不自动复查；如果用户明确同意，再安排后续复查。不适用于仅克隆仓库或只要一句简介的场景。
742 GitHub stars~611 tokensUpdated yesterday
Auto-check passed
Llama Index Wiki
chujianyun/skills
LlamaIndex 官方用户文档离线知识库，用于检索并回答 LlamaIndex Python 框架的安装、RAG、数据加载、索引、检索与查询、Agent、Workflow、模型、Embedding、向量库、评估、可观测性、部署、LlamaCloud 和 LlamaParse 等问题，也可生成有文档依据的示例代码与排障建议。当用户提到…
742 GitHub stars~480 tokensUpdated yesterday
Auto-check passed
Paper Interpreter
chujianyun/skills
论文解读助手。适用于用户发送 arXiv 论文链接，并希望下载论文、解读论文、生成读书笔记、做论文拆解或输出详细报告时使用。会在工作目录创建论文文件夹、下载 PDF 与 TeX Source（如有）、生成中文 Markdown 报告。默认先交付初稿，不自动复查；如果用户明确同意，再安排后续复查。不适用于只要简短推荐语的情况。
742 GitHub stars~810 tokensUpdated yesterday
Auto-check passed
Qianwenai Wiki
chujianyun/skills
千问AI平台（Qianwen AI Platform / DashScope）官方文档离线知识库，用于检索并回答模型选择、API Key、OpenAI 兼容接口、DashScope SDK、文本与多模态生成、图像/视频/语音、Realtime API、Embedding、Reranking、Function Calling、MCP、批量调用、计费、Token Plan、API/SDK/CLI…
742 GitHub stars~717 tokensUpdated yesterday
Auto-check passed

Questions about Prompt Optimizer

What does Prompt Optimizer do?

Prompt 优化助手。适用于用户想优化提示词、改进 AI 指令、为特定任务设计更好的 prompt，或需要选择合适提示框架时使用。会根据任务场景匹配合适框架，必要时先追问关键信息，再输出更清晰、更可执行的提示词版本。. Prompt Optimizer is an agent skill from chujianyun/skills.

When should I use Prompt Optimizer?

Prompt Optimizer fits situations like: tasks that involve Prompt engineering.

How do I install Prompt Optimizer in Claude Code?

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

How do I install Prompt Optimizer in Codex?

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

Can I use Prompt Optimizer 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 chujianyun/skills --skill prompt-optimizer -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-optimizer, .gemini/skills/prompt-optimizer, .github/skills/prompt-optimizer and .opencode/skills/prompt-optimizer in your project.

What does Prompt Optimizer need to run?

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

Does Prompt Optimizer 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 Optimizer 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 Optimizer use?

Prompt Optimizer is published under the CC-BY-NC-4.0 licence (from the LICENSE file in the skill folder).

How many tokens does Prompt Optimizer use?

About 1.4k tokens (SKILL.md is roughly 5.5k 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 57k tokens, read only when the agent opens those files.

What are the alternatives to Prompt Optimizer?

Skills that share tags, products or a category with Prompt Optimizer: Prompt Improver (severity1/claude-code-prompt-improver, 1.9k stars), Prompt Engineering Patterns (ynulihao/AgentSkillOS, 618 stars), Patch Creation (Piebald-AI/tweakcc, 2.5k stars) and Senior Prompt Engineer (maslennikov-ig/claude-code-orchestrator-kit, 260 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Prompt Optimizer?

chujianyun (a GitHub user) maintains it in chujianyun/skills, which has 742 GitHub stars. The repository holds 35 skills in this directory. The repository was last updated on October 9, 2026.

Source: chujianyun/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Prompt Optimizer

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Files

Compare with similar skills

Similar skills

More from chujianyun/skills

Related

Questions about Prompt Optimizer