Prompt Improver
severity1/claude-code-prompt-improver
This skill enriches vague prompts with targeted research and clarification before execution.
图片或视频提示词编写、生成、参考编辑与延续时使用。只读取当前操作的指南；查询进度、下载、移动节点、闲聊不触发. An agent skill from henjicc/Henji-AI.
Install Prompt Optimization
$ npx skills add henjicc/Henji-AI --skill prompt-optimization -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install henjicc/Henji-AI prompt-optimization --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/henjicc/Henji-AI.git skills-src && mkdir -p .claude/skills && cp -r skills-src/resources/assistant-skills/prompt-optimization .claude/skills/prompt-optimization && 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-optimization" agent skill from https://github.com/henjicc/Henji-AI/tree/main/resources/assistant-skills/prompt-optimization into .claude/skills/prompt-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-optimization", 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/henjicc/Henji-AI/tree/main/resources/assistant-skills/prompt-optimizationType 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 henjicc/Henji-AI --skill prompt-optimization -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install henjicc/Henji-AI prompt-optimization --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/henjicc/Henji-AI.git skills-src && mkdir -p .agents/skills && cp -r skills-src/resources/assistant-skills/prompt-optimization .agents/skills/prompt-optimization && 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-optimization" agent skill from https://github.com/henjicc/Henji-AI/tree/main/resources/assistant-skills/prompt-optimization into .agents/skills/prompt-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-optimization", 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 henjicc/Henji-AI --skill prompt-optimization -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install henjicc/Henji-AI prompt-optimization --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/henjicc/Henji-AI.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/resources/assistant-skills/prompt-optimization .cursor/skills/prompt-optimization && 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-optimization" agent skill from https://github.com/henjicc/Henji-AI/tree/main/resources/assistant-skills/prompt-optimization into .cursor/skills/prompt-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-optimization", 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/henjicc/Henji-AI.git --path resources/assistant-skills/prompt-optimization--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 henjicc/Henji-AI --skill prompt-optimization -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install henjicc/Henji-AI prompt-optimization --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/henjicc/Henji-AI.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/resources/assistant-skills/prompt-optimization .gemini/skills/prompt-optimization && 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-optimization" agent skill from https://github.com/henjicc/Henji-AI/tree/main/resources/assistant-skills/prompt-optimization into .gemini/skills/prompt-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-optimization", 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 henjicc/Henji-AI prompt-optimizationInstalls 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 henjicc/Henji-AI --skill prompt-optimization -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/henjicc/Henji-AI.git skills-src && mkdir -p .github/skills && cp -r skills-src/resources/assistant-skills/prompt-optimization .github/skills/prompt-optimization && 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-optimization" agent skill from https://github.com/henjicc/Henji-AI/tree/main/resources/assistant-skills/prompt-optimization into .github/skills/prompt-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-optimization", 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 henjicc/Henji-AI --skill prompt-optimization -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install henjicc/Henji-AI prompt-optimization --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/henjicc/Henji-AI.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/resources/assistant-skills/prompt-optimization .opencode/skills/prompt-optimization && 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-optimization" agent skill from https://github.com/henjicc/Henji-AI/tree/main/resources/assistant-skills/prompt-optimization into .opencode/skills/prompt-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-optimization", 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-optimization- GitHub stars
- 254
- Token cost
- ~306 tokens
- SKILL.md length
- 43 words
- Files
- 16 (incl. references)
- Skills in repo
- 11
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
图片或视频提示词编写、生成、参考编辑与延续时使用。只读取当前操作的指南；查询进度、下载、移动节点、闲聊不触发. An agent skill from henjicc/Henji-AI.
- Tasks that involve Prompt engineering
- SKILL.md covers 选择本次需要的内容 and 执行边界
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Prompt Optimization is an agent skill from henjicc/Henji-AI. 图片或视频提示词编写、生成、参考编辑与延续时使用。只读取当前操作的指南；查询进度、下载、移动节点、闲聊不触发。
Its SKILL.md is about 310 tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including reference files (for example `references/character-sheet.md`, `references/image-edit.md` and `references/image-location.md`).
It sits in AI & LLM Engineering, covering Prompt engineering. The repository describes itself as: 痕迹AI - 一个软件用上各种AI！聚合多家供应商，一站式生成图片、视频和音频. The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Prompt engineering
Example prompts
- “/prompt-optimization”
What it can do on your machine
Read from SKILL.md and the folder at commit 7283535. 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 Optimization loads about 306 tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 19 tokens; SKILL.md has 43 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 henjicc/Henji-AI at commit 7283535, republished under its Apache-2.0 licence (© henjicc). 43 words, ~306 tokens.
Download SKILL.mdSave it as
.claude/skills/prompt-optimization/SKILL.md (or your agent's skills folder). This skill also uses 15 other files; get the full folder from GitHub.- name
- prompt-optimization
- description
- 图片或视频提示词编写、生成、参考编辑与延续时使用。只读取当前操作的指南；查询进度、下载、移动节点、闲聊不触发。
提示词优化
把用户目标转成可执行描述。优化不是扩写；保留明确风格、数量、动作、文字及修改范围。要求原文提交时不改写。
选择本次需要的内容
通过 load_assistant_skill 的 name: prompt-optimization 和 path 读取下列文件。按当前动作选择，不按所在页面选择；通常只需一份。不是必读清单，不跟随链接展开全部文件。已在上下文中完整存在的内容直接复用。
| 当前任务 | 读取 |
|---|---|
| 从零生图或普通参考生图 | 图片基础 |
| 商品图、产品材质或电商展示 | 商品展示 |
| 带标题、说明文字的海报 | 文字海报 |
| 替换、添加、删除图片内容 | 图片编辑 |
| 三视图、人物设定或系列组图 | 角色与组图 |
| 有真实蒙版、标记或点框定位 | 图像定位 |
| 单段视频或让图片动起来 | 视频基础 |
| 多种素材分别控制动作、外观或声音 | 视频参考绑定 |
| 跨镜头保持人物、道具与方向 | 视频连续性 |
| 修改已有视频 | 视频编辑 |
| 延长或连接已有片段 | 视频延续 |
| 任务涉及对白、声音或字幕 | 声音与文字 |
只有当前问题涉及多个独立维度时才加读对应模块，不自动补读基础课。完整制作也逐阶段读取，不开头全量加载。
执行边界
- 只写提示词不生成；执行生成使用现有工具，保留消息所在的画布和落点。
- 使用当前默认模型或用户明确指定模型，能力、参数及价格查询正式工具，不从技能猜测。不额外调用优化模型。
- 参考素材使用真实引用并核对用途与顺序；画布、历史、编辑预览不必先收藏。没有看过素材就不杜撰内容。
- 所有指南按功能适用于模型，不绑定品牌。技能不授予工具权限，不改变费用设置。
© henjicc, Apache-2.0. 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 15 other files (references) in resources/assistant-skills/prompt-optimization of henjicc/Henji-AI.
- SKILL.md
- LICENSE.openai
- LICENSE.replicate
- NOTICE
- references/character-sheet.md
- references/image-edit.md
- references/image-location.md
- references/image.md
- references/poster.md
- references/product.md
- references/video-continuity.md
- references/video-edit.md
- references/video-extension.md
- references/video-reference.md
- references/video-sound.md
- references/video.md
Open the folder on GitHubat commit 7283535
Compare with similar skills
Prompt Optimization 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 Optimization this skillhenjicc/Henji-AI | 254 | — | ~306 | Automated safety check: Pass | Apache-2.0 | |
| Prompt Improverseverity1/claude-code-prompt-improver | 1.9k | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Prompt Engineering Patternsynulihao/AgentSkillOS | 618 | 14 repos | ~1.7k | Automated safety check: Pass | None | |
| Patch CreationPiebald-AI/tweakcc | 2.5k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit | 260 | 3 repos | ~1.4k | Automated safety check: Pass | Custom licence | |
| Codex Fable5baskduf/FableCodex | 437 | — | ~1.6k | Automated safety check: Pass | AGPL-3.0 |
Similar skills
Prompt Engineering Patterns
ynulihao/AgentSkillOS
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.
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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.
Codex Fable5
baskduf/FableCodex
Apply a Claude Fable 5 inspired operating style inside Codex.
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.
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Categories
Questions about Prompt Optimization
What does Prompt Optimization do?
图片或视频提示词编写、生成、参考编辑与延续时使用。只读取当前操作的指南；查询进度、下载、移动节点、闲聊不触发. An agent skill from henjicc/Henji-AI. Prompt Optimization is an agent skill from henjicc/Henji-AI.
When should I use Prompt Optimization?
Prompt Optimization fits situations like: tasks that involve Prompt engineering.
How do I install Prompt Optimization in Claude Code?
Run `npx skills add henjicc/Henji-AI --skill prompt-optimization -a claude-code`. Or copy the skill folder (resources/assistant-skills/prompt-optimization in henjicc/Henji-AI) into .claude/skills/prompt-optimization in your project. Claude Code loads it when a task matches its description.
How do I install Prompt Optimization in Codex?
Run `npx skills add henjicc/Henji-AI --skill prompt-optimization -a codex`. Or copy the skill folder (resources/assistant-skills/prompt-optimization in henjicc/Henji-AI) into .agents/skills/prompt-optimization in your project. Codex loads it when a task matches its description.
Can I use Prompt Optimization 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 henjicc/Henji-AI --skill prompt-optimization -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-optimization, .gemini/skills/prompt-optimization, .github/skills/prompt-optimization and .opencode/skills/prompt-optimization in your project.
What does Prompt Optimization need to run?
SKILL.md names no scripts, command-line tools or credentials: Prompt Optimization is instructions for the agent only.
Does Prompt Optimization 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 Optimization 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 Optimization use?
Prompt Optimization is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Prompt Optimization use?
About 306 tokens (SKILL.md is roughly 1.2k 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 2.4k tokens, read only when the agent opens those files.
What are the alternatives to Prompt Optimization?
Skills that share tags, products or a category with Prompt Optimization: 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 Optimization?
henjicc (a GitHub user) maintains it in henjicc/Henji-AI, which has 254 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 10, 2026.
Source: henjicc/Henji-AI on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.