Token导航 LogoToken导航TokenDH.com
研究检索敏感数据clawhub未标认证来源可访问clear审计提醒

prompt-to-drawio提示绘图

Agent Skill

用于辅助提示词、系统指令、Agent 行为约束和工作流模板的整理。它适合让 Agent 规范任务边界、统一输出格式、拆分操作步骤或优化提示词可复用性。使用时需要保留真实业务约束,不要把示例当硬规则;涉及自动执行、外部工具或高风险操作时,应在提示词中明确确认步骤、权限边界和失败处理方式。

总安装

7,956

周安装

325

GitHub Stars

公开资料未说明

下载量

2,548
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:prompt-to-drawio(提示绘图)
来源仓库:https://github.com/lzfxxx/prompt-to-drawio
安装命令:
openclaw skills install prompt-to-drawio
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install prompt-to-drawio

简介

根据自然语言自动生成 draw.io 图表,无需前端界面。

  • 适用于流程图、架构图等可视化文档插图制作。
  • 通过“.draw等”指令触发,支持复杂结构细化描述。
  • 安装命令:openclaw skills install prompt-to-drawio。
  • 依赖模型对图形语义的理解,需确认运行环境权限。

SKILL.md

name
prompt-to-drawio
description
Generate and edit draw.io artifacts from natural-language prompts without a frontend. Use when the user asks for prompt-to-diagram workflows that need .drawio output, optional image export (png/svg/pdf/jpg), context ingestion (image/PDF/text/URL), shape-library lookup, or visual validation loops.

Prompt To Drawio

Use this skill to run a CLI-only version of Next AI Draw.io capabilities.

Capability Set

  1. Prompt -> .drawio generation.
  2. Prompt-driven edit on existing diagrams (ID-based operations).
  3. Optional image export (png, svg, pdf, jpg).
  4. Context ingestion from local files (txt/md/json/csv/pdf/image) and URLs.
  5. Shape library documentation injection (aws4, gcp2, azure2, kubernetes, etc.).
  6. Visual quality validation with retry loops.
  7. History snapshot backup before edits.

Runtime Script

Primary entrypoint:

  • /Users/zhaofengli/.codex/skills/prompt-to-drawio/scripts/prompt_to_drawio.py

Subcommands:

  • generate
  • edit
  • export
  • validate
  • library

Compatibility:

  • Legacy usage without subcommand is treated as generate.

Runtime Modes

Mode A (default, recommended): in-session LLM mode

  • If the assistant is directly executing this skill inside a Codex/LLM session, generation/edit can be done by the session model itself.
  • In this mode, DRAWIO_LLM_API_KEY is not required by the skill workflow.

Mode B: standalone CLI mode

  • If you run prompt_to_drawio.py generate|edit|validate as an independent subprocess that must call a model API by itself, then API key is required.
  • Supported env key names: DRAWIO_LLM_API_KEY (preferred) or OPENAI_API_KEY.
  • Default key-loading rule: script auto-loads nearest .env from current working directory upward (first match), then reads key variables from it.
  • Override dotenv path with DRAWIO_DOTENV_FILE=/absolute/path/.env.
  • Precedence: CLI flag --api-key/--validation-api-key > existing process env > auto-loaded .env.
  • New runtime controls:

- --no-dotenv: disable .env auto-loading. - --dotenv-file /abs/path/.env: use specific dotenv file. - --no-config-summary: silence startup effective-config print. - --no-model-preflight: skip provider-side model existence preflight.

Optional env overrides for standalone CLI mode:

export DRAWIO_LLM_API_KEY="<secret>"
export DRAWIO_LLM_BASE_URL="https://api.openai.com/v1"
export DRAWIO_LLM_MODEL="gpt-4.1"
export DRAWIO_VALIDATION_MODEL="gpt-4.1"
export DRAWIO_VALIDATION_API_KEY="$DRAWIO_LLM_API_KEY"
export DRAWIO_VALIDATION_BASE_URL="$DRAWIO_LLM_BASE_URL"

Google OpenAI-Compatible Example

export DRAWIO_LLM_API_KEY="<google_ai_studio_key>"
export DRAWIO_LLM_BASE_URL="https://generativelanguage.googleapis.com/v1beta/openai/"
export DRAWIO_LLM_MODEL="gemini-3-pro-preview"

export DRAWIO_VALIDATION_API_KEY="$DRAWIO_LLM_API_KEY"
export DRAWIO_VALIDATION_BASE_URL="$DRAWIO_LLM_BASE_URL"
export DRAWIO_VALIDATION_MODEL="gemini-3-pro-preview"

Model naming notes:

  • Recommended baseline: gemini-3-pro-preview (or latest model shown by provider model listing).
  • Avoid stale/nonexistent names such as gemini-3-pro unless your provider explicitly lists it.

Workflows

1) Create Diagram

python3 /Users/zhaofengli/.codex/skills/prompt-to-drawio/scripts/prompt_to_drawio.py generate \
  --prompt "Create a user login + MFA + session flowchart" \
  --out-drawio "/absolute/path/auth-flow.drawio" \
  --out-image "/absolute/path/auth-flow.png" \
  --validate \
  --validate-soft

2) Create Diagram from Image/PDF/URL Context

python3 /Users/zhaofengli/.codex/skills/prompt-to-drawio/scripts/prompt_to_drawio.py generate \
  --prompt "Replicate architecture style and improve readability" \
  --file "/absolute/path/reference-arch.png" \
  --file "/absolute/path/requirements.pdf" \
  --url "https://example.com/spec" \
  --shape-library aws4 \
  --out-drawio "/absolute/path/cloud.drawio" \
  --out-image "/absolute/path/cloud.svg"

3) Edit Existing Diagram

python3 /Users/zhaofengli/.codex/skills/prompt-to-drawio/scripts/prompt_to_drawio.py edit \
  --in-drawio "/absolute/path/cloud.drawio" \
  --prompt "Add WAF before ALB and split app tier into two services" \
  --out-drawio "/absolute/path/cloud-v2.drawio" \
  --out-image "/absolute/path/cloud-v2.png" \
  --validate

4) Export Only

python3 /Users/zhaofengli/.codex/skills/prompt-to-drawio/scripts/prompt_to_drawio.py export \
  --in-drawio "/absolute/path/cloud-v2.drawio" \
  --out-image "/absolute/path/cloud-v2.pdf"

5) Validation Only

python3 /Users/zhaofengli/.codex/skills/prompt-to-drawio/scripts/prompt_to_drawio.py validate \
  --in-drawio "/absolute/path/cloud-v2.drawio" \
  --fail-on-critical

6) Shape Library Discovery

python3 /Users/zhaofengli/.codex/skills/prompt-to-drawio/scripts/prompt_to_drawio.py library --list
python3 /Users/zhaofengli/.codex/skills/prompt-to-drawio/scripts/prompt_to_drawio.py library --name aws4

Output Contract

Always surface generated file paths exactly as printed by script:

  • DRAWIO_FILE=...
  • IMAGE_FILE=... (if requested and successful)
  • BACKUP_FILE=... (for edits)
  • VALIDATION_JSON= block when validation runs

Diagnostics:

  • On startup, script prints effective runtime config summary to stderr (dotenv source, effective model/base-url, key presence mask).
  • On JSON parse failures, raw model response is dumped to a temp file and the error includes that path.

Do not claim export success unless target file exists.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

85.17%
按下载量换算2,170

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills