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doro-command-creatordoro 命令创建者

Agent Skill

doro-command-creator 用于整理文档、README、Markdown 和说明材料,适合在 OpenClaw 中需要把零散信息整理成结构清晰的文档时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

15,031

周安装

614

GitHub Stars

公开资料未说明

下载量

4,814
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:doro-command-creator(doro 命令创建者)
来源仓库:https://github.com/a2mus/doro-command-creator
安装命令:
openclaw skills install doro-command-creator
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 doro-command-creator

简介

用于整理文档与 Markdown 材料,生成结构化说明内容。

  • 适合将零散信息转化为可复用的斜杠命令工作流程。doro-command-creator 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 支持创建 Claude Code 可调用的标准化操作模板。
  • 安装前需确认是否具备写入配置文件与运行脚本的权限。
  • 建议核对原始 README 以了解具体触发条件与使用限制。

SKILL.md

name
doro-command-creator
model
fast
version
1.0.0
description
|
WHAT
Create Claude Code slash commands - reusable markdown workflows invoked with /command-name.
WHEN
User wants to create, make, or add a slash command. User wants to automate a repetitive workflow or document a consistent process for reuse.
KEYWORDS
create a command", "make a slash command", "add a command", "new command", "/command", "automate this workflow", "make this repeatable

Command Creator

Slash commands are markdown files in .claude/commands/ (project) or ~/.claude/commands/ (global) that expand into prompts when invoked.

Command Structure

---
description: Brief description for /help (required)
argument-hint: <required> or [optional] (if takes arguments)
---

# Command Title

[Instructions for agent to execute autonomously]

Creation Workflow

Step 1: Determine Location

  1. Check if in git repo: git rev-parse --is-inside-work-tree
  2. Default: Git repo → .claude/commands/, No git → ~/.claude/commands/
  3. Override if user explicitly says "global" or "project"

Report chosen location before proceeding.

Step 2: Identify Pattern

Load references/patterns.md and present options:

PatternStructureUse When
Workflow AutomationAnalyze → Act → ReportMulti-step with clear sequence
Iterative FixingRun → Parse → Fix → RepeatFix issues until passing
Agent DelegationContext → Delegate → IterateComplex tasks, user review
Simple ExecutionParse → Execute → ReturnWrapper for existing tools

Ask: "Which pattern is closest to what you want?"

Step 3: Gather Information

A. Name and Purpose

  • "What should the command be called?" (kebab-case: my-command)
  • "What does it do?" (for description field)

B. Arguments

  • "Does it take arguments? Required or optional?"
  • Required: <placeholder>, Optional: [placeholder]

C. Workflow Steps

  • "What specific steps should it follow?"
  • "What tools or commands should it use?"

D. Constraints

  • "Any specific tools to use or avoid?"
  • "Any files to read for context?"

Step 4: Generate Command

Load references/best-practices.md for:

  • Template structure
  • Writing style (imperative form)
  • Quality checklist

Key principles:

  • Use imperative form: "Run X", not "You should run X"
  • Be explicit: "Run make lint", not "Check for errors"
  • Include expected outcomes
  • Define error handling
  • State success criteria

Step 5: Create File

mkdir -p [directory-path]

Write the command file. Report:

  • File location
  • What the command does
  • How to use: /command-name [args]

Step 6: Test (Optional)

Suggest: "Test with /command-name [args]"

Iterate based on feedback.


Writing Guidelines

Imperative form (verb-first):

  • ✅ "Run git status"
  • ❌ "You should run git status"

Specific, not vague:

  • ✅ "Run make lint to check for errors"
  • ❌ "Check for errors"

Include outcomes:

  • ✅ "Run git status - should show modified files"
  • ❌ "Run git status"

Realistic examples:

  • git commit -m "Add OAuth2 authentication"
  • git commit -m "foo bar"

Command Patterns Quick Reference

Workflow Automation

1. Check for .PLAN.md
2. Analyze git status/diff
3. Perform actions
4. Report results

Iterative Fixing

1. Run make all-ci (max 10 iterations)
2. Parse errors by category
3. Apply targeted fixes
4. Repeat until success or stuck

Agent Delegation

1. Present context
2. Invoke subagent with Task tool
3. Iterate with user feedback
4. Save output after approval

See references/examples.md for full command examples.


Quality Checklist

Before finalizing:

  • [ ] Name is kebab-case (my-command, not my_command)
  • [ ] Description is action-oriented
  • [ ] Steps are numbered and specific
  • [ ] Tool usage explicitly specified
  • [ ] Error handling defined
  • [ ] Success criteria stated
  • [ ] Uses imperative form

NEVER

  • Use underscores in command names (use hyphens)
  • Write vague instructions ("fix errors")
  • Skip error handling
  • Use second person ("You should...")
  • Create commands without testing
  • Leave success criteria undefined

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

74.04%
按下载量换算3,564

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。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

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