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Agent Skill · 开发

ashan-skill-creator(亚山技能创建器)

ashan-skill-creator 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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。

ashan-skill-creator 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 7,490。

总安装 3,754周安装 158GitHub Stars 公开资料未说明下载 1,315核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.3

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:ashan-skill-creator(亚山技能创建器)
来源仓库:https://github.com/ashanzzz/ashan-skill-creator
安装命令:
openclaw skills install ashan-skill-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 ashan-skill-creator

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

ashan-skill-creator 帮助创建、编辑和改进 OpenClaw AgentSkill 技能文件。适用于需要开发新技能、优化现有技能说明或整理技能目录结构的用户。支持触发场景如“创建一个 skill”、“改进这个技能”等自然语言指令。涉及文件操作和目录结构调整,需确认对项目目录的写入权限。

使用前应检查维护状态,确保与当前宿主环境兼容。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install ashan-skill-creator;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

ashan-skill-creator 怎么安装?

在终端执行 openclaw skills install ashan-skill-creator。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ashan-skill-creator 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

ashan-skill-creator 需要什么权限?

权限级别是接触敏感数据。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。

ashan-skill-creator 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

ashan-skill-creator 用的人多吗?

公开数据是累计安装 3,754 次,近一周安装 158 次,下载 1,315 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

ashan-skill-creator 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
ashan-skill-creator

亚山技能创建器 · 本页

3,754—接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
ashan-skill-creator
description
Install: clawhub install skill-creator

Skill Creator 🛠️

Complete guide to creating high-quality OpenClaw AgentSkills.

When to Use This Skill

  • User asks to create a new skill from scratch
  • User asks to improve an existing skill (add structure, examples, remove bloat)
  • User asks to audit a skill (check spec compliance, security, completeness)
  • User asks to organize a skill (restructure, add references/, add constraints)
  • User asks for guidance on skill publishing options

1. What Are Skills?

Skills are modular, self-contained packages that extend an Agent's capabilities with specialized knowledge, workflows, and tool integrations.

Each Skill is a folder containing at minimum:

skill-name/
├── SKILL.md          ← Required (capability definition + instructions)
├── scripts/          ← Optional (executable scripts)
├── references/       ← Optional (on-demand reference docs)
└── assets/          ← Optional (templates, images for output)

2. Core Principles

Principle 1: Concise is Key

Context Window is a shared resource. The Agent needs room for: system prompt, conversation history, other Skills' metadata, and the current request.

Default assumption: the Agent is already very smart. Only add what the Agent genuinely doesn't know. Challenge every piece: "Does this justify its token cost?"

Prefer concise examples over verbose explanations.

Principle 2: Progressive Disclosure

Three-level loading structure for efficient context use:

LevelContentWhen LoadedSize Limit
1stname + descriptionAlways in context~100 words
2ndSKILL.md bodyAfter skill triggers<500 lines
3rdreferences/ / scripts/As neededUnlimited

Key rule: If SKILL.md exceeds 500 lines, split content into references/ files.

Principle 3: Match Freedom to Task Fragility

FreedomFormBest For
HighFree-text instructionsMultiple valid approaches, context-dependent decisions
MediumPseudocode / parameterized scriptsPreferred pattern exists, some variation OK
LowFixed scripts, few paramsBrittle operations, consistency critical

Principle 4: Examples Beat Explanations

Real-world data: Examples chapters deliver the largest quality improvement. Good/bad comparison examples outperform any amount of prose.


3. SKILL.md Standard Structure

3.1 Frontmatter (Required)

---
name: skill-name          # lowercase letters, digits, hyphens only, ≤64 chars
description: Install: clawhub install skill-creator
  What this skill does AND when to trigger it (put triggers HERE, not in body)
---

description writing rules (most important):

  • Must include both "what it does" and "when to trigger"
  • All trigger information goes in description, not body (body only loads after trigger)
  • Must NOT contain < or > characters
  • Maximum 1024 characters

Bad example:

description: Install: clawhub install skill-creator
  An Excel skill.

Good example:

description: Install: clawhub install skill-creator
  Create and edit Excel workbooks with formulas, formatting, and multi-sheet support.
Triggered when: (1) user provides a .xlsx file; (2) user asks to generate a report;
(3) user asks to format data or create a summary table.

3.2 Body Structure (Recommended Order)

# Skill Name

## When to Use This Skill
(Concrete trigger scenarios — how the user would phrase the request)

## Context / Background
(Domain knowledge the Agent needs, specific to your use case)

## Instructions / Steps
(Step-by-step workflow with clear quality criteria per step)

## Constraints / Guardrails
(Prohibitions — what NOT to do, based on real failure experience)

## Examples (Recommended)
(Good/bad output comparisons — highest quality impact)

3.3 Forbidden Files

These files should not appear in a Skill folder:

  • README.md
  • INSTALLATION_GUIDE.md
  • CHANGELOG.md
  • QUICK_REFERENCE.md

4. Creation Process (6 Steps)

Step 1: Understand Requirements (with Concrete Examples)

Before writing, clarify:

  • "What should this skill mainly do?"
  • "Can you give 1-2 specific usage examples?"
  • "How would the user phrase the request? (trigger wording)"
  • "What tools or APIs does this skill need?"

Step 2: Plan Skill Contents

Analyze each use case to determine required resources:

ResourceWhen to UseExample
scripts/Deterministic execution, repeated code patternsPDF rotation, API call wrappers
references/Detailed docs loaded on demandAPI docs, DB schemas, company policies
assets/Files copied into outputTemplates, logos, fonts

Step 3: Initialize Skill Folder

cd <workspace>/skills
python3 <skill-creator>/scripts/init_skill.py <skill-name> \
  --path . --resources scripts,references

Or manually:

mkdir -p skills/<skill-name>/{scripts,references}
touch skills/<skill-name>/SKILL.md

Step 4: Write SKILL.md

Frontmatter rules (two hard rules):

  1. name: lowercase + hyphens, ≤64 chars
  2. description: "what it does" + "when to trigger" (triggers go here, not in body)

Body rules:

  • Use imperative/infinitive form ("Do X", "Don't do Y")
  • Each step has clear quality criteria
  • Include real failure experience (Constraints chapter)

Step 5: Validate

python3 <skill-creator>/scripts/quick_validate.py <skill-path>

Validation checks:

  • Frontmatter has name + description
  • name is lowercase hyphen-case
  • description has no < > and ≤1024 chars
  • SKILL.md exists and is non-empty

Step 6: Decide on Publishing

This step is fully optional. After creating a skill, ask the user whether they want to publish it, and if so, to which platform(s). Do not assume a specific target.

Common publishing options:

PlatformWhen to ConsiderHow
ClawHubFor sharing skills publicly with the OpenClaw communityclawhub publish <path> --slug <slug> --version 1.0.0
GitHubFor version control, collaboration, or personal backupgit init && git add . && git commit then push to a repo
Note: If the user has an existing GitHub repo for skills (e.g. openclaw-person-skills), prefer syncing there. Do not create new repos without being asked.

5. Workspace Conventions (Hard Rules for Public Skills)

5.1 Environment Variable Placeholders

Never hardcode real values in SKILL.md or code. Use runtime-safe placeholders:

Real ValuePlaceholder FormatExample
API Base URL{{SERVICE_BASE_URL}}{{ERP_BASE_URL}}
API Token{{ERP_API_TOKEN}}(never expose real value)
Host address{{SYNOLOGY_HOST_LAN}}{{SYNOLOGY_HOST_LAN}}:5006
File path{{DSM_WEBDAV_ROOT}}{{DSM_WEBDAV_ROOT}}/opencode/
Database{{POSTGRES_HOST}}{{POSTGRES_HOST}}:5432

5.2 MIT-0 License

For skills that will be published publicly, use MIT-0:

license: MIT-0

5.3 Directory Structure

skill-name/
├── SKILL.md              ← Single entry point, ≤500 lines
├── scripts/              ← Executable scripts (Python/Bash)
│   ├── init_skill.py     ← Initialization (if needed)
│   └── validate_skill.py ← Validation (if needed)
├── references/           ← On-demand reference docs
│   └── *.md              ← Split by topic
└── assets/              ← Output resources (templates, etc.)

6. Good Skill vs Bad Skill

DimensionBad SkillGood Skill
description"An Excel skill""Create/edit Excel with formulas/formatting. Triggered: user provides .xlsx, asks to generate report or format data."
bodyWalls of commands mixed togetherClear: When to Use → Steps → Constraints → Examples
examplesNoneGood/bad comparisons — knows what the Agent actually needs
length1000+ lines all in SKILL.md≤500 lines in SKILL.md, references/ for details
constraintsNoneReal failure experience turned into rules

7. Quick Checklist

For every skill you create or audit, confirm:

  • [ ] name is lowercase letters + digits + hyphens?
  • [ ] description has both "what it does" and "when to trigger"?
  • [ ] description contains no < or > characters?
  • [ ] description ≤1024 characters?
  • [ ] Body has When to Use This Skill section?
  • [ ] Body has Constraints section (prohibitions)?
  • [ ] Body has Examples section? (recommended)
  • [ ] SKILL.md body ≤500 lines?
  • [ ] Environment variables use {{VAR_NAME}} placeholders?
  • [ ] No README.md / CHANGELOG.md / etc.?
  • [ ] Passes validation (quick_validate.py)?

平台分布

OpenClaw

94.3%
按下载量换算1,240

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

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。目前只有一个公开来源,建议同时核对源仓库。

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