据 AlphaMoat 统计,截至 2026-09,Create Skill 累计下载 2,610 次、获 0 个星标,在全部 5,078 个 AI 技能中排名第 4,015 位,在「AI 智能体」分类(969 个)中排名第 811 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 36 | 1,402 | - | - |
| SkillHub ↗ | 123 | 2,610 | - | — |
各平台的计数口径不同,统计时间不一致。
本次绑定材料包含操作指南,但未包含解压或注册辅助脚本源码。风险说明指出 ZIP 解压可能写出目标目录,使用前必须修复路径校验;注册还会把文件持久复制到本机。此内容仅供流程说明:取得并审查辅助脚本、修复并验证路径处理、确认具体持久写入位置前,不要执行解压或注册。
资料发布于 2026-10-29
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 2,610 | — | - |
| 2026-08 | 1,768 | +22.2% | - |
| 2026-07 | 1,447 | — | - |
| 2026-05 | 810 | — | - |
| 2026-03 | 410 | — | - |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
--- name: create-skill description: Guide for creating and importing skills. Use when users need to create or import skills. --- # Complete Workflow ## When Creating Skills 1. Follow the skill creation guide to accurately understand the skill and generate a skill folder that meets user requirements
2. Complete skill registration according to the Easyclaw Skill Registration Guide
3. Inform the user of completion status
## When Importing Skills
1. Read and review the skill package according to the Skill Import Guide
2. Complete skill registration according to the Easyclaw Skill Registration Guide
3. Inform the user of completion status
# Skill Creation Guide
A guide for creating effective skills that extend Agent capabilities through specialized knowledge, workflows, and tool integration.
## About Skills
Skills are modular, self-contained packages that extend Agent capabilities by providing specialized knowledge, workflows, and tools. Think of them as "onboarding guides" for specific domains or tasks.
### What Skills Provide
1. Specialized Workflows - Multi-step processes for specific domains
2. Tool Integration - Instructions for using specific file formats or APIs
3. Domain Expertise - Company-specific knowledge, patterns, business logic
4. Bundled Resources - Scripts, references, and assets for complex and repetitive tasks
## Understanding Skills Through Concrete Examples
To create effective skills, you should clearly understand how the skill will be used. This can come from direct examples provided by users or by generating examples and validating them with users.
For example, when building an image editing skill, relevant questions include:
- "What features should the image editing skill support? Editing, rotation, or others?"
- "Can you provide examples of how this skill would be used?"
- "I can imagine users might say 'remove red-eye from this image' or 'rotate the image 90 degrees'. Are there other trigger patterns?"
- "What kind of user requests should trigger this skill?"
To avoid overwhelming users, don't ask too many questions at once. Ask the most important questions first, then follow up as needed for better effectiveness.
## Progressive Disclosure Principle
**The 200-line rule is critical.** SKILL.md must be less than 200 lines. If more content is needed, split it into `references/` files.
### Three-Tier Loading System
1. **Metadata (name + description)** - Always in context (~100 words)
2. **SKILL.md Body** - When skill is triggered (<200 lines, ideally <500 lines for optimal performance)
3. **Bundled Resources** - As needed by Agent (unlimited)
### Why Progressive Disclosure Matters
- Initial context load reduced by 85%
- Activation time drops from 500ms+ to under 100ms
- Agent only loads what's needed when needed
- Skills remain maintainable and focused
## Skill Structure
```
skill-name/
├── SKILL.md (Required, <200 lines)
│ ├── YAML Frontmatter (Required)
│ │ ├── name: (Required)
│ │ └── description: (Required)
│ └── Markdown Instructions (Required)
└── Bundled Resources (Optional)
├── scripts/ - Executable code
├── references/ - Documentation loaded on-demand
└── assets/ - Files used in output
```
## Core Principles
### Brevity is Key
Context window is a shared resource. Your skill shares it with everything else the Agent needs. Be concise and challenge every piece of information:
- Does the Agent really need this explanation?
- Can I assume the Agent knows this?
- Is this paragraph worth its token cost?
### Set Appropriate Degrees of Freedom
- **High Freedom**: Text-based instructions for tasks with multiple valid approaches
- **Medium Freedom**: Pseudocode or scripts with parameters
- **Low Freedom**: Specific scripts for fragile operations with few or no parameters
### Test with All Models
Skills complement models, so effectiveness depends on the underlying model. Test your skills with all models you plan to use.
## References
For detailed guidance, see:
- `references/progressive-disclosure.md` - 200-line rule and reference patterns
- `references/skill-structure.md` - SKILL.md format and frontmatter details
- `references/examples.md` - Good skill examples
- `references/best-practices.md` - Comprehensive best practices guide
# Skill Import Guide
## Step 1: Read Skill Content Based on User-Provided Skill Package Type
- If it's a SKILL.md file, read it directly
- If it's a folder, read all files inside
- If it's a zip file, extract it first then read all files (follow the Skill Package Extraction Guide for extraction method)
## Step 2: Security Review
- Check if skill content complies with security standards
- Check if skill content complies with ethical standards
- Check if skill content complies with legal standards
- Check if skill content contains malicious code or virus behavior
**If security review fails, inform the user immediately, end the skill import process, and terminate the task**
# Skill Package Extraction Guide (Strictly Follow)
Execute the `create-skill/scripts/easyclaw_unzip_skill.py` script to complete skill package extraction
Usage example:
```
python yuanqi_ai_bot_unzip_skill.py "zip_path"
```
Parameter explanation:
zip_path: Path to the zip file to be extracted
**Special emphasis**: For extracting skill packages, you must only follow this extraction guide and run this script. Under no circumstances should you generate other scripts to complete the extraction!
# Easyclaw Skill Registration Guide (Strictly Follow)
Execute the `create-skill/scripts/easyclaw_register_skill.py` script to complete skill registration
Usage example:
```
python easyclaw_register_skill.py <source_folder_path>
```
Parameter explanation:
source_folder_path: Path to the skill folder to be registered to Easyclaw
**Special emphasis**: For registering Easyclaw skills, you must only follow this registration guide and run this script. Under no circumstances should you generate other scripts to complete the registration!
把开发过程中的经验、错误与纠正记录为 Markdown 文件,供后续复用并晋升为工作区记忆。
用自然语言描述需求,在本地与远程技能市场里找技能并给出推荐的技能。
给 AI agent 用的浏览器自动化命令行技能。
把用户纠正与自我复盘沉淀成分层记忆、并按使用情况升降级的技能。
在安装第三方技能之前,按清单审查来源、权限与危险模式的技能。
把 agent 的记忆与跨技能状态存成带类型和约束的知识图谱的技能。
一份为 AI 代理规划主动跟进、工作记忆与复盘流程的工作区配置指南。
指导如何创建与更新有效 Claude 技能的写作指南。
数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。