據 AlphaMoat 統計,截至 2026-09,Create Skill 累計下載 2,610 次、獲 0 個星標,在全部 5,078 個 AI 技能中排名第 4,015 位,在「AI 智慧體」分類(969 個)中排名第 811 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 36 | 1402 | - | - |
| SkillHub ↗ | 123 | 2610 | - | — |
各平台的計數口徑不同,統計時間不一致。
本次繫結材料包含操作指南,但未包含解壓或註冊輔助指令碼原始碼。風險說明指出 ZIP 解壓可能寫出目標目錄,使用前必須修復路徑校驗;註冊還會把檔案持久複製到本機。此內容僅供流程說明:取得並審查輔助指令碼、修復並驗證路徑處理、確認具體持久寫入位置前,不要執行解壓或註冊。
資料釋出於 2026-10-29
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 2610 | — | - |
| 2026-08 | 1768 | +22.2% | - |
| 2026-07 | 1447 | — | - |
| 2026-05 | 810 | — | - |
| 2026-03 | 410 | — | - |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 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!
將開發過程中的經驗、錯誤與修正記錄為 Markdown 檔案,供日後重用並提升為工作區記憶。
用自然語言描述需求,在本機與遠端技能市場尋找技能並取得推薦。
給 AI agent 用的瀏覽器自動化命令列技能。
將使用者明確糾正與自我檢視整理成分層記憶,並依使用情況升級或封存。
在安裝第三方技能之前,按清單審查來源、許可權與危險模式的技能。
將代理記憶與跨技能狀態整理成具型別與約束的知識圖譜。
規劃 AI 代理主動跟進、工作記憶與回顧流程的工作區設定指南。
指導如何建立與更新有效 Claude 技能的寫作指南。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。