技能打包器

skill-packager

by binyuli

[TODO: Complete and informative explanation of what the skill does and when to use it. Include WHEN to use this skill - specific scenarios, file types, or tasks that trigger it.]

4.5k效率与工作流未扫描2026年3月23日

安装

claude skill add --url github.com/openclaw/skills/tree/main/skills/binyuli/skill-packager

文档

Skill Packager

Overview

[TODO: 1-2 sentences explaining what this skill enables]

Structuring This Skill

[TODO: Choose the structure that best fits this skill's purpose. Common patterns:

1. Workflow-Based (best for sequential processes)

  • Works well when there are clear step-by-step procedures
  • Example: DOCX skill with "Workflow Decision Tree" -> "Reading" -> "Creating" -> "Editing"
  • Structure: ## Overview -> ## Workflow Decision Tree -> ## Step 1 -> ## Step 2...

2. Task-Based (best for tool collections)

  • Works well when the skill offers different operations/capabilities
  • Example: PDF skill with "Quick Start" -> "Merge PDFs" -> "Split PDFs" -> "Extract Text"
  • Structure: ## Overview -> ## Quick Start -> ## Task Category 1 -> ## Task Category 2...

3. Reference/Guidelines (best for standards or specifications)

  • Works well for brand guidelines, coding standards, or requirements
  • Example: Brand styling with "Brand Guidelines" -> "Colors" -> "Typography" -> "Features"
  • Structure: ## Overview -> ## Guidelines -> ## Specifications -> ## Usage...

4. Capabilities-Based (best for integrated systems)

  • Works well when the skill provides multiple interrelated features
  • Example: Product Management with "Core Capabilities" -> numbered capability list
  • Structure: ## Overview -> ## Core Capabilities -> ### 1. Feature -> ### 2. Feature...

Patterns can be mixed and matched as needed. Most skills combine patterns (e.g., start with task-based, add workflow for complex operations).

Delete this entire "Structuring This Skill" section when done - it's just guidance.]

[TODO: Replace with the first main section based on chosen structure]

[TODO: Add content here. See examples in existing skills:

  • Code samples for technical skills
  • Decision trees for complex workflows
  • Concrete examples with realistic user requests
  • References to scripts/templates/references as needed]

Resources (optional)

Create only the resource directories this skill actually needs. Delete this section if no resources are required.

scripts/

Executable code (Python/Bash/etc.) that can be run directly to perform specific operations.

Examples from other skills:

  • PDF skill: fill_fillable_fields.py, extract_form_field_info.py - utilities for PDF manipulation
  • DOCX skill: document.py, utilities.py - Python modules for document processing

Appropriate for: Python scripts, shell scripts, or any executable code that performs automation, data processing, or specific operations.

Note: Scripts may be executed without loading into context, but can still be read by Codex for patching or environment adjustments.

references/

Documentation and reference material intended to be loaded into context to inform Codex's process and thinking.

Examples from other skills:

  • Product management: communication.md, context_building.md - detailed workflow guides
  • BigQuery: API reference documentation and query examples
  • Finance: Schema documentation, company policies

Appropriate for: In-depth documentation, API references, database schemas, comprehensive guides, or any detailed information that Codex should reference while working.

assets/

Files not intended to be loaded into context, but rather used within the output Codex produces.

Examples from other skills:

  • Brand styling: PowerPoint template files (.pptx), logo files
  • Frontend builder: HTML/React boilerplate project directories
  • Typography: Font files (.ttf, .woff2)

Appropriate for: Templates, boilerplate code, document templates, images, icons, fonts, or any files meant to be copied or used in the final output.


Not every skill requires all three types of resources.

相关 Skills

技能工坊

by anthropics

Universal
热门

覆盖 Skill 从创建到迭代优化全流程:起草能力、补测试提示、跑评测与基准方差分析,并持续改写内容和描述,提升效果与触发准确率。

技能工坊把技能从创建、迭代到评测串成闭环,方差分析加描述优化,特别适合把触发准确率打磨得更稳。

效率与工作流
未扫描139.0k

PPT处理

by anthropics

Universal
热门

处理 .pptx 全流程:创建演示文稿、提取和解析幻灯片内容、批量修改现有文件,支持模板套用、合并拆分、备注评论与版式调整。

涉及PPTX的创建、解析、修改到合并拆分都能一站搞定,连备注、模板和评论也能处理,做演示文稿特别省心。

效率与工作流
未扫描139.0k

PDF处理

by anthropics

Universal
热门

遇到 PDF 读写、文本表格提取、合并拆分、旋转加水印、表单填写或加解密时直接用它,也能提取图片、生成新 PDF,并把扫描件通过 OCR 变成可搜索文档。

PDF杂活别再来回切工具了,文本表格提取、合并拆分到OCR识别一次搞定,连扫描件也能变可搜索。

效率与工作流
未扫描139.0k

相关 MCP 服务

文件系统

编辑精选

by Anthropic

热门

Filesystem 是 MCP 官方参考服务器,让 LLM 安全读写本地文件系统。

这个服务器解决了让 Claude 直接操作本地文件的痛点,比如自动整理文档或生成代码文件。适合需要自动化文件处理的开发者,但注意它只是参考实现,生产环境需自行加固安全。

效率与工作流
86.1k

by wonderwhy-er

热门

Desktop Commander 是让 AI 直接执行终端命令、管理文件和进程的 MCP 服务器。

这工具解决了 AI 无法直接操作本地环境的痛点,适合需要自动化脚本调试或文件批量处理的开发者。它能让你用自然语言指挥终端,但权限控制需谨慎,毕竟让 AI 执行 rm -rf 可不是闹着玩的。

效率与工作流
6.1k

EdgarTools

编辑精选

by dgunning

热门

EdgarTools 是无需 API 密钥即可解析 SEC EDGAR 财报的开源 Python 库。

这个工具解决了金融数据获取的痛点——直接让 AI 读取结构化财报,比如让 Claude 分析苹果的 10-K 文件。适合量化分析师或金融开发者快速构建数据管道。但注意,它依赖 SEC 网站稳定性,高峰期可能延迟。

效率与工作流
2.2k

评论