15,908 Open Skills

Free to get · One-click to use

✅ Keyword search & category filters
✅ Discussions & community interaction
✅ Version updates & multi-metric ranking
✅ Open SKILL.md standard

Import Skills

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hxr66666 hxr66666
from GitHub Databases & Storage
文件 duckdb json

duckdb-data-analysis

适用于查询、分析和可视化数据。例如分析csv、excel、parquet、json、jsonl 等文件的数据,进行统计聚合分类查询。先导入数据,然后使用SQL语句查询、分析和可视化数据。 **支持的文件格式**: - CSV 文件: 支持直接加载，包括压缩的CSV文件（如.gz） - Excel 文件: 支持.xlsx和.xls格式 - Parquet 文件: 支持列式存储格式 - JSON 文件: 支持标准JSON格式 - JSONL 文件: 支持每行一个JSON对象的格式 **文件导入说明**: - 基于DuckDB官方推荐的导入方法 - 自动处理文件格式识别和加载 - 支持相对路径和绝对路径 - 支持压缩文件的直接加载 **WHEN TO USE:** - 你需要查询、分析和可视化数据。 - 你需要对数据进行统计聚合分类查询。 - 你需要处理和分析多种格式的数据文件。 - 你需要生成数据可视化图表。 **EXAMPLE USAGE:** - 分析销售数据，生成销售趋势图表 - 处理CSV文件中的用户数据，进行用户行为分析 - 分析Excel文件中的财务数据，生成财务报表 - 处理JSON格式的日志数据，进行日志分析 --- ## Quick Reference | Task | Guide | |------|-------| | duckdb sql 语法指导规范，DuckDB的SQL方言紧密遵循PostgreSQL方言的约定，只有少数例外。 | 读取 [duckdb.md](duckdb.md) | **注意事项**: - 确保系统安装了uv工具,用于管理Python依赖 - 首次运行必须在`scripts` 目录下执行`uv sync` 命令,安装必要的依赖 - 首次运行必须先执行 `duckdb-analysis --session-id init initialize-extensions` 命令下载duckdb 内置的数据插件，这个过程可能需要几分钟，视网络情况而定 - 首次运行时会创建 `analysis.db` 数据库文件,用于存储会话信息和操作日志 **参数说明**: DuckDB 数据分析工具

⬇0 ❤3 1 day ago · Uploaded Detail →
mustafahasankhan mustafahasankhan
from GitHub Databases & Storage
duckdb data writing

duckdb-friendly-sql

Guides writing idiomatic DuckDB SQL using DuckDB's "friendly SQL" dialect and easy data import/export patterns. Use when writing DuckDB queries, analyzing data with DuckDB, importing CSV/Parquet/JSON/Excel files, working with S3/GCS/Azure storage, or when a user asks about DuckDB syntax, functions, or data loading.

⬇0 ❤3 10 days ago · Uploaded Detail →

Skill File Structure Sample (Reference)

skill-sample/
├─ SKILL.md              ⭐ Required: skill entry doc (purpose / usage / examples / deps)
├─ manifest.sample.json  ⭐ Recommended: machine-readable metadata (index / validation / autofill)
├─ LICENSE.sample        ⭐ Recommended: license & scope (open source / restriction / commercial)
├─ scripts/
│  └─ example-run.py     ✅ Runnable example script for quick verification
├─ assets/
│  ├─ example-formatting-guide.md  🧩 Output conventions: layout / structure / style
│  └─ example-template.tex         🧩 Templates: quickly generate standardized output
└─ references/           🧩 Knowledge base: methods / guides / best practices
   ├─ example-ref-structure.md     🧩 Structure reference
   ├─ example-ref-analysis.md      🧩 Analysis reference
   └─ example-ref-visuals.md       🧩 Visual reference

More Agent Skills specs Anthropic docs: https://agentskills.io/home

SKILL.md Requirements

├─ ⭐ Required: YAML Frontmatter (must be at top)
│  ├─ ⭐ name                 : unique skill name, follow naming convention
│  └─ ⭐ description          : include trigger keywords for matching
│
├─ ✅ Optional: Frontmatter extension fields
│  ├─ ✅ license              : license identifier
│  ├─ ✅ compatibility        : runtime constraints when needed
│  ├─ ✅ metadata             : key-value fields (author/version/source_url...)
│  └─ 🧩 allowed-tools        : tool whitelist (experimental)
│
└─ ✅ Recommended: Markdown body (progressive disclosure)
   ├─ ✅ Overview / Purpose
   ├─ ✅ When to use
   ├─ ✅ Step-by-step
   ├─ ✅ Inputs / Outputs
   ├─ ✅ Examples
   ├─ 🧩 Files & References
   ├─ 🧩 Edge cases
   ├─ 🧩 Troubleshooting
   └─ 🧩 Safety notes

Why SkillWink?

Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.

We provide keyword search, version updates, multi-metric ranking (downloads / likes / comments / updates), and open SKILL.md standards. You can also discuss usage and improvements on skill detail pages.

Keyword Search Version Updates Multi-Metric Ranking Open Standard Discussion

Quick Start:

Import/download skills (.zip/.skill), then place locally:

~/.claude/skills/ (Claude Code)

~/.codex/skills/ (Codex CLI)

One SKILL.md can be reused across tools.

FAQ

Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.

1. What are Agent Skills?

A skill is a reusable capability package, usually including SKILL.md (purpose/IO/how-to) and optional scripts/templates/examples.

Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.

2. How do Skills work?

Skills use progressive disclosure: load brief metadata first, load full docs only when needed, then execute by guidance.

This keeps agents lightweight while preserving enough context for complex tasks.

3. How can I quickly find the right skill?

Use these three together:

  • Semantic search: describe your goal in natural language.
  • Multi-filtering: category/tag/author/language/license.
  • Sort by downloads/likes/comments/updated to find higher-quality skills.

4. Which import methods are supported?

  • Upload archive: .zip / .skill (recommended)
  • Upload skills folder
  • Import from GitHub repository

Note: file size for all methods should be within 10MB.

5. How to use in Claude / Codex?

Typical paths (may vary by local setup):

  • Claude Code：~/.claude/skills/
  • Codex CLI：~/.codex/skills/

One SKILL.md can usually be reused across tools.

6. Can one skill be shared across tools?

Yes. Most skills are standardized docs + assets, so they can be reused where format is supported.

Example: retrieval + writing + automation scripts as one workflow.

7. Are these skills safe to use?

Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.

8. Why does it not work after import?

Most common reasons:

  • Wrong folder path or nested one level too deep
  • Invalid/incomplete SKILL.md fields or format
  • Dependencies missing (Python/Node/CLI)
  • Tool has not reloaded skills yet

9. Does SkillWink include duplicates/low-quality skills?

We try to avoid that. Use ranking + comments to surface better skills:

  • Duplicate skills: compare differences (speed/stability/focus)
  • Low quality skills: regularly cleaned up