Agent skill

Feishu Bitable Creator

by LeoYeAI in LeoYeAI/openclaw-master-skills

Create and populate Feishu (Lark) Bitable (multidimensional tables) with automated cleanup.

MITAuto-check passedProductivity & Automation

Install Feishu Bitable Creator

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill feishu-bitable-creator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills feishu-bitable-creator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/feishu-bitable-creator .claude/skills/feishu-bitable-creator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
feishu-bitable-creator
GitHub stars
2.2k
Token cost
~3.7k tokens
SKILL.md length
596 words
Files
2
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

Create and populate Feishu (Lark) Bitable (multidimensional tables) with automated cleanup.

  • Works in 3 steps: Feishu Channel Configuration: Your… → Token Management: OpenClaw's Feishu… → User Consent: When creating a table, the…
  • The user needs to: 1
  • SKILL.md covers Authentication & Permissions, Quick Start, Designing Rich Fields (发挥多维表格价值) and Add Owner as Admin, plus 3 more sections
  • Reaches open.feishu.cn

What it does

Feishu Bitable Creator is an agent skill from LeoYeAI/openclaw-master-skills. Create and populate Feishu (Lark) Bitable (multidimensional tables) with automated cleanup. Use when the user needs to: 1. Create a new Bitable from scratch with clean structure (no placeholder rows/columns) 2. Batch create fields and records in a Bitable 3. Convert structured data into a Bitable format 4. Create data tables for research, comparison, or tracking purposes Automatically handles: empty placeholder row cleanup, default column removal, intelligent primary field naming, and batch record creation.

Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `_meta.json`).

It sits in Productivity & Automation, covering Messaging and chat bots. It works with Feishu (Lark). The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • The user needs to: 1
  • Tasks that involve Messaging and chat bots

Example prompts

  • “/feishu-bitable-creator”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Feishu Channel Configuration: Your OpenClaw instance must have the Feishu channel enabled and configured with a valid app ID and app…
  2. Token Management: OpenClaw's Feishu extension automatically handles token acquisition and refresh using the configured app credentials. No…
  3. User Consent: When creating a table, the tool uses the agent's own identity (the Feishu app/bot). The addBitableAdmin() function requires…

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript and json).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • open.feishu.cn

    Also links to:

    • docs.openclaw.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Feishu Bitable Creator loads about 3.7k tokens when it runs. Until then it costs about 134 tokens; SKILL.md has 596 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~134
When it runs · the whole SKILL.md, loaded when a task matches
~3.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 596 words, ~3,651 tokens.

Download SKILL.mdSave it as .claude/skills/feishu-bitable-creator/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
feishu-bitable-creator
description
Create and populate Feishu (Lark) Bitable (multidimensional tables) with automated cleanup. Use when the user needs to: 1. Create a new Bitable from scratch with clean structure (no placeholder rows/columns) 2. Batch create fields and records in a Bitable 3. Convert structured data into a Bitable format 4. Create data tables for research, comparison, or tracking purposes Automatically handles: empty placeholder row cleanup, default column removal, intelligent primary field naming, and batch record creation.

Feishu Bitable Creator

Creates clean, ready-to-use Feishu Bitable tables with automatic cleanup and data population.

Authentication & Permissions

This skill requires a pre-configured Feishu (Lark) integration via OpenClaw's channel system. It does not accept API keys directly from the user.

How Authentication Works
  1. Feishu Channel Configuration: Your OpenClaw instance must have the Feishu channel enabled and configured with a valid app ID and app secret in ~/.openclaw/openclaw.json:

    json
    {
      "channels": {
        "feishu": {
          "enabled": true,
          "appId": "cli_xxxxxxxxxxxxxxxx",
          "appSecret": "your-app-secret"
        }
      }
    }
  2. Token Management: OpenClaw's Feishu extension automatically handles token acquisition and refresh using the configured app credentials. No manual token management is required.

  3. User Consent: When creating a table, the tool uses the agent's own identity (the Feishu app/bot). The addBitableAdmin() function requires the owner's explicit user_id obtained from the conversation context, ensuring consent.

Required Feishu App Permissions

Your Feishu app must have these permissions granted:

PermissionPurpose
bitable:appCreate and manage Bitable apps
drive:permission:manageAdd users as admins to documents
drive:drive:readRead drive contents
Security Notes
  • ⚠️ No User-Supplied Credentials: This skill does NOT accept API keys, tokens, or secrets from user prompts. All authentication is handled through OpenClaw's secure channel configuration.
  • ⚠️ Scope Limitation: The skill only performs actions on Bitable tables it creates. It cannot access existing tables without explicit sharing.
  • ⚠️ Admin Addition Requires Explicit User ID: Adding an admin requires the specific user_id from conversation context — the agent cannot arbitrarily add unknown users.
Setup Instructions

Before using this skill, ensure your OpenClaw host admin has:

  1. Created a Feishu app at https://open.feishu.cn/app
  2. Enabled the required permissions in the Feishu app console
  3. Configured the app ID and secret in ~/.openclaw/openclaw.json
  4. Restarted the OpenClaw gateway to apply changes

For detailed setup, see: https://docs.openclaw.ai/channels/feishu

Problem with default Bitable creation:

  • Feishu creates 10 empty placeholder rows by default
  • Creates 4 default columns (文本, 单选, 日期, 附件) that are often unused
  • Primary field is always named "文本" which is not descriptive
  • Creator has full control, but human owner has no permissions

This skill solves these issues:

  • ✅ Automatically deletes empty placeholder rows and default columns
  • ✅ Intelligently renames primary field based on table name
  • ✅ Adds owner as admin with full permissions
  • ✅ Provides clean slate for your actual data
Show full SKILL.md (234 more words)Show less

Quick Start

typescript
// 1. Create table (auto-cleans placeholder rows & default columns)
const table = await feishu_bitable_create_app({ name: "项目名称清单" });
// Returns: { app_token, url, table_id, primary_field_name, cleaned_placeholder_rows, cleaned_default_fields }

// 2. Add owner as admin (REQUIRED - get user_id from conversation context)
await addBitableAdmin({
  app_token: table.app_token,
  user_id: "ou_xxxxxxxxxxxxxxxx"  // Get from conversation context or Feishu user profile
});

// 3. Create RICH fields with tags/categories (建议根据场景选择)
// 参考 "Designing Rich Fields" 章节,选择适合的维度字段

// 4. Add records with complete tag information
await feishu_bitable_create_record({
  app_token: table.app_token,
  table_id: table.table_id,
  fields: {
    [table.primary_field_name]: "项目A",
    "标签": ["AI", "开源"],           // MultiSelect for filtering
    "分类": "技术",                   // SingleSelect for grouping
    "状态": "进行中",                 // SingleSelect for workflow
    "优先级": "高"                   // SingleSelect for sorting
  }
});

return table.url;

Designing Rich Fields (发挥多维表格价值)

💡 核心建议: 为了让多维表格真正发挥作用,建议设计丰富的标签/分类字段,但根据实际场景灵活选择。

推荐的字段设计思路

根据数据类型,考虑添加以下维度字段:

数据场景建议字段用途
项目管理状态、优先级、负责人、截止日期追踪进展,分配任务
研究/调研分类、标签、来源、评分归类信息,评估价值
产品/功能模块、优先级、状态、负责人产品规划,迭代管理
客户/用户类型、阶段、标签、负责人客户分层,跟进管理
竞品分析分类、评分、标签、来源对比分析,筛选查看
字段类型选择指南
字段名类型适用场景
标签MultiSelect一个项目可属于多个类别,用于交叉筛选
分类SingleSelect一级分类,用于分组统计
状态SingleSelect有明确流转阶段,如待办→进行中→完成
优先级SingleSelect需要排序或区分重要性
负责人User需要分配到人
日期DateTime有时间节点要求
评分Number需要量化评估
来源SingleSelect需要追踪信息出处
实际设计示例

示例1:开源大模型研究

typescript
const fields = [
  { name: "模型名称", type: 1 },
  { name: "开发团队", type: 1 },
  { name: "参数量", type: 1 },
  // 维度字段(根据数据特点选择)
  { name: "技术标签", type: 4 },      // ["MoE", "多语言", "代码", "轻量级"]
  { name: "地区", type: 3 },          // "美国"/"中国"/"欧洲"
  { name: "模型类型", type: 3 },      // "通用"/"代码"/"推理"
  { name: "适用场景", type: 4 },      // ["企业部署", "端侧运行", "科研"]
  { name: "开源协议", type: 3 },      // "Apache-2.0"/"MIT"
  { name: "发布日期", type: 5 },
  { name: "特点描述", type: 1 }
];

示例2:工作任务清单

typescript
const fields = [
  { name: "任务名称", type: 1 },
  { name: "描述", type: 1 },
  // 维度字段
  { name: "分类", type: 3 },          // "技术"/"产品"/"运营"
  { name: "状态", type: 3 },          // "待办"/"进行中"/"已完成"
  { name: "优先级", type: 3 },        // "P0"/"P1"/"P2"
  { name: "负责人", type: 11 },       // @username
  { name: "截止日期", type: 5 },
  { name: "标签", type: 4 }           // ["紧急", "重要", "外部依赖"]
];
设计原则
  1. 先想怎么用:先思考用户会如何筛选/分组/排序数据
  2. 适度原则:字段不是越多越好,选择真正能区分数据的维度
  3. 数据可得:确保收集数据时能填上这些字段,不要设计无法获取的维度
  4. 灵活调整:如果某个字段使用率很低,后续可以删除或修改
检验标准

设计完字段后,问自己:

  • ❓ 用户能按哪些维度筛选数据?
  • ❓ 能按哪些维度分组查看?
  • ❓ 能按哪些维度排序?
  • ❓ 数据收集时这些字段是否容易获取?

如果以上问题都有明确答案,说明字段设计合理!

实际示例:开源大模型表格
typescript
// 创建表格
const table = await feishu_bitable_create_app({ name: "全球开源大模型TOP10" });

// 添加管理员
await addBitableAdmin({ app_token: table.app_token, user_id: bossUserId });

// 创建丰富的字段(带标签/分类)
const fields = [
  { name: "排名", type: 2 },                                    // Number
  { name: "模型名称", type: 1 },                                // Text
  { name: "开发团队", type: 1 },                                // Text
  { name: "参数量", type: 1 },                                  // Text
  { name: "标签", type: 4, property: { options: [              // MultiSelect
    { name: "MoE" }, { name: "多语言" }, { name: "代码" }, 
    { name: "轻量级" }, { name: "推理优化" }, { name: "国产" }
  ]}},
  { name: "地区", type: 3, property: { options: [              // SingleSelect
    { name: "美国" }, { name: "中国" }, { name: "欧洲" }, 
    { name: "中东" }, { name: "其他" }
  ]}},
  { name: "类型", type: 3, property: { options: [               // SingleSelect
    { name: "通用模型" }, { name: "代码模型" }, { name: "推理模型" }
  ]}},
  { name: "开源协议", type: 3, property: { options: [           // SingleSelect
    { name: "Apache-2.0" }, { name: "MIT" }, { name: "Llama License" },
    { name: "Qwen License" }
  ]}},
  { name: "GitHub星标", type: 2 },                              // Number
  { name: "发布日期", type: 5 },                                // DateTime
  { name: "特点", type: 1 },                                    // Text
  { name: "适用场景", type: 4, property: { options: [           // MultiSelect
    { name: "企业部署" }, { name: "端侧运行" }, { name: "科学研究" },
    { name: "商业应用" }, { name: "教育学习" }
  ]}}
];

for (const field of fields) {
  await feishu_bitable_create_field({
    app_token: table.app_token,
    table_id: table.table_id,
    field_name: field.name,
    field_type: field.type,
    property: field.property
  });
}

// 添加带完整标签的数据
await feishu_bitable_create_record({
  app_token: table.app_token,
  table_id: table.table_id,
  fields: {
    [table.primary_field_name]: "Llama 3",
    "模型名称": "Llama 3",
    "排名": 1,
    "开发团队": "Meta",
    "参数量": "8B/70B/400B",
    "标签": ["多语言"],
    "地区": "美国",
    "类型": "通用模型",
    "开源协议": "Llama License",
    "GitHub星标": 50000,
    "发布日期": 1713398400000,  // 2024-04-18
    "特点": "开源模型领导者,性能对标GPT-4",
    "适用场景": ["企业部署", "商业应用", "科学研究"]
  }
});

Add Owner as Admin

IMPORTANT: Tool creates table but does NOT add permissions. You must add the owner as admin manually.

typescript
/**
 * Add a user as admin to a Bitable table
 * @param app_token - The Bitable app token
 * @param user_id - The user's open_id (from conversation context)
 */
async function addBitableAdmin({ app_token, user_id }) {
  const token = await getTenantAccessToken();
  
  const response = await fetch(
    `https://open.feishu.cn/open-apis/drive/v1/permissions/${app_token}/members/batch_create?type=bitable`,
    {
      method: 'POST',
      headers: {
        'Content-Type': 'application/json',
        'Authorization': `Bearer ${token}`
      },
      body: JSON.stringify({
        members: [{
          member_type: 'openid',
          member_id: user_id,
          perm: 'full_access'
        }]
      })
    }
  );
  
  const result = await response.json();
  if (result.code === 0) {
    console.log('✅ Successfully added owner as admin');
    return result.data;
  } else {
    throw new Error(result.msg);
  }
}
Required Permissions
  • bitable:app - Manage Bitable apps
  • drive:permission:manage - Manage document permissions

Primary Field Naming

Table name containsPrimary field becomes
"项目""项目名称"
"研究""研究名称"
"测试""测试项"
"数据""数据项"
"任务""任务名称"
"记录""记录项"
Other (≤6 chars)Use table name as-is
Other (>6 chars)First 4 chars + "..."

Common Field Types

Type IDNameUse For
1TextNames, descriptions
2NumberCounts, amounts
3SingleSelectStatus, priority
4MultiSelectTags, features
5DateTimeDates, deadlines
7CheckboxDone/Incomplete
11UserAssignees

Complete Example: Research Data Table with Rich Tags

typescript
async function createBitableForBoss({ tableName, records, bossUserId }) {
  // 1. Create table
  const table = await feishu_bitable_create_app({ name: tableName });
  
  // 2. Add owner as admin
  await addBitableAdmin({
    app_token: table.app_token,
    user_id: bossUserId
  });
  
  // 3. Create RICH fields with tags/categories (关键!)
  const fields = [
    { name: "排名", type: 2 },
    { name: "名称", type: 1 },
    { name: "标签", type: 4 },           // MultiSelect - 最关键!
    { name: "分类", type: 3 },           // SingleSelect
    { name: "状态", type: 3 },           // SingleSelect
    { name: "优先级", type: 3 },         // SingleSelect
    { name: "负责人", type: 11 },        // User
    { name: "来源", type: 3 },           // SingleSelect
    { name: "评分", type: 2 },           // Number
    { name: "日期", type: 5 },           // DateTime
    { name: "描述", type: 1 }            // Text
  ];
  
  for (const field of fields) {
    await feishu_bitable_create_field({
      app_token: table.app_token,
      table_id: table.table_id,
      field_name: field.name,
      field_type: field.type
    });
  }
  
  // 4. Add records with complete tags
  for (const record of records) {
    await feishu_bitable_create_record({
      app_token: table.app_token,
      table_id: table.table_id,
      fields: {
        [table.primary_field_name]: record.name,
        "名称": record.name,
        "标签": record.tags,              // 必填!
        "分类": record.category,          // 必填!
        "状态": record.status || "待处理",
        "优先级": record.priority || "中",
        "来源": record.source || "搜索",
        "描述": record.description
      }
    });
  }
  
  return {
    url: table.url,
    message: `✅ Table created with rich tags: ${table.url}`
  };
}

// Usage
const result = await createBitableForBoss({
  tableName: "AI开源项目研究",
  records: [
    {
      name: "AutoGPT",
      tags: ["AI代理", "自动化", "热门"],      // MultiSelect
      category: "智能体",                       // SingleSelect
      priority: "高",
      source: "GitHub",
      description: "自主递归任务执行AI代理"
    }
  ],
  bossUserId: "ou_xxxxxxxxxxxxxxxx"  // Replace with actual user's open_id
});
{ name: "GitHub星标", type: 2 },
{ name: "使用场景", type: 4 }

], records: [{ "AI框架对比": "AutoGPT", "框架名称": "AutoGPT", "GitHub星标": 157000, "使用场景": ["自动化", "研究"] }], bossUserId: "ou_xxxxxxxxxxxxxxxx" // Replace with actual user's open_id });


## Tips

1. **设计丰富的标签字段**: 为了让多维表格发挥作用,建议根据数据特点添加标签、分类、状态等维度字段(参考 "Designing Rich Fields" 章节)

2. **根据场景选择字段**: 不同数据类型需要不同的维度字段,如项目管理需要"状态",研究调研需要"来源",灵活设计

3. **先想怎么用**: 设计字段前先思考用户会如何筛选/分组/排序数据

4. **Multi-select values**: Pass as array: `["标签A", "标签B"]`

5. **User ID**: Get from conversation context (e.g., `ou_xxxxxxxxxxxxxxxx`)

6. **Cleanup verified**: Tool returns `cleaned_placeholder_rows` and `cleaned_default_fields`

7. **Field order**: Create fields first, then add records

## Error Handling

| Error | Cause | Solution |
|-------|-------|----------|
| FieldNameNotFound | Wrong primary field name | Check `primary_field_name` in result |
| 400 Bad Request | Invalid field type/value | Verify field_type ID |
| Permission Denied | Missing `drive:permission:manage` | Check app permissions |
| User Not Found | Wrong user_id format | Use `openid` type |

## Output Format

✅ Table "项目名称" created successfully!

🔗 URL: https://my.feishu.cn/base/xxxxxxxxxxxxx 🧹 Cleanup: 10 placeholder rows, 4 default columns deleted 👤 Owner: Added as admin (full_access) 📊 Records: X records added 📝 Fields: 名称, 标签, 分类, 状态, 优先级, 负责人, 日期, 描述 💡 Tip: 建议添加标签/分类/状态等维度字段,让表格支持多维筛选和分组


**设计检查建议**:
- 是否可以根据标签交叉筛选数据?
- 是否可以按分类分组查看?
- 是否可以按状态/优先级排序?
- 数据收集时这些字段是否容易获取?

如果以上问题都有答案,说明字段设计合理!
- ✅ 优先级 (SingleSelect) - for sorting

© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/feishu-bitable-creator of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • _meta.json

Open the folder on GitHubat commit e5199b5

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    215 GitHub stars~1.7k tokensUpdated 1 mo ago
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Works with

Questions about Feishu Bitable Creator

What does Feishu Bitable Creator do?

Create and populate Feishu (Lark) Bitable (multidimensional tables) with automated cleanup. Feishu Bitable Creator is an agent skill from LeoYeAI/openclaw-master-skills. Create and populate Feishu (Lark) Bitable (multidimensional tables) with automated cleanup.

When should I use Feishu Bitable Creator?

Feishu Bitable Creator fits situations like: the user needs to: 1; tasks that involve Messaging and chat bots.

How do I install Feishu Bitable Creator in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill feishu-bitable-creator -a claude-code`. Or copy the skill folder (skills/feishu-bitable-creator in LeoYeAI/openclaw-master-skills) into .claude/skills/feishu-bitable-creator in your project. Claude Code loads it when a task matches its description.

How do I install Feishu Bitable Creator in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill feishu-bitable-creator -a codex`. Or copy the skill folder (skills/feishu-bitable-creator in LeoYeAI/openclaw-master-skills) into .agents/skills/feishu-bitable-creator in your project. Codex loads it when a task matches its description.

Can I use Feishu Bitable Creator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill feishu-bitable-creator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/feishu-bitable-creator, .gemini/skills/feishu-bitable-creator, .github/skills/feishu-bitable-creator and .opencode/skills/feishu-bitable-creator in your project.

What does Feishu Bitable Creator need to run?

SKILL.md names no scripts, command-line tools or credentials: Feishu Bitable Creator is instructions for the agent only.

Does Feishu Bitable Creator access the network?

SKILL.md names 2 domains. In commands or code: open.feishu.cn; the agent is likely to contact it when it follows the instructions. As links in the text: docs.openclaw.ai. This is read from the text; nothing was executed.

Is Feishu Bitable Creator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Feishu Bitable Creator use?

Feishu Bitable Creator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Feishu Bitable Creator use?

About 3.7k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Feishu Bitable Creator?

Skills that share tags, products or a category with Feishu Bitable Creator: Feishu Doc (openclaw/openclaw, 392k stars), Feishu Doc (raucvr/Group-Goki, 112 stars), Feishu Drive (raucvr/Group-Goki, 112 stars) and Feishu Perm (raucvr/Group-Goki, 112 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Feishu Bitable Creator?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,160 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.