← 返回
AI智能 中文

X Bookmarks Archiver

Fetch your X bookmarks, auto-categorize by URL, generate AI summaries, and save organized markdown archives in your OpenClaw workspace.
获取X书签,按URL自动分类,生成AI摘要,并将整理好的Markdown归档保存至OpenClaw工作区。
iamadig
AI智能 clawhub v1.0.0 1 版本 99602.5 Key: 无需
★ 2
Stars
📥 2,215
下载
💾 223
安装
1
版本
#latest

概述

X Bookmark Archiver

Archive your X (Twitter) bookmarks into categorized markdown files with AI-generated summaries.

Overview

This skill fetches your X bookmarks using the bird CLI, categorizes them by URL patterns, generates AI summaries using OpenAI, and saves them as organized markdown files.

Prerequisites

  1. bird CLI - Install from steipete/bird
  2. OpenAI API Key (optional) - Set OPENAI_API_KEY for AI-generated summaries
  3. Node.js 18+

Installation

# Ensure bird CLI is installed and authenticated
bird --version

# Set OpenAI API key (optional, for AI summaries)
export OPENAI_API_KEY="sk-..."

Commands

run - Full Pipeline

Fetches new bookmarks and processes them:

node skills/x-bookmark-archiver/scripts/run.cjs

run --force - Process Existing

Skip fetch, process only pending bookmarks:

node skills/x-bookmark-archiver/scripts/run.cjs --force

fetch - Download Bookmarks Only

node skills/x-bookmark-archiver/scripts/fetch.cjs

process - Archive Pending Only

node skills/x-bookmark-archiver/scripts/process.cjs

Category Mapping

Bookmarks are automatically categorized based on URL patterns:

CategoryDomains
-------------------
toolsgithub.com, gitlab.com, github.io, huggingface.co, replicate.com, vercel.com, npmjs.com, pypi.org
articlesmedium.com, substack.com, dev.to, hashnode.dev, x.com/i/article, blog.*, towardsdatascience.com
videosyoutube.com, youtu.be, vimeo.com, twitch.tv
researcharxiv.org, paperswithcode.com, semanticscholar.org, researchgate.net, dl.acm.org, ieee.org
newstechcrunch.com, theverge.com, hn.algolia.com, news.ycombinator.com, wired.com, arstechnica.com
bookmarksfallback for unmatched URLs

Output Location

Markdown files are created in the OpenClaw workspace at:

Legacy installs (old name):

~/clawd/X-knowledge/

New installs:

~/.openclaw/workspace/X-knowledge/

With profile (OPENCLAW_PROFILE=prod):

~/.openclaw/workspace-prod/X-knowledge/

Override with environment variable:

export OPENCLAW_WORKSPACE=/custom/path
node skills/x-bookmark-archiver/scripts/run.cjs
# Creates: /custom/path/X-knowledge/

Output Structure

~/.openclaw/workspace/X-knowledge/
├── tools/
│   ├── awesome-ai-project.md
│   └── useful-cli-tool.md
├── articles/
│   ├── how-to-build-x.md
│   └── ml-best-practices.md
├── videos/
│   └── conference-talk.md
├── research/
│   └── attention-is-all-you-need.md
├── news/
│   └── latest-tech-announcement.md
└── bookmarks/
    └── misc-link.md

Markdown Template

Each archived bookmark gets a markdown file with frontmatter:

---
title: "Awesome AI Project"
type: tool
date_archived: 2026-01-31
source_tweet: https://x.com/i/web/status/1234567890
link: https://github.com/user/repo
tags: ["ai", "machine-learning", "github"]
---

This project implements a novel approach to... (AI-generated summary)

State Management

State files track processing progress:

/root/clawd/.state/
├── x-bookmark-pending.json     # Bookmarks waiting to be processed
└── x-bookmark-processed.json   # IDs of already-archived bookmarks

Environment Variables

VariableRequiredDescription
---------------------------------
OPENAI_API_KEYNoAPI key for AI-generated summaries

Workflow

  1. Fetch: Downloads latest 50 bookmarks from X
  2. Filter: Removes already-processed bookmarks
  3. Expand: Resolves t.co shortened URLs
  4. Categorize: Assigns category based on URL domain
  5. Enrich: Generates title, summary, tags (AI or fallback)
  6. Write: Saves as markdown in X-knowledge/{category}/
  7. Track: Updates processed IDs, clears pending

Customization

Adding Categories

Edit scripts/lib/categorize.cjs:

const CATEGORIES = {
  tools: ['github.com', '...'],
  your_category: ['example.com', '...'],
  // ...
};

Changing Output Directory

Edit scripts/process.cjs:

const KNOWLEDGE_DIR = 'your-directory-name';

Using Different AI Provider

Modify the generateMetadata() function in scripts/process.cjs to use your preferred API.

Testing

Run the test suite:

# Run all tests
cd skills/x-bookmark-archiver/tests
node test-all.cjs

# Run individual test suites
node lib/categorize.test.cjs
node lib/state.test.cjs
node integration.test.cjs

Test Coverage

  • Unit tests: categorize.js (21 tests) - URL pattern matching
  • Unit tests: state.js (9 tests) - JSON read/write operations
  • Integration tests (12 tests) - Full pipeline with mock data

Manual Testing

Without bird CLI, you can test with mock data:

# Create mock pending data
cat > /tmp/test-pending.json << 'EOF'
[
  {
    "id": "test123",
    "url": "https://github.com/test/repo",
    "text": "Test bookmark"
  }
]
EOF

# Copy to state directory and process
mkdir -p /root/clawd/.state
cp /tmp/test-pending.json /root/clawd/.state/x-bookmark-pending.json
node skills/x-bookmark-archiver/scripts/process.cjs

Troubleshooting

IssueSolution
-----------------
bird: command not foundInstall bird CLI from GitHub releases
No bookmarks fetchedEnsure you're logged into X in bird
AI summaries not generatingCheck OPENAI_API_KEY is set
t.co links not expandingMay be network/timeout issues; will use original URL

File Structure

skills/x-bookmark-archiver/
├── SKILL.md
├── scripts/
│   ├── fetch.cjs          # Download bookmarks from X (CommonJS)
│   ├── process.cjs        # Generate markdown files (CommonJS)
│   ├── run.cjs            # Orchestrate fetch → process (CommonJS)
│   └── lib/
│       ├── categorize.cjs # URL → category mapping (CommonJS)
│       └── state.cjs      # JSON state management (CommonJS)
└── tests/
    ├── test-all.cjs
    ├── lib/
    │   ├── categorize.test.cjs
│   │   └── state.test.cjs
    ├── integration.test.cjs
    └── fixtures/
        └── sample-bookmarks.json

License

MIT

版本历史

共 1 个版本

  • v1.0.0 当前
    2026-03-28 15:39 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

🔗 相关推荐

ai-intelligence

ontology

oswalpalash
类型化知识图谱,用于结构化智能体记忆与可组合技能。支持创建/查询实体(人员、项目、任务、事件、文档)及关联...
★ 709 📥 243,539
ai-intelligence

Proactive Agent

halthelobster
将AI智能体从任务执行者升级为主动预判需求、持续优化的智能伙伴。集成WAL协议、工作缓冲区、自主定时任务及实战验证模式。Hal Stack核心组件 🦞
★ 834 📥 212,799
ai-intelligence

Self-Improving + Proactive Agent

ivangdavila
自我反思+自我批评+自我学习+自组织记忆。智能体评估自身工作、发现错误并持续改进。
★ 1,350 📥 317,717