Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Fetch your X bookmarks, auto-categorize by URL, generate AI summaries, and save organized markdown archives in your OpenClaw workspace.
Fetch your X bookmarks, auto-categorize by URL, generate AI summaries, and save organized markdown archives in your OpenClaw workspace.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Archive your X (Twitter) bookmarks into categorized markdown files with AI-generated summaries.
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.
bird CLI - Install from steipete/bird OpenAI API Key (optional) - Set OPENAI_API_KEY for AI-generated summaries Node.js 18+
# Ensure bird CLI is installed and authenticated bird --version # Set OpenAI API key (optional, for AI summaries) export OPENAI_API_KEY="sk-..."
Fetches new bookmarks and processes them: node skills/x-bookmark-archiver/scripts/run.cjs
Skip fetch, process only pending bookmarks: node skills/x-bookmark-archiver/scripts/run.cjs --force
node skills/x-bookmark-archiver/scripts/fetch.cjs
node skills/x-bookmark-archiver/scripts/process.cjs
Bookmarks are automatically categorized based on URL patterns: CategoryDomainstoolsgithub.com, gitlab.com, github.io, huggingface.co, replicate.com, vercel.com, npmjs.com, pypi.orgarticlesmedium.com, substack.com, dev.to, hashnode.dev, x.com/i/article, blog.*, towardsdatascience.comvideosyoutube.com, youtu.be, vimeo.com, twitch.tvresearcharxiv.org, paperswithcode.com, semanticscholar.org, researchgate.net, dl.acm.org, ieee.orgnewstechcrunch.com, theverge.com, hn.algolia.com, news.ycombinator.com, wired.com, arstechnica.combookmarksfallback for unmatched URLs
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/
~/.openclaw/workspace/X-knowledge/ โโโ tools/ โ โโโ awesome-ai-project.md โ โโโ useful-cli-tool.md โโโ articles/ โ โโโ how-to-build-x.md โ โโโ ml-best-practices.md โโโ videos/ โ โโโ conference-talk.md โโโ research/ โ โโโ attention-is-all-you-need.md โโโ news/ โ โโโ latest-tech-announcement.md โโโ bookmarks/ โโโ misc-link.md
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 files track processing progress: /root/clawd/.state/ โโโ x-bookmark-pending.json # Bookmarks waiting to be processed โโโ x-bookmark-processed.json # IDs of already-archived bookmarks
VariableRequiredDescriptionOPENAI_API_KEYNoAPI key for AI-generated summaries
Fetch: Downloads latest 50 bookmarks from X Filter: Removes already-processed bookmarks Expand: Resolves t.co shortened URLs Categorize: Assigns category based on URL domain Enrich: Generates title, summary, tags (AI or fallback) Write: Saves as markdown in X-knowledge/{category}/ Track: Updates processed IDs, clears pending
Edit scripts/lib/categorize.cjs: const CATEGORIES = { tools: ['github.com', '...'], your_category: ['example.com', '...'], // ... };
Edit scripts/process.cjs: const KNOWLEDGE_DIR = 'your-directory-name';
Modify the generateMetadata() function in scripts/process.cjs to use your preferred API.
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
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
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
IssueSolutionbird: command not foundInstall bird CLI from GitHub releasesNo bookmarks fetchedEnsure you're logged into X in birdAI summaries not generatingCheck OPENAI_API_KEY is sett.co links not expandingMay be network/timeout issues; will use original URL
skills/x-bookmark-archiver/ โโโ SKILL.md โโโ scripts/ โ โโโ fetch.cjs # Download bookmarks from X (CommonJS) โ โโโ process.cjs # Generate markdown files (CommonJS) โ โโโ run.cjs # Orchestrate fetch โ process (CommonJS) โ โโโ lib/ โ โโโ categorize.cjs # URL โ category mapping (CommonJS) โ โโโ state.cjs # JSON state management (CommonJS) โโโ tests/ โโโ test-all.cjs โโโ lib/ โ โโโ categorize.test.cjs โ โ โโโ state.test.cjs โโโ integration.test.cjs โโโ fixtures/ โโโ sample-bookmarks.json
MIT
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Largest current source with strong distribution and engagement signals.