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name: x-timeline-digest version: 1.0.2 description: Build a deduplicated digest from X (Twitter) For You and Following timelines using bird. Outputs a payload for upstream delivery. homepage: https://github.com/seandong metadata: {"openclaw":{"emoji":"🐦","requires":{"bins":["bird"]}}}

x-timeline-digest

Overview

This skill uses bird to read X/Twitter timelines and build a high-signal digest. Sources:

• For You timeline
• Following timeline What it does:

1. Fetch recent tweets
2. Filter incrementally (avoid reprocessing)
3. Deduplicate (ID + near-duplicate text)
4. Rank and trim
5. Generate a Chinese digest
6. Output a structured payload

Delivery (Telegram, email, etc.) is NOT handled here. Upstream OpenClaw workflows decide how to notify users.

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Configuration

All config is read from: skills.entries["x-timeline-digest"].config

Config fields

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Dependencies

• bird must be installed and available in PATH
• bird must already be authenticated (cookie login)
• Read-only usage

Usage

1. Basic (Raw JSON)

Run the digest generator to get a clean, deduplicated JSON payload:

node skills/x-timeline-digest/digest.js

2. Intelligent Digest (Recommended)

To generate the "Smart Brief" (Categorized, Summarized, Denoised):

1. Run the script: node skills/x-timeline-digest/digest.js > digest.json
2. Read the prompt template: read skills/x-timeline-digest/PROMPT.md
3. Send the prompt to your LLM, injecting the content of digest.json where {{JSON_DATA}} is.

Note: The script automatically applies heuristic filtering (removes "gm", ads, short spam) before outputting JSON.

Bird Commands Used

For You timeline: bird home -n <N> --json Following timeline: bird home --following -n <N> --json

State Management

State is persisted to statePath.

State structure

{ "lastRunAt": "2026-02-01T00:00:00+08:00", "sentTweetIds": { "123456789": "2026-02-01T00:00:00+08:00" } }

Rules

• Tweets already in sentTweetIds must not be included again
• After a successful run:
• Update lastRunAt
• Add pushed tweet IDs to sentTweetIds
• Keep IDs for at least 30 days

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Processing Pipeline

1. Fetch from For You and Following
2. Incremental filter using lastRunAt
3. Hard deduplication by tweet id
4. Near-duplicate merge using text similarity
5. Rank and trim to maxItemsPerDigest
6. Generate a Categorized Chinese Digest (via PROMPT.md + LLM)
   • Categories: 🤖 AI & Tech, 💰 Crypto & Markets, 💡 Insights, 🗞️ Other
   • Language: Simplified Chinese
   • Format: Author: Summary
   • Denoising: Remove ads and low-value content

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Output

The skill returns one JSON object: { "window": { "start": "2026-02-01T00:00:00+08:00", "end": "2026-02-01T06:00:00+08:00", "intervalHours": 6 }, "counts": { "forYouFetched": 100, "followingFetched": 60, "afterIncremental": 34, "afterDedup": 26, "final": 20 }, "digestText": "中文摘要内容", "items": [ { "id": "123456", "author": "@handle", "createdAt": "2026-02-01T02:15:00+08:00", "text": "tweet text", "url": "https://x.com/handle/status/123456", "sources": ["following"] } ] }