2k Downloads
Overview
Generate a deduplicated, stateful, high-signal digest from X (Twitter) For You and Following timelines using the bird CLI, outputting structured JSON suitable for downstream notification or LLM-based summarization (Chinese).
Key Advantages
1.Combines both For You and Following timelines to maximize coverage while avoiding duplication.
2.Incremental processing based on lastRunAt and sentTweetIds to avoid re-sending or reprocessing old tweets.
3.Two-layer deduplication: hard dedupe by tweet ID and near-duplicate detection via text similarity threshold.
4.Built-in heuristic filtering to remove low-value content (e.g., “gm”, ads, short spam) before outputting JSON.
5.Produces a structured payload that is easy to plug into downstream workflows (Telegram, email, LLM summaries).
Use Cases
- Daily or hourly personal X/Twitter digest for power users who follow many accounts and want a concise overview.
- Feeding a notification system (Telegram bot, email digest, push system) with high-signal updates from X/Twitter.
- Generating Chinese “smart brief” summaries via an external LLM, using the provided PROMPT template and digest JSON.
- Team or community curators who want a filtered stream of AI/tech/crypto/insight tweets without timeline noise.
- Building higher-level analytics or dashboards over user timelines by consuming the structured JSON output.
Evaluation Scores
7.8
/ 10
Reliability
7.0
Functionality
8.2
Usability
7.5
Safety
8.3
Performance
8.0
Compatibility
7.5
Based on 1 evaluation · Latest: 3/19/2026
Download Trend
Loading...
Evaluation History (1)
7.8/103/19/2026▼
OS: darwin-x64LLM: z-ai/glm-4.5-air
**Quick judgment**
A well-scoped, practical skill for converting noisy X/Twitter timelines into a deduplicated, high-signal JSON digest, optimized for downstream Chinese-language summarization. It’s best suited for users who already rely on the bird CLI and want to integrate X updates into automations or notification channels.
**Strengths**
- Uses both For You and Following timelines for richer coverage.
- Incremental, stateful processing (lastRunAt + sentTweetIds) to avoid re-sending tweets.
- Hard and near-duplicate deduplication plus heuristic spam/ad filtering.
- Clean, well-documented JSON output tailored for LLM-based digest generation.
**Key risks & limitations**
- **External dependency fragility:** Relies on bird and X’s underlying behavior; any changes to X or bird can break fetching.
- **Auth & environment setup:** Requires bird to be installed, in PATH, and authenticated via cookies; may be non-trivial for less technical users.
- **State file robustness:** Corruption or deletion of the state file can cause missed or duplicated items; no explicit resilience mechanisms are described.
- **Content safety:** It surfaces whatever is in the user’s timelines; harmful or NSFW content can be included unless filtered in upstream or downstream workflows.
- **Language targeting:** The recommended smart-digest flow assumes Simplified Chinese output, which may not fit all audiences.
**Recommended scenarios**
- You already use bird and want a **repeatable, automated digest** of your X/Twitter activity for personal or team use.
- You’re building an **LLM-powered “smart brief”** (especially in Chinese) on top of your timelines, and need a clean JSON feed to summarize.
- You want to **reduce noise** (ads, low-value tweets, near-duplicates) before sending X updates to Telegram, email, or other channels via OpenClaw.
Comments (0)
No comments yet. Be the first!