bestblogs-process-tweets

BestBlogs Batch Deep-Analysis Workflow for Tweets

Skill Overview

The BestBlogs Batch Deep-Analysis Workflow for Tweets is an automated tool for processing Twitter content. It queries the list of tweets awaiting analysis, groups them by author for batch processing, automatically scores and categorizes them, and saves the structured results, helping BestBlogs administrators efficiently process large volumes of tweets.

Use Cases

1. Batch Analysis of Tweets Awaiting Processing

When you need to process a large backlog of tweets awaiting analysis in BestBlogs, this workflow automatically retrieves all pending content, displays it grouped by author, and supports selective or full processing, significantly improving content-processing efficiency.

2. Batch Evaluation of Tweet Quality by Author

For multiple tweets from the same source, the workflow constructs all of the author’s tweets into a unified XML input, performs batch analysis in one pass, and generates structured results for each tweet, including a title, summary, tags, domain category, and quality score.

3. Quick Mode for Processing All Tweets

When you already know the scope to be processed, you can use quick mode to skip the confirmation step. For example, entering “process all tweets” automatically processes tweets from all authors, while “process the first 5 authors” processes the content of the first five authors ranked by tweet count.

Core Features

1. Automatic Tweet Scoring and Categorization

Based on the unified scoring rules (docs/scoring-rubric.md), the workflow independently evaluates each tweet and generates a quality score from 0 to 100. It automatically identifies the relevant domain—AI, programming, product design, or business technology—and extracts the tweet’s title, one-sentence summary, content summary, and tags. All output remains in the same language as the original text.

2. Batch Processing by Author

All tweets from the same author are grouped together and constructed into XML-formatted input compatible with the analysis system. The input includes source metadata, tweet text, engagement data, and media information. Once analysis is complete, the results are saved to BestBlogs in batches by author, ensuring a one-to-one correspondence with tweet IDs and preventing data mix-ups.

3. Complete Workflow and Error Handling

The entire process consists of four stages: querying the tweet list → displaying tweets grouped by author → processing each author (constructing XML → batch analysis → saving results) → outputting the final results. The workflow provides detailed progress tracking, score statistics, and a leaderboard of high-scoring tweets. It also includes comprehensive error handling, with automatic fallback behavior and error messages for scenarios such as API exceptions, ID validation failures, and missing environment variables.

Frequently Asked Questions

How can I batch-analyze tweets awaiting analysis in BestBlogs?

Make sure the environment variables BESTBLOGS_ADMIN_USER_ID and BESTBLOGS_ADMIN_JWT_TOKEN are configured, then trigger the workflow. In Stage One, the workflow automatically retrieves all tweets awaiting analysis—up to 500—and displays them grouped by author. You can then choose “all” or specify the author numbers to process. Each author’s analysis results are automatically saved to BestBlogs.

What is BestBlogs’ automatic tweet-scoring system?

Scoring is based on the unified rules in docs/scoring-rubric.md, which evaluate content across multiple dimensions, including originality, information density, usefulness, and readability, to produce a quality score from 0 to 100. For scores of 85 or higher, an additional self-check checklist is performed to ensure scoring accuracy. The system also identifies the tweet’s domain—such as AI, programming, or product design—and its AI subcategory—such as model development, products, or news—while extracting a title, summary, and tags in the original language.

How can I use quick mode to process all tweets without confirmation?

Specify the processing scope clearly when triggering the workflow to skip Stage Two’s confirmation step. For example, entering “process all tweets” causes the workflow to process all authors directly after retrieving the tweet list. Entering “process the first 5 authors” processes the first five authors ranked by tweet count. Quick mode still outputs a summary of the author list, including the total number of authors and tweets, but does not wait for user selection; it immediately begins batch analysis and saves the results.