twitterscore_skill

Overview

This skill integrates with the TwitterScore.io API to research and monitor Twitter influence. It fetches account scores, analyzes follower composition, tracks follower and score history, and compares multiple accounts. Set an API key to run queries, bulk checks, and exports.

How this skill works

The skill calls TwitterScore.io endpoints to retrieve scores, follower lists, categories, tags, history, and rate-limit info. It supports single and bulk lookups, paginated follower queries, category/tag filtering, and exports to JSON or CSV. Built-in commands summarize score diffs, follower analysis, and historical growth for easy tracking.

When to use it

• Evaluate the influence of a Twitter account or competitor.
• Compare scores across multiple accounts in bulk to prioritize outreach.
• Analyze follower composition by category or tag to find relevant audiences.
• Track follower growth and score changes over time for campaigns.
• Export follower lists or growth history for reporting or downstream analysis.

Best practices

• Set TWITTERSCORE_API_KEY in your environment or pass --api-key to avoid failures.
• Use bulk for checking many accounts to reduce request volume and stay within rate limits.
• Cache frequent queries and limit page/size to avoid reaching 60 requests/minute.
• Filter followers by category or tag to focus on high-value segments (VCs, influencers, projects).
• Export CSV/JSON when sharing results or feeding other analytics tools.

Example use cases

• Research top venture capital or influencer accounts with twitterscore score and analyze their follower categories.
• Run twitterscore bulk to get scores for competitors and prioritize outreach lists.
• Use twitterscore followers with --top and --category to build an influencer list for a campaign.
• Track campaign impact by exporting history before and after marketing with twitterscore history --export.
• Monitor API usage and limits with twitterscore limits to avoid interruptions.