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Add x-twitter-scraper skill: X (Twitter) data platform for AI agents#1237

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Add x-twitter-scraper skill: X (Twitter) data platform for AI agents#1237
kriptoburak wants to merge 1 commit intogithub:stagedfrom
kriptoburak:add-x-twitter-scraper-skill

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Summary

  • Adds the x-twitter-scraper skill — an X (Twitter) data platform skill for AI coding agents
  • 120 REST API endpoints across 12 categories, 2 MCP tools, HMAC webhooks, 23 bulk extraction tools, and write actions
  • Reads from $0.00015/call — the cheapest X data API on the market
  • Includes 10 reference files: API endpoints, extractions, webhooks, MCP setup/tools, pricing, workflows, draws, types, and Python examples
  • Source repo: Xquik-dev/x-twitter-scraper
  • MIT licensed

Skill capabilities

Area Details
REST API 120 endpoints (tweets, users, search, write, monitors, webhooks, extractions, draws, compose, credits, support, automations)
MCP Server 2 tools (explore + xquik) at https://xquik.com/mcp (StreamableHTTP)
Data Extraction 23 bulk extraction tools (replies, retweets, quotes, favoriters, threads, articles, followers, communities, lists, Spaces, and more)
Write Actions Post/delete tweets, like/unlike, retweet, follow/unfollow, DM, profile update, media upload, community actions
Monitoring Real-time account tracking with HMAC-signed webhook delivery
Giveaway Draws Random winner selection from tweet replies with 11 filter options
Pay-Per-Use Credit top-ups via Stripe or anonymous USDC payments via MPP

Test plan

  • npm run skill:validate passes (all 258 skills valid)
  • npm start regenerates README with x-twitter-scraper entry
  • Skill follows Agent Skills specification (frontmatter with name + description)
  • No compiled/generated files outside of docs/README.skills.md
  • Branch created from staged

120 REST API endpoints, 2 MCP tools, HMAC webhooks, 23 bulk extraction
tools, and write actions. Reads from $0.00015/call. Includes reference
docs for API endpoints, extractions, webhooks, MCP setup, pricing,
workflows, draws, types, and Python examples.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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🔍 Skill Validator Results

2 resource(s) checked | ✅ All checks passed

Full output
Found 1 skill(s)
[x-twitter-scraper] 📊 x-twitter-scraper: 3,244 BPE tokens [chars/4: 2,991] (standard ~), 19 sections, 6 code blocks
[x-twitter-scraper]    ⚠  Skill is 3,244 BPE tokens (chars/4 estimate: 2,991) — approaching "comprehensive" range where gains diminish.
[x-twitter-scraper]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
�[32m✅ All checks passed (1 skill(s))�[0m

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