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Social Media Intelligence

Collect and analyze financial chatter from X, Telegram, Discord and Reddit for sentiment research

Source Download skill
Repository
HKUDS/Vibe-Trading
Stars
37,433
Licence
MIT
Files
1 file

What it does

This skill gives the agent a reference guide to financial discussion on Twitter/X, Telegram, Discord and Reddit, explaining which kinds of accounts and channels carry useful signals and how to structure collected posts. It includes example Python code for pulling tweets and Telegram channel messages and a standard JSON layout for storing them, so the agent can help build sentiment-driven trading research. The file is mostly guidance and code samples; it does not itself run anything.

Great for

  • Quant researchers testing whether social sentiment predicts asset moves
  • Developers building a pipeline to collect financial posts from social platforms
  • Traders who want to understand which social channels are noisy versus informative

Skip it if

  • Users seeking ready-made trading signals: the content is educational and does not provide tested strategies or returns, and social sentiment is easily manipulated
  • Anyone wanting to scrape platforms against their terms of service: the unofficial Nitter option is fragile and may violate platform rules
  • Collecting personal data about individual users: the schemas store usernames and follower counts, which raises privacy considerations

Try asking

  • “Show me how to collect recent tweets mentioning $AAPL and structure them as JSON”
  • “Explain which Reddit subreddits are most useful for crypto sentiment and why”
  • “Write a script that pulls messages from a Telegram whale alert channel for backtesting”
  • “Design a schema for storing Discord community activity alongside price data”
Step-by-step guide: how to use Social Media IntelligenceInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 1 original files, the MIT licence and an attribution note.

    social-media-intelligence.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip social-media-intelligence.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip social-media-intelligence.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Treat the example code as a starting point: confirm current API terms, pricing and library behaviour before running it
  • Keep API keys in environment variables and never paste them into chat
  • Use sentiment from signal channels and crypto KOLs as a contrarian or context input, not as a direct buy/sell trigger

What's inside

  • SKILL.md

Redistributed unmodified from HKUDS/Vibe-Trading under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.