Social Data logo

Social Data

OrganizationPopular
Bitterbot-AI
social-data

Search and fetch social media data from Twitter/X, Reddit, and Hacker News.

Overview

PublisherBitterbot-AI
Repositorybitterbot-desktop
Skill namesocial-data
Stars
2.5K
Forks
418
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Bitterbot-AI on GitHub. Read the source before you install it.

Installation

Install the Social Data AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Bitterbot-AI/bitterbot-desktop.git /tmp/bitterbot-desktop
mkdir -p .claude/skills
cp -r /tmp/bitterbot-desktop/skills/social-data .claude/skills/social-data
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Social Data in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Social Data on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Social Data is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Social Data

Access social media content from multiple platforms. Some require API keys, some are free.

Hacker News (free, no key)

Top Stories

bash
curl -s "https://hacker-news.firebaseio.com/v0/topstories.json" | head -c 200

Returns array of item IDs. Fetch individual items:

bash
curl -s "https://hacker-news.firebaseio.com/v0/item/12345678.json"

Search (via Algolia, free)

bash
curl -s "https://hn.algolia.com/api/v1/search?query=rust+programming&tags=story&hitsPerPage=10"
  • tags: story, comment, ask_hn, show_hn, poll
  • numericFilters: created_at_i>1700000000 (Unix timestamp)
  • Response: hits[] array with title, url, author, points, num_comments

Front Page

bash
curl -s "https://hn.algolia.com/api/v1/search?tags=front_page&hitsPerPage=30"

Reddit (free, no key for public data)

Subreddit Posts

bash
curl -s "https://www.reddit.com/r/programming/hot.json?limit=10" \
  -H "User-Agent: bitterbot/1.0"

Sort options: hot, new, top, rising For top: add ?t=hour|day|week|month|year|all

Search Reddit

bash
curl -s "https://www.reddit.com/search.json?q=rust+async&sort=relevance&limit=10" \
  -H "User-Agent: bitterbot/1.0"

Post Comments

bash
curl -s "https://www.reddit.com/r/programming/comments/POST_ID.json" \
  -H "User-Agent: bitterbot/1.0"

Response is array of two listings: [0] = post, [1] = comments tree.

User Profile (public)

bash
curl -s "https://www.reddit.com/user/USERNAME/submitted.json?limit=10" \
  -H "User-Agent: bitterbot/1.0"

Twitter/X (requires API key)

Requires TWITTER_BEARER_TOKEN env var (from X Developer Portal).

Search Recent Tweets

bash
curl -s "https://api.twitter.com/2/tweets/search/recent?query=from:elonmusk&max_results=10&tweet.fields=created_at,public_metrics" \
  -H "Authorization: Bearer $TWITTER_BEARER_TOKEN"

Query operators:

  • from:username — tweets by user
  • to:username — replies to user
  • #hashtag — hashtag search
  • "exact phrase" — exact match
  • -is:retweet — exclude retweets
  • lang:en — language filter
  • has:media — tweets with media

User Lookup

bash
curl -s "https://api.twitter.com/2/users/by/username/elonmusk?user.fields=public_metrics,description,created_at" \
  -H "Authorization: Bearer $TWITTER_BEARER_TOKEN"

User Timeline

bash
curl -s "https://api.twitter.com/2/users/USER_ID/tweets?max_results=10&tweet.fields=created_at,public_metrics" \
  -H "Authorization: Bearer $TWITTER_BEARER_TOKEN"

Tips

  • Always include User-Agent header for Reddit (they block default agents).
  • Reddit JSON endpoints append .json to any Reddit URL.
  • HN Algolia API is the most reliable for search; Firebase API for real-time data.
  • Twitter free tier allows 500K tweets/month read access.
  • For rate-limited APIs, cache results and avoid repeated identical queries.
  • Use web_fetch for HTML pages, exec + curl for JSON APIs.

Frequently asked questions

What does the Social Data AI skill do?

Search and fetch social media data from Twitter/X, Reddit, and Hacker News.

Why use Social Data on TypingMind?

Because you install it once and use it with any model. Social Data is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Social Data in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Bitterbot-AI/bitterbot-desktop/tree/main/skills/social-data. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Social Data?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Social Data?

As many as you like. As long as a model supports skills, you can use Social Data with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Social Data AI skill free?

Yes. It is published on GitHub by Bitterbot-AI under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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