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Twitter Reader

CommunityPopular
himself65
twitter-reader

Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my bookmarks", "who follows", "look up @user", "what's trending about", "market sentiment on Twitter", "what are people saying about AAPL", "recent tweets from @elonmusk", "show me @user's posts", "fintwit", any mention of Twitter/X in context of reading financial news or market research. This skill is READ-ONLY — it does NOT support posting, liking, retweeting, or any write operations.

Overview

Publisherhimself65
Repositoryfinance-skills
Skill nametwitter-reader
Stars
3.3K
Forks
378
Bundled files
2
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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by himself65 on GitHub. Read the source before you install it.

Installation

Install the Twitter Reader 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/himself65/finance-skills.git /tmp/finance-skills
mkdir -p .claude/skills
cp -r /tmp/finance-skills/plugins/social-readers/skills/twitter-reader .claude/skills/twitter-reader
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Twitter Reader 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 Twitter Reader 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 Twitter Reader 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.

Twitter Skill (Read-Only)

Reads Twitter/X for financial research using opencli, a universal CLI tool that bridges web services to the terminal via browser session reuse.

This skill is read-only. It is designed for financial research: searching market discussions, reading analyst tweets, tracking sentiment, and monitoring financial news on Twitter/X. It does NOT support posting, liking, retweeting, replying, or any write operations.

Important: opencli reuses your existing Chrome login session — no API keys or cookie extraction needed. Just be logged into x.com in Chrome and have the Browser Bridge extension installed.


Step 1: Ensure opencli Is Installed and Ready

Current environment status:

!`(command -v opencli && opencli doctor 2>&1 | head -5 && echo "READY" || echo "SETUP_NEEDED") 2>/dev/null || echo "NOT_INSTALLED"`

If the status above shows READY, skip to Step 2. If NOT_INSTALLED, install first:

bash
# Install opencli globally
npm install -g @jackwener/opencli

If SETUP_NEEDED, guide the user through setup:

Setup

opencli requires Node.js >= 20 and a Chrome browser with the Browser Bridge extension:

  1. Install the Browser Bridge extension:
    • Download the latest opencli-extension-v{version}.zip from the GitHub Releases page
    • Unzip it, open chrome://extensions in Chrome, and enable Developer mode
    • Click Load unpacked and select the unzipped folder
  2. Login to x.com in Chrome — opencli reuses your existing browser session
  3. Verify connectivity:
bash
opencli doctor

This auto-starts the daemon, verifies the extension is connected, and checks session health.

Common setup issues

SymptomFix
Extension not connectedInstall Browser Bridge extension in Chrome and ensure it's enabled
Daemon not runningRun opencli doctor — it auto-starts the daemon
No session for twitter.comLogin to x.com in Chrome, then retry
CSRF token missingRefresh x.com in Chrome to regenerate the ct0 cookie

Step 2: Identify What the User Needs

Match the user's request to one of the read commands below, then use the corresponding command from references/commands.md.

User RequestCommandKey Flags
Setup checkopencli doctor
Home feed / timelineopencli twitter timeline--type for-you|following, --limit N (default 20)
Search tweetsopencli twitter search "QUERY"--filter top|live, --limit N (default 15)
Trending topicsopencli twitter trending--limit N (default 20)
Bookmarksopencli twitter bookmarks--limit N (default 20)
Recent tweets from a useropencli twitter tweets USERNAME--limit N (default 20)
View a specific threadopencli twitter thread TWEET_ID--limit N (default 50)
Twitter articleopencli twitter article TWEET_ID
User profileopencli twitter profile USERNAME— (defaults to logged-in user)
Followersopencli twitter followers USERNAME--limit N (default 50)
Followingopencli twitter following USERNAME--limit N (default 50)
Notificationsopencli twitter notifications--limit N (default 20)

Step 3: Execute the Command

General pattern

bash
# Use -f json or -f yaml for structured output
opencli twitter timeline -f json --limit 20
opencli twitter timeline --type following --limit 20

# Recent tweets from a specific user
opencli twitter tweets elonmusk --limit 20 -f json

# Searching for financial topics
opencli twitter search "$AAPL earnings" --filter live --limit 10 -f json
opencli twitter search "Fed rate decision" --limit 20 -f yaml

# Trending topics
opencli twitter trending --limit 20 -f json

Key rules

  1. Check setup first — run opencli doctor before any other command if unsure about connectivity
  2. Use -f json or -f yaml for structured output when processing data programmatically
  3. Use -f csv when the user wants spreadsheet-compatible output
  4. Use --limit N to control result count — start with 10-20 unless the user asks for more
  5. For search, use --filtertop (default) for relevance, live for latest tweets
  6. NEVER execute write operations — this skill is read-only; do not post, like, retweet, reply, quote, follow, or delete

Output format flag (-f)

FormatFlagBest for
Table-f table (default)Human-readable terminal output
JSON-f jsonProgrammatic processing, LLM context
YAML-f yamlStructured output, readable
Markdown-f mdDocumentation, reports
CSV-f csvSpreadsheet export

Output columns

Tweet-listing commands (timeline, search, thread) include: id, author, text, created_at, likes, retweets, replies, views, url, has_media, media_urls.

tweets (per-user posts) also includes is_retweet.

bookmarks columns: author, text, likes, retweets, bookmarks, url.

trending columns: rank, topic, tweets, category.

Profile (profile) columns: screen_name, name, bio, location, url, followers, following, tweets, likes, verified, created_at.

followers / following columns: screen_name, name, bio, followers.

notifications columns: id, action, author, text, url.


Step 4: Present the Results

After fetching data, present it clearly for financial research:

  1. Summarize key content — highlight the most relevant tweets for the user's financial research
  2. Include attribution — show @username, tweet text, and engagement metrics (likes, views)
  3. Provide tweet URLs when the user might want to read the full thread
  4. For search results, group by relevance and highlight key themes, sentiment, or market signals
  5. For user profiles, present follower count, bio, and notable recent activity
  6. Flag sentiment — note bullish/bearish sentiment, consensus vs contrarian views
  7. Treat sessions as private — never expose browser session details

Step 5: Diagnostics

If something isn't working, run:

bash
opencli doctor

This checks daemon status, extension connectivity, and browser session health.


Error Reference

ErrorCauseFix
Extension not connectedBrowser Bridge not installed/enabledInstall extension and enable it in Chrome
No sessionNot logged into x.comLogin to x.com in Chrome
CSRF token missingCookie expired or page needs refreshRefresh x.com in Chrome
Rate limitedToo many requestsWait a few minutes, then retry

Reference Files

  • references/commands.md — Complete read command reference with all flags, research workflows, and usage examples
  • references/schema.md — Output format documentation and column definitions

Read the reference files when you need exact command syntax, research workflow patterns, or output details.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Twitter Reader AI skill do?

Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my bookmarks", "who follows", "look up @user", "what's trending about", "market sentiment on Twitter", "what are people saying about AAPL", "recent tweets from @elonmusk", "show me @user's posts", "fintwit", any mention of Twitter/X in context of reading financial news or market research. T...

Why use Twitter Reader on TypingMind?

Because you install it once and use it with any model. Twitter Reader 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 Twitter Reader in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/himself65/finance-skills/tree/main/plugins/social-readers/skills/twitter-reader. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Twitter Reader?

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 Twitter Reader?

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

Is the Twitter Reader AI skill free?

Yes. It is published on GitHub by himself65 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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