twitter-reader

SKILL.md

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:

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

If SETUP_NEEDED, guide the user through setup:

Setup

opencli requires a Chrome browser with the Browser Bridge extension:

  1. Install the Browser Bridge extension — follow the instructions from opencli doctor output
  2. Login to x.com in Chrome — opencli reuses your existing browser session
  3. Verify connectivity:
opencli doctor

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

Common setup issues

Symptom Fix
Extension not connected Install Browser Bridge extension in Chrome and ensure it's enabled
Daemon not running Run opencli doctor — it auto-starts the daemon
No session for twitter.com Login to x.com in Chrome, then retry
CSRF token missing Refresh 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 Request Command Key Flags
Setup check opencli doctor
Home feed / timeline opencli twitter timeline --type following, --limit N
Search tweets opencli twitter search "QUERY" --filter top|live, --limit N
Trending topics opencli twitter trending --limit N
Bookmarks opencli twitter bookmarks --limit N
View a specific thread opencli twitter thread TWEET_ID
Twitter article opencli twitter article TWEET_ID
User profile opencli twitter profile USERNAME
Followers opencli twitter followers USERNAME --limit N
Following opencli twitter following USERNAME --limit N
Notifications opencli twitter notifications --limit N

Step 3: Execute the Command

General pattern

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

# 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)

Format Flag Best for
Table -f table (default) Human-readable terminal output
JSON -f json Programmatic processing, LLM context
YAML -f yaml Structured output, readable
Markdown -f md Documentation, reports
CSV -f csv Spreadsheet export

Output columns

Commands that return tweets typically include: id, author, text, created_at, likes, views, url.

Profile commands include: username, name, bio, followers_count, following_count.


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:

opencli doctor

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


Error Reference

Error Cause Fix
Extension not connected Browser Bridge not installed/enabled Install extension and enable it in Chrome
No session Not logged into x.com Login to x.com in Chrome
CSRF token missing Cookie expired or page needs refresh Refresh x.com in Chrome
Rate limited Too many requests Wait 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.

Weekly Installs
146
GitHub Stars
749
First Seen
14 days ago
Installed on
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