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

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.

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 --filter — top (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)

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

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.