LinkedIn Skill (Read-Only)

Reads LinkedIn 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: reading professional commentary on markets, monitoring analyst posts, searching finance/trading jobs, and tracking professional sentiment. It does NOT support posting, liking, commenting, connecting, messaging, or any write operations.

Important: opencli reuses your existing Chrome login session — no API keys or cookie extraction needed. Just be logged into linkedin.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

NOT_INSTALLED

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

If

SETUP_NEEDED

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 linkedin.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

Extension not connected

Daemon not running

opencli doctor

No session for linkedin.com

AuthRequiredError

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

opencli doctor

opencli linkedin timeline

--limit N

opencli linkedin search "QUERY"

--location

--limit N

--details

opencli linkedin search "QUERY"

--experience-level

--job-type

--remote

Step 3: Execute the Command

General pattern

# Read LinkedIn feed posts
opencli linkedin timeline --limit 20 -f json

# Search for finance/trading jobs
opencli linkedin search "quantitative analyst" --limit 10 -f json
opencli linkedin search "portfolio manager" --location "New York" --limit 15 -f json

# Detailed job listings with descriptions
opencli linkedin search "financial analyst" --details --limit 10 -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 job search, use filters —

   --location

   ,

   --experience-level

   ,

   --job-type

   ,

   --remote

   ,

   --date-posted

   to narrow results
6. NEVER execute write operations — this skill is read-only; do not post, like, comment, connect, message, or apply to jobs

Output format flag (

-f

)

-f table

-f json

-f yaml

-f md

-f csv

Output columns

Timeline posts include:

rank

author

author_url

headline

text

posted_at

reactions

comments

url

Job search results include:

rank

title

company

location

listed

salary

url

--details

description

apply_url

Step 4: Present the Results

After fetching data, present it clearly for financial research:

1. Summarize key content — highlight the most relevant posts or jobs for the user's research
2. Include attribution — show author name, headline, post text, and engagement (reactions, comments)
3. Provide URLs when the user might want to read the full post or job listing
4. For feed posts, highlight market commentary, analyst takes, earnings reactions, and professional sentiment
5. For job search results, present title, company, location, salary (when available), and posting date
6. Flag sentiment — note bullish/bearish professional 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

Extension not connected

No session

AuthRequiredError

EmptyResultError

Reference Files

• references/commands.md

  — Complete read command reference with all flags, research workflows, and usage examples

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