Linkedin Reader

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.

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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 Node.js >= 21 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 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

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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.

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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)

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. With --details: also description, apply_url.

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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

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Step 5: Diagnostics

If something isn't working, run:

opencli doctor

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

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Error Reference

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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.

linkedin-reader

Read-only LinkedIn skill for financial research using opencli.

What it does

Reads LinkedIn for financial research — reading professional market commentary, monitoring analyst posts, searching finance/trading jobs, and tracking professional sentiment. Capabilities include:

• Home feed / timeline — read posts from your LinkedIn feed (author, headline, text, reactions, comments)
• Job search — search LinkedIn job listings with filters for location, experience level, job type, remote/hybrid, date posted, and company

This skill is read-only. It does NOT support posting, liking, commenting, connecting, messaging, or any write operations.

Authentication

No API keys needed — opencli reuses your existing Chrome browser session via the Browser Bridge extension. Just be logged into linkedin.com in Chrome.

Triggers

• "check my LinkedIn feed", "LinkedIn posts about", "what's on LinkedIn"
• "search LinkedIn for jobs", "finance jobs on LinkedIn", "quant jobs"
• "LinkedIn market sentiment", "what are analysts saying on LinkedIn"
• "who's hiring in finance", "professional network buzz"
• Any mention of LinkedIn in context of financial news, market research, or job searches

Platform

Works on Claude Code and other CLI-based agents. Does not work on Claude.ai — the sandbox restricts network access and binaries required by opencli.

Setup

# As a plugin (recommended — installs all skills)
npx plugins add himself65/finance-skills --plugin finance-social-readers

# Or install just this skill
npx skills add himself65/finance-skills --skill linkedin-reader

See the main README for more installation options.

Prerequisites

• Node.js >= 21 (for npm install -g @jackwener/opencli)
• Chrome with the Browser Bridge extension installed (load unpacked from chrome://extensions in Developer mode)
• Logged into linkedin.com in Chrome

Reference files

• references/commands.md — Complete read command reference with all flags, research workflows, and usage examples

opencli LinkedIn Command Reference (Read-Only)

Complete read-only reference for LinkedIn commands in opencli, scoped to financial research use cases.

Install: npm install -g @jackwener/opencli

This skill is read-only. Write operations (posting, liking, commenting, connecting, messaging) are NOT supported in this finance skill.

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Setup

opencli authenticates via your existing Chrome browser session — no API keys or credentials needed.

Requirements: 1. Node.js >= 21 (or Bun >= 1.0) 2. Chrome with the Browser Bridge extension installed 3. Logged into linkedin.com in Chrome

Install the Browser Bridge extension: 1. Download opencli-extension-v{version}.zip from the GitHub Releases page 2. Unzip it, open chrome://extensions, enable Developer mode 3. Click Load unpacked and select the unzipped folder

Verify setup:

opencli doctor

This auto-starts the daemon, verifies extension connectivity, and checks browser session health.

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Read Operations

Timeline (Home Feed)

Reads posts from your LinkedIn home feed by scrolling and extracting visible posts.

opencli linkedin timeline                         # Last 20 posts (default)
opencli linkedin timeline --limit 50              # Up to 50 posts (max 100)
opencli linkedin timeline -f json                 # JSON output
opencli linkedin timeline -f yaml                 # YAML output
opencli linkedin timeline -f csv                  # CSV output

Output columns: rank, author, author_url, headline, text, posted_at, reactions, comments, url

Job Search

Searches LinkedIn job listings by keyword with optional filters.

opencli linkedin search "keyword"                 # Basic job search (10 results)
opencli linkedin search "quantitative analyst" --limit 20        # More results
opencli linkedin search "trader" --location "Chicago" -f json    # Filter by location
opencli linkedin search "financial analyst" --details -f json    # Full descriptions

# Filter by experience level
opencli linkedin search "portfolio manager" --experience-level mid-senior -f json

# Filter by job type
opencli linkedin search "risk analyst" --job-type full-time -f json

# Filter by work mode
opencli linkedin search "data scientist finance" --remote remote -f json

# Filter by date posted
opencli linkedin search "hedge fund" --date-posted week -f json

# Combine filters
opencli linkedin search "investment banking" \
  --location "New York" \
  --experience-level associate \
  --job-type full-time \
  --date-posted month \
  --details \
  --limit 20 \
  -f json

Flags:

Output columns: rank, title, company, location, listed, salary, url

With --details: also description, apply_url

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Output Formats

All commands support the -f / --format flag:

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Financial Research Workflows

Read professional market commentary

# Read your LinkedIn feed for analyst posts and market takes
opencli linkedin timeline --limit 30 -f json

Search for finance industry jobs

# Quantitative roles
opencli linkedin search "quantitative analyst" --location "New York" --details --limit 15 -f json
opencli linkedin search "quant trader" --experience-level mid-senior --limit 10 -f json

# Portfolio management
opencli linkedin search "portfolio manager" --job-type full-time --limit 15 -f json

# Risk and compliance
opencli linkedin search "risk analyst" --date-posted week --limit 10 -f json
opencli linkedin search "compliance officer fintech" --limit 10 -f json

Track hiring trends at specific companies

opencli linkedin search "analyst" --company "Goldman Sachs" --limit 20 -f json
opencli linkedin search "engineer" --company "Citadel,Two Sigma,Jane Street" --limit 20 -f json

Remote finance opportunities

opencli linkedin search "financial analyst" --remote remote --limit 20 -f json
opencli linkedin search "data scientist trading" --remote hybrid --location "Chicago" --limit 10 -f json

Entry-level finance positions

opencli linkedin search "investment banking analyst" --experience-level entry --date-posted month --limit 15 -f json
opencli linkedin search "junior trader" --experience-level entry --limit 10 -f json

Export for analysis

# CSV for spreadsheet analysis
opencli linkedin search "hedge fund" --limit 50 -f csv > hedge_fund_jobs.csv

# JSON for programmatic processing
opencli linkedin timeline --limit 30 -f json > linkedin_feed.json

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Error Reference

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Limitations

• Read-only in this skill — write operations are not supported for finance use
• No profile lookups — individual user/company profile viewing is not yet supported
• No messaging — LinkedIn messages/InMail are not accessible
• No connection management — cannot view, send, or manage connection requests
• No notifications — LinkedIn notifications are not exposed
• Job search only — search is scoped to job listings, not posts or people
• Requires Chrome — opencli uses Chrome's Browser Bridge; other browsers are not supported
• Single browser profile — uses the active Chrome profile's session

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Best Practices

• Keep request volumes low — use --limit 20 instead of --limit 100
• Use `opencli doctor` before your first command in a session to verify connectivity
• Use `-f json` for programmatic processing and LLM context
• Use `-f csv` when the user wants to analyze data in a spreadsheet
• Use `--details` only when you need full job descriptions — it's slower since it fetches each listing individually
• Use `--date-posted week` or `--date-posted 24h` for time-sensitive job market research