linkedin-reader

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name: linkedin-reader description: > Read LinkedIn for financial research using opencli (read-only). Use this skill whenever the user wants to read their LinkedIn feed, search for jobs in the finance/trading industry, view professional posts about markets or earnings, or gather professional sentiment from LinkedIn. Triggers include: "check my LinkedIn feed", "search LinkedIn for", "LinkedIn posts about", "what's on LinkedIn about AAPL", "finance jobs on LinkedIn", "LinkedIn market sentiment", "who's posting about earnings on LinkedIn", "LinkedIn feed", "professional network buzz", "what are analysts saying on LinkedIn", any mention of LinkedIn in context of reading financial news, market research, job searches, or professional commentary. This skill is READ-ONLY — it does NOT support posting, liking, commenting, connecting, or any write operations.

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 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

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 linkedin.com	Login to linkedin.com in Chrome, then retry
AuthRequiredError	LinkedIn session expired — refresh linkedin.com in Chrome and log in again

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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.

User Request	Command	Key Flags
Setup check	opencli doctor	—
Home feed / posts	opencli linkedin timeline	--limit N
Search for jobs	opencli linkedin search "QUERY"	--location, --limit N, --details
Finance job search	opencli linkedin search "QUERY"	--experience-level, --job-type, --remote

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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)

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

Timeline posts include: rank, author, author_url, headline, text, posted_at, reactions, comments, url.

**Job se