Reads your LinkedIn feed and searches jobs using opencli, which reuses your existing Chrome session so you don't need API keys or cookie exports. Built specifically for financial research: scanning analyst posts about markets, tracking professional sentiment on stocks, searching finance and trading jobs. It's read-only by design, no posting or liking. You run commands like `opencli linkedin timeline` or `opencli linkedin search "quantitative analyst"` and get back JSON, CSV, or markdown with post text, engagement metrics, job details, and URLs. Requires the Browser Bridge extension and Node 21+. Useful if you're already monitoring LinkedIn for market commentary and want to pull that data into your research workflow without manual copying.

skills.sh installs
1.3K
GitHub stars
3.5K
last updated
Aug 21, 2026

Install

$ npx -y skills add himself65/finance-skills --skill linkedin-reader --agent claude-code

Installs into .claude/skills of the current project.

Files

LinkedIn Skill (Read-Only)

If your host has not already executed the shell probes below (for example, in Codex), run the commands inside the ! wrappers with its shell tool before choosing a setup path. Use the actual output; if shell access is unavailable, report that limitation.

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:

Sponsors

Details

Repository
github.com/himself65/finance-skills
Categories
Data Science & ML, Finance & Trading
First seen
Jun 3, 2026

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