Get the job descriptions, from the jobids below from LinkedIn using the provided tools in the MCP server. The list of jobids is: $ARGUMENTS. If there are no jobids provided, use the tools in the MCP server to retrieve the last 3 jobids, and retrieve the descriptions.
Lets the agent drive a real browser: open pages, click, type, take screenshots and read the accessibility tree, using Playwright. Runs locally from the @playwright/mcp npm package.
Claude Code instructions for francisco-perez-sorrosal/cv, covering claude.md, repository overview, common commands, latex cv management (main branch) and compile the cv to pdf using pdflatex.
MCP server "cv" as configured in francisco-perez-sorrosal/cv. Launched with https://github.com/francisco-perez-sorrosal/cv/releases/download/v0.0.3/fps-cv-m.
Claude Code instructions for francisco-perez-sorrosal/linkedin-mcp, covering claude.md, development commands, install dependencies, run mcp server and development tasks.
Orchestrates LinkedIn job search using the LinkedIn MCP server tools. Searches for jobs by location and keywords, retrieves job summaries, and fetches detailed metadata for selected jobs. Activate when the user wants to search for jobs, find job listings, browse LinkedIn job postings, or look for positions. Trigger…
Model Context Protocol (MCP) server for LinkedIn - enabling AI agents to interact with LinkedIn's professional network. Runs locally from the linkedin-mcp-server Python package.