Use LinkedIn profiles, company information, jobs, posts, and inbox conversations for recruiting, job searches, and outreach research. Through the bundled MCP server, an agent connection to LinkedIn, the skill also handles explicitly authorized messages and connection requests.
Use LinkedIn data for profile, company, job, post, feed, inbox, recruiting, and outreach work through the bundled LinkedIn MCP server. Use only for an explicit LinkedIn request.
Review the instructions the agent will receive before you install.
Use the bundled linkedin MCP server only when the user explicitly asks for
LinkedIn data or an action on LinkedIn. Do not call LinkedIn tools for unrelated
work, health checks, or background maintenance.
send_message and connect_with_person are write actions. Use them only when
the user explicitly authorizes the exact recipient and action. Confirm the
final message or connection note unless the user has already supplied it.The server uses a managed Chromium browser and the user's own LinkedIn session. Installing or enabling the plugin does not sign in. The first LinkedIn data request may prepare the browser, import an existing local session, or require a visible login window. If LinkedIn presents a captcha, two-factor prompt, or other user-owned authentication step, stop and ask the user to complete it.
If browser setup or authentication is still in progress, report that exact state and retry once after it finishes. Do not loop, launch extra browser instances, clear profiles, or replace the user's browser session.
get_my_profile, get_person_profile, search_people, and
get_sidebar_profiles.get_company_profile, get_company_posts, search_companies,
and get_company_employees.search_jobs, get_saved_jobs, get_job_details, and
get_job_apply_url.get_feed and search_posts.get_inbox, get_conversation, and search_conversations.send_message and connect_with_person, subject to the explicit
authorization rules above.close_session only when the user asks to end the managed
browser session or when the current LinkedIn task is finished and no follow-up
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Prioritize open LinkedIn integration issues and pull requests, or proposed code changes, using report completeness, severity, reach, and readiness checks. Produce ranked lists, identify missing evidence, and recommend concrete next steps for maintainers.
Investigate LinkedIn integration bugs by comparing issue reports with source code. Separate established facts from unverified claims, identify missing evidence, and optionally check reproduction in a live environment after explicit approval.
Evaluate whether a proposed LinkedIn integration fix addresses its linked issue by reviewing the report, code changes, and tests. Flag implementation concerns and optionally compare live results with a genuine recorded baseline after approval.
Search Git repositories locally to answer questions about implementation or usage. The skill clones or updates repositories, examines their contents, and presents findings with source links and complete code examples, including necessary imports.
Prepare GitHub bug reports, feature requests, documentation issues, and chores using repository forms and supporting evidence. Search existing issues to choose between a new report and a comment, then publish only after approval of the exact public text.
Collect PR review feedback, check each finding against code and documentation, and fix valid issues. Run project checks, commit and push changes, then reply to review threads and resolve fixed findings or false positives.