Daniel Sticker

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.

• Investigating a reported LinkedIn integration bug
• Identifying evidence missing from an issue report
• Checking live reproduction after 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.

• Checking whether a PR addresses its linked issue
• Reviewing language-dependent detection and selectors
• Comparing live results with a recorded baseline

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.

• Deduplicating feedback from multiple reviewers
• Checking review findings against current code
• Testing and pushing fixes for valid findings

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.

• Researching people and companies for recruiting
• Finding jobs and checking application links
• Reviewing posts and feed content

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.

• Preparing a bug report with supporting evidence
• Drafting a feature request using the repository form
• Adding new evidence to an existing issue

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.

• Prioritizing a backlog of open issues
• Separating reports that need more evidence
• Comparing pull requests for production readiness

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.

• Investigating how a repository implements a feature
• Finding usage examples with complete imports
• Revisiting and searching previously cloned repositories