Skill UI

JobGPT is a comprehensive automation platform for managing your entire career journey. It allows users to search for jobs using advanced filters (location, salary, remote, etc.), auto-apply to openings, generate tailored resumes optimized for specific roles, and track application progress across multiple job boards. Furthermore, it provides valuable salary intelligence, helps find target recruiters, and facilitates professional outreach, making the job hunt process highly efficient.

This skill provides reliable methods for opening and viewing Markdown files within cmux panes. It specifically addresses a known bug where attempting to move an existing Markdown viewer surface using `move-surface` results in a blank, unreadable output. Use this when you need a stable, correctly rendered Markdown view in a designated cmux pane, avoiding the rendering failure bug.

This skill functions as an optional agent companion for MDPR, a deterministic Markdown-to-presentation runtime. It helps review presentation workflows by providing semantic hints, visual evidence reports, and high-level layout intentions. Crucially, it keeps agent output evidence-based while letting MDPR maintain control over final slide geometry, rendering details, and layout coordinates.

This is a comprehensive lookup reference for the Mercury MCP server tools. It guides AI agents on how to interact with a virtual team workspace, enabling structured communication for messaging teammates, managing threads and tasks, scheduling complex automations, and performing administrative graph edits. Use this when your agent needs to execute specific team workflows.

Cross-validate web research across at least two distinct search or retrieval capabilities, then produce an offline-checkable evidence ledger recording source diversity, claim-level confidence, explicit conflicts, and research gaps.

Validate and fix n8n expression syntax in workflows. Covers {{}} syntax, $json/$node variables, webhook data access, and common pitfalls like Code nodes and credential fields. Includes practical examples for webhook-to-Slack and HTTP-to-Email integrations.

Operation-aware guidance for configuring n8n nodes, understanding property dependencies, determining required fields, choosing get_node detail levels, and learning common configuration patterns by node type.

Automate Microsoft Outlook operations including emails, calendar events, contacts, and folders using Rube MCP. Supports KQL search, OData filters, and OAuth connections for Microsoft 365 enterprise accounts. Ideal for workflow automation and email management tasks.

This skill acts as a literature-research assistant, orchestrating a Python CLI to interface with APIs like Semantic Scholar and arXiv. It enables users to search for academic papers by topic, retrieve detailed metadata, perform impact analysis using citation tracking, download PDFs, and extract text content. It streamlines the entire academic research workflow from initial discovery to deep reading.

Run a pre-deploy and post-deploy gate to catch silent failure modes that make releases appear successful while production remains broken. Verifies migrations, flags, assets, pointers, rollout state, and the live revision before reporting shipped.

This skill addresses vague or ambiguous user requests by initiating a structured, multi-round questioning process. Instead of making assumptions, it systematically clarifies dimensions like audience, scope, tone, and format across several rounds (up to three). This structured approach ensures the resulting output is highly accurate and requires minimal revision cycles.

This skill guides users through software setup or installation processes step by step. It displays the current action and lists remaining steps to prevent overwhelm. The assistant ensures all prerequisites are met and updates the checklist dynamically. Ideal for complex configurations requiring clear, atomic instructions.