Skill UI

Automate Composio Campaign Cleaner operations via Rube MCP, always starting with `RUBE_SEARCH_TOOLS` to discover the current schemas, connecting the toolkit, and invoking `RUBE_MULTI_EXECUTE_TOOL` with schema-compliant arguments and session handling.

This skill collects a comprehensive debug bundle from the Instantly workspace. It gathers critical metrics including campaign state, account health, warmup analytics, webhooks, and background job status. The resulting structured JSON report is ideal for creating detailed support tickets, performing technical troubleshooting, or conducting internal system audits.

This skill provides comprehensive enterprise-grade access control (RBAC) for Instantly.ai workspaces. It enables administrators to manage workspace members, assign roles, govern API keys with granular scopes (e.g., read-only, specific campaign access), and set up workspace groups for agency operations. Essential for implementing secure, multi-user environments and maintaining strict data isolation.

This structured runbook guides users through critical incident response procedures for Instantly.ai. It covers severe issues like account health crises, major campaign failures, deliverability drops, and API outages. The guide provides step-by-step triage, mitigation, and recovery actions (P1-P4) using code examples, ensuring rapid and systematic resolution during platform incidents.

A comprehensive guide for managing the entire lifecycle of major academic conference submissions (e.g., CVPR). It details critical timelines, from initial scope freezing and paper drafting to supplement submission, rebuttal writing, and resubmission strategies across different venues (ICCV, ECCV). Focuses heavily on project management and coordination to prevent process failures.

Comprehensive guide for planning an end-to-end academic campaign submission to IMC. This workflow details backward planning from target cutoffs, managing ethics approvals, handling two annual deadlines, and navigating the One-Shot-Revision path, ensuring a smooth research cycle from data collection to final publication.

This guide provides a structured methodology for planning complex academic research publications, especially those governed by multi-deadline cycles. It emphasizes backward scheduling, accounting for non-compressible physical processes like hardware deployment and energy campaigns. It helps researchers sequence activities from initial topic selection through building, measurement, writing, and handling potential resubmission requirements across two distinct academic deadlines.