Skill UI

Provides a unified, real-time dashboard to monitor the status and performance of all active marketing campaigns across multiple channels (ads, email, social, blog). It aggregates key metrics (Spend, ROAS, CPA), tracks execution history, surfaces pending approvals, and flags potential issues like budget overruns or stale content, ensuring continuous campaign optimization.

Guides authors through the final pre-submission quality check for American Anthropologist manuscripts submitted via Research Exchange. It verifies crucial elements such as anonymity stripping, meeting specific word counts, adhering to Chicago author-date style, securing ethics approvals, and ensuring proper metadata (DOIs, ORCID, alt text) are included. Essential for avoiding common rejection reasons.

This guide assists researchers in compiling and documenting all necessary ethical approvals, biosafety statements, and data/code availability declarations required for high-impact scientific manuscripts (e.g., Cancer Cell). It ensures compliance with guidelines covering animal protocols (IACUC), human subject ethics (IRB/Consent), and data sharing standards (GEO, Zenodo).

A comprehensive guide for enhancing existing agentic web applications built on the CopilotKit frontend and Microsoft Agent Framework running on Azure AI Foundry. Covers advanced topics such as adding and gating agent tools, implementing human-in-the-loop (HITL) approvals, managing shared state, debugging event streams, and safely deploying agent updates. This skill is for maintenance and extension, not for initial project scaffolding.

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 is a comprehensive, final preflight checklist designed for submitting scientific manuscripts to PNAS. It guides authors through every critical stage, including assessing broad significance, choosing the correct submission track, optimizing the abstract and significance statement, verifying data integrity, handling ethics approvals, and ensuring all required files and metadata are compliant. It acts as a single gatekeeper before submission.

Creates an Agent Authority Charter to define permissions, delegation, approvals, escalation, and audit requirements for AI agents before enterprise or regulated deployment. Helps legal, compliance, risk, and product teams document what an agent may and may not do, prepare for human review, and ensure auditable governance across the agent lifecycle.

Guides full contract lifecycle review from intake through playbook normalization, clause review, deviation scoring, negotiation planning, approvals, QA, and next actions. Covers legal, business, operational, compliance, privacy, security, technology, and AI risks across NDAs, SaaS agreements, DPAs, procurement and commercial contracts.

Configure a PreToolUse security gate for Google Antigravity CLI (agy) enabling safe unattended execution with layered policy controls including hard deny, fast allow, LLM classifier fallback, and single-use token approvals, avoiding dangerous permission bypass.

Configure CircleCI 2.1 workflows, orbs, executors, caching, workspaces and parallelism for building, testing and deploying applications. Covers approvals, scheduled runs, branch filtering and secrets contexts.

This guide outlines advanced architectural patterns for building multi-stage CI/CD pipelines. It covers best practices for implementing robust deployment gates, including manual approvals, time-based triggers, and multi-approver workflows. It details various deployment strategies like Rolling, Blue-Green, and Canary releases, ensuring controlled, zero-downtime, and highly reliable software releases.