Skill UI

Impact Analysis Helper automatically activates within enterprise workflows to guide compliance, governance, and integration scenarios; it offers step-by-step best practices, production-ready output, and validation for impact analysis requests.

This module provides production-grade patterns for integrating the Juicebox AI-powered people search API. It includes a singleton client for centralized rate-limit handling, a robust request builder for complex criteria (location, company, experience years), and structured error wrappers for reliable API calls (retries, error context). Ideal for building scalable recruitment, market research, or data enrichment tools.

This skill guides users on configuring advanced access controls within Lokalise Enterprise. It details how to implement fine-grained role-based access control (RBAC), manage complex permissions (Admin, Reviewer, Translator) using API calls, enforce language-level scoping, and handle team-level user assignments. Furthermore, it provides instructions for integrating Single Sign-On (SSO) and creating contributor groups for scalable enterprise management.

This comprehensive skill provides full programmatic control over the entire work order lifecycle within the MaintainX platform. Users can create new work orders with detailed metadata, programmatically transition their status (Open, In Progress, On Hold, Completed), query existing tasks, and attach documentation or comments. It is ideal for automating complex maintenance operations and ensuring end-to-end operational visibility.

This deep-dive guide provides a comprehensive framework for migrating complex operational data into the MaintainX platform. It systematically guides users through assessing source data quality from legacy CMMS systems (like Maximo), spreadsheets, or custom databases. The process covers essential steps including data assessment, schema mapping, and executing robust ETL processes for work orders and assets, ensuring a smooth re-platforming transition.

This skill guides users through a comprehensive, multi-stage process for creating high-quality documentation. It systematically moves through Context Gathering (understanding the background and audience), Refinement & Structure (iteratively building and editing sections), and Reader Testing (simulating external review to catch blind spots). Ideal for drafting complex specifications, proposals, or design documents that need to be robust and clear for a wide audience.

A specialized skill for drafting high-impact, highly personalized investor communications. It covers cold emails, warm intro requests, follow-up updates, and overall pipeline management. The skill ensures every message is concrete, actionable, and structured to maximize engagement and minimize friction with busy investors.

An expert guide for planning, designing, and implementing statistically rigorous A/B tests and product experiments. It covers core principles like formulating strong hypotheses, selecting primary/guardrail metrics, calculating sample sizes, and analyzing results to drive actionable business insights.

This skill enforces Sentry's rigorous blog writing standards, ensuring all content—from deep technical dives to product announcements—reads like it was written by a senior developer. It guides users on adopting a specific, opinionated, and technically credible voice, structuring posts around problem-solving, and avoiding generic corporate jargon.

This framework guides users through a pre-mortem analysis, systematically imagining a plan has failed and working backward to identify critical weaknesses. It surfaces underlying assumptions, dependencies, and potential failure points. Ideal for teams before committing significant resources, presenting to investors, or operating under high pressure.

This advanced orchestration layer acts as the central point between founders and C-suite advisors. It analyzes complex strategic questions, scores decision complexity, and automatically routes queries to the necessary expert roles (e.g., CFO, CTO). It coordinates multi-agent 'board meetings' and synthesizes conflicting expert opinions into structured, actionable decision logs for major business decisions.

This advanced engine acts as the memory layer for C-suite advisory sessions. It loads, manages, and enriches detailed company context from local files, automatically detecting context staleness. Crucially, it enforces strict anonymization protocols before any external API calls, ensuring sensitive data (like revenue or names) is protected while providing deep, specific insights for high-level business strategy.