Skill UI

This guide provides strategies to minimize API overhead when integrating with Clari. Users can optimize export frequency (e.g., daily vs. quarterly), implement data caching, and restrict data exports to only the necessary types, thereby reducing operational costs and improving system performance.

A comprehensive guide to designing high-performance schemas in ClickHouse. Learn how to select the optimal MergeTree engine (e.g., ReplacingMergeTree, AggregatingMergeTree), structure the ORDER BY key for maximum query efficiency, and implement effective partitioning strategies for large-scale analytical workloads and ETL processes.

Manages the complete data lifecycle within ClickHouse. Includes setting Time-To-Live (TTL) policies for automatic data expiration, implementing GDPR/CCPA compliant deletion, PII masking, partition management, and building comprehensive audit trails. Essential for robust data governance and compliance.

This guide provides a comprehensive walkthrough for starting with the ClickUp API v2. It details the platform's core data hierarchy (Workspace > Space > Folder > List > Task) and demonstrates the fundamental API calls required for integration setup. Users will learn how to list workspaces, retrieve spaces, and successfully create a new task using both cURL and TypeScript examples. It is ideal for developers beginning a new ClickUp integration or requiring basic API testing.

This guide details advanced patterns for managing API rate limits, particularly for external AI services like Cohere. It covers implementing exponential backoff with jitter for handling transient 429 errors, utilizing concurrency-limited request queues, and building proactive rate limit trackers. These techniques ensure highly reliable and optimized API throughput in production systems.

This advanced tool functions as a competitive intelligence partner for Product Managers. It moves far beyond simple feature comparison, helping users map the entire market landscape, identify underlying Jobs-to-be-done, uncover competitor positioning gaps, and generate actionable strategic recommendations. Use it when you need to define a product's unique value proposition or evaluate market threats.

This tool functions as an expert competitive intelligence analyst. It takes a list of competitor URLs and generates comprehensive, structured profile documents. It combines live site scraping (e.g., features, pricing, value prop), SEO metrics, and third-party review data (G2, Capterra) to provide deep, actionable insights. Ideal for market research, product comparison, and strategic competitive planning.

A sophisticated tool for comparing two versions of a legal contract side-by-side. It detects all added, removed, and modified clauses, classifying changes by type and severity. Crucially, it performs favorability analysis, determining which party (Party A or Party B) each change strategically favors, and alerts the user to dangerous patterns like IP scope creep or indemnification drift, making it essential for high-stakes contract negotiations.

This skill guides the secure handling and lifecycle management of large-scale data artifacts, including training datasets, model weights, and checkpoint snapshots, within GPU cloud environments. It provides best practices for data pipelines, covering secure import via Kubernetes PVCs, compliant export, and stringent data validation, ensuring adherence to encryption standards (AES-256) and regulatory requirements (PII masking, RBAC).

This advanced engine creates deeply personalized, relationship-aware daily gifts using a sophisticated five-stage creative pipeline. It first performs an 'Editorial Judgment' to determine if a gift is warranted, and then generates the content concept. Output can be rendered as interactive H5 web pages, AI-generated images, or videos, ensuring that every artifact is highly unique, contextually relevant, and avoids repetition. Ideal for automated journaling, marking milestones, or maintaining thoughtful daily engagement.

This expert acts as a dedicated data analysis partner for Product Managers. It helps users explore data, write complex queries (e.g., SQL, BigQuery), analyze key metrics, and create structured dashboards. Use this tool when you need to derive actionable insights from complex datasets, compare user cohorts, or understand product performance trends to inform critical business decisions.

This guide provides a comprehensive framework for investigating production issues on the Nexu platform using the Datadog Logs API. It details how to query crash events, analyze OpenClaw stderr output, check gateway startup status, and review API request logs (including 5xx errors). It includes best practices for authentication, filtering by pod/time, and parsing raw JSON logs using Python for actionable insights.