Skill UI

A comprehensive runbook designed to guide developers through responding to Anthropic API incidents, including outages, sustained errors (like 529), and rate limit issues. It covers systematic steps like checking the official status page, classifying incident severity, implementing model fallback logic (e.g., downgrading Opus to Sonnet), and conducting post-incident impact assessments to ensure service resilience.

This reference architecture provides a comprehensive blueprint for building a robust revenue intelligence data platform integrated with Clari. It covers the entire data lifecycle, including API data extraction (ETL pipeline), data warehousing design (Snowflake/BQ), change detection logic, and advanced analytics/alerting layers. Use this guide when designing a scalable forecast tracking system, planning complex data integrations, or establishing best practices for enterprise revenue analytics.

A persistent memory kit designed for Claude AI agents. It maintains deep context across multiple sessions and projects using a two-layer architecture (hot cache and knowledge wiki). Features include safety hooks, multi-project context isolation, and a /close-day command for daily synthesis, ensuring agents remember complex information and continuously learn.

A comprehensive, step-by-step runbook designed for diagnosing and resolving critical operational issues in ClickHouse databases. Covers tiered severity levels (P1-P3) for scenarios ranging from server outages and OOM kills to performance degradation and stuck queries. Provides essential system tables queries and commands for service recovery and system health checks.

This comprehensive checklist guides users through critical operational readiness steps for a ClickHouse production deployment. It covers server tuning (config.xml), schema design best practices, robust backup strategies (S3), detailed monitoring setup (Prometheus/Grafana), security hardening, and application integration verification. Use this document before go-live, during major upgrades, or when auditing production systems to ensure maximum stability and performance.

A multi-phase workflow designed to guide users through complex problem analysis and solution design. Instead of providing immediate answers, it systematically enforces deep thinking by reviewing the problem's validity, assessing information gaps, performing root cause analysis, and iterating through solution vetting (self-check and final review). Ideal for complex technical troubleshooting, decision-making, or theoretical discussions requiring rigorous methodology.

This skill acts as an expert Design Systems Lead, analyzing complex technical assets (HTML, CSS, screenshots) from existing projects. It synthesizes a comprehensive 'Semantic Design System' into a structured DESIGN.md file. This output serves as the authoritative 'source of truth' for AI prompting, ensuring that any new UI generated by tools like Stitch adheres perfectly to the established visual language, color palette, and component standards.

This skill acts as a specialized prompt engineer for AI design tools. It transforms vague, rough UI/UX ideas into polished, highly optimized prompts. It systematically enhances prompts by injecting missing details such as specific components, design system adherence (colors, typography), page structure, and platform context, ensuring the resulting command is professional and ready for superior AI generation.

Automate the complex process of migrating design systems, design tokens, and styles between multiple Figma files, or from external sources into Figma. This tool covers the full pipeline: inventorying assets, extracting raw style data (colors, typography, effects), transforming them into structured design tokens (e.g., JSON format), and finally writing them back into Figma variables using the Variables API. Ideal for maintaining consistency across large design libraries.

A comprehensive reference architecture for building production-grade integrations with the Figma REST API. This guide covers the full design-to-code pipeline, including design token extraction, scalable asset export (icons/images), and robust webhook event handling. Ideal for architects planning new Figma services, establishing project structure, or implementing complex design system workflows.

Generates deterministic, publication-quality vector diagrams (SVG) for architecture, workflows, and pipelines from structured JSON specifications (FigureSpec). This tool is designed for technical documentation and formal system modeling where absolute precision, reproducibility, and the ability to edit the output are critical. It ensures that the same input always yields the same, validated diagram.

This guide provides comprehensive strategies to optimize financial workflows within the Fondo system. Key areas covered include accelerating the month-end close process through auto-categorization rule setup, streamlining vendor communications with CPAs via batch processing, and implementing efficient data export caching mechanisms. It is designed to help finance teams achieve faster, more accurate, and highly automated financial reporting.