Skill UI

Guides looping on a PR to fix CI failures, address reviews, rerun checks, and reply in threads until all checks pass; uses bundled scripts to fetch PR feedback and check status while running from the repo root with the GitHub CLI.

Build and tune Obsidian Base files to define database-like views, filters, formulas, and summaries for notes, so you can craft tables, cards, lists, and dashboards inside your vault.

Defines the secondary Obsidian workflow for crafting modals, fuzzy suggestion popups, custom views, editor extensions, and context menus when extending the app with bespoke UI experiences.

Provides production-ready reference architecture patterns for Obsidian plugin development, guiding project layout, service layers, and event management so teams can organize new builds and reviews consistently with best practices.

Structured production checklist guiding OpenEvidence clinical AI deployments through legal, security, infrastructure, monitoring, resilience, and testing milestones to ensure compliant launches and pre-deployment reviews.

A comprehensive specialist that combines automated static analysis (SonarQube, CodeQL, Semgrep) with advanced AI capabilities. This tool performs multi-layered code reviews assessing security vulnerabilities, performance bottlenecks, architectural coherence, and maintainability across various programming languages, integrating seamlessly into CI/CD pipelines.

A sophisticated AI tool that coordinates multiple specialized agents (e.g., Security, Architecture, Performance) to provide comprehensive, multi-perspective code assessments. It goes beyond single-point reviews by managing context, running hybrid execution workflows, resolving conflicts, and synthesizing unified, actionable reports for high-quality code assurance.

A concise reference for spotting and avoiding Perplexity Sonar anti-patterns during reviews, onboarding, or audits, covering citation parsing, model selection, recency handling, and context limits so integrations stay accurate and cost-effective.

Defines a Perplexity reference architecture for AI research and search projects, covering model routing, citation extraction, conversational search, and multi-query pipelines to establish consistent integrations and reviews.

Provides a comprehensive, blameless playbook for conducting post-incident reviews, documenting findings, and generating actionable follow-up items that improve systems and team learning after SEV1/SEV2 outages or customer-impacting incidents.

A comprehensive toolkit designed for modern product managers covering the entire product lifecycle. It provides essential frameworks for feature prioritization (RICE scoring), conducting deep customer discovery interviews, structuring detailed Product Requirement Documents (PRDs), and developing strategic product roadmaps. Use this guide for robust feature validation, user research synthesis, and cross-functional strategy development.

A guide to building robust projections and read models from continuous event streams. This pattern is essential for implementing CQRS read sides, creating materialized views, optimizing query performance, and building complex search indexes in event-sourced architectures. Use it when data needs to be transformed and aggregated from raw events into optimized query structures.