Skill UI

This skill is designed to configure a Rails project workspace to function correctly within Conductor, a platform for parallel coding agents. It sets up the necessary scaffolding, including `conductor.json`, executable setup scripts, and server scripts. Additionally, it updates critical Rails configuration files (such as Sidekiq, Cable, and development environment settings) to ensure proper environment variable handling, Redis isolation, and port management for reliable parallel agent execution.

This skill provides a comprehensive solution for implementing observability for Customer.io integrations. It covers setting up Prometheus metrics (latency, request counts, bounces), structured JSON logging with PII redaction, and OpenTelemetry tracing. Use it when building robust, production-grade monitoring dashboards and alerting systems for Customer.io APIs.

This skill provides comprehensive guidance on deploying Expo applications to production across multiple platforms, including iOS, Android, and Web, utilizing Expo Application Services (EAS). It covers the full lifecycle, from building and configuring profiles (eas.json) to submitting builds to App Store Connect, Google Play, and TestFlight. Furthermore, it details deploying web bundles, managing app versions, optimizing App Store metadata, and implementing automated CI/CD workflows.

Aggregates test results from multiple frameworks, computes coverage/pass rate trends, and produces stakeholder-friendly HTML, PDF, or JSON reports for CI/CD test reports, coverage checks, failure analysis, or historical comparisons.

Create, modify, and validate Obsidian-compatible JSON Canvas (.canvas) files to build visual boards, mind maps, flowcharts, or note-link diagrams with nodes, edges, groups, and colors.

Master the art of building robust, production-grade LLM chains using LangChain Expression Language (LCEL). This guide covers advanced composition patterns, including sequential, parallel, and conditional branching chains. It also details prompt templating, structured output parsing (JSON/Zod), and context injection, enabling the creation of complex, multi-step AI pipelines.

Used for building, debugging, and extending MCP servers and clients. This skill implements robust connections between AI systems and external tools/data sources using structured protocols like JSON-RPC 2.0. Expertise includes defining tool schemas (Zod/Pydantic), configuring transport layers (HTTP/SSE/stdio), and scaffolding full-stack projects in TypeScript or Python.

This comprehensive workflow guide covers all production-ready patterns for Mistral AI chat completions. It demonstrates critical advanced features including multi-turn conversation management, real-time streaming responses, structured JSON output using schemas, and implementing robust guardrails and moderation. Ideal for building scalable, production-grade conversational AI applications and advanced chat interfaces.

This comprehensive guide provides a step-by-step workflow for establishing a professional Obsidian plugin development environment. It covers cloning the official sample, installing necessary dependencies (Node.js, TypeScript, esbuild), configuring essential project metadata (`manifest.json`, `versions.json`), and setting up a symlinked development vault for seamless testing and building.

Run local Lighthouse audits via CLI or Node API, parse JSON/HTML reports, enforce performance budgets, integrate with CI (Actions/LHCI), and compare builds to catch regressions before deploys.

Automates scaffolding of new Claude Code plugins within the claude-code-plugins repo, creating directories, plugin.json, READMEs, LICENSE, commands/agents/skills/MCP assets, and marketplace entries before validating schemas and syncing the catalog.

This guide details the standardized directory structure and best practices for building robust and maintainable plugins for Claude Code. It covers critical components including the plugin manifest (plugin.json), commands, agents, skills, and hooks. Use this skill when you need to scaffold a new plugin, understand the required component organization, or configure the plugin's architecture according to best practices.