James P Hollingsworth

Sets the AI to act as an expert in HTML, Tailwind CSS, and vanilla JavaScript, focusing on clarity and readability for all HTML, JS, and CSS files.

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Hugging Face Hub operations, model inference, dataset management, PEFT/LoRA fine-tuning, and Spaces deployment via MCP tools and Python APIs

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Google Imagen image generation via Vertex AI — text-to-image, image editing, inpainting, and upscaling using ImageGenerationModel

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Create structured incident response runbooks with step-by-step procedures, escalation paths, and recovery actions. Use when building runbooks, responding to incidents, or establishing incident response procedures.

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Detect hardcoded credentials, default passwords, fail-open configurations, insecure default settings, and other security misconfigurations that ship as default behavior in applications.

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Token-range severity zones (Green/Yellow/Orange/Red/Critical) with detection checklist, early warning indicators, and corrective routing actions for context window degradation

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Expert Electron desktop application development — main/renderer process architecture, IPC communication, native OS APIs (menus, tray, notifications, dialogs), auto-updates, code signing, packaging with electron-builder/forge, security hardening (contextIsolation, sandbox), and performance optimization. Use for building cross-platform desktop apps.

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Deeply analyzes Agent Studio framework structural health: catching phantom require() references, wrong module depth paths, missing skill/agent dependencies, bloated configurations, archived references in active code, stale catalog counts, and empty tool/skill directories.

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Discover, parse, and call external HTTP APIs at runtime using OpenAPI specs, tool templates, and iterative chaining. Adapted from UTCP (Universal Tool Calling Protocol) patterns for Node.js and Claude Code agents.

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This rule enforces the Don't Repeat Yourself principle to avoid code duplication and improve maintainability.

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Rules for Drizzle ORM schema design, query patterns, migration workflows, and relational query usage. Ensures type-safe, production-ready database interactions.

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Docker Compose container orchestration and management. Manage multi-container applications, services, networks, and volumes. Use for local development, testing, and orchestration of containerized applications.

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Generates comprehensive documentation from code, APIs, and specifications. Creates API documentation, developer guides, architecture docs, and user manuals with examples and tutorials.

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Collaborative document creation via a structured three-stage workflow. Use for writing specs, PRDs, design docs, proposals, RFCs, and any long-form document where quality and clarity matter. Brainstorms 5-20 options per section, builds iteratively, and tests with reader sub-agents.

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Concurrent investigation of independent failures. Use when multiple unrelated issues need parallel resolution.

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Stop the Telegram channel daemon.

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Perform security-focused review of code diffs and pull requests, identifying newly introduced vulnerabilities, security regressions, and unsafe patterns in changed code.

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Generates architecture, database, and system diagrams using Mermaid syntax. Creates visual representations of system architecture, database schemas, component relationships, data flows, and standalone HTML exports.

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Specifies design and user experience guidelines, including dark mode compatibility, responsive design, performance optimization, modern UI, and accessibility. This rule promotes a user-friendly and vi

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Analyzes project dependencies, detects outdated packages, identifies breaking changes, and suggests safe update strategies. Helps maintain dependency health and security.

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Multi-step autonomous research methodology for deep investigation tasks with structured synthesis

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Systematic 4-phase debugging with root cause investigation. Use when fixing bugs to prevent random fixes.

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Structured debug log analysis for Claude Code sessions — auto-discovers most recent log, runs reducer, extracts error patterns, correlates with full log, produces observability report. Fills 5 identified gaps: hook error body capture, agent identity, file path tracking, stall correlation, success visibility.

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Two-agent cleanup pattern. Implementer works freely, then a dedicated cleanup agent removes unused imports, console.logs, commented-out code, dead code, and formatting issues. Produces a diff of what was cleaned.

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