Design

Fill DOCX template forms programmatically while preserving 100% of original structure - logos, footers, styles, metadata. Zero-artifact insertion for forms, applications, and standardized documents. Output indistinguishable from manual filling.

Automatically discover database skills when working with SQL, PostgreSQL, MongoDB, Redis, database schema design, query optimization, migrations, connection pooling, ORMs, or database selection. Activates for database design, optimization, and implementation tasks.

Refactor codebases using Design by Typed Holes methodology - iterative, test-driven refactoring with formal hole resolution, constraint propagation, and continuous validation. Use when refactoring existing code, optimizing architecture, or consolidating technical debt through systematic hole-driven development.

Automatically discover API design skills when working with REST APIs, GraphQL schemas, API authentication, OAuth, JWT, rate limiting, API versioning, error handling, or endpoint design. Activates for backend API development tasks.

Automatically discover protocol skills when working with HTTP, TCP, UDP, QUIC, and network protocols

Comprehensive toolkit for detecting and eliminating "AI slop" - generic, low-quality AI-generated patterns in natural language, code, and design. Use when reviewing or improving content quality, preventing generic AI patterns, cleaning up existing content, or enforcing quality standards in writing, code, or design work.

Standardize typed forms in this repo. Use whenever a feature needs a form or an existing form is being refactored. Prefer SchemaForm + formFields + zod for typed inputs and consistent UI/validation; use react-hook-form Controller only for custom fields that SchemaForm cannot render.

Create world-class, accessible, responsive interfaces with sophisticated interactive elements including chat, terminals, code display, and streaming content. Use when building user interfaces that need professional polish and developer-focused features.

Fill DOCX template forms preserving 100% original structure - logos, footers, styles, metadata. Zero-artifact insertion. Output indistinguishable from manual entry.

Automatically discover build system skills when working with build systems. Activates for build-systems development tasks.

Diagnose xcodebuild builds using argus. Use this instead of parsing xcodebuild output to avoid filling the context window. Query build errors, warnings, slowest targets, bottlenecks, implicit/redundant dependencies, and dependency graph with linking information for optimization analysis.

Build comprehensive, mobile-compatible Obsidian study vaults from academic course materials with checkpoint-based workflow, error pattern recognition, and quality assurance. Battle-tested patterns from 828KB/37-file projects. Works across all subjects - CS, medicine, business, self-study.

Automatically discover terminal UI skills when working with terminal user interfaces. Activates for tui development tasks.

Automatically discover frontend development skills when working with React, Next.js, UI components, state management, data fetching, forms, accessibility, performance optimization, or SEO. Activates for frontend web development tasks.

Build mobile-compatible Obsidian study vaults from academic materials with checkpoint workflow and QA. Battle-tested on 800KB+ projects. Works across CS, medicine, business.

Best practices for Tuist projects. Use when working with Tuist manifests, generating projects, or building with xcodebuild in Tuist projects.

Analyze incoming user requests to detect intent, request type (design/validate/debug/document), complexity level, and identify vague requirements or buzzwords that need clarification. Use when cto-orchestrator receives new requests that need classification before routing to specialist agents.

Recommend technology stacks based on project requirements, team expertise, and constraints. Use when selecting frameworks, languages, databases, and infrastructure for new projects.

Implementation guide for creating well-formed Jira user stories with acceptance criteria

Guidance for scaling systems from startup to enterprise scale. Use when planning for growth, diagnosing bottlenecks, or designing systems that need to handle 10x-1000x current load.