Results for “arc”

Analyzes codebases to understand existing features, tracing entry points, execution paths, architecture layers, patterns, and dependencies before new development.

Self-referential loop until task completion with architect verification

Self-referential loop until task completion with architect verification

Archie Intent Layer — Per-Folder CLAUDE.md Generation

Audit, redesign, or plan website structure, URL hierarchy, navigation, and internal linking to improve SEO and user experience.

Evaluates Google Cloud workloads against the Sustainability pillar of the Well-Architected Framework, providing actionable recommendations to minimize environmental impact.

Documents AI-built apps with architecture, permissions, secrets, and test coverage maps to make them reviewable before shipping.

Analyzes codebases to generate detailed technology stack blueprints with version information, licensing, usage patterns, coding conventions, and architecture diagrams.

Maps a codebase into feature-grouped flowcharts, identifies duplicated concerns across features, and proposes a unified architecture with handoff prompts for refactoring.

Provides a CTO-level framework for architecting, auditing, and scaling AI-native systems, focusing on state management, observability, and blast radius analysis.

Routes to the right Salesforce data skill package for data model, migration, bulk loads, query optimization, deduplication, and archival tasks.

Generates and maintains project documentation: Google-style docstrings, README, architecture docs, and ADRs, with a mandatory post-task review gate to keep docs current.

Creates an Architecture Decision Record following the Nygard format to document significant technical decisions, their context, and consequences. Use when making technical choices that affect system architecture, technology selection, or development patterns.

Design multi-agent system architectures, generate tool schemas for Anthropic and OpenAI formats, and evaluate execution logs for cost, latency, and failure bottlenecks.

Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md.

Generates publication-quality figures for ML papers, including architecture diagrams via Gemini and data-driven charts via matplotlib/seaborn.

Reviews code through the lens of 12 classic software engineering books, catching design smells, coupling issues, and architectural risks that linters miss.

Designs system architecture, selects technology stack, creates ERDs and sequence diagrams, and records ADRs from BA artifacts, declaring a design freeze gate.

Performs structured code reviews of git branches, tracking findings in a living document and optionally running deep architectural analysis with subagents.

Scans a codebase for deepening opportunities, presents them as a visual HTML report, then grills through the chosen one. Use when the user wants to improve codebase architecture or find refactoring opportunities.

Frontend architecture and UI design — component hierarchies, accessibility, performance, state management. Use when designing frontend architecture, building component hierarchies, making something accessible, optimizing Core Web Vitals, or choosing a state management approach.

Use this when the project needs Python-specific backend architecture for APIs, services, workers, scripts, or internal tools. Trigger on requests about Python runtime structure, framework fit, module boundaries, or service organization.

Audit milestone completion against original intent before archiving

Archive completed milestone and prepare for next version

Produces clean, functional code that matches the architecture and checklists.

AWS development with infrastructure automation and cloud architecture patterns

Create process and architecture diagrams using Mermaid.js syntax

Generates detailed, technology-agnostic implementation blueprints by analyzing project architecture, technology stacks, and data flow patterns.

Designs distributed system architectures, decomposes monoliths into bounded-context services, recommends communication patterns, and produces service boundary diagrams and resilience strategies.

Create, extract, flatten, list, test, install, and script tzst CLI workflows for .tzst or .tar.zst archives, including compression levels, streaming mode, extraction filters, conflict resolution, and JSON output.

Organizes Flutter code into domain, data, and presentation layers with unidirectional dependencies, using BLoC, use cases, and repository patterns for testable, maintainable enterprise applications.

Manage AWS cloud optimization and cost savings with nOps, including ShareSave analysis, commitment management, well-architected reviews, idle resource detection, and cost dashboards.

Split an idea or active research path into two or more new research product-path stubs after alignment approval; preserves the source path by default and archives it only when --archive is passed

Use when reading or writing files under ~/Notes/Projects/, starting a new project, or archiving a finished one. Covers folder layout, the board file, supporting notes, and the project lifecycle across Future/, Projects/, and Archive/.

autonomous architecture design and refinement for mermate using iterative copilot guidance, local reasoning, repeated low-cost render validation, and final max-quality render selection. use when building, stress-testing, refining, decomposing, validating, or evolving system architectures from simple ideas, complex problem statements, markdown specifications, mermaid drafts, or ambiguous design notes. especially useful when chatgpt should act like a professional architect that thinks step by step, uses mermate repeatedly, compares intermediate diagrams, and decides when to continue refining versus when to finalize with max mode.

Diagnose whether an AI workflow suffers from context stuffing or benefits from context engineering, and apply structured techniques to improve reliability.