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Found 1,983 Skills
Build comprehensive ARCHITECTURE.md files for any repository following matklad's canonical guidelines. This skill should be used when creating codebase documentation that serves as a map for developers and AI agents, auditing existing repos for architectural understanding, or when users ask to 'document the architecture', 'create an architecture.md', or 'map this codebase'. Produces bird's eye views, ASCII/Mermaid diagrams, codemaps, invariants, and layer boundaries.
Multi-repository codebase exploration for library internals, architecture understanding, and implementation comparisons.
Knowledge base for designing, reviewing, and linting agentic AI infrastructure. Use when: (1) designing a new agentic system and need to choose patterns, (2) reviewing an existing agentic architecture ADR or design doc for gaps/risks, (3) applying the lint script to an ADR markdown file to get structured findings, (4) looking up a specific agentic pattern (prompt chaining, routing, parallelization, reflection, tool use, planning, multi-agent collaboration, memory management, learning/adaptation, MCP, goal setting, exception handling, HITL, RAG, A2A, resource optimization, reasoning techniques, guardrails, evaluation, prioritization, exploration/discovery). All rules and guidance are grounded in the PDF "Agentic Design Patterns" (482 pages).
Generates project context (code structure + architecture intent). Use when starting sessions, understanding codebase structure, onboarding to a project, after major refactoring, or delegating complex work to agents.
Validate Architecture Decision Records (ADR) against Layer 5 schema standards
Transform code into clean, testable architecture using SOLID principles, Clean Architecture, and proven design patterns
Initializes and maintains architecture artifacts with handoff-first context loading, lazy scoped updates, and compact JSON handoff output for workflow-driven invocations.
ASCII diagram patterns for architecture, workflows, file trees, and data visualizations. Use when creating terminal-rendered diagrams, box-drawing layouts, progress bars, swimlanes, or blast radius visualizations.
Analyzes code based on John Ousterhout's "A Philosophy of Software Design". Identifies unnecessary complexity, shallow modules, information leaks, and design problems. Use when reviewing architecture, PRs, refactoring, or asking about code quality.
Navigates C3 architecture docs and explores corresponding code to answer architecture questions. Use when the user asks: - "where is X", "how does X work", "explain X", "show me the architecture" - "find component", "what handles X", "diagram of X", "visualize X" - "describe X", "list components", "trace X", "flow of X" - References C3 IDs (c3-0, c3-1, adr-*) <example> Context: Project with .c3/ directory user: "explain what c3-101 does and how it connects to other components" assistant: "Using c3-query to navigate the architecture docs." </example> <example> Context: Project with .c3/ directory user: "show me a diagram of the C3 architecture" assistant: "Using c3-query to generate an architecture overview." </example> DO NOT use for changes (route to c3-change). DO NOT use for pattern artifact management — listing, creating, updating refs (route to c3-ref). Requires .c3/ to exist.
Perform systematic self-review of code changes before commits using structured checklist. Validates architecture boundaries, code quality, test coverage, documentation, and project-specific anti-patterns. Use before committing, creating PRs, or when user says "review my changes", "self-review", "check my code". Adapts to Python, JavaScript, TypeScript, Go, Rust projects.
Use only when the user explicitly requests brainstorming, evaluating architecture choices, or comparing options where no single concern dominates