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AI Skills for Reaviz Projects

AI Skills for Reaviz Projects

AI Skills for Reaviz Projects

Automate Parma tasks via Rube MCP (Composio). Always search tools first for current schemas.

Rotational arch audit — scores systems, audits top-priority, packages spinoff candidates. Never edits code; updates Last-targeted-audit clock.

Analyze a collection of documents to build a knowledge map, identify themes, find gaps, duplicates, conflicts, and staleness, then produce an organized analysis with improvement recommendations. Designed for document ecosystems (cross-repo docs, research collections, mixed-format doc repos) where the challenge is understanding the landscape, not auditing against code.

Automate Printautopilot tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate SEO analysis with SEMrush -- research keywords, analyze domain organic rankings, audit backlinks, assess keyword difficulty, and discover related terms through the Composio SEMrush integration.

Python implementation and review skill. Use when writing, modifying, refactoring, or reviewing Python code, especially production Python that needs clear contracts, type safety, testability, and maintainable module boundaries. Portable across Python repos and tooling stacks.

Use when building interactive 2D or 3D graph or network visualizations in React with the reagraph library (GraphCanvas, node-link diagrams, force-directed layouts). Covers data shapes (GraphNode, GraphEdge), 16 layout algorithms, selection, lasso, camera controls, sizing strategies, and theming.

Domain-specific verification beyond tests, closing the feedback loop for web, API, CLI, data

Automate Nextdns tasks via Rube MCP (Composio). Always search tools first for current schemas.