{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/5"}],"enrichment":{"capability":"Parses code, docs, PDFs, images, and video into a queryable knowledge graph for AI coding assistants, using tree-sitter AST for deterministic code analysis and optional semantic passes for other media.","skillfed_tags":["knowledge-graph","code-analysis","ai-assistant-integration"],"use_cases":["Map a large unfamiliar codebase to understand its architecture, key concepts, and how components connect without manually reading files.","Query a knowledge graph to find how two unrelated functions or classes are connected, or trace the path between them.","Generate a markdown report of surprising connections and suggested questions about a project's structure for onboarding or documentation.","Index code, docs, PDFs, and images together so you can ask questions that span multiple media types within a single graph.","Commit a project-scoped graph to version control so teammates can query the same knowledge graph without re-parsing the codebase."],"what_it_does":"Graphifyy is a CLI tool that transforms a folder of source code, documentation, images, and video into an interactive knowledge graph you can query instead of searching files. It uses tree-sitter to parse code deterministically into an AST\u2014no LLM involved, nothing leaves your machine\u2014and optionally adds semantic analysis of non-code media via your AI assistant's model or a configured backend. The result is three files: an interactive HTML graph, a markdown report of key concepts and connections, and a JSON graph you can query later.\n\nThe package integrates as a skill into popular AI coding assistants (Claude Code, Cursor, Codex, Gemini CLI, and others) so you can invoke it with a slash command. Every edge in the graph is tagged as either EXTRACTED (explicit in source code) or INFERRED (resolved by graphify), so you know what was read directly versus inferred. It detects communities within the graph, identifies highly-connected nodes, and resolves cross-file relationships like calls, imports, inheritance, and mixins across multiple languages.","worth_installing":"Yes, if you use an AI coding assistant and want to explore or understand a codebase faster than grepping or reading files. The local-first code parsing, permissive license, and active maintenance make it low-risk. Install friction is minimal (pure Python wheel, standard dependencies). No security vulnerabilities reported. Start with a small project to verify the graph quality matches your needs."},"id":"graphifyy","links":{"html":"https://skillfed.io/packages/graphifyy","md":"https://skillfed.io/packages/graphifyy.md","pypi":"https://pypi.org/project/graphifyy/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-14","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"graphifyy","python_support":"supports_current","summary":"AI coding assistant skill (Claude Code, CodeBuddy, Codex, OpenCode, Kilo Code, Cursor, Gemini CLI, Aider, OpenClaw, Factory Droid, Trae, Hermes, Kiro, Pi, Devin CLI, Google Antigravity) - turn any folder of code, docs, papers, images, or videos into a queryable knowledge graph"},"popularity":{"monthly_downloads":1834260,"position":3506,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.9.43"}