Archify

Graphify is a command-line tool and agent skill that turns a codebase and related project materials—including documentation, SQL schemas, configuration files, PDFs, images, and videos—into a locally queryable knowledge graph. It uses deterministic, local tree-sitter AST parsing for code, while non-code materials can receive a semantic pass from the configured AI assistant or API key; it does not use embeddings or a vector store. Graphify labels graph edges as EXTRACTED when they are explicit in the source or INFERRED when resolved by the tool, and can generate a clickable graph.html visualization, a GRAPH_REPORT.md summary, and a graph.json representation for later queries. The CLI is installed as the graphifyy package, registered with `graphify install`, and invoked through `/graphify` in supported AI coding assistants such as Claude Code, Cursor, Codex, Gemini CLI, and GitHub Copilot. The project is developed by Graphify Labs and provides free, fully local code mapping; its homepage describes a separate Graphify platform available through early access.

icm-architect is a Claude skill that designs processes, ideas, and problems as ICM (Interpretable Context Methodology) workspaces, using folder structure as agent architecture, or restructures an existing folder, repository, or vault. Numbered folders encode sequencing, hierarchy scopes context, and plain Markdown files store state, allowing an agent to orient and act by reading the relevant files. In build mode, it extracts stages, human approval points, and stable versus per-run elements, then scaffolds a workspace using one of six forms: Pipeline, Umbrella, Record library, Knowledge bundle, Context map, or System map. In restructure mode, it audits files as catalog, contract, factory, product, or dead, proposes a migration map for approval, then migrates and validates the result. The walk test checks whether an agent with no prior memory can orient, act, and report status from the workspace alone. It can be installed as a Claude Code skill or uploaded to Claude applications, and is MIT licensed.

Epic Infographics is an open-source skill for AI agents that generates data-driven infographics as HTML/CSS scenes rather than stock dashboard templates. It guides the agent through audience and story-angle selection, visual-metaphor and design-language selection, scene composition, chart construction, rendering, and self-review. Charts are computed from explicit arithmetic, palettes undergo color-blind-safety checks, and a headless preflight script checks text collisions, clipping, canvas boundaries, and readable sizes. The skill can render still PNGs and animate the same HTML through CSS keyframes into MP4 or GIF output using Playwright, headless Chromium, and ffmpeg; its motion workflow treats animation as a layer on an approved still and reviews contact sheets of the result. It includes named design-language specifications, composition and chart references, HTML templates, render, and animation workflows.

Agent Skills is a curated skill registry and npm-based CLI for extending AI coding agents such as Claude Code, Cursor, Copilot, and Antigravity with packaged instructions, templates, and reference files. The CLI fetches a catalog, lets users search and select skills, caches downloads locally, and installs them to selected agents by copying or symlinking them at global or project scope; it also supports updating, removing, auditing, and managing cached skills. The repository describes the catalog as an open-source, human-curated library with CI static analysis, content hashing, lockfiles, path isolation, symlink guards, sanitization, audit logging, and Snyk Agent Scan checks. It also includes an MCP server that exposes progressive-disclosure tools for listing, searching, reading, and fetching skill files. The CLI source is MIT-licensed; maintainer-authored skills are generally CC BY 4.0, while third-party skills retain their own licenses.