AIP

AI-Native Workshop is a repository-based workshop for practicing AI-native software development workflows. Its curriculum covers voice coding, agent sessions, loops and measurable goals, Git worktrees, verification gates and hooks, adversarial review, and scheduled tasks. The repository includes setup skills, exercises, slides, a glossary, a facilitator guide, and an optional local `aie-coach` MCP server with seven tools for check-ins and setup scoring. Its setup workflow runs inside Claude Code and can install and verify Bun, the Codex CLI, and Git; the workshop is organized in four blocks covering voice, loops and goals, gates, and schedules.

Arize Skills is a set of installable skills for AI coding agents, maintained by Arize, that guides agents through adding observability, creating datasets, running experiments and evaluations, and optimizing prompts for LLM applications. The skills use the ax CLI to interact with Arize and include workflows for tracing and debugging applications, OpenInference-based instrumentation, dataset management, experiments, LLM-as-judge evaluators, annotations, prompt optimization, provider credentials, and production monitoring. They can be installed into agents such as Cursor, Claude Code, Codex, GitHub Copilot, and Windsurf through npx, the repository's installers, the ax CLI, or a Claude Code plugin. The repository is licensed under MIT.

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.

Agent Skills is an open-source collection of engineering workflows for AI coding agents, developed by Addy Osmani. It packages senior-engineering practices into skills covering the development lifecycle: defining specifications, planning, incremental implementation, testing and debugging, constraints, code review, web-performance auditing, code simplification, and shipping. Slash commands such as /spec, /plan, /build, /test, /review, and /ship activate the corresponding workflows, while skills can also activate automatically based on the work being performed. The /build workflow can generate a plan and implement its tasks in an approved pass, while retaining test-driven verification, individual commits, and pauses for failures or risky steps. It can be installed with the skills CLI or integrated into supported coding agents including Claude Code, Cursor, Codex, Copilot, and Cline.

Archify is an open-source agent skill and Node.js rendering and validation system that turns a codebase or system description into searchable, shareable interactive diagrams. It supports architecture, workflow, sequence, data-flow, and lifecycle diagrams and can be used with Cursor, Claude Code, Codex CLI, and OpenCode. Agents produce typed JSON intermediate representations, which Archify deterministically validates and compiles into self-contained HTML and SVG artifacts. The generated viewer supports node search, optional revision-verified source inspection, upstream and downstream reach tracing, route inspection, semantic-role comparisons, guided stories, themes, presets, and finite motion. Archify can compare two validated snapshots as Before, Delta, and After views, identifying added, removed, changed, moved, and rerouted facts. Its exports include PNG, SVG, WebM, and 1200×630 share cards; it can be installed as a global skill with `npx skills add tt-a1i/archify -g`.