addyosmani/agent-skills

Production-grade engineering skills for AI coding agents.

What is addyosmani/agent-skills?

addyosmani/agent-skills is a repository whose own project materials describe it as Production-grade engineering skills for AI coding agents. Skills encode the workflows, quality gates, and best practices that senior engineers use when building software. These ones are packaged so AI agents follow them consistently across every phase of development. This Graphify demo keeps addyosmani/agent-skills as the primary keyword while adding source-derived context, README signals, and an interactive code graph for deeper exploration.

Source: README.md at 0e63d8ea962e

Graphify architecture insights for addyosmani/agent-skills

addyosmani/agent-skills has a compact Graphify map with 86 nodes, 106 edges, and 14 communities. The graph turns addyosmani/agent-skills into an architecture map: dense communities point to related implementation areas, while high-degree nodes from the Graphify report are good starting points for code review, onboarding, and dependency exploration.

README-derived project notes

  • addyosmani/agent-skills is described by its project source as: Production-grade engineering skills for AI coding agents. Skills encode the workflows, quality gates, and best practices that senior engineers use when building software
  • The project README exposes reader-facing sections such as Commands, Quick Start, All 24 Skills, and Meta - Discover which skill applies, which helps explain how addyosmani/agent-skills is positioned and used
  • addyosmani/agent-skills was captured from the repository at commit 0e63d8ea962e and analyzed in code-only mode, so this page connects project documentation with the generated code graph
  • addyosmani/agent-skills is primarily a JavaScript project, which makes the graph useful for understanding important files, modules, and dependency relationships before opening the source tree

Related code graphs

Graphify report highlights

Summary

  • 86 nodes · 106 edges · 14 communities (9 shown, 5 thin omitted)
  • Extraction: 98% EXTRACTED · 2% INFERRED · 0% AMBIGUOUS · INFERRED: 2 edges (avg confidence: 0.65)
  • Token cost: 0 input · 0 output

God nodes

  • runDeterministic() - 7 edges
  • rankSkills() - 6 edges
  • tokenize() - 5 edges
  • loadCommands() - 5 edges
  • buildCorpus() - 4 edges
  • validateSkill() - 4 edges

Surprising connections

  • loadCommands() --indirect_call--> stem() [INFERRED]

FAQ about addyosmani/agent-skills

What is addyosmani/agent-skills?

addyosmani/agent-skills is described by its repository as Production-grade engineering skills for AI coding agents. Skills encode the workflows, quality gates, and best practices that senior engineers use when building software. These ones are packaged so AI agents follow them consistently across every phase of development. This page adds a Graphify code graph so readers can inspect how the project is structured.

What does the addyosmani/agent-skills Graphify graph show?

addyosmani/agent-skills has a compact Graphify map with 86 nodes, 106 edges, and 14 communities. It highlights communities, important nodes, and relationships extracted from the captured source commit.

Why use Graphify to explore addyosmani/agent-skills?

Graphify gives addyosmani/agent-skills a visual architecture layer, making it easier to find central files, understand module boundaries, and decide where to start reading the code.

Where did the addyosmani/agent-skills page content come from?

The project notes are derived from README.md at 0e63d8ea962e, repository metadata, and the Graphify report generated for the captured commit.

Editorial review · repository graph

What this page is based on

The graph is an observed repository artifact; the selected snapshot date defines what was inspected.

Review basis
repository graph record and linked primary evidence
Last checked
Jul 9, 2026
Evidence links
3 recorded in the page data

Source snapshot is 93 days old; verify upstream details before relying on pricing, availability, or security claims.