accessibility-patterns
WCAG 2.2 AA compliance, ARIA patterns, keyboard navigation, screen reader optimization
Knowledge graph integration for token-efficient codebase understanding. Uses codebase-memory MCP for AST indexing, dependency graphs, and smart context selection. 6-71x token savings vs raw file reading.
$ npx -y skills add vibeeval/vibecosystem --skill knowledge-graph --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/knowledge-graphContext preview
The summary Claude sees to decide when to auto-load this skill.
Knowledge graph integration for token-efficient codebase understanding. Uses codebase-memory MCP for AST indexing, dependency graphs, and smart context selection. 6-71x token savings vs raw file reading.
name: knowledge-graph description: "Knowledge graph integration for token-efficient codebase understanding. Uses codebase-memory MCP for AST indexing, dependency graphs, and smart context selection. 6-71x token savings vs raw file reading."
Transform any codebase into a queryable knowledge graph using codebase-memory MCP server. Instead of reading entire files, query the graph for exactly the context you need.
**Token savings:** 6-71x reduction compared to raw file reading.
{
"mcpServers": {
"codebase-memory": {
"command": "/path/to/codebase-memory-mcp",
"args": []
}
}
}mcp__codebase-memory__index_repository project_name: "my-project" repo_path: "/path/to/repo"
First index takes 30-120s depending on repo size. Subsequent updates are incremental.
mcp__codebase-memory__index_status project_name: "my-project"
mcp__codebase-memory__search_code project_name: "my-project" query: "authentication middleware"
Returns relevant code snippets without reading entire files.
mcp__codebase-memory__get_architecture project_name: "my-project"
Returns high-level architecture: modules, dependencies, entry points.
mcp__codebase-memory__trace_call_path project_name: "my-project" from_symbol: "handleLogin" to_symbol: "validateToken"
mcp__codebase-memory__query_graph project_name: "my-project" query: "what depends on auth module?"
| Scenario | Without Graph | With Graph | |----------|--------------|------------| | Code review | Read all changed files + imports | Query impact of changes | | Bug investigation | Read 10-20 files manually | Trace call path to bug | | Refactoring | Read entire module | Query all dependents | | Architecture review | Read project top-down | Get architecture overview |
Before reviewing, query the graph for the blast radius of changes:
search_code("functions that call {changed_function}")Get architecture overview before proposing changes:
get_architecture("project")Trace call paths to understand bug propagation:
trace_call_path("buggy_function", "entry_point")| Operation | Raw Reading | Graph Query | Savings | |-----------|-----------|-------------|---------| | Find all callers of function | ~50K tokens | ~700 tokens | 71x | | Architecture overview | ~200K tokens | ~3K tokens | 67x | | Impact analysis for PR | ~30K tokens | ~2K tokens | 15x | | Find related tests | ~20K tokens | ~1.5K tokens | 13x |
Your AI software team. Built on Claude Code. vibecosystem turns Claude Code into a full AI software team — 138 specialized agents that plan, build, review, test, and learn from every mistake. No configuration needed — just install and code.
Repo: vibeeval/vibecosystem
WCAG 2.2 AA compliance, ARIA patterns, keyboard navigation, screen reader optimization
axe-core integration, WCAG 2.2 AA checklist, keyboard navigation testing, screen reader testing, and ARIA pattern validation.
Steam-style achievement system with XP, levels, streaks, and skill trees. Gamifies the development workflow. 25 achievements across 5 categories.
Framework for measuring and tracking agent response quality over time. Detects regressions before they reach production. Use when evaluating agent changes,…
Agent ve skill dosyalarinin yapisal dogrulamasi. Frontmatter kontrol, naming convention, zorunlu bolum kontrolu, tutarlilik denetimi. Yeni agent/skill…