WCAG 2.2 AA compliance, ARIA patterns, keyboard navigation, screen reader optimization
日本語の概要は準備中です。原文の説明を表示しています。
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.
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
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.
~/bin/codebase-memory-mcp or via npm)~/.mcp.json:{
"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 |
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
WCAG 2.2 AA compliance, ARIA patterns, keyboard navigation, screen reader optimization
日本語の概要は準備中です。原文の説明を表示しています。
axe-core integration, WCAG 2.2 AA checklist, keyboard navigation testing, screen reader testing, and ARIA pattern validation.
日本語の概要は準備中です。原文の説明を表示しています。
Steam-style achievement system with XP, levels, streaks, and skill trees. Gamifies the development workflow. 25 achievements across 5 categories.
日本語の概要は準備中です。原文の説明を表示しています。
Framework for measuring and tracking agent response quality over time. Detects regressions before they reach production. Use when evaluating agent changes, auditing quality, or establishing performance baselines.
日本語の概要は準備中です。原文の説明を表示しています。
Agent Context Isolation
日本語の概要は準備中です。原文の説明を表示しています。
Agent ve skill dosyalarinin yapisal dogrulamasi. Frontmatter kontrol, naming convention, zorunlu bolum kontrolu, tutarlilik denetimi. Yeni agent/skill eklendiginde veya mevcut dosyalar duzenlediginde otomatik calistirilir.
日本語の概要は準備中です。原文の説明を表示しています。