WCAG 2.2 AA compliance, ARIA patterns, keyboard navigation, screen reader optimization
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
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 |
还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
WCAG 2.2 AA compliance, ARIA patterns, keyboard navigation, screen reader optimization
中文简介正在准备中。当前显示原文说明。
axe-core integration, WCAG 2.2 AA checklist, keyboard navigation testing, screen reader testing, and ARIA pattern validation.
中文简介正在准备中。当前显示原文说明。
Steam-style achievement system with XP, levels, streaks, and skill trees. Gamifies the development workflow. 25 achievements across 5 categories.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
Agent Context Isolation
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。