用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/yanacuti1121/Yana-AI --skill supermemory命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Sovereign-grade safety OS for AI coding agents. 62 hooks, 2,025 skills, L1 memory, circuit breakers, and cross-engine enforcement — blocks rm -rf, force push, pipe-to-shell, and 40+ attack vectors before they reach your repo.
Use when the user wants to generate or keep repository documentation up to date via OpenWiki (langchain-ai/openwiki) — an LLM-driven CLI that writes a wiki for a codebase (or a personal knowledge base from Notion/Gmail/Slack/X/web search) and keeps it fresh via a scheduled CI pull request. Examples: "set up OpenWiki for this repo", "keep the docs updated automatically", "generate an agent wiki".
Use when implementing the core AR pipeline (camera pose estimation, marker tracking, projection overlay) from first principles — not when just using ARKit/ARCore/Unity's AR framework as a black box. Triggers on: 'build augmented reality from scratch', 'marker-based AR tracking', 'camera pose estimation', 'implement fiducial marker detection', 'AR projection matrix math', 'markerless AR tracking'. Covers marker-based vs markerless tracking, pose estimation, and the projection math to overlay 3D content on a camera feed.
基于 SOC 职业分类
正在显示 SKILL.md
| name | supermemory |
| description | Persistent memory + RAG + User Profile cho AI agents. |
| triggers | ["supermemory","persistent memory","nhớ qua session","AI memory","long-term memory","user profile AI","RAG search","tìm kiếm ngữ nghĩa","agent memory"] |
Source: github.com/supermemoryai/supermemory ⭐24k
API: api.supermemory.ai
MCP: mcp.supermemory.ai/mcp
Benchmark: #1 LongMemEval · LoCoMo · ConvoMem
# Thêm MCP server vào Claude Code
npx -y install-mcp@latest https://mcp.supermemory.ai/mcp --client claude --oauth=yes
Hoặc thêm thủ công vào ~/.claude/settings.json:
{
"mcpServers": {
"supermemory": {
"url": "https://mcp.supermemory.ai/mcp",
"headers": {
"Authorization": "Bearer sm_YOUR_API_KEY"
}
}
}
}
Lấy API key: app.supermemory.ai
from supermemory import Supermemory
client = Supermemory(api_key=os.environ["SUPERMEMORY_API_KEY"])
# Lưu memory sau mỗi conversation
client.add(
content="Anh Tâm thích Rust hơn Java, đang dùng Cloud Shell",
container_tag="tam_profile",
metadata={"type": "preference", "date": "2026-06-03"}
)
# Tìm context liên quan
context = client.profile(
container_tag="tam_profile",
query="thói quen làm việc"
)
print(context.profile) # user profile tự generate
print(context.memories) # relevant memories
# Upload tài liệu
client.add(content=open("guide.md").read(), container_tag="yamtam_docs")
# Search hybrid (semantic + keyword)
results = client.search(query="cách cài headroom", container_tag="yamtam_docs")
for r in results.results:
print(r.content[:200])
# Profile tự build từ memories, cập nhật liên tục
profile = client.profile(container_tag="tam_profile")
# → stable facts + recent activity combined
| YAMTAM hiện tại | Supermemory thay thế |
|---|---|
core/scripts/add-fact.sh | client.add(content, container_tag) |
| L1 INDEX.md manual | client.profile() tự generate |
| grep search trong .md files | client.search() semantic |
| Session context bị mất | Persistent across sessions |
# Kết nối Google Drive → tự sync
client.connectors.create(type="google_drive", credentials=...)
# GitHub repo sync
client.connectors.create(type="github", repo="yana-ai")
Supported: Google Drive · Gmail · Notion · OneDrive · GitHub
pip install supermemory # Python
npm install supermemory # TypeScript/Node
memory/ manual markdown files