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tavus-cvi-knowledge塔乌斯 CVI 知识

Agent Skill

tavus-cvi-knowledge 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

648

周安装

27

GitHub Stars

5

下载量

216
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:tavus-cvi-knowledge(塔乌斯 CVI 知识)
来源仓库:https://github.com/tavus-engineering/tavus-skills
仓库路径:skills/tavus-cvi-knowledge
安装命令:
npx skills add https://github.com/tavus-engineering/tavus-skills --skill tavus-cvi-knowledge
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/tavus-engineering/tavus-skills --skill tavus-cvi-knowledge

简介

Tavus CVI 知识检索模块,整合结构化数据源进行智能查询。

  • 适用于企业内部知识库搜索、文档索引或 FAQ 匹配任务。
  • 基于 tavus-engineering 项目构建,兼容多种 AI 宿主平台。
  • 需注意敏感数据的脱敏处理和访问控制策略。
  • tavus-cvi-knowledge 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Tavus CVI Knowledge Base & Memories

Give your personas access to documents and persistent memory.

Knowledge Base (RAG)

Upload documents that personas can reference during conversations.

Step 1: Create Document

curl -X POST https://tavusapi.com/v2/documents \
  -H "Content-Type: application/json" \
  -H "x-api-key: YOUR_API_KEY" \
  -d '{
    "document_name": "Product FAQ",
    "document_url": "https://example.com/faq.pdf",
    "tags": ["support", "faq"]
  }'

Response:

{
  "document_id": "d1234567890",
  "status": "processing"
}

Supported Sources

  • PDFs: Direct URL to PDF file
  • Text files: Plain text documents
  • Websites: Single page or crawled

Website Crawling

Single page (default):

{
  "document_name": "Landing Page",
  "document_url": "https://example.com/features"
}

Multi-page crawl:

{
  "document_name": "Full Docs",
  "document_url": "https://docs.example.com",
  "crawl_pages": true
}

Step 2: Use in Conversation

By document IDs:

{
  "persona_id": "p123",
  "replica_id": "r456",
  "document_ids": ["d1234567890", "d0987654321"]
}

By tags:

{
  "persona_id": "p123",
  "replica_id": "r456",
  "document_tags": ["support", "faq"]
}

Attach to Persona (Always Available)

Documents available in ALL conversations with this persona:

curl -X POST https://tavusapi.com/v2/personas \
  -H "Content-Type: application/json" \
  -H "x-api-key: YOUR_API_KEY" \
  -d '{
    "persona_name": "Support Agent",
    "pipeline_mode": "full",
    "system_prompt": "You are a helpful support agent...",
    "document_ids": ["d1234567890"],
    "document_tags": ["support"]
  }'

Retrieval Strategy

Optimize search speed vs quality:

{
  "persona_id": "p123",
  "document_ids": ["d123"],
  "retrieval_strategy": "balanced"
}

Options:

  • speed - Fastest, good for simple lookups
  • quality - Best results, slower
  • balanced - Default, good tradeoff

Manage Documents

# List documents
curl https://tavusapi.com/v2/documents \
  -H "x-api-key: YOUR_API_KEY"

# Get document status
curl https://tavusapi.com/v2/documents/{document_id} \
  -H "x-api-key: YOUR_API_KEY"

# Delete document
curl -X DELETE https://tavusapi.com/v2/documents/{document_id} \
  -H "x-api-key: YOUR_API_KEY"

Memories (Persistent Context)

Remember information across conversations with the same user.

How It Works

  1. Assign a memory_store key to a conversation
  2. Persona forms memories during conversation
  3. Future conversations with same key access those memories

Create Conversation with Memory

{
  "persona_id": "p123",
  "replica_id": "r456",
  "memory_stores": ["user_alice_persona_sales"]
}

Memory Store Naming

Use consistent, unique identifiers:

  • user_{user_id}_persona_{persona_id} - Per user, per persona
  • user_{user_id} - Per user across personas
  • session_{session_id} - Per session

Important: Don't use persona names in keys (they might change).

Example: Returning User

First conversation:

{
  "persona_id": "p_coach",
  "memory_stores": ["user_alice_coaching"]
}

User mentions: "I'm training for a marathon in April."

Second conversation (days later):

{
  "persona_id": "p_coach",
  "memory_stores": ["user_alice_coaching"]
}

Persona remembers the marathon goal and can reference it.

Multiple Memory Stores

Share memories across contexts:

{
  "persona_id": "p123",
  "memory_stores": [
    "user_alice_global",
    "user_alice_sales_specific"
  ]
}

Use Case: Multi-Persona Memory

User talks to Sales persona, then Support persona:

// Sales conversation
{
  "persona_id": "p_sales",
  "memory_stores": ["user_alice"]
}

// Support conversation (later)
{
  "persona_id": "p_support",
  "memory_stores": ["user_alice"]
}

Support persona knows what Sales discussed.


Combining Knowledge + Memories

Full-featured support agent:

# Create persona with knowledge base
curl -X POST https://tavusapi.com/v2/personas \
  -H "Content-Type: application/json" \
  -H "x-api-key: YOUR_API_KEY" \
  -d '{
    "persona_name": "Premium Support",
    "pipeline_mode": "full",
    "system_prompt": "You are a premium support agent. Reference the knowledge base for product info. Remember user preferences and past issues.",
    "document_tags": ["support", "product-docs"],
    "default_replica_id": "rfe12d8b9597"
  }'
# Start conversation with user memory
curl -X POST https://tavusapi.com/v2/conversations \
  -H "Content-Type: application/json" \
  -H "x-api-key: YOUR_API_KEY" \
  -d '{
    "persona_id": "p_premium_support",
    "memory_stores": ["user_12345_support"],
    "document_ids": ["d_urgent_issue_docs"]
  }'

Now the persona can:

  • Look up product info from documents
  • Remember this user's past issues
  • Build on previous conversations

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude

33.01%
按下载量换算71

Codex

32.47%
按下载量换算70

Cursor

17.18%
按下载量换算37

Gemini CLI

8.97%
按下载量换算19

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

未通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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