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kavak-documentation卡瓦克文档

Agent Skill

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

总安装

324

周安装

13

GitHub Stars

公开资料未说明

下载量

105
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:kavak-documentation(卡瓦克文档)
来源仓库:https://github.com/carvalab/k-skills
仓库路径:skills/kavak-documentation
安装命令:
npx skills add https://github.com/carvalab/k-skills --skill kavak-documentation
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/carvalab/k-skills --skill kavak-documentation

简介

kavak-documentation 用于辅助文档、README、Markdown 和内容稿件的整理与改写。

  • 适合提炼结构、补齐章节、统一术语或检查链接等文档优化场景。
  • 使用时需保留项目已有事实,避免将未确认信息写成确定结论。
  • 涉及对外文案时应控制语气,避免过度营销或夸大能力。
  • 通过 npx skills add 命令从 GitHub 仓库安装,需结合原始 README 确认具体用法。

SKILL.md

Kavak Documentation

Search Kavak's internal documentation first via platform_docs_search and search_resource MCP tools, then complement with other sources.

Related Skills: - backend-development - After finding Kavak patterns, implement using backend best practices - Check references/ folder for detailed Kavak implementation guides

Core Principle

Search Kavak docs first, always. Internal platform knowledge reduces agent errors and ensures proper Kavak patterns.

When to Use

  • Planning new features or architecture
  • Architecture, kbroker, STS, SDKs, databases
  • Creating new services/workloads (Go, TypeScript, Python, Java)
  • GitLab CI/CD pipelines and configurations
  • Docker/container configurations
  • Development workflow, logs, metrics best practices
  • Kavak CLI usage/installation

Quick Start

  1. Verify kavak-platform MCP is configured
  2. Use platform_docs_search for documentation queries and search_resource for workload/infrastructure info
  3. Complement results with other tools as needed

Workflow

1. Check MCP Availability

Ensure kavak-platform MCP server is enabled. If MCP is unavailable, fall back to: searching kavak-it repos via gitlab_code_search/gitlab_file_content, or checking the project's existing patterns as the next best source of truth.

2. Query Documentation

Rules for platform_docs_search:

  • One question per call (avoid compound questions)
  • Use llm: true for synthesized answers, llm: false for raw doc chunks
  • Run multiple queries in parallel when you have several questions

Good queries:

"How to create a new Go workload?"
"What is kbroker and how to publish events?"
"How does STS authentication work?"
"What are the logging best practices?"
"How to configure GitLab CI pipeline for a Go service?"
"What is the standard Dockerfile for TypeScript services?"
"How to set up container registry in GitLab?"

Bad queries:

"Tell me about architecture, kbroker, and how to create services"  # Too many topics
"Explain everything about the platform"  # Too broad

3. Interpret Results

The response comes from an LLM - extract key information and apply to your context.

4. Complement if Needed

After Kavak docs, use additional sources:

  • Context7 for external library docs
  • Web search for general patterns
  • Codebase search for existing implementations

Topics & References

TopicExample QueryReference
Architecture"What is the platform architecture?"-
Kbroker (pub/sub)"How to publish events with kbroker?"references/kbroker.md
STS (auth)"How does secure token service work?"references/microservice-auth.md
Workload creation"How to scaffold a new TypeScript service?"references/workload-config.md
SDKs"What internal SDKs are available?"references/logging-metrics.md
Databases"Database best practices for platform?"-
Logs & Metrics"How to implement structured logging?"references/logging-metrics.md
CLI"How to install and use kavak CLI?"-
GitLab CI/CD"How to configure GitLab pipeline for deployment?"references/gitlab-ci.md
Docker"What is the standard Dockerfile template?"references/docker-images.md
Container Registry"How to push images to Kavak registry?"references/docker-images.md
Pipeline Stages"What are the required CI stages for a service?"references/gitlab-ci.md
Job Queues"How to implement rate limiting?"references/queues-ratelimit.md

CI/CD & Docker Queries

When working with pipelines or containers, query these topics:

"What is the standard .gitlab-ci.yml template?"
"How to configure multi-stage Docker builds?"
"What are the required pipeline stages for production?"
"How to configure environment variables in CI?"
"What base images should I use for Go/TypeScript/Python?"
"How to set up automated testing in GitLab CI?"
"How to configure deployment to staging/production?"

Anti-Patterns

  • Skipping Kavak docs and going straight to external sources
  • Asking multiple questions in one query
  • Writing overly long or vague queries
  • Ignoring platform-specific patterns in favor of generic solutions
  • Using generic Dockerfile templates instead of Kavak standards
  • Copying CI configs from external projects without checking Kavak patterns

References

ReferenceWhen to Use
references/kbroker.mdPublish/subscribe events between services
references/queues-ratelimit.mdJob queues, rate limiting with River/pg-boss
references/microservice-auth.mdAuthenticate between services (STS)
references/gitlab-ci.mdSet up kavak-it/ci-jobs v3 pipelines
references/docker-images.mdBuild with docker-debian base
references/workload-config.mdConfigure .kavak/ dir, cron jobs
references/logging-metrics.mdUse kvklog, kvkmetric SDKs

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

Codex

37.58%
按下载量换算39

Claude

32.7%
按下载量换算34

Cursor

17.3%
按下载量换算18

Gemini CLI

10.33%
按下载量换算11

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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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