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aws-redshift-skillsAWS redshift skills 部署

Agent Skill

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

总安装

4,382

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179

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下载量

1,418
OpenClaw

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

MIT-0

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:aws-redshift-skills(AWS redshift skills 部署)
来源仓库:https://github.com/danjin/aws-redshift-skills
安装命令:
openclaw skills install aws-redshift-skills
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install aws-redshift-skills

简介

管理 Redshift 集群与 Serverless 实例,执行 SQL 查询与元数据操作。

  • 支持快照备份、参数组调整与并发扩展配置变更。
  • 可结合 Data API 实现无服务器环境下的轻量级数据分析。
  • 生产环境操作前建议先创建快照以防数据丢失。
  • aws-redshift-skills 属于运维类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
aws-redshift-skills
description
|
version
1.0.0
metadata
openclaw
requires
env
bins
primaryEnv
AWS_REGION
emoji
🔴
homepage
https://github.com/danjin/aws-redshift-skills

AWS Redshift Skills

A Python skill for interacting with AWS Redshift across two deployment modes: Redshift Provisioned and Redshift Serverless, plus a shared Data API for SQL execution.

When to Use (Trigger Phrases)

Invoke this skill when the user mentions:

"List Redshift clusters"
"Create a Redshift cluster"
"Pause my Redshift cluster"
"List Redshift Serverless workgroups"
"Create a namespace"
"Run a SQL query on Redshift"
"Execute COPY from S3 to Redshift"
"UNLOAD data to S3"
"Check query status"
"List tables in Redshift"
"Describe Redshift table columns"
"Resize my Redshift cluster"

Any request involving Redshift Provisioned clusters/snapshots, Redshift Serverless workgroups/namespaces, or Data API SQL execution.

Feature List

Redshift Provisioned

  • Clusters: List, describe, create, delete, resize, pause, resume, reboot clusters
  • Snapshots: Create, describe, restore from, delete snapshots

Redshift Serverless

  • Workgroups: List, get, create, update, delete workgroups (RPU configuration)
  • Namespaces: List, get, create, delete namespaces (database configuration)

Redshift Data API

  • SQL Execution: Execute single or batch SQL statements (async or sync with polling)
  • Results: Get query results with pagination
  • Lifecycle: Describe statement status, list recent statements, cancel running queries
  • Metadata: List databases, schemas, tables; describe table columns
  • Data Movement: COPY from S3, UNLOAD to S3

Initial Setup

  1. Python 3.8+ with boto3>=1.26.0:
   pip install boto3>=1.26.0
  1. AWS credentials via boto3 default chain (env vars, config files, IAM roles).
  1. Environment variables (all optional, validated at point of use):
   export AWS_REGION="us-east-1"

   # Redshift Provisioned
   export REDSHIFT_CLUSTER_ID="my-cluster"
   export REDSHIFT_DATABASE="dev"
   export REDSHIFT_DB_USER="admin"

   # Redshift Serverless
   export REDSHIFT_WORKGROUP_NAME="my-workgroup"
   export REDSHIFT_NAMESPACE_NAME="my-namespace"

   # Shared
   export REDSHIFT_IAM_ROLE_ARN="arn:aws:iam::123456789:role/redshift-role"
   export REDSHIFT_S3_LOG_URI="s3://my-bucket/redshift-logs/"
   export REDSHIFT_SECRET_ARN="arn:aws:secretsmanager:us-east-1:123456789:secret:my-secret"

How to Manage Redshift

1. Redshift Provisioned

Traditional Redshift provisioned clusters with dedicated compute nodes.

  • Cluster & snapshot management: scripts/provisioned/redshift_provisioned_cli.py — 12 @tool functions
  • Detailed guide: references/provisioned/cluster_guide.md — Cluster lifecycle, node types, resize
  • Detailed guide: references/provisioned/snapshot_guide.md — Snapshot create/restore/share

2. Redshift Serverless

Fully managed serverless data warehouse with automatic scaling.

  • Workgroup & namespace management: scripts/serverless/redshift_serverless_cli.py — 9 @tool functions
  • Detailed guide: references/serverless/workgroup_guide.md — Workgroup management
  • Detailed guide: references/serverless/namespace_guide.md — Namespace management

3. Redshift Data API

SQL execution via the Data API. Works with both Provisioned and Serverless.

  • Query execution & metadata: scripts/data_api/redshift_data_cli.py — 12 @tool functions
  • Detailed guide: references/data_api/query_guide.md — SQL execution, COPY/UNLOAD

Available Scripts

ScriptDescription
scripts/provisioned/redshift_provisioned_cli.pyRedshift Provisioned @tool functions (12 tools)
scripts/serverless/redshift_serverless_cli.pyRedshift Serverless @tool functions (9 tools)
scripts/data_api/redshift_data_cli.pyRedshift Data API @tool functions (12 tools)
scripts/config/redshift_config.pyUnified configuration management
scripts/client/boto_client.pyboto3 client factory

References

DocumentDescription
references/provisioned/cluster_guide.mdRedshift Provisioned cluster management guide
references/provisioned/snapshot_guide.mdRedshift snapshot management guide
references/serverless/workgroup_guide.mdRedshift Serverless workgroup management guide
references/serverless/namespace_guide.mdRedshift Serverless namespace management guide
references/data_api/query_guide.mdRedshift Data API SQL execution guide

Requirements

  • When writing temporary files (scripts, notes, etc.), place them in the ./tmp folder.
  • When importing scripts packages, add the skill root to path: sys.path.append(${redshift_skill_root})
  • AWS credentials are handled by boto3's default credential chain — never pass access keys directly.
  • All configuration environment variables are optional and validated at the point of use.

Data Privacy & Trust

  • No credential storage: AWS credentials are resolved via boto3 default chain. No keys are stored or logged.
  • Secret masking: All functions automatically mask potential AWS credentials in output.
  • Read-only by default: Most operations are read-only queries. Write operations (cluster creation, deletion) require explicit user action.

External Endpoints

This skill connects to:

  • AWS Redshift API (redshift.{region}.amazonaws.com)
  • AWS Redshift Serverless API (redshift-serverless.{region}.amazonaws.com)
  • AWS Redshift Data API (redshift-data.{region}.amazonaws.com)
  • AWS S3 API (s3.{region}.amazonaws.com) — for COPY/UNLOAD operations

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

95.82%
按下载量换算1,359

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

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。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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