/alibabacloud-tair-devtoolset
Alibaba Cloud Tair development toolkit — 7 capabilities covering architecture selection, data structure design, instance creation & configuration, connection management, performance monitoring, error troubleshooting, and backup & recovery. Executes real cloud operations via
$ npx -y skills add aliyun/alibabacloud-aiops-skills --skill alibabacloud-tair-devtoolset --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/alibabacloud-tair-devtoolset
Context preview
The summary Claude sees to decide when to auto-load this skill.
Alibaba Cloud Tair development toolkit — 7 capabilities covering architecture selection, data structure design, instance creation & configuration, connection management, performance monitoring, error troubleshooting, and backup & recovery. Executes real cloud operations via
SKILL.md
alibabacloud-tair-devtoolset.SKILL.mdname: alibabacloud-tair-devtoolset
description: |
Alibaba Cloud Tair development toolkit — 7 capabilities covering architecture selection, data structure design, instance creation & configuration, connection management, performance monitoring, error troubleshooting, and backup & recovery.
Executes real cloud operations via aliyun CLI (creating instances, modifying whitelists, managing backups, restoring data). Restore operations are high-risk and will overwrite current data. Ensure the RAM account has required permissions (see references/ram-policies.md).
Triggers: "tair", "create tair instance", "tair instance", "redis", "data structure", "backup", "PITR", "tair architecture", "tair connection", "tair error".
Tair DevToolset — Full-Lifecycle Tair Development Assistant
This Skill provides operational capabilities and development guidelines for **Alibaba Cloud Tair (Redis OSS-Compatible)** database, covering architecture selection, data structure design, instance creation, connection management, performance monitoring, error troubleshooting, and backup & recovery.
> **Note:** This Skill executes real cloud operations via aliyun CLI. Restore operations are high-risk and will overwrite current data. Ensure the RAM account has the [required permissions](references/ram-policies.md) before use.
Supported Capabilities
| Capability | Description | |------------|-------------| | Architecture Selection | Choose the right Tair architecture (Standard vs Cluster) and edition (Memory-optimized, Persistent memory, Disk-based) | | Data Structure Design | Select optimal Redis and Tair extended data structures for your use case | | Instance Creation | Create and configure Tair instances via aliyun CLI | | Connection Management | Connect via standalone/proxy/cluster modes with TLS support | | Performance Monitoring | Intelligent diagnostics via alibabacloud-tair-ai-assistant skill | | Error Troubleshooting | Diagnose and resolve common Tair connection, cluster, memory, and client errors | | Backup and Recovery | Configure backup policies, perform PITR, and restore data |
---
Part I — Cross-Cutting Concerns
1. Prerequisites
1.1 CLI Installation & Version
**Aliyun CLI >= 3.3.3 required.** Run `aliyun version` to verify. If not installed or version too low, see [references/cli-installation-guide.md](references/cli-installation-guide.md) for installation instructions.
# Enable automatic plugin installation (required for r-kvstore plugin)
aliyun configure set --auto-plugin-install true
# Update existing plugins to latest version
aliyun plugin update
# Verify jq is installed (required for JSON parsing in scripts)
jq --version
1.2 Authentication
All credential configurations follow existing aliyun CLI settings.
**Security Rules:**
- **NEVER** read, echo, or print AK/SK values (e.g., `echo $ALIBABA_CLOUD_ACCESS_KEY_ID` is FORBIDDEN)
- **NEVER** ask the user to input AK/SK directly in the conversation or command line
- **NEVER** use `aliyun configure set` with literal credential values
- **ONLY** use `aliyun configure list` to check credential status
aliyun configure list
**If no valid profile exists, STOP here.** Configure credentials outside of this session, then return.
1.3 AI-Mode Configuration
> **[MUST] Enable AI-Mode at the start** of any workflow (before any CLI invocation): > ```bash > aliyun configure ai-mode enable > aliyun configure ai-mode set-user-agent --user-agent "AlibabaCloud-Agent-Skills/alibabacloud-tair-devtoolset" > ```
> **[MUST] Disable AI-Mode at EVERY exit point** — before delivering the final response for ANY reason (success, failure, error, user cancellation, etc.). AI-mode MUST NOT remain enabled after the skill stops running. > ```bash > aliyun configure ai-mode disable > ```
2. Security & Compliance
2.1 User-Agent Requirement
Every `aliyun` CLI command invocation must include:
--user-agent AlibabaCloud-Agent-Skills/alibabacloud-tair-devtoolset
2.2 RAM Permissions
This Skill requires R-KVStore RAM permissions for instance management, backup, and recovery operations. See [references/ram-policies.md](references/ram-policies.md) for the full permission table and policy document.
> **[MUST] Permission Failure Handling:** When any command fails due to permission errors: > 1. Read `references/ram-policies.md` to get the full list of required permissions > 2. Use `ram-permission-diagnose` skill to guide the user through requesting permissions > 3. Pause and wait until the user confirms that the required permissions have been granted
3. Parameter Confirmation Rule
Before executing any command or API call, ALL user-customizable parameters (e.g., RegionId, instance names, passwords, resource specifications) **MUST be confirmed with the user**. Do NOT assume or use default values without explicit user approval.
---
Part II — Capabilities
4. Architecture Selection
Choose the right Tair architecture based on data volume, throughput requirements, and read/write ratio.
When to Use
- Deciding between Standard and Cluster architecture
- Determining whether read/write splitting is needed
- Selecting edition type (Memory-optimized, Persistent memory, Disk-based)
- Evaluating Tair vs Open Source Redis for a new project
Key Guidance
**Key Concepts:**
| Component | Description | |-----------|-------------| | Node | Smallest unit, runs Redis-compatible process | | Shard | Group of nodes storing a subset of data | | Master node | Handles write operations | | Replica node | Copy of master, provides failover | | Read-only node | Serves read traffic only (read/write splitting) | | Proxy node | Routes requests to appropriate nodes |
**Architecture Comparison:**
| Dimension | Standard | Cluster | |-----------|----------|---------| | Structure | One master + replicas | Multiple shards, each with master + replicas | | Data partitioning | No (single shard) | Yes (distributed across s
Read more
name: alibabacloud-tair-devtoolset description: | Alibaba Cloud Tair development toolkit — 7 capabilities covering architecture selection, data structure design, instance creation & configuration, connection management, performance monitoring, error troubleshooting, and backup & recovery. Executes real cloud operations via aliyun CLI (creating instances, modifying whitelists, managing backups, restoring data). Restore operations are high-risk and will overwrite current data. Ensure the RAM account has required permissions (see references/ram-policies.md). Triggers: "tair", "create tair instance", "tair instance", "redis", "data structure", "backup", "PITR", "tair architecture", "tair connection", "tair error".
Tair DevToolset — Full-Lifecycle Tair Development Assistant
This Skill provides operational capabilities and development guidelines for **Alibaba Cloud Tair (Redis OSS-Compatible)** database, covering architecture selection, data structure design, instance creation, connection management, performance monitoring, error troubleshooting, and backup & recovery.
> **Note:** This Skill executes real cloud operations via aliyun CLI. Restore operations are high-risk and will overwrite current data. Ensure the RAM account has the [required permissions](references/ram-policies.md) before use.
Supported Capabilities
| Capability | Description | |------------|-------------| | Architecture Selection | Choose the right Tair architecture (Standard vs Cluster) and edition (Memory-optimized, Persistent memory, Disk-based) | | Data Structure Design | Select optimal Redis and Tair extended data structures for your use case | | Instance Creation | Create and configure Tair instances via aliyun CLI | | Connection Management | Connect via standalone/proxy/cluster modes with TLS support | | Performance Monitoring | Intelligent diagnostics via alibabacloud-tair-ai-assistant skill | | Error Troubleshooting | Diagnose and resolve common Tair connection, cluster, memory, and client errors | | Backup and Recovery | Configure backup policies, perform PITR, and restore data |
---
Part I — Cross-Cutting Concerns
1. Prerequisites
1.1 CLI Installation & Version
**Aliyun CLI >= 3.3.3 required.** Run `aliyun version` to verify. If not installed or version too low, see [references/cli-installation-guide.md](references/cli-installation-guide.md) for installation instructions.
# Enable automatic plugin installation (required for r-kvstore plugin) aliyun configure set --auto-plugin-install true # Update existing plugins to latest version aliyun plugin update # Verify jq is installed (required for JSON parsing in scripts) jq --version
1.2 Authentication
All credential configurations follow existing aliyun CLI settings.
**Security Rules:**
- **NEVER** read, echo, or print AK/SK values (e.g., `echo $ALIBABA_CLOUD_ACCESS_KEY_ID` is FORBIDDEN)
- **NEVER** ask the user to input AK/SK directly in the conversation or command line
- **NEVER** use `aliyun configure set` with literal credential values
- **ONLY** use `aliyun configure list` to check credential status
aliyun configure list
**If no valid profile exists, STOP here.** Configure credentials outside of this session, then return.
1.3 AI-Mode Configuration
> **[MUST] Enable AI-Mode at the start** of any workflow (before any CLI invocation): > ```bash > aliyun configure ai-mode enable > aliyun configure ai-mode set-user-agent --user-agent "AlibabaCloud-Agent-Skills/alibabacloud-tair-devtoolset" > ```
> **[MUST] Disable AI-Mode at EVERY exit point** — before delivering the final response for ANY reason (success, failure, error, user cancellation, etc.). AI-mode MUST NOT remain enabled after the skill stops running. > ```bash > aliyun configure ai-mode disable > ```
2. Security & Compliance
2.1 User-Agent Requirement
Every `aliyun` CLI command invocation must include:
--user-agent AlibabaCloud-Agent-Skills/alibabacloud-tair-devtoolset
2.2 RAM Permissions
This Skill requires R-KVStore RAM permissions for instance management, backup, and recovery operations. See [references/ram-policies.md](references/ram-policies.md) for the full permission table and policy document.
> **[MUST] Permission Failure Handling:** When any command fails due to permission errors: > 1. Read `references/ram-policies.md` to get the full list of required permissions > 2. Use `ram-permission-diagnose` skill to guide the user through requesting permissions > 3. Pause and wait until the user confirms that the required permissions have been granted
3. Parameter Confirmation Rule
Before executing any command or API call, ALL user-customizable parameters (e.g., RegionId, instance names, passwords, resource specifications) **MUST be confirmed with the user**. Do NOT assume or use default values without explicit user approval.
---
Part II — Capabilities
4. Architecture Selection
Choose the right Tair architecture based on data volume, throughput requirements, and read/write ratio.
When to Use
- Deciding between Standard and Cluster architecture
- Determining whether read/write splitting is needed
- Selecting edition type (Memory-optimized, Persistent memory, Disk-based)
- Evaluating Tair vs Open Source Redis for a new project
Key Guidance
**Key Concepts:**
| Component | Description | |-----------|-------------| | Node | Smallest unit, runs Redis-compatible process | | Shard | Group of nodes storing a subset of data | | Master node | Handles write operations | | Replica node | Copy of master, provides failover | | Read-only node | Serves read traffic only (read/write splitting) | | Proxy node | Routes requests to appropriate nodes |
**Architecture Comparison:**
| Dimension | Standard | Cluster | |-----------|----------|---------| | Structure | One master + replicas | Multiple shards, each with master + replicas | | Data partitioning | No (single shard) | Yes (distributed across s
Official Alibaba Cloud Agent Skills collection, providing AI agents with rich Alibaba Cloud product capabilities and general-purpose tooling.
Other skills on alibabacloud-aiops-skills.
- /alibabacloud-agentbay-aio-skills
Execute code in a secure cloud sandbox via AgentBay SDK. Use this skill whenever users request to run, execute, or evaluate code (Python, JavaScript, R, Java), including plotting charts, running scripts, or viewing code output. Covers requests like "run this code", "execute
Open skill - /alibabacloud-agentloop-dataset
Operate Alibaba Cloud AgentLoop Dataset resources with aliyun CLI and the AgentLoop API version 2026-05-20. Use when requests concern AgentLoop datasets, data rows, Dataset schemas, embedding fields, semantic search, ExecuteQuery, AgentSpace data, 数据集, 数据写入, 数据查询, 语义检索, or ask
Open skill - /alibabacloud-agentloop-evaluation
Orchestrate AgentLoop evaluation workflows through the Aliyun CLI plugin with safe previews, saved evaluator and evaluator-skill management, one-shot sample tests, trace or dataset batch runs, polling, and result inspection. Analyze evaluation quality and low-score cases from
Open skill - /alibabacloud-agentloop-experience
Proactively use AgentLoop Recall to retrieve prior Alibaba Cloud AgentLoop experience through the bundled SearchContext CLI whenever the user asks or implies that prior work may help. Trigger for requests to check, search, recall, retrieve, look up, review, consult, reference,
Open skill - /alibabacloud-agentloop-management
AgentLoop APM接入 / AI可观测接入 / 应用监控接入 / 自研探针 / 探针安装. Use for Python aliyun-bootstrap (aliyun-instrument), Java AliyunJavaAgent, Golang instgo, Node.js cms_node_sdk, PHP/.NET OpenTelemetry, ack-onepilot, LicenseKey, AgentLoop workspace agentloop-*. Also for LangChain, Dify,
Open skill - /alibabacloud-avatar-video
Use Alibaba Cloud DashScope API and LingMou to generate AI video and speech. Seven capabilities — (1) LivePortrait talking-head (image + audio → video, two-step), (2) EMO talking-head, (3) AA/AnimateAnyone full-body animation (three-step), (4) T2I text-to-image (Wan 2.x, default
Open skill

