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alicloud-network-alb▌

cinience/alicloud-skills · updated Apr 8, 2026

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$npx skills add https://github.com/cinience/alicloud-skills --skill alicloud-network-alb
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summary

Category: service

skill.md

Category: service

Application Load Balancer (ALB)

Use this skill for end-to-end ALB operations via local Python scripts and OpenAPI-compatible workflows.

Validation

mkdir -p output/alicloud-network-alb
for f in skills/network/slb/alicloud-network-alb/scripts/*.py; do
  python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/alicloud-network-alb/validate.txt

Pass criteria: command exits 0 and output/alicloud-network-alb/validate.txt is generated.

Output And Evidence

  • Save all command outputs, request parameters, and API responses under output/alicloud-network-alb/.
  • For change operations, keep before/after snapshots plus health-check results.

Prerequisites

pip install alibabacloud_alb20200616 alibabacloud_tea_openapi alibabacloud_credentials

Credential priority:

  1. ALICLOUD_ACCESS_KEY_ID / ALICLOUD_ACCESS_KEY_SECRET
  2. Optional STS token: ALICLOUD_SECURITY_TOKEN
  3. Shared config: ~/.alibabacloud/credentials

Workflow

  1. Confirm region, VPC context, target ALB resource IDs, and expected change window.
  2. Run inventory scripts first (list_*, get_*) and save baseline outputs.
  3. Apply one change at a time (listener/server-group/rule/lb lifecycle).
  4. Wait for async completion when needed (scripts/wait_for_job.py).
  5. Validate final state with health checks and state re-query.

Top task playbooks

1) Read-only inventory and quick diagnosis

python3 scripts/list_instances.py --region cn-hangzhou --json --output output/alicloud-network-alb/instances.json
python3 scripts/list_server_groups.py --region cn-hangzhou --json --output output/alicloud-network-alb/server-groups.json
python3 scripts/list_acls.py --region cn-hangzhou --json --output output/alicloud-network-alb/acls.json

2) Inspect one ALB and listener details

python3 scripts/get_instance_status.py --region cn-hangzhou --lb-id alb-xxx --view detail --output output/alicloud-network-alb/lb-detail.json
python3 scripts/list_listeners.py --region cn-hangzhou --lb-id alb-xxx --json --output output/alicloud-network-alb/listeners.json
python3 scripts/get_listener_attribute.py --region cn-hangzhou --listener-id lsn-xxx --output output/alicloud-network-alb/listener-attr.json

3) Validate traffic path health

python3 scripts/check_health_status.py --region cn-hangzhou --listener-id lsn-xxx --output output/alicloud-network-alb/health.json
python3 scripts/list_server_group_servers.py --region cn-hangzhou --server-group-id sgp-xxx --output output/alicloud-network-alb/server-group-members.json

4) Controlled change flow (example: update listener)

python3 scripts/update_listener.py --region cn-hangzhou --listener-id lsn-xxx --request-timeout 120 --output output/alicloud-network-alb/update-listener.json
python3 scripts/check_health_status.py --region cn-hangzhou --listener-id lsn-xxx --output output/alicloud-network-alb/health-after-update.json

5) Resource lifecycle operations

  • ALB lifecycle: create_load_balancer.py, delete_load_balancer.py, deletion_protection.py
  • Listener lifecycle: create_listener.py, start_listener.py, stop_listener.py, delete_listener.py
  • Server-group lifecycle: create_server_group.py, add_servers.py, remove_servers.py, delete_server_group.py
  • Rule lifecycle: create_rule.py, update_rule.py, delete_rule.py

References

  • API quick map: references/api_quick_map.md
  • Script catalog: references/scripts_catalog.md
  • Troubleshooting: references/troubleshooting.md
  • Logs and analysis: references/log-analysis.md
  • Dependencies/order: references/resource-dependencies.md
  • Sources: references/sources.md
how to use alicloud-network-alb

How to use alicloud-network-alb on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • ›Cursor installed and configured on your development machine
  • ›Node.js version 16.0+ with npm package manager (verify with node --version)
  • ›Active project directory or workspace where you want to add alicloud-network-alb
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/cinience/alicloud-skills --skill alicloud-network-alb

The skills CLI fetches alicloud-network-alb from GitHub repository cinience/alicloud-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/alicloud-network-alb

Reload or restart Cursor to activate alicloud-network-alb. Access the skill through slash commands (e.g., /alicloud-network-alb) or your agent's skill management interface.

⚠

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

List & Monetize Your Skill

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Use Cases▌

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

✓

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

✓

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

✓

Improve work quality by 30-40% with less effort

Implementation Guide▌

Prerequisites

  • ›Claude Desktop or compatible AI client with skill support
  • ›Clear understanding of task or problem to solve
  • ›Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • ⚠Expecting perfect results without iteration
  • ⚠Not providing enough context in prompts
  • ⚠Using skill for tasks outside its intended scope
  • ⚠Accepting outputs without review and validation

Best Practices▌

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • −Don't use without understanding skill limitations
  • −Don't skip validation of outputs
  • −Don't share sensitive information in prompts
  • −Don't expect skill to replace human judgment

💡 Pro Tips

  • ★Be specific about desired format and style
  • ★Ask for multiple options to choose from
  • ★Request explanations to understand reasoning
  • ★Combine AI efficiency with human expertise

When to Use This▌

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path▌

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.6★★★★★47 reviews
  • ★★★★★Henry Johnson· Dec 12, 2024

    Solid pick for teams standardizing on skills: alicloud-network-alb is focused, and the summary matches what you get after install.

  • ★★★★★Henry Thompson· Dec 8, 2024

    alicloud-network-alb fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • ★★★★★Layla Khanna· Dec 4, 2024

    Registry listing for alicloud-network-alb matched our evaluation — installs cleanly and behaves as described in the markdown.

  • ★★★★★Kwame Desai· Nov 27, 2024

    We added alicloud-network-alb from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • ★★★★★Sakshi Patil· Nov 23, 2024

    Solid pick for teams standardizing on skills: alicloud-network-alb is focused, and the summary matches what you get after install.

  • ★★★★★James Liu· Nov 23, 2024

    alicloud-network-alb reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Layla Chawla· Nov 23, 2024

    I recommend alicloud-network-alb for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Noor Gupta· Oct 18, 2024

    Keeps context tight: alicloud-network-alb is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Chaitanya Patil· Oct 14, 2024

    I recommend alicloud-network-alb for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Ira Sharma· Oct 14, 2024

    alicloud-network-alb is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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