alicloud-platform-devops▌
cinience/alicloud-skills · updated Apr 8, 2026
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Category: service
Category: service
Alibaba Cloud DevOps (Yunxiao)
Purpose
Use Alibaba Cloud DevOps OpenAPI to support:
- project, repository, and pipeline inventory
- work item and test resource inspection
- release and execution status checks
- metadata-driven API discovery before production changes
Prerequisites
- Configure least-privilege Alibaba Cloud credentials.
- Install Python SDK dependencies for local scripts:
python3 -m venv .venv
. .venv/bin/activate
python -m pip install -U alibabacloud_devops20210625 alibabacloud_tea_openapi
- Prefer environment variables:
ALICLOUD_ACCESS_KEY_IDALICLOUD_ACCESS_KEY_SECRET- optional
ALICLOUD_REGION_ID
AccessKey Priority
- Environment variables:
ALICLOUD_ACCESS_KEY_ID/ALICLOUD_ACCESS_KEY_SECRET/ALICLOUD_REGION_ID - Shared credentials file:
~/.alibabacloud/credentials
If region/environment is unclear, confirm with user before mutating operations.
Workflow
- Confirm target organization/project scope and change window.
- Run API discovery and confirm exact API names and required parameters.
- Execute read-only APIs first (
List*/Get*/Query*). - Run mutating APIs only after rollback and owner confirmation.
- Save outputs and evidence to
output/alicloud-platform-devops/.
API Discovery
- Product code:
devops - Default API version:
2021-06-25 - Metadata source:
https://api.aliyun.com/meta/v1/products/devops/versions/2021-06-25/api-docs.json
Minimal Executable Quickstart
python skills/platform/devops/alicloud-platform-devops/scripts/list_openapi_meta_apis.py
Optional arguments:
python skills/platform/devops/alicloud-platform-devops/scripts/list_openapi_meta_apis.py \
--product-code devops \
--version 2021-06-25 \
--output-dir output/alicloud-platform-devops
List projects (read-only):
python skills/platform/devops/alicloud-platform-devops/scripts/list_projects.py \
--organization-id <organization-id> \
--region cn-hangzhou \
--max-results 20 \
--output output/alicloud-platform-devops/projects.txt
List repositories (read-only):
python skills/platform/devops/alicloud-platform-devops/scripts/list_repositories.py \
--organization-id <organization-id> \
--region cn-hangzhou \
--page 1 \
--per-page 20 \
--output output/alicloud-platform-devops/repositories.txt
List pipelines (read-only):
python skills/platform/devops/alicloud-platform-devops/scripts/list_pipelines.py \
--organization-id <organization-id> \
--region cn-hangzhou \
--max-results 20 \
--output output/alicloud-platform-devops/pipelines.txt
Common Operation Map
- Project and membership:
CreateProject,GetProject,ListProjectMembers,UpdateProject - Code repository:
CreateRepository,GetRepository,ListRepositories,CreateMergeRequest - Pipeline and release:
CreatePipeline,GetPipeline,ListPipelines,RunPipeline - Work items and test:
CreateWorkitem,GetWorkitemDetail,ListTestCase,CreateTestCase
See references/api_quick_map.md for grouped APIs.
Script Catalog
scripts/list_openapi_meta_apis.py: fetch metadata and generate API inventory files.scripts/list_projects.py: list projects in one organization.scripts/list_repositories.py: list repositories in one organization.scripts/list_pipelines.py: list pipelines in one organization.
Validation
mkdir -p output/alicloud-platform-devops
for f in skills/platform/devops/alicloud-platform-devops/scripts/*.py; do
python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/alicloud-platform-devops/validate.txt
Pass criteria: command exits 0 and output/alicloud-platform-devops/validate.txt is generated.
Output And Evidence
- Save artifacts, command outputs, and API response summaries under
output/alicloud-platform-devops/. - Include key parameters (region/resource id/time range) in evidence files for reproducibility.
References
- Source list:
references/sources.md - API quick map:
references/api_quick_map.md - Operation templates:
references/templates.md
How to use alicloud-platform-devops on Cursor
AI-first code editor with Composer
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-platform-devops
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches alicloud-platform-devops from GitHub repository cinience/alicloud-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate alicloud-platform-devops. Access the skill through slash commands (e.g., /alicloud-platform-devops) 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.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
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.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 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▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★38 reviews- ★★★★★Mateo Rao· Dec 24, 2024
alicloud-platform-devops fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Ishan Harris· Dec 16, 2024
alicloud-platform-devops is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Pratham Ware· Dec 12, 2024
Keeps context tight: alicloud-platform-devops is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Carlos Thompson· Dec 12, 2024
Keeps context tight: alicloud-platform-devops is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Charlotte Diallo· Dec 8, 2024
Registry listing for alicloud-platform-devops matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Sofia Menon· Nov 27, 2024
Keeps context tight: alicloud-platform-devops is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Ishan Huang· Nov 7, 2024
alicloud-platform-devops reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Sakshi Patil· Nov 3, 2024
Registry listing for alicloud-platform-devops matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Jin Johnson· Nov 3, 2024
Registry listing for alicloud-platform-devops matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Maya Lopez· Oct 26, 2024
Registry listing for alicloud-platform-devops matched our evaluation — installs cleanly and behaves as described in the markdown.
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