Use when a user asks what the Alibaba Cloud Remote Skills Connector can do, which hosted Alibaba Cloud skills are currently available, or requests Alibaba Cloud capability onboarding; wants to inspect, query, diagnose, audit, create, deploy, configure, update, resize, restart, repair, restore, or delete Alibaba Cloud (阿里云/Aliyun) resources; uses Chinese triggers such as 查询, 诊断, 巡检, 创建, 删除, 更新, 升配, 扩缩容, 重启, and 修复; continues an existing AgentHub task; or troubleshoots this connector's discovery/authentication—even without a product name. Exclude other clouds, general knowledge/architecture/pricing questions, and requests for local CLI/SDK/OpenAPI/Terraform/ROS execution or code.
编程
Alibaba Cloud Skill Creator
试用Use when creating, migrating, or optimizing skills for this alicloud-skills repository. Use whenever users ask to add a new skill, import an external skill,...
它能做什么
Use when creating, migrating, or optimizing skills for this alicloud-skills repository. Use whenever users ask to add a new skill, import an external skill,...
技能文档
Category: tool
Alibaba Cloud Skill Creator
Repository-specific skill engineering workflow for alicloud-skills.
Use this skill when
- Creating a new skill under
skills/**. - Importing an external skill and adapting it to this repository.
- Updating skill trigger quality (
nameanddescriptionin frontmatter). - Adding or fixing smoke tests under
tests/**. - Running structured benchmark loops before merge.
Do not use this skill when
- The user only needs to execute an existing product skill.
- The task is purely application code under
apps/with no skill changes.
Repository constraints (must enforce)
- Skills live under
skills////. - Skill folder names use kebab-case and should start with
alicloud-. - Every skill must include
SKILL.mdfrontmatter withnameanddescription. skills/**/SKILL.mdcontent must stay English-only.- Smoke tests must be in
tests///-test/SKILL.md. - Generated evidence goes to
output//only. - If skill inventory changes, refresh README index with
scripts/update_skill_index.sh.
Standard deliverable layout
skills////
├── SKILL.md
├── agents/openai.yaml
├── references/
│ └── sources.md
└── scripts/ (optional)
tests///-test/
└── SKILL.md
Workflow
- Capture intent
- Confirm domain/subdomain and target skill name.
- Confirm whether this is new creation, migration, or refactor.
- Confirm expected outputs and success criteria.
- Implement skill changes
- For new skills: scaffold structure and draft
SKILL.md+agents/openai.yaml. - For migration from external repo: copy full source tree first, then adapt.
- Keep adaptation minimal but explicit:
- Replace environment-specific instructions that do not match this repo.
- Add repository validation and output discipline sections.
- Keep reusable bundled resources (
scripts/,references/,assets/).
- Add smoke test
- Create or update
tests/**/-test/SKILL.md. - Keep it minimal, reproducible, and low-risk.
- Include exact pass criteria and evidence location.
- Validate locally
Run script compile validation for the skill:
python3 tests/common/compile_skill_scripts.py \
--skill-path skills/// \
--output output/-test/compile-check.json
Refresh skill index when inventory changed:
scripts/update_skill_index.sh
Confirm index presence:
rg -n "" README.md README.zh-CN.md README.zh-TW.md
Optional broader checks:
make test
make build-cli
- Benchmark loop (optional, for major skills)
If the user asks for quantitative skill evaluation, reuse bundled tooling:
scripts/run_eval.pyscripts/aggregate_benchmark.pyeval-viewer/generate_review.py
Prefer placing benchmark artifacts in a sibling workspace directory and keep per-iteration outputs.
Definition of done
- Skill path and naming follow repository conventions.
- Frontmatter is complete and trigger description is explicit.
- Test skill exists and has objective pass criteria.
- Validation artifacts are saved under
output/. - README skill index is refreshed if inventory changed.
References
references/schemas.mdreferences/sources.md
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