dojo.md
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
Automatically review latest Alibaba Cloud product docs and OpenAPI docs by product name, then output detailed prioritized improvement suggestions with evidence and scoring. Use when user asks to audit product documentation quality, API documentation quality, or wants actionable doc/API optimization recommendations.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install cinience/alicloud-platform-docs-api-reviewInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Use this skill when the user gives a product name and asks for an end-to-end documentation/API quality review.
Run the bundled script:
python skills/platform/docs/alicloud-platform-docs-api-review/scripts/review_product_docs_and_api.py --product "<product name or product code>"
Example:
python skills/platform/docs/alicloud-platform-docs-api-review/scripts/review_product_docs_and_api.py --product "ECS"
All generated artifacts must be written under:
output/alicloud-platform-docs-api-review/
For each run, the script creates:
review_evidence.json
review_report.md
When answering the user:
mkdir -p output/alicloud-platform-docs-api-review
for f in skills/platform/docs/alicloud-platform-docs-api-review/scripts/*.py; do
python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/alicloud-platform-docs-api-review/validate.txt
Pass criteria: command exits 0 and output/alicloud-platform-docs-api-review/validate.txt is generated.
output/alicloud-platform-docs-api-review/.ALICLOUD_ACCESS_KEY_ID, ALICLOUD_ACCESS_KEY_SECRET,...These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# Alibaba Cloud Product Docs + API Docs Reviewer Use this skill when the user gives a product name and asks for an end-to-end documentation/API quality review. ## What this skill does 1) Resolve product from latest OpenAPI metadata. 2) Fetch latest API docs for default version. 3) Discover product/help-doc links from official product page. 4) Produce a structured review report with: - score - evidence - prioritized suggestions (P0/P1/P2) ## Workflow Run the bundled script: ```bash python skills/platform/docs/alicloud-platform-docs-api-review/scripts/review_product_docs_and_api.py --product "<product name or product code>" ``` Example: ```bash python skills/platform/docs/alicloud-platform-docs-api-review/scripts/review_product_docs_and_api.py --product "ECS" ``` ## Output policy All generated artifacts must be written under: `output/alicloud-platform-docs-api-review/` For each run, the script creates: - `review_evidence.json` - `review_report.md` ## Reporting guidance When answering the user: 1) State resolved product + version first. 2) Summarize the score and the top 3 issues. 3) List P0/P1/P2 recommendations with concrete actions. 4) Provide source links used in the report. ## Validation ```bash mkdir -p output/alicloud-platform-docs-api-review for f in skills/platform/docs/alicloud-platform-docs-api-review/scripts/*.py; do python3 -m py_compile "$f" done echo "py_compile_ok" > output/alicloud-platform-docs-api-review/validate.txt ``` Pass criteria: command exits 0 and `output/alicloud-platform-docs-api-review/validate.txt` is generated. ## Output And Evidence - Save artifacts, command outputs, and API response summaries under `output/alicloud-platform-docs-api-review/`. - Include key parameters (region/resource id/time range) in evidence files for reproducibility. ## Prerequisites - Configure least-privilege Alibaba Cloud credentials before execution. - Prefer environment variables: `ALICLOUD_ACCESS_KEY_ID`, `ALICLOUD_ACCESS_KEY_SECRET`,...
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
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