From ds-doc-analyzer
Analyze AI/ML system documentation from a Data Science perspective to identify scenarios, problems, and use cases
npx claudepluginhub shinhf/skills-ide-resources --plugin ds-doc-analyzerpath-to-docs-directory-or-fileAnalyze the documentation at the specified path from a Data Science and Machine Learning practitioner's perspective. Use the **ds-analysis-framework** skill to guide the analysis methodology. ## Analysis Workflow ### 1. Documentation Discovery Scan `$ARGUMENTS` to find all documentation files: - Look for `.md`, `.txt`, `.rst`, `.yaml`, `.json` files - Include README files, API references, skill files (SKILL.md), and configuration docs - Build a complete inventory of available documentation ### 2. Systematic Reading Read each documentation file and extract: - System capabilities and fea...
Analyze the documentation at the specified path from a Data Science and Machine Learning practitioner's perspective. Use the ds-analysis-framework skill to guide the analysis methodology.
Scan $ARGUMENTS to find all documentation files:
.md, .txt, .rst, .yaml, .json filesRead each documentation file and extract:
For each identified capability, apply the analysis framework:
For each scenario, identify concrete problems:
Identify what the documentation does NOT cover:
Produce a Comprehensive Analysis Report using the template from the ds-analysis-framework skill's references/analysis-templates.md. The report must include:
Ground every finding in specific documentation evidence with file paths and section references.
Present the complete analysis report directly in the conversation. If the report is very large, offer to save it as a markdown file.