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slow-ai
slow-ai contiene 8 skills recopiladas de ai-agents-for-humans, con cobertura ocupacional por repositorio y páginas de detalle dentro del sitio.
Skills en este repositorio
Conduct a structured discovery interview to produce a precise, confirmed ProblemBrief.
Delegate complex, multi-file coding tasks to an autonomous coding agent that can iterate and self-correct. Uses Claude Code if ANTHROPIC_API_KEY is set, otherwise falls back to Gemini via generate_code + execute.
Produce a comprehensive, detail-preserving research report from all phase findings and agent evidence.
Execute arbitrary Python code in an isolated subprocess. Use for data transformation, statistical analysis, geospatial processing, knowledge graph modeling, ontology engineering, RDF serialization, data visualization, document parsing, and any computation task. Always print() results to capture them.
Download a dataset from a URL and inspect its actual contents — schema, column types, shape, sample rows, and null counts. Supports CSV, Parquet, Excel, JSON, and JSONL. Use this to look inside a dataset, not just its landing page.
Download a PDF from a URL and extract its full text — ideal for research papers, reports, and documentation. Returns page count and extracted text.
Navigate to and extract content from specific web URLs. Good for reading data portals, documentation, and landing pages.
Search the web for information using natural language queries. Returns summaries and sources from live web results.