// Document summarization and interpretation — long document distillation, multi-level summaries (one-line/paragraph/detailed), key information extraction.
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Parse a PRD, requirements document, or feature description into a structured task list with dependencies and priorities. Trigger when the user wants to plan a project, break down requirements, create a task list from a document, or says things like "plan this project", "break this down into tasks", "create tasks from this PRD".
Generate personalized project instructions through an adaptive onboarding conversation. Trigger when the user wants to set up, initialize, or personalize their AI assistant — e.g., "bootstrap my agent", "set up my assistant", "personalize this AI", "let's do onboarding", "create my instructions", or when project instructions are missing. Also trigger for updates like "update my instructions", "change my AI's personality".
Conduct multi-round deep research on any GitHub repository. Use when users request comprehensive analysis, timeline reconstruction, competitive analysis, or in-depth investigation of a GitHub project. Produces structured markdown reports with executive summaries, chronological timelines, metrics analysis, and Mermaid diagrams. Triggers on GitHub repository URLs or open source project names.
Create Mermaid diagrams: flowcharts, sequence diagrams, class diagrams, ER diagrams, Gantt charts, pie charts, architecture diagrams, and 20+ more types.
Data analysis and interpretation — tabular data, trend identification, statistical summaries, comparisons, chart recommendations, anomaly detection.
| name | document-summary |
| description | Document summarization and interpretation — long document distillation, multi-level summaries (one-line/paragraph/detailed), key information extraction. |
When the user provides a document (PDF, article, report, contract, etc.) and asks for a summary or interpretation, follow this workflow:
For local files, use read to access them directly. For large or complex files (e.g., parsing Excel, extracting PDF tables), use write + bash to write a Python script for processing.
Provide different depths based on what the user needs:
Focus on different elements depending on document type:
Beyond summarization, the user may want:
