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Found 151 Skills
Render and display Mermaid diagrams inline in iTerm2 or Ghostty. Use when creating, editing, or iterating on mermaid diagrams. Triggers on mermaid diagram work — flowcharts, sequence, state, class, ER, and XY charts.
Create professional diagrams using Mermaid, PlantUML, and other text-based diagram tools. Generate flowcharts, sequence diagrams, architecture diagrams, and more.
Use esta skill SEMPRE que a pessoa usuária pedir para criar diagramas, gráficos, fluxogramas, representações visuais de sistemas, arquitetura ou fluxos. Esta skill atuará guiando a pessoa usuária de forma interativa e didática para definir o modelo de diagrama Mermaid ideal.
Create Mermaid diagrams and convert them to images. Use when needing to visualize flows, architecture, or data structures.
Write content to Feishu Docs, create new documents, and create blank documents. Supports advanced operations such as automatic conversion of Mermaid/PlantUML diagrams to boards, Callouts, and batch block updates. Use this when users request "create document", "new document", "write a document", "write", "update document", "edit document", or "add content". It is recommended to use Mermaid for diagramming.
Convert Mermaid code blocks in .mmd or .md files to animated GIFs with customizable animation styles (progressive, highlight walk, pulse flow, wave).
Convert Mermaid code blocks in Markdown files to PNG images using the mermaid.ink API.
Expert in requirements definition and system design. Converts abstract requirements into concrete specification documents (SPEC.md) and design documents (DESIGN.md), and visualizes system structures using Mermaid diagrams.
Generate Mermaid diagrams for chatbot flows that render in Markdown, including choosing diagram types, producing valid Mermaid code blocks, and validating or rendering diagrams locally via the bundled scripts. Use when a user asks for chatbot flowcharts/sequence/state diagrams, wants Mermaid syntax, or needs to verify/render Mermaid without a web service.
Provides comprehensive guidance for creating Mermaid diagrams. Mermaid is a JavaScript-based diagramming and charting tool that uses Markdown-inspired text definitions and a renderer to create and modify complex diagrams. The main purpose of Mermaid is to help documentation catch up with development. Mermaid is particularly well-suited for use in Markdown documents, GitHub, GitLab, wikis, blogs, and other Markdown-based platforms. Use when the user wants to draw, create, generate, make, build, or visualize any diagram, chart, graph, flowchart, architecture diagram, sequence diagram, class diagram, state diagram, Gantt chart, mindmap, timeline, or any other visual diagram in Markdown-friendly format. This skill covers all 23+ Mermaid diagram types including flowcharts, sequence diagrams, class diagrams, state diagrams, ER diagrams, Gantt charts, pie charts, quadrant charts, Git graphs, C4 diagrams, mindmaps, timelines, and more. Always use this skill when the user mentions Mermaid, needs diagrams for Markdown documentation, or wants quick diagrams that render directly in Markdown renderers.
Auto-generates code flow diagrams from Python module analysis. Detects when architecture diagrams become stale (code changed, diagram didn't). Use when: creating new modules, reviewing PRs for architecture impact, or checking diagram freshness. Generates mermaid diagrams showing imports, dependencies, and module relationships.
Transforms raw meeting transcripts into high-fidelity, structured meeting minutes with iterative review for completeness. This skill should be used when (1) a meeting transcript is provided and meeting minutes, notes, or summaries are requested, (2) multiple versions of meeting minutes need to be merged without losing content, (3) existing minutes need to be reviewed against the original transcript for missing items, (4) transcript has anonymous speakers like "Speaker 1/2/3" that need identification. Features include: speaker identification via feature analysis (word count, speaking style, topic focus) with context.md team directory mapping, intelligent file naming from content, integration with transcript-fixer for pre-processing, evidence-based recording with speaker quotes, Mermaid diagrams for architecture discussions, multi-turn parallel generation to avoid content loss, and iterative human-in-the-loop refinement.