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Found 961 Skills
Conduct in-depth web-based research on given topics, collect and organize materials for subsequent content creation. Automatically detect available web search tools (WebSearch or MCP search tools), fall back to DDGS when no tools are available. Output structured Markdown data summary with source citations.
Use local FunASR service to transcribe audio or video files into timestamped Markdown files, supporting common formats such as mp4, mov, mp3, wav, m4a, etc. This skill should be used when users need speech-to-text conversion, meeting minutes, video subtitles, or podcast transcription.
Creates and manages project artifacts (research, spikes, analysis, plans) using templated scripts. Use when asked to "create an ADR", "research topic", "spike investigation", "implementation plan", or "create analysis". Provides standardized structure, naming conventions, and helper scripts for artifact organization. Works with .claude/artifacts/ directory, Python scripts, and markdown templates.
Converts agent definitions between Markdown (with YAML frontmatter) and TOML formats. Use when transforming agent configurations for different agent systems — MD format for rich tool restrictions, TOML format for Codex-style agents with sandbox modes.
Generate the final MARP deck markdown from definition, deck plan, and visual design artifacts, applying deck-template layout rules deterministically. Use only when all three source artifacts exist.
Trove collection and normalization for swain-design artifacts. Collects sources from the web, local files, and media (video/audio), normalizes them to markdown, and caches them in reusable troves. Use when researching a topic for a spike, ADR, vision, or any artifact that needs structured research. Also use to refresh stale troves or extend existing ones with new sources. Triggers on: 'research X', 'gather sources for', 'build a trove', 'search for sources about', 'refresh the trove', 'what do we know about X', or when swain-design needs research inputs for a spike or ADR.
Write Milvus application-level Jupyter notebook examples using a Markdown-first workflow with jupyter-switch for format conversion.
Use when a Google Sheets URL (docs.google.com/spreadsheets/d/) or raw spreadsheet ID is present, or when the user says "read the sheet", "fetch spreadsheet", "convert sheet", "doc sheet", "import from Google Sheet", "get data from sheet", "đọc sheet", "doc sheet", "lay du lieu tu sheet", "lay data tu google sheet", or wants to export, document, or convert Google Sheet data into markdown, a table, a report, or documentation. Do NOT trigger for: Excel (.xlsx), CSV, Google Docs (docs.google.com/document), databases, or how-to questions about Google Sheets.
Create, edit, and convert Markdown documents (.md) using Syncfusion Markdown. Supports two modes — generate C# code for the user's project or execute a task via CSX script. Use when the user mentions markdown, .md files, markdown generation, Syncfusion Markdown.
Create a design brief through an interactive interview, codebase exploration, and experience design decisions. Saved as a markdown file in the project. Use when user wants to write a design brief, plan a new feature or page, define a UI direction, or mentions "brief".
Creates professional PDF whitepapers from Markdown files. Use when the user wants to create a whitepaper, technical document, or PDF with professional formatting and typography.
Implements the Syncfusion ASP.NET Core Rich Text Editor (ejs-richtexteditor tag helper) supporting HTML (WYSIWYG) and Markdown editing modes. Set editorMode='Markdown' for Markdown; default is HTML. Use this skill for toolbar configuration, image upload, table editing, inline or iframe mode, AI assistant integration, mentions, and form validation with rich text in ASP.NET Core projects.