bytedance/deer-flow▌

AI-generated presentation slides composed into professional PowerPoint files with unified visual styling. \n \n Supports eight distinct presentation styles (glassmorphism, dark-premium, gradient-modern, neo-brutalist, 3D isometric, editorial, minimal-Swiss, keynote) with detailed color, typography, and layout guidelines for each \n Generates slide images sequentially with reference chaining—each slide uses the previous one as a visual reference to maintain consistent aesthetics across the entire

This skill guides creation of distinctive, production-grade frontend interfaces that avoid generic "AI slop" aesthetics. Implement real working code with exceptional attention to aesthetic details and creative choices.

Generate high-quality videos from structured prompts with optional reference image guidance. \n \n Creates JSON-formatted prompts specifying subject, style, camera work, dialogue, and audio elements \n Supports reference images to guide or anchor the first/last frame of generated videos \n Executes generation via Python script with configurable aspect ratio (default 16:9) \n Integrates with image-generation skill to create reference frames when needed \n

$21

Consulting-grade research reports across market analysis, financial analysis, competitive intelligence, and strategic planning. \n \n Operates in two phases: Phase 1 generates a structured analysis framework with chapter skeleton, data requirements, and visualization plans; Phase 2 synthesizes collected data into a polished final report \n Selects from 20+ professional frameworks (SWOT, Porter's Five Forces, TAM-SAM-SOM, Consumer Decision Journey, DuPont Analysis, Blue Ocean Strategy, etc.) matc

Discover and install specialized agent skills from the open ecosystem when users need extended capabilities. \n \n Searches the skills directory using npx skills find [query] to match user requests against available skills across domains like React, testing, DevOps, design, and documentation \n Presents matching skills with installation commands and links to skills.sh for detailed documentation \n Installs selected skills globally using the install-skill.sh script, automatically linking them to

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This skill provides a comprehensive workflow for transforming data into visual charts. It handles chart selection, parameter extraction, and image generation.

This skill provides a systematic methodology for conducting thorough web research. Load this skill BEFORE starting any content generation task to ensure you gather sufficient information from multiple angles, depths, and sources.

This skill generates high-quality images using structured prompts and a Python script. The workflow includes creating JSON-formatted prompts and executing image generation with optional reference images.

Comprehensive GitHub repository analysis through multi-round research combining API data, web search, and structured reporting. \n \n Executes four research rounds: GitHub API extraction, discovery searches, deep investigation with web fetching, and timeline analysis from commits and issues \n Produces structured markdown reports with executive summaries, chronological timelines, metrics tables, and Mermaid diagrams for architecture and comparisons \n Implements source prioritization (official d

SQL-powered analysis of Excel and CSV files with schema inspection, aggregation, and multi-format export. \n \n Execute arbitrary SQL queries against uploaded data, including joins across multiple files, window functions, and pivot-style aggregations \n Inspect file structure (sheets, columns, data types, row counts) and generate statistical summaries (mean, median, stddev, percentiles, null counts) for numeric and string columns \n Export query results to CSV, JSON, or Markdown; results are cac

Communicate with a running DeerFlow instance via its HTTP API. DeerFlow is an AI agent platform built on LangGraph that orchestrates sub-agents for research, code execution, web browsing, and more.

A skill for creating new skills and iteratively improving them.

This skill generates high-quality podcast audio from text content. The workflow includes creating a structured JSON script (conversational dialogue) and executing audio generation through text-to-speech synthesis.

Deliver an unexpected, delightful experience by dynamically discovering available skills and combining them creatively.