Which is more popular, DeerFlow or Skills?

Skills has more GitHub stars (179,388 vs 83,337).

Which is more actively developed, DeerFlow or Skills?

DeerFlow had more commits in the last 90 days (1,254 vs 14).

Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.

Side-by-side comparison of two AI agent tools

Skills is growing faster: +26,013 GitHub stars in the last 30 days vs +5,297 for DeerFlow.
Pick DeerFlow for: open-source agent harness for long-horizon research, coding, and content creation. Pick Skills for: public repository for Agent Skills.

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DeerFlowopen-source

Open-source agent harness for long-horizon research, coding, and content creation

Public repository for Agent Skills

+Comprehensive agent orchestration system that coordinates sub-agents, memory, and sandboxes for complex multi-step tasks
+Extensible skills framework allows customization and expansion of agent capabilities beyond basic functionality
+Active development with a complete 2.0 rewrite showing commitment to architectural improvements and long-term maintenance

+Official Anthropic implementation provides reliable, well-tested skill patterns and best practices for Claude AI development
+Extensive collection covering diverse domains from creative tasks to enterprise workflows, offering immediate practical value
+Self-contained modular design allows easy customization and extension of existing skills for specific organizational needs

-Version 2.0 is a complete rewrite with no backward compatibility, requiring migration effort for existing users
-Complex architecture with multiple components may require significant setup and configuration effort
-Limited documentation visible in the provided materials, potentially creating a steep learning curve

-Skills are Claude-specific and may not be directly portable to other AI agents or platforms
-Some skills are source-available only (not open source), limiting modification rights for certain components
-Repository serves primarily as demonstration material, requiring thorough testing before production deployment

•Automated research workflows that require gathering information from multiple sources and synthesizing findings
•Software development projects requiring coordination between planning, coding, testing, and deployment phases
•Content creation tasks that involve research, writing, editing, and publication across multiple platforms

•Enterprise teams standardizing AI workflows with consistent document creation, branding, and communication processes
•Developers building Claude-powered applications needing reference implementations for complex multi-step tasks
•Organizations creating custom AI skills who need proven architectural patterns from Anthropic's production implementations

Which is more popular, DeerFlow or Skills?: Skills has more GitHub stars (179,388 vs 83,337).
Which is more actively developed, DeerFlow or Skills?: DeerFlow had more commits in the last 90 days (1,254 vs 14).
Should I use DeerFlow or Skills?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.