find-skills

The find-skills skill serves as the primary interface for users to explore and integrate modular packages within the DeerFlow ecosystem. Designed for developers and power users, this tool bridges the gap between user intent and specialized capability, allowing for dynamic expansion of the agent's skillset via the Skills CLI. Whether you are looking to streamline DevOps pipelines, automate React performance optimizations, or generate API documentation, this skill helps identify the right toolset from the open agent skills registry.

• Enables interactive search for installable skills using keywords or natural language queries (e.g., 'find a skill for PR reviews').

• Supports direct management of modular agent packages, facilitating discovery and installation through npx skills commands.

• Provides seamless integration for diverse domains including web development, code quality, testing frameworks (Jest, Playwright), and documentation automation.

• Automatically assists users in identifying domain-specific tasks and mapping them to existing tools or templates.

• Guides users through the installation process using standardized bash-based scripts (install-skill.sh), ensuring compatibility with DeerFlow's sandbox environments.

• When no existing skill matches the request, the agent provides guidance on alternative ways to accomplish the task or suggests using npx skills init to create a custom skill.

• Effective usage relies on specific keywords like 'deployment', 'CI/CD', 'accessibility', or 'refactoring' to narrow search results.

• Prioritizes searching from known repositories such as vercel-labs/agent-skills or ComposioHQ/awesome-claude-skills.

• Outputs consist of skill discovery information, installation commands, and links to documentation at skills.sh.

• Inputs should define the specific domain or task, such as 'React app speed' or 'generate changelog'.

• Users are expected to have a configured DeerFlow environment; the skill assists in mapping these user needs to modular workflows, improving overall agent extensibility and long-term capability retention.