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@zhanglinpeng-semir zhanglinpeng-semir commented Jan 20, 2026

Introduce a comprehensive skill extension that enables dynamic skill loading, activation, and progressive skill integration with LLM conversations.

Key Features:

  • Progressive loading: LLM can discover and load skills on-demand
  • Multi-tenant support: Isolated skill activation per conversation
  • Flexible registration: Support class-based and instance-based skills, easily extensible for more types
  • Customizable skill capabilities: Support flexible extension and customization of diverse skill functionalities

Components:

  • Core:
    • SkillKit: Central coordination of skill lifecycle management
    • SkillBox: Skill metadata storage and activation state tracking
    • SkillPoolManager: Lazy/eager skill instance loading and caching
    • SkillRegistrar: Interface class providing diversified skill registration capabilities
  • SPI:
    • SkillAwareAdvisor: Responsible for loading skills into LLM prompts and managing conversation-level skill activation/deactivation
    • SkillAwareToolCallingManager: Manages automatic injection and execution of skill-associated tools; delegates execution and parsing of non-skill tools to other components
    • SkillAwareToolCallbackResolver: Works with SkillAwareToolCallingManager to enable dynamic tool execution by resolving tool callbacks from SkillBox's active skills
  • Annotations:
    • Skill, SkillInit, SkillExtension, SkillContent, SkillTools, SkillReferences
  • Tools:
    • Progressive skill loader tools for LLM interaction

== Semir Group Contribution ==
Developed by Semir Lab Team
Part of Semir's open source technology initiative
Original implementation: https://github.com/semir-lab/spring-ai-skill-extension

Fixes: #5293

Thank you for taking time to contribute this pull request!
Signed-off-by: LinPeng Zhang zhanglinpeng@semir.com

@zhanglinpeng-semir zhanglinpeng-semir force-pushed the GH-5293 branch 2 times, most recently from 0e39029 to f743240 Compare January 20, 2026 11:11
Fixes spring-projects#5293

Introduce a comprehensive skill extension that enables dynamic
skill loading, activation, and progressive skill integration with LLM
conversations.

Key Features:
- SkillKit: Central coordination of skill lifecycle management
- SkillBox: Skill metadata storage and activation state tracking
- SkillPoolManager: Lazy/eager skill instance loading and caching
- Progressive loading: LLM can discover and load skills on-demand
- Multi-tenant support: Isolated skill activation per conversation
- Flexible registration: Support class-based and instance-based skills

Components:
- Core: SkillKit, SkillBox, SkillPoolManager, SkillRegistrar
- SPI: SkillAwareAdvisor, SkillAwareToolCallingManager
- Annotations: @Skill, @SkillInit, @SkillContent, @skilltools
- Tools: Progressive skill loader tools for LLM interaction

== Semir Group Contribution ==
Developed by Semir Lab Team
Part of Semir's open source technology initiative
Original implementation: https://github.com/semir-lab/spring-ai-skill-extension

Signed-off-by: LinPeng Zhang <zhanglinpeng@semir.com>
@zhanglinpeng-semir
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Here is a runnable example : spring-projects/spring-ai-examples#92

@zhanglinpeng-semir zhanglinpeng-semir changed the title Add Skill extension support for Spring AI GH-5293 Add Skill extension support for Spring AI Jan 21, 2026
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[Feature Request] Add Skill Extension Framework Support to Spring AI

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