🔶 TL;DR
Skills = reusable “capability packs” your agent loads on demand → less prompt bloat, more reuse, and less vendor lock-in.
🔶 AGENT SKILLS
Ever wished your AI agent could “install” new abilities without bloating prompts? Spring AI introduces Agent Skills: modular folders (instructions + scripts + references) that an agent can discover at startup and load only when needed.
Skills are packaged as Markdown with YAML frontmatter (ex: SKILL.md), enabling progressive disclosure:
1️⃣ Discovery: load only name + description
2️⃣ Activation: load full instructions when relevant
3️⃣ Execution: read files / run helper scripts on demand
Spring AI’s approach is model-agnostic (OpenAI, Anthropic, Gemini, …) and tool-based via SkillsTool (+ optional FileSystemTools and ShellTools).
⚠️ Note: script execution isn’t sandboxed—treat third-party skills like code you’d review before running.
🔶 TAKEAWAYS
▪️ Organize agent know-how as versionable folders, not giant prompts
▪️ Keep context lean with progressive disclosure
▪️ Combine instructions + references + scripts for real workflows
▪️ Secure production use = review scripts + consider container isolation
#SpringAI #SpringBoot #Java #AIAgents #AgenticAI #LLM #OpenSource #DeveloperTools
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