这是AAS Core,一个面向编程智能体的本地技能栈管理系统,当前版本V15.9.0。它让Codex或Claude能检查你的项目并从完整的本地AAS目录中选择精确的技能,但AAS Core本身不推荐或排序,只提供只读的compose stack工具来验证智能体的选择,然后通过客户端或aas CLI保存为aas stack.json并生成不可变计划。应用和恢复功能仍是实验性的。适合需要可复现、可审查的技能管理流程的开发者。
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AAS Core — Agentic Awesome Skills Local, agent owned skill stacks for coding agents—from complete catalog access to a reproducible, reviewable plan. Current release: V15.9.0. This release includes AAS Core for complete local catalog search, agent owned selection, manifest validation, planning, and diagnosis. Apply and recovery remain experimental and outside the supported preview path. Codex or Claude inspects your project and chooses exact skills from the complete local AAS catalog. AAS Core does not rank or recommend them: its read only compose stack tool validates the agent owned selection in memory, and a client or the aas CLI can persist it as aas stack.json and produce an immutable plan before any target change. Read the AAS Core preview guide → [安装/使用命令见下方] The reusable SKILL.md playbooks, specialized plugins, bundles, workflows, and direct installers remain important. They are the content, curation, distribution, and compatibility layers around AAS Core—not competing primary products. This is an independent community project. It is not affiliated with, sponsored by, endorsed by, or authorized by Google. Google, Antigravity, Gemini, and related product names are referenced only to describe compatibility and install targets. The GitHub repository is canonical; the hosted catalog and browser local Workbench are companion discovery and review surfaces, not a hosted control plane. AAS Core: Agent First Preview The agent composes. You control. AAS keeps the stack reproducible. AAS Core gives the repository one product model: Let the agent choose. The local MCP preserves search skills , get skill , compose stack , inspect stack , and diff stack , and adds read only export selection evidence and inspect selection evidence ; Core does not rank, recommend, exclude, or hide skills. Guide capability coverage. MCP session instructions require the agent to evaluate the full project surface—from architecture, domain behavior, data and integrations through testing, security