e6c3d0d87608f3053c89151e8d0cf3fa3f8788f1
ci / vet-and-test (pull_request) Successful in 46s
Why: The user asked to bring proven external skills for document beautification and content enrichment into the system. Surveying GitHub, skills.sh and ClawHub found the popular document-editing skills are proprietary (Anthropic document skills forbid extraction and derivatives), so the compliant picks are the permissively-licensed leaders: frontend- design (Apache-2.0, 985.7K installs), canvas-design (Apache-2.0, official example skill with bundled OFL fonts), copywriting and copy-editing (MIT, 54.7K stars). Evidence: Seed-time open-spec validation passes for all four vendored SKILL.md frontmatters (dogfooded by the existing seed tests); anthropic skill bodies verified byte-identical to the pinned upstream snapshot (dbd4588f); marketing skills trimmed only of unvendored sibling pointers and eval artifacts, recorded in per-skill UPSTREAM.md with pinned SHAs; new provenance test guards license files. Impact: Built-in skills grow from four to eight and the binary embeds about 6 MB of font assets; prompt library base.deliverables v9 exposes the entry points. House-style stays authoritative for Office themes; the new skills add visual direction, poster/infographic rendering and copywriting craft. Seeds upgrade existing deployments on next start. Refs: Dev task feature/vendor-popular-skills
Agent-System-Backend
对话系统后端:Go 模块化单体,默认构建为单二进制(go:embed 内嵌前端与嵌入式 SQLite 存储)。组合 Agent-Native / Agent-Squad / Agent-Intent 生态,依赖 agent-system-core 契约。
契约与架构见 Agent-System-Documents 设计方案与架构文档;开发规范见 development-guidelines(Dev 仓 development/guidelines)。本仓为 Agent-System 多仓组合的组成部分。
Description
对话系统后端:会话与流式管道、智能体运行时与画像、工具/上下文/文档解析/检索/设置管理、插件宿主(组合 Agent-Native/Squad/Intent);依赖 Agent-System-Core 契约,默认单二进制非容器部署。
26 MiB
Languages
Go
98.5%
Python
1.4%