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定期检查 ZLAgent 的 skill、MCP 工具、记忆摘要的变化， 生成一份变更摘要并通过 IM 发送给用户。
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Based on SOC occupation classification
Fetch and summarise recent papers from arxiv.org. Use this skill when the user wants a digest of today's or this week's cs.AI / cs.LG / cs.CL listings, a focused per-topic roundup, or a quick look at a specific submission.
Lightweight code-review checklist the agent runs before declaring a patch ready. Catches the obvious classes of issue (dead code, missing error handling, weakened tests) without a full security audit. Adapted from addyosmani's "Review" lifecycle phase.
Root-cause-first debugging loop for code or runtime errors: understand the failure before proposing a fix. Adapted from Hermes' systematic- debugging — same iron law, smaller surface, ZLAgent-tool-aware.
Do not declare a task done without running verification. For code, that means running tests / smoke; for answers, that means checking the claim against a fresh source. Adapted from obra/superpowers and addyosmani's "Verify" lifecycle phase.
Umbrella skill for user document workflows — PDF, Word, Excel, PowerPoint, text extraction, summarization. Dispatches to the right MCP / tool; proposes an install via mcp-discovery when no local capability fits. Adapted from Anthropic's docx/pdf/xlsx/pptx skills.
When the user wants something the agent doesn't have a tool for yet (travel planning, GitHub issues, Linear, weather, filesystem, ...), search the live MCP ecosystem for an existing server, propose installing it, and on confirm wire it up via mcp_manage. Adapted from Hermes' mcporter skill — same flow, ZLAgent-tool-aware.
| name | auto-updater |
| description | 定期检查 ZLAgent 的 skill、MCP 工具、记忆摘要的变化， 生成一份变更摘要并通过 IM 发送给用户。 |
| version | 0.1.0 |
| tags | ["meta","automation","cron"] |
| metadata | {"zlagent":{"category":"meta","triggers":["每天发摘要","自动更新报告","有什么新变化","发一下变更日志","每周更新","auto update"],"capabilities":["memory_manage","skill_manage","send_message"],"related_skills":["skill-authoring","news-digest"]}} |
让 agent 主动感知自身的变化（skill 增删、记忆更新、工具变更）， 并定期给用户发一份"这段时间发生了什么变化"的摘要。
核心价值：用户不用手动问，agent 自己报告自己的成长轨迹。
不属于本 skill 的范围：
两种触发方式：
主动触发（推荐用 cron_manage 设置定时）：
0 9 * * *被动触发（用户询问）：
收集 skill 变更：
skill_manage(action='list') 获取当前 skill 列表auto_updater_last_skills）收集记忆变化：
memory_manage(action='list') 获取当前记忆条目auto_updater_last_memory_count）收集工具变化（可选）：
生成摘要，格式见 Output。
更新 memory 快照：
memory_manage(action='remember', content='auto_updater_last_skills: [...]')memory_manage(action='remember', content='auto_updater_last_memory_count: N')发送摘要：
send_message 发给用户摘要格式（IM 友好，控制在 300 字以内）：
📊 ZLAgent 周报 · <日期>
🧠 技能变化
+ 新增：humanizer, skill-vetter（共 +2）
- 删除：（无）
💾 记忆变化
本周新增记忆 5 条，当前共 23 条
🔧 工具变化
（无变化）
下次报告：明天 09:00
如果什么都没变化，发：
📊 ZLAgent 日报 · <日期>
本日无变化。一切正常运行。
偏差信号：
注意：
memory_manage 的工作，不是本 skill