shibing624

How to answer questions about the agentica product you are running inside — CLI flags, config.yaml profiles, API keys, models, sessions, resume, workspace, AGENTS.md standing rules, skills, logs, upgrade, and self_manage. Use when asked how agentica works,…

Run work across more than one agent — choose between the task subagent, the delegate tool, and a second agentica CLI in tmux driven by peer messages (list_agents / send_message). Use when a job wants parallel workers, its own terminal, coordination between…

Analyze any Python library structure, explore modules, classes, and functions with signatures and documentation.

Use this skill for requests related to web research; it provides a structured approach to conducting comprehensive web research

Learn from experience: self-reflection + self-criticism + self-learning + self-organizing memory + cross-session sync. Agent evaluates its own work, catches mistakes, and improves permanently. Compiles confirmed learnings to global config for automatic…

Karpathy's LLM Wiki — build and maintain a persistent, interlinked markdown knowledge base. Ingest sources, query compiled knowledge, and lint for consistency.

查询木兰论文解读（paper.mulanai.com）的 AI 论文中文解读、每日精选、周报与主题分类。当用户询问最新 AI 论文、每日论文精选、某主题论文、论文中文摘要或推荐理由时使用。全部接口匿名只读、无需 API Key。

通过 dual-mem 为 agent 管理长期记忆：写入、检索、更新、删除与 scope 管理。 触发场景：用户透露稳定个人信息/偏好、陈述值得长期记住的事实或计划，或对话需要 回忆该用户过去说过什么时。使用 MCP 工具或 CLI（dual-mem）调用 MemoryClient 方法。