wiki-agent
适合在多代理环境中按主题拉取特定历史上下文，避免批量导入噪音。
会读取并处理其他代理的会话历史或元数据，可能涉及本地敏感记录。
针对某一代理的会话历史按查询检索并选择性地导入到 wiki。
按主题从某个 AI 代理（例如 Claude、Codex 等）的历史会话里检索并只导入相关会话片段，导入后还能马上给出汇总答案。当你在一个代理里工作，却想把另一个代理过去是怎么解决某个问题的细节拉进来用时非常合适。和批量导入不同，它是按需跨代理抽取，适合即时补上下文而不是做全量归档。
▸ 展开 SKILL.md 英文原文
Query-driven targeted ingest from a specific AI agent's raw history. Use this skill when the user invokes /wiki-claude, /wiki-codex, /wiki-hermes, /wiki-openclaw, /wiki-copilot, /wiki-pi — with or without a search topic. Different from wiki-history-ingest (which bulk-ingests everything new): this skill finds sessions about a SPECIFIC TOPIC in a specific agent's history and ingests just those, then returns a synthesized answer immediately usable in the current session. Primary use case: you're working in agent A and want to pull in how you solved X in agent B's history. Cross-referencing, not archiving. Also trigger on: "what did I work on in codex about X", "search my claude sessions for Y", "pull in hermes knowledge about Z", "find that conversation where I did X in codex".
帮我安装这个 skill：https://raw.githubusercontent.com/Ar9av/obsidian-wiki/main/.skills/wiki-agent/SKILL.mdcurl -fsSL "https://raw.githubusercontent.com/Ar9av/obsidian-wiki/main/.skills/wiki-agent/SKILL.md"# Wiki Agent — Targeted Cross-Agent History Search + Ingest You are doing a **query-driven targeted ingest** from one specific AI agent's raw conversation history. The user is typically working in a *different* agent right now and wants to pull in context from another agent's past sessions. This is not bulk ingest. You find sessions about a specific topic, extract the relevant blobs, distill them into the wiki, and return a synthesized answer the user can act on immediately. ## Command Routing Parse the invocation to determine the target agent and optional query: | Command | Target | Example | |---|---|---| | `/wiki-claude [query]` | Claude Code history | `/wiki-claude "how did I set up