
Wiki Agent
Search one AI agent's raw history for a specific topic, ingest only matching sessions...
Install
npx skills add Ar9av/obsidian-wiki --skill wiki-agent -g -a claude-code -y- Repository
- Ar9av/obsidian-wiki3.6k
- Category
- AI and agents
- Updated
- 3d ago
- License
- MIT
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- No, instructions only
What it does
Search one AI agent's raw history for a specific topic, ingest only matching sessions, and return a synthesized answer. Use for targeted cross-agent recall; use wiki-history-ingest for bulk archival ingestion.
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 auth middleware" |
/wiki-codex [query] | Codex CLI history | /wiki-codex "rust ownership patterns" |
/wiki-hermes [query] | Hermes agent history | /wiki-hermes "memory architecture" |
/wiki-openclaw [query] | OpenClaw history | /wiki-openclaw "project planning approach" |
/wiki-copilot [query] | Copilot chat history | /wiki-copilot "test strategy for API routes" |
/wiki-pi [query] | Pi agent history | /wiki-pi "how did I refactor the auth module" |
If no query is given, default to recent sessions mode: ingest the last 5 unprocessed sessions from that agent and return a summary of what was found. This is equivalent to a focused wiki-history-ingest for that agent only.
Before You Start
Writing profile: Before drafting or rewriting natural-language Markdown, read and apply the Writing Profile Resolution section in llm-wiki/SKILL.md. Framework schema, provenance, safety, and operation-specific requirements take precedence.
WRITING.md preferences apply only to newly drafted or rewritten natural-language Markdown; preserve source content and structured records.

