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wiki-agent

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 wo

2,631stars265forksUpdated 7/4/2026
Developer Tools#search#knowledge-management#note-taking#obsidian#ai-agents

Security Assessment

Low Risk(80/100)

Detected risks:

Sensitive File Access([SKILL.md] .env)
Security Score80/100

About wiki-agent

A query-driven, targeted ingest tool that pulls context from one specific AI agent raw conversation history into your current session. It is built for cross-referencing: while working in one agent you can retrieve how you solved a problem in another. Unlike bulk history ingest, it finds only the sessions about a specific topic, extracts the relevant portions, distills them into an Obsidian wiki, and returns a synthesized answer you can act on immediately.

It is invoked through commands that select the target agent and an optional query: /wiki-claude, /wiki-codex, /wiki-hermes, /wiki-openclaw, /wiki-copilot, and /wiki-pi. With no query it falls back to recent-sessions mode, ingesting the last five unprocessed sessions from that agent. Before starting it resolves configuration (an inline name override, walking up the working directory for a .env file, then a home config) to find the Obsidian vault path, reads the vault manifest to know what is already ingested, and warms context from hot.md.

The workflow locates each agent history root using documented default paths and config overrides, builds a session inventory from the cheapest available index rather than opening every file, and scores sessions against the query using name/title match, working-directory or project match, and recency before selecting the top three to five. It then extracts only the relevant blob per session using agent-specific strategies, for example grepping Claude JSONL and pulling a surrounding window, filtering Codex rollout event and response items, reading short Hermes memory files fully, or scanning OpenClaw MEMORY.md sections. The outcome is a focused knowledge transfer between agents rather than a full archive.

FAQ

How is this different from bulk history ingest?

Bulk ingest archives everything new, whereas this finds only the sessions about a specific topic in one agent history, ingests those, and returns a synthesized answer immediately.

Which agents' histories can it search?

Claude, Codex, Hermes, OpenClaw, Copilot, and Pi, each selected by a command such as /wiki-claude or /wiki-codex.

What happens if I do not provide a search query?

It defaults to recent-sessions mode and ingests the last five unprocessed sessions from that agent, returning a summary of what was found.

How does it decide which sessions are relevant?

It scores sessions on name/title match, working-directory or project match, and recency without opening full files, then selects the top three to five.

Where does the ingested knowledge get stored?

It is distilled into an Obsidian vault whose path is resolved via config, and its manifest and hot.md are read first to avoid re-ingesting.

Install wiki-agent

Download and extract the skill files to your .claude/skills/ directory.

Quick Setup:

  1. Copy the skill folder to .claude/skills/
  2. Claude will automatically detect and use the skill

Repository

ar9av/obsidian-wiki

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