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README.md

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| <code>openkb&nbsp;skill&nbsp;new&nbsp;&lt;skill-name&gt;&nbsp;"&lt;intent&gt;"</code> | Distill a redistributable agent skill from your wiki (see [Skill Factory](#skill-factory) below) | [skills](examples/skills/) |
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| <code>openkb&nbsp;deck&nbsp;new&nbsp;&lt;name&gt;&nbsp;"&lt;intent&gt;"</code> | Generate a single-file HTML slide deck (`--skill` picks a theme, `--critique` runs a quality pass) | [slides](examples/slides/) |
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### 💬 Query & Chat — *ask the wiki*
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### (i) 💬 Query & Chat — *ask the wiki*
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`openkb query "..."` answers a single question with a grounded, cited answer from your wiki. `openkb chat` is interactive, an ongoing multi-turn session over the same wiki (`--resume`, `--list`, `--delete` to manage sessions). → Walked through with real saved output in **[`examples/commands/`](examples/commands/)** (query) and **[`examples/chat/`](examples/chat/)** (chat).
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<a id="skill-factory"></a>
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### 🛠 Skill Factory — *drop in a book; out comes a digital expert.*
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### (ii) 🛠 Skill Factory — *drop in a book; out comes a digital expert.*
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`openkb skill new` distills a portable [agent skill](https://docs.claude.com/en/docs/build-with-claude/skills) from your wiki that Claude Code, Codex, and Gemini can install and load natively. Drop in a book's worth of papers; out comes a specialist other agents can call on. → A real generated skill, plus install / share / `eval` / rollback, is walked through in **[`examples/skills/`](examples/skills/)**.
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### Settings
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`openkb init` writes `.openkb/config.yaml`:
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OpenKB settings are initialized by `openkb init` and stored in `.openkb/config.yaml`:
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```yaml
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model: gpt-5.4 # LLM model (any LiteLLM-supported provider)

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