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chore: make ci happy
Signed-off-by: Chojan Shang <psiace@apache.org>
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.env.example

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# BUB_MARIMO_HOST=127.0.0.1
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# BUB_MARIMO_PORT=2718
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# BUB_MARIMO_WORKSPACE=/path/to/workspace
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# BUB_MARIMO_MARIMO_PORT=2719
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# BUB_MARIMO_MARIMO_PORT=2719

AGENTS.md

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Same rule: **plain text** replies go to the gateway UI.
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**Data insights and charts:** write marimo `.py` notebooks under `{workspace}/insights/`. Use `@app.cell`, PEP 723, and **marimo-notebook** conventions. **Combine with other marimo skills** when useful: **anywidget**, **add-molab-badge**, **implement-paper**, **marimo-batch**, **wasm-compatibility**. The index auto-reloads when you respond.
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**Data insights and charts:** write marimo `.py` notebooks under `{workspace}/insights/`. Use `@app.cell`, PEP 723, and **marimo-notebook** conventions. **Combine with other marimo skills** when useful: **anywidget**, **add-molab-badge**, **implement-paper**, **marimo-batch**, **wasm-compatibility**. The index auto-reloads when you respond.

README.md

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bubseek packages [Bub](https://github.com/bubbuild/bub) with ready-to-use components for rapid data consumption. It's an attempt to explore a different approach to enterprise data needs: instead of scheduling BI tickets, tell the agent what you want and get insights back.
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**Multi-channel entry** — Feishu, DingTalk, WeChat, Discord, Telegram, and a built-in marimo web interface at http://127.0.0.1:2718. Configure env vars and enable via gateway.
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**Multi-channel entry** — Feishu, DingTalk, WeChat, Discord, Telegram, and a built-in marimo web interface. Configure env vars and enable via gateway.
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**Lightweight data consumption** — marimo notebooks for dashboards, github-repo-cards for generating shareable repo cards, schedule tasks with cron support. Add insights to `insights/` and the agent can work with them dynamically.
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## License
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[Apache-2.0](LICENSE)
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[Apache-2.0](LICENSE)

docs/architecture.md

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1. **External observability** — Agent serves team requests, produces insights
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2. **Internal observability** — Agent's own footprint (tapes) becomes data for analysis
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The same agent that serves the team can also analyze its own history to understand: what questions are most frequent? What tasks fail often? What does the team care about?
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The same agent that serves the team can also analyze its own history to understand: what questions are most frequent? What tasks fail often? What does the team care about?

docs/configuration.md

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Run `uv run bub gateway --enable-channel marimo`, then visit http://127.0.0.1:2718
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Notebooks are generated to `insights/` at runtime. The dashboard shows agent's own footprint — tapes, sessions, task history — enabling the agent to analyze itself.
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Notebooks are generated to `insights/` at runtime. The dashboard shows agent's own footprint — tapes, sessions, task history — enabling the agent to analyze itself.

docs/getting-started.md

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## Next steps
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- [Configuration](configuration.md) — Channel credentials, skills, runtime options
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- [Architecture](architecture.md) — Design overview
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- [Architecture](architecture.md) — Design overview

docs/index.md

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- [Repository](https://github.com/ob-labs/bubseek)
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- [PyPI](https://pypi.org/project/bubseek/)
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- [Bub](https://github.com/bubbuild/bub)
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- [OceanBase/seekdb](https://github.com/oceanbase/seekdb)
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- [OceanBase/seekdb](https://github.com/oceanbase/seekdb)

uv.lock

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