authoring-pipelines

Use when the user wants a bagel data pipeline — reducing a log to windows around events ("keep 30s around every hard brake"), recurring snippets/GIFs/exports, or any tasks-and-gates automation over robot data.

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Repository: Extelligence-ai/bagel
Last source activity: August 13, 2026 at 19:23
Detected SKILL.md language: English
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name	authoring-pipelines
description	Use when the user wants a bagel data pipeline — reducing a log to windows around events ("keep 30s around every hard brake"), recurring snippets/GIFs/exports, or any tasks-and-gates automation over robot data.

Authoring bagel pipelines

The bagel MCP server owns the authoring workflow, including the reduce-vs-snippet decision, window/debounce extraction, and the preview-before-run rule. Do not write pipeline YAML from memory:

Call run_poml_capability with poml_path="./src/agent/compose/pipeline.poml".
Follow it exactly. In particular: always call preview_pipeline and show the user the summary (events found, data kept) BEFORE running anything.
Use list_pipeline_capabilities for the exact task/gate module paths and arguments — never guess them.
Execute the approved config through the MCP tools (run_pipeline, or run_pipeline_batch for many sources). The capability also mentions a host CLI (run.py); that path is for users at a terminal in the repo, not for plugin sessions — do not shell out to it.

If the connection fails, the server container is not running — see references/formats.md.

authoring-pipelines

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More from this repository

Authoring bagel pipelines

Authoring bagel pipelines