brain-ingest

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The process for digesting a conversation, document, or research result, classifying it, and writing it down as brain content (a root-page update or a new/updated page) through the `brain` CLI.

AI & Automation 541 stars 49 forks Updated 2 days ago Apache-2.0

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Quality Score: 90/100

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91
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100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# brain-ingest This skill is about "turning scattered input into structured brain knowledge". The input can be a conclusion from a conversation, an external document, a piece of research, or the decisions behind a set of code changes. The goal is to land that knowledge in the **right place, the right category, and the right structure** — and to write it through the `brain` CLI so it is correct by construction. Reach for this process not only when explicitly asked to "ingest" something. The brain is the project's persistent memory (see `BRAIN.md`), so **trigger it proactively whenever knowledge crystallizes** — a decision settled in discussion, a requirement or constraint agreed, an insight that will still matter in six months. Capture it as it surfaces rather than waiting to be told. Every read and write below is a `brain` CLI subcommand (`list-pages` / `read-page` / `read-root` to read; `create-page` / `update-truth` / … to write). The command details and the category taxonomy live in the **brain-page** skill — read it before creating or modifying any page. > **NEVER hand-edit any file under the brain directory. All reads and writes MUST go through the `brain` CLI. Manual edits are unsupported and illegitimate.** There is no validator and nothing at the file layer can catch a bad manual edit; correctness is guaranteed only by going through the CLI, so a hand edit silently breaks the brain's invariants. ## Process ### 1. Break down the input Split the input into indivi...

Details

Author
mindmuxai
Repository
mindmuxai/brain.md
Created
2 months ago
Last Updated
2 days ago
Language
JavaScript
License
Apache-2.0

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