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Save To Brain

OrganizationPopular
gooseworks-ai
save-to-brain

Shared step of the marketing playbooks (research-market, plan-campaign, make-content, analyze-performance): saves a finished file to the brand and makes it searchable. It either replaces older versions or keeps dated history, then checks that the file can be found. Loaded by those playbooks; not for direct use.

Overview

Publishergooseworks-ai
Repositorygoose-skills
Skill namesave-to-brain
Stars
1.3K
Forks
219
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by gooseworks-ai on GitHub. Read the source before you install it.

Installation

Install the Save To Brain AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/gooseworks-ai/goose-skills/tree/main/skills/marketing/save-to-brain
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git /tmp/goose-skills
mkdir -p .claude/skills
cp -r /tmp/goose-skills/skills/marketing/save-to-brain .claude/skills/save-to-brain
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Save To Brain in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Save To Brain on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Save To Brain is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

save-to-brain

Every durable artifact goes through this atom. Never keep the only copy in chat or on the local disk, and never tell the marketer about workspaces, documents or imports — say "saved to your brand" or what failed in plain words.

Local mode (no GooseWorks, the marketing-guide skill §5) is the one exception. It calls no gooseworks: tool, and brand_id and coworker_agent_id are not needed:

  • Host with files: with the host's own file tools, read gooseworks-local/<brand-slug>/<path> if it exists, merge by step 1's rules (never-overwrite included), write it, and read it back. Skip steps 2–6. Say "saved in this folder", never "saved to your brand".
  • Hosted chat without files: nothing can be saved. Give the whole file in chat under its path and say "This isn't saved anywhere: paste it back next time and I'll pick up from it." Skip steps 1–6.

Inputs (the calling playbook supplies them)

InputRule
brand_id, brand_slug, coworker_agent_idFrom the gooseworks:brand_read list answer.
pathThe playbook's own path in the marketing-guide's §4 table (research/market/…, research/competitors/…). Dates YYYY-MM-DD.
artifactThe artifact name, used in the title and tags (for example Voice-of-customer bank, voc-bank).
title<Artifact> — <Brand> — <YYYY-MM-DD>; records with numbered versions add v<N>, and a suffixed file adds the same suffix (step 1).
tags[<playbook>, <artifact-slug>], plus any extra key the caller needs to tell copies apart (for example rival:<slug>). All lower-case. The first tag is the document's creator: normally the calling playbook; a shared atom that writes on behalf of another owner puts that owner first (voice-card, claims-gate).
versionedsupersede — a record that is replaced by its newest version (a bank, a profile, a landscape, an angle bank, a watchlist). keep-history — a dated period artifact (a weekly report, a digest, a dated read); older ones are history and are never deleted.
importyes (default) or no — no for working files that must stay out of brand knowledge (unsent reply drafts, raw item lists, pasted private material).

Brand Brain tools

The Brand Brain tools are brand_knowledge_save, brand_knowledge_search and brand_knowledge_read.

brand_knowledge_save has no document or report target. Its targets are learning, fact, claim, audience, competitor, product, kit fields, operating-plan sections and proposals. So documents keep the route below (workspace file → media_upload → knowledge_import) on every server. What changes when brand_knowledge_* tools are listed:

  • Read-back (step 6) uses gooseworks:brand_knowledge_search with source_types: ["document"], and gooseworks:brand_knowledge_read on the hit to read it in full. Otherwise use gooseworks:knowledge_search.
  • Status. An imported document is found: never call it confirmed, and it is never an approved claim (the marketing-guide §1.4).
  • Indexing lags. brand_knowledge_search can answer "Still indexing: N of M". That means "saved, not yet searchable", not a failure. Do not re-import.

Workspace scope

The scope in the marketing-guide skill §2, on every file call and on the upload's workspace source. With no coworker, tell the human once: "This brand has no coworker yet, so I saved it in your general workspace under its name."

Steps

  1. Read before you write (the marketing-guide §2). gooseworks:file_list the folder, then gooseworks:file_read the file if it exists. Merge: keep every existing row (ids are stable), add new rows, update changed rows in place, never silently drop a row — mark it status: retired (<reason>, <date>). Keep the file's header lines current. In another playbook's file, only add lines under your own request lines. Never overwrite another copy. A keep-history file this run did not write already at the path (another session, an earlier run today) stays: suffix this one's file name — the job slug where the caller has one, then -2, -3 — and its title the same way ( — <job slug>, (2), (3)), because step 5 deletes a copy with exactly this title. A supersede record is meant to be replaced and keeps its name.
  2. Write the file with gooseworks:file_write (same scope). If import: no, stop here.
  3. Register it as a brand document with gooseworks:media_upload — scope brand, kind document, source workspace (this path, this scope), title, tags. The inline bytes source does not take text documents; always go through the workspace.
  4. Import it with gooseworks:knowledge_import (the new media id), then gooseworks:job_get (kind knowledge_ingest, with brand_id) until it is ready. If any answer shows a price, stop and ask the human before going on.
  5. Retire old copies — only after step 4 is ready. List earlier copies with gooseworks:media_list (scope brand, kind document) and keep only rows that carry every tag the caller passed (including keys such as rival:<slug>) and whose first tag (the creator) is the caller's first tag — never the copy just imported, never a document whose first tag names someone else. Then:
    • versioned: supersede — delete (gooseworks:media_update delete) those whose title matches this title apart from the date (and version).
    • keep-history — delete only a copy with exactly this title (a re-run of the same period, written to the same file); other periods, and same-day copies with a suffixed title, are history and are never deleted. Deleting the upload also removes its knowledge, so search stops returning stale rows. The workspace file is never deleted.
  6. Verify. Search with a query that should hit the new content, using source_types: ["document"]: gooseworks:brand_knowledge_search when brand_knowledge_* tools are listed, otherwise gooseworks:knowledge_search. If it does not come back (or the brain says it is still indexing), say "saved, not yet searchable". Never claim it is in the brain when it is not.

If a tool is missing

Call gooseworks:tools_load once with the group (files, media, brand). If it still fails, give the artifact to the human in chat, say plainly that it is not saved to their brand, and record the failure in the run's hand-over.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Save To Brain AI skill do?

Shared step of the marketing playbooks (research-market, plan-campaign, make-content, analyze-performance): saves a finished file to the brand and makes it searchable. It either replaces older versions or keeps dated history, then checks that the file can be found. Loaded by those playbooks; not for direct use.

Why use Save To Brain on TypingMind?

Because you install it once and use it with any model. Save To Brain is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Save To Brain in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gooseworks-ai/goose-skills/tree/main/skills/marketing/save-to-brain. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Save To Brain?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Save To Brain?

As many as you like. As long as a model supports skills, you can use Save To Brain with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Save To Brain AI skill free?

Yes. It is published on GitHub by gooseworks-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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