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Atlas Self Configure

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pacifio
atlas-self-configure

Inspect and safely update Atlas user preferences through Atlas's config.toml.

Overview

Publisherpacifio
Repositoryatlas
Skill nameatlas-self-configure
Stars
4.8K
Forks
292
Bundled files
Instructions only
LicenseApache-2.0
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by pacifio on GitHub. Read the source before you install it.

Installation

Install the Atlas Self Configure 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.
  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/pacifio/atlas.git /tmp/atlas
mkdir -p .claude/skills
cp -r /tmp/atlas/src-tauri/resources/skills/atlas-self-configure .claude/skills/atlas-self-configure
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Atlas Self Configure 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 Atlas Self Configure 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 Atlas Self Configure 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.

Atlas self-configure

Atlas's user-facing preferences live in one human-editable file, config.toml. This skill is how you (an agent) read and change it safely — without touching anything else Atlas persists.

Where the file lives

~/.config/atlas/config.toml

The same path on every platform. If $XDG_CONFIG_HOME is set to an absolute path, it's $XDG_CONFIG_HOME/atlas/config.toml instead — check that variable before assuming.

Editing that file is the supported mechanism, and the only one available to you: Atlas's config commands are IPC endpoints reachable from its own UI, not agent tools. Atlas watches the file and validates every change you make (see step 6 below), so a direct edit is a first-class way in — not a workaround.

If the file does not exist yet, Atlas hasn't created it (a fresh install before first launch, or the user deleted it). Do not create one speculatively — report that to the user instead of guessing at defaults.

The schema is in the file

Atlas writes a comment above every key: what it does, its default, and any constraint on its value — a numeric range, an exact set of allowed strings, "must not be empty". Read those comments and follow them. They are generated from the same table Atlas validates against, so they cannot drift from what it will actually accept.

Do not work from a schema you remember, or from one you saw in another project. The file in front of you is authoritative, and it is the only thing guaranteed to match the Atlas build the user is running.

Two things the comments won't spell out:

  • A key that isn't there. Some settings mean "unset" by being absent — TOML has no null. The comment for such a key sits above whichever key follows it, so read the whole [settings] block, not just the lines with values on them. To clear one of these, delete its line; never write an empty string.
  • A key Atlas doesn't recognize. It's preserved untouched and reported to the user as a diagnostic. Never delete a key you don't recognize.

Making a change

  1. Read the whole file first. You need its comments and formatting to avoid disturbing them, and you need the target key's comment to know what a valid value even is.

  2. Explain what you're about to change to the user before writing: the key, its current value, the new value, and what it does — quoting the file's own comment. Don't silently flip a setting.

  3. Change only the line (or few lines) you mean to change. Leave every other key, comment, and blank line exactly as it was — including the comment above the key you're editing, which is Atlas's to rewrite, not yours. Do not reformat, reorder, or re-indent anything:

    diff
     # Inline git blame — a dim author/age/summary annotation trailing the
     # active line in the editor. (default: true)
    -someSetting = true
    +someSetting = false
  4. Validate the value against that key's comment before writing. If the comment states a range or a fixed set of values and the user asked for something outside it, say so and stop; don't write it and let Atlas reject it.

  5. Write atomically: write your edited content to a new file in the same directory (e.g. config.toml.tmp.<random>), then rename/move it over config.toml. Never edit in place — a crash or a concurrent Atlas reload mid-write must not leave a half-written file behind.

  6. Re-read the file after writing to confirm your change landed.

Atlas re-validates the whole file whenever it notices a change, live, no restart. An invalid edit is rejected entirely and Atlas keeps running on the last good settings — but the file stays as you wrote it, and while it's invalid Atlas also refuses every settings write from its own UI, until someone repairs it or uses "Recreate defaults" (which overwrites it, keeping a .bak-<unix-seconds> copy). So a bad write is not free: report it and offer to restore the exact content you read in step 1, rather than trying to patch your way out.

What this skill must never touch

  • API keys, tokens, or any credential — Atlas doesn't store these in a file it owns at all; they live in the user's own shell profile. Never write secrets into config.toml.
  • state.json, device.json, telemetry.json — separate files with separate ownership; not in scope for this skill.
  • The user's shell profile (~/.zshrc and similar).
  • Atlas's own binary, packages, or update mechanism. "Self-configure" means preferences only, never self-update.
  • Session history, transcripts, or any per-project .atlas/ state — none of that is a "setting."

If a request needs any of the above, say so plainly and stop — it's out of scope for this skill, not something to work around.

Frequently asked questions

What does the Atlas Self Configure AI skill do?

Inspect and safely update Atlas user preferences through Atlas's config.toml.

Why use Atlas Self Configure on TypingMind?

Because you install it once and use it with any model. Atlas Self Configure 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 Atlas Self Configure in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/pacifio/atlas/tree/main/src-tauri/resources/skills/atlas-self-configure. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Atlas Self Configure?

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 Atlas Self Configure?

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

Is the Atlas Self Configure AI skill free?

Yes. It is published on GitHub by pacifio under the Apache-2.0 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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