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Skill Authoring

OrganizationPopular
agent0ai
Skill Authoring

Author or update onscreen agent skills under ext/skills

Overview

Publisheragent0ai
Repositoryspace-agent
Skill nameSkill Authoring
Stars
1.4K
Forks
323
Bundled files
Instructions only
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.

  • Self-contained

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

  • Open source

    Published by agent0ai on GitHub. Read the source before you install it.

Installation

Install the Skill Authoring 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/agent0ai/space-agent.git /tmp/space-agent
mkdir -p .claude/skills
cp -r /tmp/space-agent/app/L0/_all/mod/_core/skillset/ext/skills/development/skills .claude/skills/agent0ai-skill-authoring
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Authoring 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 Skill Authoring 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 Skill Authoring 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.

Use this skill when creating or updating skills for the onscreen chat agent.

Skill File Layout

  • Onscreen chat-agent skills live inside browser modules under mod/<author>/<repo>/ext/skills/....
  • Repo-owned first-party shared onscreen skills should normally live under app/L0/_all/mod/_core/skillset/ext/skills/....
  • Module-specific skills that describe one module's private contracts may live under that owning module's ext/skills/... tree.
  • Group-scoped or admin-only onscreen skills may live under readable customware roots such as app/L0/_admin/mod/_core/<module>/ext/skills/....
  • A skill file is always named SKILL.md.
  • The skill id is the path relative to ext/skills/ with the trailing /SKILL.md removed.

Examples:

  • mod/_core/skillset/ext/skills/browser-control/SKILL.md -> browser-control
  • mod/_core/skillset/ext/skills/development/SKILL.md -> development
  • mod/_core/skillset/ext/skills/development/modules-routing/SKILL.md -> development/modules-routing

Catalog Rules

  • The onscreen prompt catalog lists only top-level skills from ext/skills/*/SKILL.md.
  • Nested skills are not listed by default.
  • Both the catalog and explicit space.skills.load(...) calls evaluate the current document's <x-context> tags before a skill is eligible.
  • metadata.when may be true or a { tags: [...] } condition; metadata.when.tags requires all listed tags before the skill becomes catalog-loadable.
  • metadata.placement accepts system, transient, or history; ordinary skills default missing or invalid placement to history, but auto-loaded skills may not resolve to history, so missing or invalid placement and explicit history all fall back to system unless the skill explicitly sets transient.
  • Only top-level ext/skills/*/SKILL.md skills can auto-load through prompt discovery. Nested skills stay explicit-load-only routing targets even if they define metadata.loaded.
  • Auto-loaded skills appear after the catalog in the auto loaded prompt block when their effective placement is system, or in the transient channel when they explicitly set metadata.placement: transient.
  • Routing skills should tell the agent which deeper skill ids to load next.
  • space.skills.load("<path>") loads the full skill file on demand and applies the same placement rule.
  • history placement keeps the loaded skill body in ordinary execution-output history.
  • system placement stores the loaded skill in the current chat's runtime system-skill registry and execution reports skill loaded to system message.
  • transient placement stores the loaded skill in the current chat's runtime transient-skill registry and execution reports skill loaded to transient area.
  • Auto-loaded skills cannot resolve to history; if they also set metadata.loaded, then metadata.placement: history is treated as system.
  • A plain top-level await space.skills.load("<path>") is enough to apply the placement; use return only if you also want the execution result value explicitly.

Conflict Rules

  • Skill ids must be unique across readable mods.
  • If a skill is visible only to a narrower audience, still give it a top-level id that will not collide with shared _all skills that those users can also read.
  • Conflicting ids are omitted from the catalog.
  • Loading a conflicting id fails with an ambiguity error.

Skill Content Rules

  • Start with frontmatter containing name, description, and optional runtime-owned metadata.
  • Framework bootstrap already exports exactly one runtime context: data-runtime="browser" in normal web sessions or data-runtime="app" in the packaged desktop runtime, plus the derived tag runtime-browser or runtime-app; packaged app routes derive that from the desktop bridge before falling back to launcher runtime info or frontend config.
  • Import /mod/_core/framework/js/context.js when code needs to read the current live <x-context> set directly; use getTags(...) for tag collection, getAttributeValues("data-runtime", ...) for raw runtime reads, and the other helpers for broader context inspection.
  • Use <x-context> tags in mounted DOM when a module needs to expose additional live skill-filter state such as onscreen, admin, route:spaces, or space:open.
  • Use metadata.when.tags when the skill should exist only in those live contexts.
  • Use metadata.loaded only when the skill should be auto-injected without an explicit space.skills.load(...) call.
  • Use metadata.placement: system when the skill body is durable instruction, metadata.placement: transient when it should live in the mutable transient block, and let the default history placement stand only for ordinary non-auto-loaded skills that should behave like normal conversation context.
  • Prompt-facing skill text is token-budgeted. Keep wording terse, avoid unnecessary markdown or filler, and measure before or after changes with the local tokenizer when you edit auto-loaded or catalog-facing skill text.
  • When a skill needs reusable browser logic, prefer a small JS helper stored inside that skill's own folder and imported from a stable /mod/<author>/<repo>/ext/skills/... path instead of pasting a long inline script into SKILL.md.
  • Keep the top-level router skill directive and concise.
  • Keep nested skills focused on one stable area.
  • Prefer exact file paths, runtime names, and examples over vague guidance.
  • If a skill subtree becomes complex, add an AGENTS.md file inside that subtree and keep it current.

Maintenance Rules

  • When a mirrored source contract changes, update the affected skill files in the same session.
  • When a stable feature or workflow changes, update the relevant docs under /mod/_core/documentation/docs/ and the documentation skill at /mod/_core/documentation/ext/skills/documentation/SKILL.md in the same session.
  • Do not let skill guidance drift away from the owning AGENTS.md files.
  • For the development super-skill specifically, keep /mod/_core/skillset/ext/skills/development/AGENTS.md current whenever the framework, router, API, layer, or auth contracts it mirrors change.

Frequently asked questions

What does the Skill Authoring AI skill do?

Author or update onscreen agent skills under ext/skills

Why use Skill Authoring on TypingMind?

Because you install it once and use it with any model. Skill Authoring 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 Skill Authoring in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/agent0ai/space-agent/tree/main/app/L0/_all/mod/_core/skillset/ext/skills/development/skills. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Skill Authoring?

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 Skill Authoring?

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

Is the Skill Authoring AI skill free?

Yes. It is published on GitHub by agent0ai 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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