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Emulo

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ohad6k
emulo

Use when the user explicitly asks to run, set up, update, re-mine, or deepen Emulo from real local AI coding-session history and native emulo:mine is not available. This is the cross-agent skills.sh bootstrap, not the native namespaced plugin.

Overview

Publisherohad6k
Repositoryemulo
Skill nameemulo
Stars
298
Forks
31
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

    Published by ohad6k on GitHub. Read the source before you install it.

Installation

Install the Emulo 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/ohad6k/emulo/tree/main/.agents/skills/emulo
  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/ohad6k/emulo.git /tmp/emulo
mkdir -p .claude/skills
cp -r /tmp/emulo/.agents/skills/emulo .claude/skills/emulo
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Emulo 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 Emulo 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 Emulo 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.

Emulo bootstrap

Mine only real user-authored .jsonl sessions. Never synthesize a profile from rules files, memory, or a typed self-description.

  1. Resolve the runtime. Let SKILL_DIR be the directory containing this file. In a repository checkout, use SKILL_DIR/../../../emulo.py and SKILL_DIR/../../../MINING_PROMPT.md. Otherwise run python "$SKILL_DIR/scripts/bootstrap.py" and read its JSON paths. The bootstrap accepts only an exact release tag and verified SHA-256 values; never fetch executable code from mutable main.

  2. The full-history quality default reads all eligible history. Run read-only python "$EMULO_PY" plugin preflight, show valid sessions, post-dedupe source tokens, selected source tokens, cache hits, planned_worker_calls, and planned_reducer_calls, then wait for explicit cost approval before model work.

  3. Only when the user explicitly asks for a quick preview, use --preview for both preflight and prepare. Say this exactly before approval: Quick preview creates a starter profile from selected history, not the full profile. Never call preview the default, the full profile, or equivalent in quality to full-history mining.

  4. Retain the displayed approval_hash. Run python "$EMULO_PY" plugin prepare --approved-plan-hash HASH with the exact approved mode. If the hash changed, show the new plan and obtain approval again. Retain run_id, assigned segment/report paths, and pack_path from the run JSON.

  5. For each uncached selected segment, run one fast worker over that segment and the per-segment contract in the resolved MINING_PROMPT.md. Cache every JSON report with plugin cache-report; stop on rejection.

  6. Run one strongest-available reducer over only the validated reports and the reducer contract. Write the complete pack to pack_path, then activate it with plugin activate.

  7. Resolve the active core profile with plugin profile-path --domain work. If the current host already has the native Emulo plugin, do not create a competing direct profile. Otherwise install the core profile through the existing exact adapter for the current host and verify it in a fresh task.

  8. Report the active version, core install path, active/inactive domains, selected source tokens, actual worker/reducer passes, cache reuse, card path, and any exact targeted-deepen instruction. Then tell the user how the profile reaches the model on this host, because installing is not loading: in Claude Code the you skill is not reliably opened on its own, so they type /you (or /you <task>) to load it; in Codex the skill is opened only when a request matches its description, and emulo --install <core profile path> --target agents --repo . in a project adds it to that project's AGENTS.md, the route verified end to end in Codex in one test. Never run that for them without naming the folder and getting a yes, and tell them it writes the whole profile, quotes from their sessions included, into a file that is usually committed and shared, so it should stay out of version control.

  9. Offer the native plugin once, after the report. It adds the namespaced emulo:mine, emulo:work, emulo:design, emulo:write, and emulo:video skills on top of the core profile just installed. Ask first, accept a no, and never install it without an explicit yes. Skip the offer entirely when the host already has the plugin. On approval in Codex, run codex plugin marketplace add ohad6k/emulo --ref TAG --json and then codex plugin add emulo@emulo --json, where TAG is the exact release tag matching the installed version, never main. Report what got installed. In Claude Code the /plugin commands are typed by the user and an agent cannot run them, so print exactly these two lines for the user to paste, in this order, and say the five skills are registered once the second one finishes:

text
/plugin marketplace add ohad6k/emulo
/plugin install emulo@emulo

The npx bootstrap installs the approved core profile across supported agents. The emulo:work, emulo:design, emulo:write, and emulo:video skills belong to the separately installed native plugin, which step 9 offers once the profile exists; the host decides when to open them. Asking an agent to orchestrate setup still consumes that host interaction even when Emulo plans zero mining passes.

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 Emulo AI skill do?

Use when the user explicitly asks to run, set up, update, re-mine, or deepen Emulo from real local AI coding-session history and native emulo:mine is not available. This is the cross-agent skills.sh bootstrap, not the native namespaced plugin.

Why use Emulo on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ohad6k/emulo/tree/main/.agents/skills/emulo. 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 Emulo?

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 Emulo?

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

Is the Emulo AI skill free?

Yes. It is published on GitHub by ohad6k 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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