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Mine

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ohad6k
mine

Use only when the user explicitly asks to run, set up, update, re-mine, or deepen Emulo from real local AI coding-session history.

Overview

Publisherohad6k
Repositoryemulo
Skill namemine
Stars
298
Forks
31
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 ohad6k on GitHub. Read the source before you install it.

Installation

Install the Mine 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/skills/mine
  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/skills/mine .claude/skills/mine
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mine 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 Mine 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 Mine 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 mine

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

  1. Resolve EMULO_PY to emulo.py two directories above this skill, falling back to ./emulo.py only in a direct checkout. Confirm Python 3 exists.
  2. The full-history quality default reads all eligible history. Run read-only python "$EMULO_PY" plugin preflight, show valid sessions, post-dedupe source tokens, selected source tokens, cache hits, planned worker calls, and planned reducer calls, then wait for explicit cost approval before model work.
  3. Only when the user explicitly asks for a quick preview, run preflight and prepare with --preview. Say this exactly before approval: Quick preview creates a starter profile from selected history, not the full profile. Never call preview the default, the full profile, or equivalent in quality to full-history mining.
  4. Retain the displayed approval_hash. Run python "$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 the exact run_id, selected segment/report paths, and pack_path.
  5. Run one fast worker for each uncached selected segment. Each reads only its segment and the per-segment contract in MINING_PROMPT.md, writes its assigned JSON report, and runs the read-only plugin validate-report command until accepted.
  6. Cache each accepted report with plugin cache-report; stop on rejection.
  7. Run one strongest-available reducer over only the validated reports and the combined reducer contract. It writes the complete assigned pack and self-validates with plugin validate-pack.
  8. Activate only the validated pack with plugin activate, then run plugin status and render the card. Report active version, domain states, selected source tokens, actual worker/reducer passes, cache reuse, and targeted-deepen instructions.

Every prepared mode requires explicit approval of its displayed plan. Installation itself scans no logs and schedules zero mining calls. An identical update schedules zero additional Emulo mining calls, although the host task still has normal interaction overhead.

Adaptive receipt/scout stages are experimental and excluded from the Plugin release path. Run --stage A only when a developer explicitly requests experimental adaptive-recall testing; never select it automatically or use it for release calibration.

Frequently asked questions

What does the Mine AI skill do?

Use only when the user explicitly asks to run, set up, update, re-mine, or deepen Emulo from real local AI coding-session history.

Why use Mine on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ohad6k/emulo/tree/main/skills/mine. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Mine?

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 Mine?

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

Is the Mine 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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