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.
Profile →npx skills add ohad6k/emulo --skill mine --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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`.
What does the mine 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.
How do I install it?
Run `npx skills add ohad6k/emulo --skill mine --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ohad6k/emulo, a repository with 215 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.