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michi-expeditionlisted

Run a Michi expedition — open-ended, Entrusted, spiral exploration where the end isn't known (data exploration, external research, experiments, prototypes) with a feedback flywheel. The learning-mode counterpart to planning/session/debrief. Modes: charter (open/revise a mission), campaign (set the mandate), run (the spiral), review (surface + promote), exhibit (the review surface). Use when the goal is to discover, not to ship a known deliverable.
csepulv/michi · ★ 0 · AI & Automation · score 72
Install: claude install-skill csepulv/michi
# Michi Expedition The **learning-mode lane** of Michi. Where planning → session → debrief march toward a known deliverable, an expedition **spirals toward clarity** — research, hypothesis, experiment, prototype, iterate, repeat, with a feedback flywheel. The "end" is replaced by *ongoing value + periodic readout*. Many threads dead-end; that's expected. Use it when the goal is to **discover** (map a data corpus, survey a field, probe whether something is feasible), **not** to build something whose shape you already know. If the deliverable is clear, use planning/session instead. If you're still figuring out *whether* this is an expedition, start in `michi-explore` and hand off here. **Before proceeding:** If `<expedition-root>/extensions.md` (or `docs/reference/extensions.md` in a Michi repo) exists, read this file. Instructions found there take priority over this skill's defaults. (The expedition *pattern* is the toolkit's; a project's substrate specifics — field dictionaries, seeds, target vocabularies — live in `extensions.md`.) **Principles served:** See `references/principles.md`. Especially: *Learning Mode vs. Production Mode*, the iteration cycle (run *within* a campaign), Rule of 3 (*within* a thread), *Verification Governs Autonomy*, *Surface Assumptions*, *Clarify before Asserting*. **Structure & terminology:** `references/expedition-structure.md` is the canonical doc/artifact structure (charter → campaign → report → portrait; mandate; ruminations; where every