Research Routes Explore

SkillDev tools

Explore open-ended scientific or product questions through multiple concurrent Research Routes branches, probes, experiments, observations, evidence polarity, failure regimes, unknowns, and mature-method comparators. Use for research exploration or hybrid discovery from any starting point while keeping a route-neutral terrain map separate from claims, authorization, implementation, and canonical state.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Research Routes Explore skill

What this skill tells your AI

The instructions your AI receives, as published by zenx0x/allinluna in plugins/research-routes/skills/research-routes-explore/SKILL.md and read by ahel’s review.

Explore without collapsing uncertainty. The Research Pack is append-only and route-neutral.

  1. Start from the supplied question, problem, frame, repository, artifact, or arbitrary context; record it as the starting point.
  2. Build a terrain map and shared backbone before selecting a route.
  3. Keep at least two viable routes or explicitly record why only one route is available. Branch routes rather than overwriting them.
  4. Design probes and experiments with boundary conditions and failure regimes. Record observations as evidence with polarity and provenance.
  5. Preserve contradictions and unknowns. A null or failure result is still an observation and does not silently invalidate a route.
  6. Keep candidate inference, experiment authorization, HumanDecision, implementation, and canonical promotion as separate transitions.
  7. Compare mature methods and alternative explanations when the question is scientific; preserve their scope and limitations.
  8. Record failures with polarity and what did not fail, then use rewind, lessons, and reopened problems to recover without rewriting history.
  9. Do not treat a terrain map as a route choice, experiment authorization, implementation, HumanDecision, or canonical-state promotion.

The shared semantic model and schema are authoritative for node, relation, polarity, route, and lifecycle values.

Signals

GitHub stars
58
Forks
1
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
research-routes-explore
Source
github.com/zenx0x/allinluna