Lamina Research

SkillProductivity

Plan and synthesize evidence-grounded product research. Use when deciding what evidence is needed, designing actor walkthroughs, grounding claims in a repository or live product, analyzing user-provided references, modeling users and tasks, or communicating findings without inventing data. Use lamina-evaluation instead to judge a built product, and lamina-ux to design interaction behavior.

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 Lamina Research skill

What this skill tells your AI

The instructions your AI receives, as published by aryaniyaps/lamina in skills/lamina-research/SKILL.md and read by ahel’s review.

Reference-loading protocol

  1. Match the request's primary research decision to one row below.
  2. Open that linked reference before answering. Add another only when a second decision materially changes the answer; do not preload the directory.
  3. Start the response with Using lamina-research: <topic path(s)> so the selected evidence lens is auditable.

Topic index

Decision signalReadAdds
Need to plan who or what a verification pass will exerciseSimulation Planningactors, probes, parallel groups, and success criteria
Need to distinguish known evidence, assumptions, and evidence gapsEvidence Scopingsource inventory and confidence labels
Need to merge several walkthrough results into non-duplicative findingsSimulation Synthesisclustering, root causes, severity, and traceability
Need to hand research findings to a designer or implementerFindings Communicationreproducible evidence and actionable finding structure
Need to inspect an existing repository, running product, capture, or ticketLive Product Groundinggrounded surface and behavior claims
Need to define what each actor should attempt in a walkthroughActor-Walk Script Designgoals, starting state, stress probes, and observable success
Need to record a walkthrough so another person can reproduce itWalkthrough Evidenceper-step expected/observed evidence
Need to learn from a user-supplied competitor, screenshot, or referenceReference Patternsborrowed patterns and deliberate differences without market theater
Need to define evidence-backed Personas, Actors, permissions, or constraintsUser Modelingprovenance-aware user and authority models
Need to decompose an actor goal into operations and workflow stepsTask Analysisoutcome-oriented task structure and working sets

Working rule

Use the smallest sufficient reference set. Common pairs are evidence scoping + live grounding before a study, and actor-walk design + walkthrough evidence for a reproducible session. Preserve permissions, states, failures, recovery, relationships, and evidence limits. Route elsewhere only when another capability's decision materially changes the research plan.

Signals

GitHub stars
114
Forks
3
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
lamina-research
Source
github.com/aryaniyaps/lamina