Lamina Research Agent Skill
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.
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/aryaniyaps/lamina --skill lamina-researchWhat comes with it
8 192 bytes besides the instructionThe instruction itself
4 sections, as written by the authorLamina Research
Reference-loading protocol
- Match the request's primary research decision to one row below.
- Open that linked reference before answering. Add another only when a second
decision materially changes the answer; do not preload the directory.
- Start the response with
Using lamina-research: <topic path(s)>so the
selected evidence lens is auditable.
Topic index
| Decision signal | Read | Adds |
|---|---|---|
| Need to plan who or what a verification pass will exercise | Simulation Planning | actors, probes, parallel groups, and success criteria |
| Need to distinguish known evidence, assumptions, and evidence gaps | Evidence Scoping | source inventory and confidence labels |
| Need to merge several walkthrough results into non-duplicative findings | Simulation Synthesis | clustering, root causes, severity, and traceability |
| Need to hand research findings to a designer or implementer | Findings Communication | reproducible evidence and actionable finding structure |
| Need to inspect an existing repository, running product, capture, or ticket | Live Product Grounding | grounded surface and behavior claims |
| Need to define what each actor should attempt in a walkthrough | Actor-Walk Script Design | goals, starting state, stress probes, and observable success |
| Need to record a walkthrough so another person can reproduce it | Walkthrough Evidence | per-step expected/observed evidence |
| Need to learn from a user-supplied competitor, screenshot, or reference | Reference Patterns | borrowed patterns and deliberate differences without market theater |
| Need to define evidence-backed Personas, Actors, permissions, or constraints | User Modeling | provenance-aware user and authority models |
| Need to decompose an actor goal into operations and workflow steps | Task Analysis | outcome-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.
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How to use it
Take aryaniyaps/lamina-research from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.