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Agent Orchestration
Skill

/lamina-research

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

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lamina
12010 skills
Install
$ npx -y skills add aryaniyaps/lamina --skill lamina-research --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/lamina-research

Context preview

The summary Claude sees to decide when to auto-load this 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

SKILL.md

lamina-research.SKILL.md
name: lamina-research
description: "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."

Lamina Research

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 signal | Read | Adds | |---|---|---| | Need to plan who or what a verification pass will exercise | [Simulation Planning](references/research-planning.md) | actors, probes, parallel groups, and success criteria | | Need to distinguish known evidence, assumptions, and evidence gaps | [Evidence Scoping](references/research-scoping.md) | source inventory and confidence labels | | Need to merge several walkthrough results into non-duplicative findings | [Simulation Synthesis](references/research-synthesis.md) | clustering, root causes, severity, and traceability | | Need to hand research findings to a designer or implementer | [Findings Communication](references/research-communication.md) | reproducible evidence and actionable finding structure | | Need to inspect an existing repository, running product, capture, or ticket | [Live Product Grounding](references/field-research.md) | grounded surface and behavior claims | | Need to define what each actor should attempt in a walkthrough | [Actor-Walk Script Design](references/interview-design.md) | goals, starting state, stress probes, and observable success | | Need to record a walkthrough so another person can reproduce it | [Walkthrough Evidence](references/interview-documentation.md) | per-step expected/observed evidence | | Need to learn from a user-supplied competitor, screenshot, or reference | [Reference Patterns](references/competitive-analysis.md) | borrowed patterns and deliberate differences without market theater | | Need to define evidence-backed Personas, Actors, permissions, or constraints | [User Modeling](references/user-modeling.md) | provenance-aware user and authority models | | Need to decompose an actor goal into operations and workflow steps | [Task Analysis](references/task-analysis.md) | 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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