Agent skill

Lamina Research

by aryaniyaps in aryaniyaps/lamina

Plan and synthesize evidence-grounded product research. An agent skill from aryaniyaps/lamina.

Apache-2.0Auto-check passedFrontend & Design

Install Lamina Research

skills CLI
$ npx skills add aryaniyaps/lamina --skill lamina-research -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aryaniyaps/lamina lamina-research --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aryaniyaps/lamina.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/lamina-research .claude/skills/lamina-research && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
lamina-research
GitHub stars
116
Token cost
~768 tokens
SKILL.md length
291 words
Files
11 (incl. references)
Skills in repo
10
Repo updated
First seen
Licence
Apache-2.0

At a glance

Plan and synthesize evidence-grounded product research. An agent skill from aryaniyaps/lamina.

  • Works in 3 steps: Match the request's primary research… → Open that linked reference before… → Start the response with Using…
  • Deciding what evidence is needed
  • SKILL.md covers Reference-loading protocol, Topic index and Working rule
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Lamina Research is an agent skill from aryaniyaps/lamina. 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.

Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including reference files (for example `references/competitive-analysis.md`, `references/field-research.md` and `references/interview-design.md`).

It sits in Frontend & Design. The repository describes itself as: Headless product design for AI coding agents, backed by a transactional product graph | Design how it works, verify what you ship. The licence is Apache-2.0.

When your agent uses it

  • Deciding what evidence is needed
  • Designing actor walkthroughs
  • Grounding claims in a repository
  • Analyzing user-provided references

Example prompts

  • “/lamina-research”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  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
  3. Start the response with Using lamina-research: so the

What it can do on your machine

Read from SKILL.md and the folder at commit af269ef. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Lamina Research loads about 768 tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 102 tokens; SKILL.md has 291 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~102
When it runs · the whole SKILL.md, loaded when a task matches
~768
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from aryaniyaps/lamina at commit af269ef, republished under its Apache-2.0 licence (© aryaniyaps). 291 words, ~768 tokens.

Download SKILL.mdSave it as .claude/skills/lamina-research/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.
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 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.

© aryaniyaps, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 10 other files (references) in skills/lamina-research of aryaniyaps/lamina.

  • SKILL.md
  • references/competitive-analysis.md
  • references/field-research.md
  • references/interview-design.md
  • references/interview-documentation.md
  • references/research-communication.md
  • references/research-planning.md
  • references/research-scoping.md
  • references/research-synthesis.md
  • references/task-analysis.md
  • references/user-modeling.md

Open the folder on GitHubat commit af269ef

Compare with similar skills

Lamina Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Lamina Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Lamina Research this skillaryaniyaps/lamina116—~768Automated safety check: PassApache-2.0
Web Artifacts Builderanthropics/skills180k40 repos~769Automated safety check: PassApache-2.0
React Doctormakeplane/plane61k12 repos~657Automated safety check: PassAGPL-3.0
Impeccablebestofjs/bestofjs3.1k26 repos~2.6kAutomated safety check: PassMIT
Figma Design System Builderwarpdotdev/warp65k2 repos~4.4kAutomated safety check: PassAGPL-3.0
Web Interface Guidelines Reviewervercel-labs/openreview1.7k97 repos~308Automated safety check: PassNone

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Questions about Lamina Research

What does Lamina Research do?

Plan and synthesize evidence-grounded product research. An agent skill from aryaniyaps/lamina. Lamina Research is an agent skill from aryaniyaps/lamina. Plan and synthesize evidence-grounded product research.

When should I use Lamina Research?

Lamina Research fits situations like: deciding what evidence is needed; designing actor walkthroughs; grounding claims in a repository; analyzing user-provided references.

How do I install Lamina Research in Claude Code?

Run `npx skills add aryaniyaps/lamina --skill lamina-research -a claude-code`. Or copy the skill folder (skills/lamina-research in aryaniyaps/lamina) into .claude/skills/lamina-research in your project. Claude Code loads it when a task matches its description.

How do I install Lamina Research in Codex?

Run `npx skills add aryaniyaps/lamina --skill lamina-research -a codex`. Or copy the skill folder (skills/lamina-research in aryaniyaps/lamina) into .agents/skills/lamina-research in your project. Codex loads it when a task matches its description.

Can I use Lamina Research in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aryaniyaps/lamina --skill lamina-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lamina-research, .gemini/skills/lamina-research, .github/skills/lamina-research and .opencode/skills/lamina-research in your project.

What does Lamina Research need to run?

SKILL.md names no scripts, command-line tools or credentials: Lamina Research is instructions for the agent only.

Does Lamina Research access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Lamina Research safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Lamina Research use?

Lamina Research is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Lamina Research use?

About 768 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2k tokens, read only when the agent opens those files.

What are the alternatives to Lamina Research?

Skills that share tags, products or a category with Lamina Research: Web Artifacts Builder (anthropics/skills, 180k stars), React Doctor (makeplane/plane, 61k stars), Impeccable (bestofjs/bestofjs, 3.1k stars) and Figma Design System Builder (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lamina Research?

aryaniyaps (a GitHub user) maintains it in aryaniyaps/lamina, which has 116 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on October 1, 2026.

Source: aryaniyaps/lamina on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.