Agent skill

Lamina

by aryaniyaps in aryaniyaps/lamina

Route ordinary product implementation and explicit Lamina lifecycle requests.

Apache-2.0Auto-check passedFrontend & Design

Install Lamina

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

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

GitHub CLI
$ gh skill install aryaniyaps/lamina lamina --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 .claude/skills/lamina && 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
GitHub stars
116
Token cost
~1.5k tokens
SKILL.md length
689 words
Files
40 (incl. references)
Skills in repo
10
Repo updated
First seen
Licence
Apache-2.0

At a glance

Route ordinary product implementation and explicit Lamina lifecycle requests.

  • Works in 3 steps: Open the selected capability's sibling… → Open every topic reference needed for… → Begin the answer with Using : .
  • Frontend & Design work in your project
  • SKILL.md covers Workflow routes, Capability routes, Ordinary implementation contract and Hard rules
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Lamina is an agent skill from aryaniyaps/lamina. Route ordinary product implementation and explicit Lamina lifecycle requests. Use passively after initialization for changes to product behavior, flows, permissions, states, failures, or UI; skip purely mechanical maintenance.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 45 other files, including reference files (for example `orchestrator/agents/research-synthesizer.md`, `orchestrator/agents/ux-lens-reviewer.md` and `orchestrator/artifacts.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

  • Frontend & Design work in your project

Example prompts

  • “/lamina”

Workflow steps

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

  1. Open the selected capability's sibling SKILL.md.
  2. Open every topic reference needed for the answer.
  3. Begin the answer with Using : .

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 loads about 1.5k tokens when it runs, and up to ~7.2k if it reads all its reference files. Until then it costs about 58 tokens; SKILL.md has 689 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~58
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.2k

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). 689 words, ~1,487 tokens.

Download SKILL.mdSave it as .claude/skills/lamina/SKILL.md (or your agent's skills folder). This skill also uses 39 other files; get the full folder from GitHub.
name
lamina
description
Route ordinary product implementation and explicit Lamina lifecycle requests. Use passively after initialization for changes to product behavior, flows, permissions, states, failures, or UI; skip purely mechanical maintenance.

/lamina

Use this as the compact Lamina router. The public catalog has four workflow skills and six capability skills. Load only the entrypoint and topic references needed for the current request.

Before graph work, read the CLI prerequisite. /lamina-init is the one explicit onboarding action. After initialization, ordinary product implementation language is the primary route.

Workflow routes

  • /lamina-init: use lamina-init.
  • Ordinary feature, behavior fix, flow refactor, or UI work: prepare the graph context, complete design gaps with lamina-design, derive and check the WorkMap, implement, collect evidence, and run lamina work verify.
  • Explicit /lamina-design: use lamina-design as a graph-only advanced override; never edit application source in that phase.
  • Explicit /lamina-verify: use lamina-verify as a source-read-only advanced override; never edit application source in that phase.
  • Focused product question: select one primary capability below, read its SKILL.md, then read the smallest relevant topic set before answering. Start the response with Using <capability>: <topic(s)> so routing is visible and deprecated focused names are never implied.

Never recommend /lamina-design or /lamina-verify as a next step in normal flow. Execute the required phase implicitly. Ask a question only when an unresolved decision would materially change the product contract.

Classify wording by requested action, not by the presence of a product problem: “help with,” “what should,” “how should,” critique, explanation, or planning without a request to change repository files is a focused question. Answer it through capability references without requiring initialization or entering the implementation workflow. Requests to add, fix, redesign, refactor, or otherwise change product behavior use the ordinary implementation route.

Focused-question protocol

For a focused question, do not answer from this router alone and do not suggest the implementation lifecycle. You must:

  1. Open the selected capability's sibling SKILL.md.
  2. Open every topic reference needed for the answer.
  3. Begin the answer with Using <capability>: <topic(s)>.

If the sibling or reference cannot be read, report the missing installed path instead of improvising its guidance.

Capability routes

NeedSkill
Evidence scope, actor walks, grounding, synthesis, research communicationlamina-research
Problem framing, business context, priorities, requirements, tradeoffslamina-product-discovery
Flows, IA, navigation, forms, content, accessibility, feedback, trustlamina-ux
Invariants, dependencies, consistency, concurrency, time, side effectslamina-product-behavior
Structure, feedback loops, traps, leverage, evolutionlamina-systems
Persona usability, heuristic review, quantitative validationlamina-evaluation

For detailed signal-to-topic routing, read the problem router. Old public names are a hard cutover; use the installed legacy-name lookup to locate their new capability and topic. Read the optional glossary only when unfamiliar Lamina or product-design terminology blocks routing; it is not a second topic index.

Show full SKILL.md (271 more words)Show less

Ordinary implementation contract

  1. Run lamina work prepare without --workflow first. Never invent a workflow ref; narrow only a genuinely ambiguous result with an exact ref.
  2. If design gaps exist, run one independent graph-resident Persona walk per active Persona, union discoveries, expand the graph, and repeat the full round until every discovery array is empty.
  3. Run lamina work map, resolve every obligation and Persona-bound Experience Case to valid implementation and test files, then run lamina work check. The checked map is immutable.
  4. Implement the mapped work.
  5. Reconcile with one-shot lamina graph observe, run and publish every active Persona Mission, and pass lamina work verify with the unchanged map.

Every current Persona walk covers every operation node, including denied and inapplicable nodes, and explicitly evaluates authorization, inputs, relationship identity and cardinality, required states, declared Scenarios, Invariant probes, transitions, and all required edge-case axes. Graph closure is authoritative; source retrieval only localizes evidence and code.

Every compiled Experience Case needs one passing oracle event with a structured observation and reproducible artifact. UI obligations require distinct functional, visual, responsive, and accessibility evidence. Missing audit capability blocks verification.

Hard rules

  • Ladybug is canonical and graphd is the sole writer.
  • Never expose raw Cypher or accept caller-supplied epistemic or approval state.
  • Never treat legacy run files, graph dumps, generic screenshots, or broad mappings as substitutes for current graph and Mission evidence.
  • Use sessions for multi-fact design changes and preserve stable Resource identity.
  • Do not cap active Personas.
  • Explicit design and verification phases do not edit application source.

Supporting orchestration is internal to this skill under orchestrator/; it is not a public skill.

© 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 39 other files (references) in skills/lamina of aryaniyaps/lamina.

  • SKILL.md
  • orchestrator/agents/research-synthesizer.md
  • orchestrator/agents/ux-lens-reviewer.md
  • orchestrator/artifacts.md
  • orchestrator/audit-profiles.yaml
  • orchestrator/load-protocol.md
  • orchestrator/merge-rules.md
  • orchestrator/patterns/fresh-context.md
  • orchestrator/patterns/parallel-review.md
  • orchestrator/patterns/persona-panel.md
  • orchestrator/patterns/visual-walkthrough.md
  • orchestrator/prerequisites/cli-required.md
  • orchestrator/prerequisites/init-required.md
  • orchestrator/prompts/checkpoints/continue-or-revise.md
  • orchestrator/prompts/manifest.yaml
  • … and 25 more

Open the folder on GitHubat commit af269ef

Compare with similar skills

Lamina 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 compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Lamina this skillaryaniyaps/lamina116—~1.5kAutomated safety check: PassApache-2.0
Web Artifacts Builderanthropics/skills180k41 repos~769Automated safety check: PassApache-2.0
React Doctormakeplane/plane61k12 repos~657Automated safety check: PassAGPL-3.0
Impeccablebestofjs/bestofjs3.1k27 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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More from aryaniyaps/lamina

All 10 skills in this repo
  • Lamina Product Behavior

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    Define authoritative runtime product truth across actors and views.

    116 GitHub stars~775 tokensUpdated 8 days ago
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  • Lamina Product Discovery

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    Frame product problems and decide what to build. An agent skill from aryaniyaps/lamina.

    116 GitHub stars~688 tokensUpdated 8 days ago
    Auto-check passed
  • Lamina Research

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

    116 GitHub stars~768 tokensUpdated 8 days ago
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  • Lamina Systems

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    Reason about causal product systems and change over time. An agent skill from aryaniyaps/lamina.

    116 GitHub stars~514 tokensUpdated 8 days ago
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  • Lamina UX

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    Design understandable and accessible product interactions. An agent skill from aryaniyaps/lamina.

    116 GitHub stars~1k tokensUpdated 8 days ago
    Auto-check passed
  • Lamina Evaluation

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    Judge product usability and evidence quality. An agent skill from aryaniyaps/lamina.

    116 GitHub stars~432 tokensUpdated 8 days ago
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Questions about Lamina

What does Lamina do?

Route ordinary product implementation and explicit Lamina lifecycle requests. Lamina is an agent skill from aryaniyaps/lamina. Route ordinary product implementation and explicit Lamina lifecycle requests.

When should I use Lamina?

Lamina fits situations like: frontend & Design work in your project.

How do I install Lamina in Claude Code?

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

How do I install Lamina in Codex?

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

Can I use Lamina 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 -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, .gemini/skills/lamina, .github/skills/lamina and .opencode/skills/lamina in your project.

What does Lamina need to run?

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

Does Lamina 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 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 use?

Lamina 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 use?

About 1.5k tokens (SKILL.md is roughly 5.9k 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 5.7k tokens, read only when the agent opens those files.

What are the alternatives to Lamina?

Skills that share tags, products or a category with Lamina: 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?

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.