Lamina
Headless product design for AI coding agents, backed by a transactional product graph | Design how it works, verify what you ship.
Supply asset profile
Research and knowledge work
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add aryaniyaps/lamina
Maintenance
fresh
7d since push
Risk
Safe to try
Quality score needs review
GitHub quality
68
79/100 Quality · 77/100 Trust
Coverage tags
Review notes
Quality score needs review · GitHub adoption: 68 GitHub stars
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
68 GitHub stars
Repo activity
68 stars, 3 forks
Maintenance
7d since push
License
Apache-2.0
Install
npx skills add aryaniyaps/lamina
Install safety
standard package or runtime install path
Permission surface
shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- Quality score needs review
- GitHub adoption: 68 GitHub stars
- Stars/forks activity: 68 stars, 3 forks; issue activity unavailable in current metadata
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- Research agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Search sources
Suited agents
Install decision
- Command
- npx skills add aryaniyaps/lamina
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 69/100
- Audit
- 84/100
- Risk level
- Safe to try
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Do not use when
- teams that need a vendor-supported SLA
- high-compliance environments without internal security review
- No OpenAgentSkill engagement data yet
- High-risk permission hints: Shell or command execution
- Quality score needs review
Agent safety v2
56/100 · Review before install
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Shell or command execution
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
- High-risk permission hints: Shell or command execution
- Quality score needs review
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
OpenAgentSkill CLI
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add aryaniyaps/laminaAgent resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20Lamina%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Lamina%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/aryaniyaps-lamina/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use Lamina in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Lamina%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/aryaniyaps-lamina/install
Install command: npx skills add aryaniyaps/lamina
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/aryaniyaps-lamina/install
LLM text format
/api/skills/aryaniyaps-lamina/install?format=text
Find alternatives
/api/skills/search?q=Lamina&limit=3
Agent prompt
Use Lamina for this task. Review https://www.openagentskill.com/api/skills/aryaniyaps-lamina/install, then install with: npx skills add aryaniyaps/laminaRegistry metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/aryaniyaps-lamina
LLM text
/api/registry/manifest/aryaniyaps-lamina?format=text
Install alias
/api/registry/install/aryaniyaps-lamina
Recommend
/api/registry/recommend?task=Use%20Lamina%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
TypeScript, Claude Code
Audit report
Safe to try · 84/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Companion skill for Research agents
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
Research agents
Trust label
Strong shortlist
Install path
Command ready
Use when
- Research agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 79/100 quality profile
review first
- No OpenAgentSkill engagement data yet
Implementation path
- 1Install it in a sandbox agent and run one Research agents task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Sandbox only
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
CHECK68 GitHub stars
Stars/forks activity
CHECK68 stars, 3 forks; issue activity unavailable in current metadata
Recent maintenance
PASS7d since push
License clarity
PASSApache-2.0
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- Quality score needs review
- GitHub adoption: 68 GitHub stars
- Stars/forks activity: 68 stars, 3 forks; issue activity unavailable in current metadata
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Strong candidate for agent workflows
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Use this skill in these scenarios
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Add it to a complete workflow
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Design, build, test, and ship interfaces
Frontend and UI
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
Claude Scientific Skills
A comprehensive collection of ready-to-use scientific and research skills for AI agents.
Awesome Claude Skills
A curated list of resources and tools for enhancing Claude AI workflows.
Khazix Skills
A collection of practical, installable AI agent skills for disk cleanup, AI news retrieval, and project management, following the Agent Skills standard.
Overview
<p align="center"> <img src="brand/assets/wordmark/lamina-lockup-readme.svg" alt="lamina" width="360" /> </p>
<p align="center"><em>Design is how it works — not just how it looks.</em></p>
<p align="center"> Headless product design for AI coding agents, backed by a transactional product graph. Lamina helps your agent design how your app works — actors, flows, states, permissions, failures, and edge cases — then verify the live build through independent persona missions. It never edits application source. </p>
---
**Documentation:** [lamina.dev/docs](https://lamina.dev/docs)
## Quickstart
### Let your AI agent install it
Open your project root, paste this into your AI coding agent, and let it handle setup:
```text Install Lamina for this project.
1. Confirm Node.js 20 or newer is available. 2. Run: npm install -g @laminadev/cli@latest npx skills add aryaniyaps/lamina --skill '*' -a '*' -y lamina doctor --json 3. Do not use sudo and do not edit application source. 4. If a command fails, stop and show me the exact error. 5. When complete, report the installed CLI version and agent targets, then tell me to start a fresh agent session and run: /lamina-init <your product domain and primary users> ```
Prefer installing it yourself?
```bash npm install -g @laminadev/cli@latest npx skills add aryaniyaps/lamina --skill '*' -a '*' -y lamina doctor --json ```
The install adds the `lamina` router plus 58 focused workflow and craft skills. They remain first-class siblings so agents can discover and progressively load cross-referenced skills directly. Then start a **fresh agent session** so the complete skill set is available.
### Design, build, and verify
**AGENT CHAT**
```text /lamina-init <your product domain and primary users> /lamina-design <one feature or flow> ```
Run init once per project or domain. Use `/lamina-init update` only when the business use case, market, scope, or actors materially change.
`/lamina-design` publishes a validated p
Platform compatibility
Technical details
- Version
- 1.0.0
- License
- Apache-2.0
- Last updated
- Jul 28, 2026
- Published
- Jul 28, 2026
Frameworks & tools
Decision snapshot
Companion skill
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 84/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for Lamina, ready for a manual X post.
A practical pick for design or creative work: Lamina: Headless product design for AI coding agents, backed by a transactional product graph | Design how it works, verify what yo... 68 stars https://www.openagentskill.com/skills/aryaniyaps-lamina?ref=x
Optional reply with install command
Listing + install path for Lamina: https://www.openagentskill.com/skills/aryaniyaps-lamina?ref=x Install: npx skills add aryaniyaps/lamina
Listing source
Community indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- aryaniyaps
- Source
- aryaniyaps/lamina
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Community indexed listing is attributed to aryaniyaps but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/aryaniyaps-lamina)
[](https://www.openagentskill.com/skills/aryaniyaps-lamina)
[](https://www.openagentskill.com/skills/aryaniyaps-lamina/audit)
[](https://www.openagentskill.com/skills/aryaniyaps-lamina)Author
aryaniyaps
@aryaniyaps
Platform fit
Health signals
- GitHub stars
- 68
- Quality score
- 50/100
- Last GitHub push
- Jul 28, 2026
- Framework hints
- 1
- OpenAgentSkill views
- 0
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Sandbox only
- GitHub adoption68 GitHub starsCHECK
- Stars/forks activity68 stars, 3 forks; issue activity unavailable in current metadataCHECK
- Recent maintenance7d since pushPASS
- License clarityApache-2.0PASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskcommand execution surface, external package install surfaceINFO
Related skills
Claude Scientific Skills
A comprehensive collection of ready-to-use scientific and research skills for AI agents.
31.2K Stars · 0 InstallsAwesome Claude Skills
A curated list of resources and tools for enhancing Claude AI workflows.
65.9K Stars · 0 InstallsKhazix Skills
A collection of practical, installable AI agent skills for disk cleanup, AI news retrieval, and project management, following the Agent Skills standard.
17.8K Stars · 0 Installs