aryaniyaps/lamina/lamina-research
Claude Code and agent skill by aryaniyaps/lamina
- community
Checking that the SKILL.md file is still in the repository.
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
npx vskill@latest install aryaniyaps/lamina/lamina-researchSKILL.md
Lamina 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.
Security
- Security scanPassed, 93 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/lamina-research/SKILL.md
Popularity
- Repository stars
- 114
- Repository forks
- 3
- 7-day trend score
- 24
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
- Claude Code
- Cursor
- GitHub Copilot
- Windsurf
- Codex
- Gemini CLI
- Cline
- Amp
- Roo Code
- Goose
- Continue
- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
Embed badge
[](https://verified-skill.com/skills/aryaniyaps/lamina/lamina-research)