# archlens

> archlens — yijing233-archlens. Use this tool when you need to retrieve and analyze structured architectural case study data for design research. It solves problems of data discovery and filtering, providing downloadable research packages through a natural language interface. By using archlens, users can efficiently browse and extract relevant case studies, streamlining their research workflow.

Canonical page: https://skillsregistry.net/skills/yijing233-archlens  
JSON: https://api.skillsregistry.net/v1/skills/yijing233-archlens

## Description

Enables retrieval of structured architectural case study data for design research, supporting case browsing, filtering, and downloadable research packages through natural language.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mb9cm85to7)
- **Repository:** <https://github.com/YiJing233/archlens>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "yijing233-archlens"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yijing233-archlens` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yijing233-archlens/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt