# claude-research-pack

> claude-research-pack — the-fish-salmon-claude-research-pack. Use this tool when you need to streamline research workflows and organize academic papers across multiple devices. The claude-research-pack solves problems related to deep research, paper capture, and literature status tracking by providing a portable solution with multiple install paths and integrations with Obsidian, arxiv, and other academic resources. It takes in research inputs and outputs organized knowledge graphs, making it ideal for use in academic and research contexts.

Canonical page: https://skillsregistry.net/skills/the-fish-salmon-claude-research-pack  
JSON: https://api.skillsregistry.net/v1/skills/the-fish-salmon-claude-research-pack

## Description

Portable Claude research pack for Windows: three install paths (Code+WSL, Code-native, Desktop). Deep-research, paper-capture into Obsidian, lit-status, MCP servers (arxiv/Semantic Scholar/scihub/university-paper-access/obsidian), and v3 cross-device research-continuity skills.

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** search
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/The-Fish-Salmon/claude-research-pack)

## 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": "the-fish-salmon-claude-research-pack"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/the-fish-salmon-claude-research-pack` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/the-fish-salmon-claude-research-pack/pull`

---
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