# academic-research-prisma-wiki-rag

> academic-research-prisma-wiki-rag — giovannifrontera-academic-research-prisma-wiki-rag. Use this tool when you need to streamline academic research and systematic reviews by ingesting PDF manuals, persisting knowledge, and providing pre-search context through wiki integration. It solves problems of manual data extraction, knowledge loss, and context switching, enabling efficient and accurate reviews. Ideal for researchers, academics, and students working on systematic reviews and meta-analyses, it takes in PDF manuals and outputs a structured knowledge base with persistent context.

Canonical page: https://skillsregistry.net/skills/giovannifrontera-academic-research-prisma-wiki-rag  
JSON: https://api.skillsregistry.net/v1/skills/giovannifrontera-academic-research-prisma-wiki-rag

## Description

PRISMA systematic review workflow enhanced with Claude Code wiki integration — PDF manual ingestion, knowledge persistence, pre-search wiki context

## Trust

- **Trust score (0–1):** 0.75
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/giovannifrontera/academic-research-prisma-wiki-rag)

## 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": "giovannifrontera-academic-research-prisma-wiki-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/giovannifrontera-academic-research-prisma-wiki-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/giovannifrontera-academic-research-prisma-wiki-rag/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