# paper-evoweb-ai

> paper-evoweb-ai — galizki-paper-evoweb-ai. Use this tool when you need to generate high-quality scientific articles quickly, solving problems of tedious research and citation management. It takes in research topics and keywords as input and produces publication-ready PDF articles with accurate citations as output. Ideal for academics, researchers, and students requiring efficient and reliable content creation for conferences, journals, and other scholarly publications.

Canonical page: https://skillsregistry.net/skills/galizki-paper-evoweb-ai  
JSON: https://api.skillsregistry.net/v1/skills/galizki-paper-evoweb-ai

## Description

Generate publication-ready scientific articles in PDF format with AI-powered research and citations.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/galizki-paper-evoweb-ai)

## 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": "galizki-paper-evoweb-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/galizki-paper-evoweb-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/galizki-paper-evoweb-ai/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