# Literature Review

> Read an academic publication in PDF format and produce a structured Markdown summary. Use when the user asks to summarize a research paper, journal article, conference paper, or any .pdf academic document.

- **Type:** Skill
- **Install:** `agentstack add skill-plusero-agentic-research-skills-literature-review`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [Plusero](https://agentstack.voostack.com/s/plusero)
- **Installs:** 0
- **Category:** [Content & Media](https://agentstack.voostack.com/c/content-and-media)
- **Latest version:** 0.1.0
- **License:** CC0-1.0
- **Upstream author:** [Plusero](https://github.com/Plusero)
- **Source:** https://github.com/Plusero/agentic-research-skills/tree/main/resources/skills/literature-review

## Install

```sh
agentstack add skill-plusero-agentic-research-skills-literature-review
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Academic PDF Summary

## Instructions

1. Identify the PDF path provided by the user.
2. Read the PDF content with available file-reading tools (Note: the Read tool automatically converts PDF to text).
3. Extract the core points with evidence from the paper text:
   - Main contributions
   - Key limitations
   - Open questions raised by the work
   - Trivial but important implementation or methodological details
4. Write the summary to a `.md` file in the workspace (named after the paper's title or a descriptive name).
5. For every bullet point, append a source location in this format: `(Source: p., )`.
6. Use exactly this section order and markdown heading format below, note that the source locations are just examples and you should use the actual source locations from the paper.

```markdown
## Contributions

1. contribution1 (Source: p.3, Introduction, para 2)
2. contribution2 (Source: p.5, Method, "Model architecture" paragraph)
3. contribution3 (Source: p.7, Results, Table 2 discussion)

## Limitations

1. limitation1 (Source: p.8, Limitations section, para 1)
2. limitation2 (Source: p.9, Discussion, final paragraph)
3. limitation3 (Source: p.6, Ablation study paragraph)

## Open Questions

1. question1 (Source: p.9, Future work paragraph)
2. question2 (Source: p.4, Assumptions subsection)
3. question3 (Source: p.10, Conclusion)

## Important Details

1. detail1 (Source: p.11, Appendix A, hyperparameters list)
2. detail2 (Source: p.6, Training setup paragraph)
3. detail3 (Source: p.5, Dataset preprocessing paragraph)
```

## Output Rules

- Keep each list item concise and specific.
- Ground every point in the paper content; do not invent claims.
- If the paper has fewer than three strong points for a section, use the best available evidence and keep wording explicit.
- Every list item must include a source location with page number and a pinpoint cue (section title, table/figure reference, or short paragraph locator).
- Preserve the exact heading formatting and punctuation shown in the template.
- Output only Markdown in the generated `.md` file.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [Plusero](https://github.com/Plusero)
- **Source:** [Plusero/agentic-research-skills](https://github.com/Plusero/agentic-research-skills)
- **License:** CC0-1.0

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-plusero-agentic-research-skills-literature-review
- Seller: https://agentstack.voostack.com/s/plusero
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.