# Survey Generation

> Generate complete academic survey papers using multi-LLM parallel outline generation, RAG-based subsection writing, citation validation, and local coherence enhancement. Based on AutoSurvey pipeline. Use for writing comprehensive literature surveys.

- **Type:** Skill
- **Install:** `agentstack add skill-aravindan20-claude-research-paper-os-survey-generation`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [ARAVINDAN20](https://agentstack.voostack.com/s/aravindan20)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** Apache-2.0
- **Upstream author:** [ARAVINDAN20](https://github.com/ARAVINDAN20)
- **Source:** https://github.com/ARAVINDAN20/Claude-Research-Paper-OS/tree/main/.claude/skills/agent-research-skills/skills/survey-generation

## Install

```sh
agentstack add skill-aravindan20-claude-research-paper-os-survey-generation
```

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

## About

# Survey Generation

Generate complete academic survey papers with structured outline, RAG-based writing, and citation validation.

## Input

- `$0` — Survey topic or research area

## Scripts

### Literature search
```bash
python ~/.claude/skills/deep-research/scripts/search_semantic_scholar.py \
  --query "relevant search query" --max-results 50
```

## References

- Survey prompts (outline, writing, citation, coherence): `~/.claude/skills/survey-generation/references/survey-prompts.md`

## Workflow (from AutoSurvey)

### Step 1: Collect Papers
1. Search Semantic Scholar / arXiv for papers on the topic
2. Collect 50-200 relevant papers with titles and abstracts
3. Filter by relevance and citation count

### Step 2: Generate Outline (Multi-LLM Parallel)
1. Generate N rough outlines independently (parallel)
2. Merge outlines into a single comprehensive outline
3. Expand each section into subsections
4. Edit final outline to remove redundancies

### Step 3: Write Subsections (RAG-Based)
For each subsection:
1. Retrieve relevant papers for the subsection topic
2. Generate content with inline citations `[paper_title]`
3. Enforce minimum word count per subsection
4. Only cite papers from the provided list

### Step 4: Validate Citations
For each subsection:
1. Check that cited paper titles are correct
2. Verify citations support the claims made
3. Remove or correct unsupported citations
4. Use NLI (Natural Language Inference) for claim-source faithfulness

### Step 5: Enhance Local Coherence
For each subsection:
1. Read previous and following subsections
2. Refine transitions and flow
3. Preserve core content and citations
4. Ensure smooth reading experience

### Step 6: Convert Citations to BibTeX
1. Replace `[paper_title]` with `\cite{key}`
2. Generate BibTeX entries for all cited papers
3. Validate all citation keys exist in .bib file

## Output Structure

```
survey/
├── main.tex          # Complete survey paper
├── references.bib    # All citations
├── outline.json      # Survey outline
└── sections/         # Individual section files
```

## Rules

- Only cite papers from the collected paper list — never hallucinate citations
- Each subsection must meet minimum word count
- No duplicate subsections across sections
- Citation validation is mandatory before final output
- Local coherence enhancement must preserve all citations
- The survey should be comprehensive and logically organized

## Related Skills
- Upstream: [deep-research](../deep-research/), [literature-search](../literature-search/), [literature-review](../literature-review/)
- See also: [related-work-writing](../related-work-writing/)

## Source & license

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

- **Author:** [ARAVINDAN20](https://github.com/ARAVINDAN20)
- **Source:** [ARAVINDAN20/Claude-Research-Paper-OS](https://github.com/ARAVINDAN20/Claude-Research-Paper-OS)
- **License:** Apache-2.0

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-aravindan20-claude-research-paper-os-survey-generation
- Seller: https://agentstack.voostack.com/s/aravindan20
- Browse the marketplace: https://agentstack.voostack.com/browse

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